WO2021070974A1

WO2021070974A1 - Information processing device, processing method, and program

Info

Publication number: WO2021070974A1
Application number: PCT/JP2020/043876
Authority: WO
Inventors: 摩耶後藤; 悠石毛; 金田　麻衣子; 弥生小西
Original assignee: 株式会社日立ハイテク
Priority date: 2019-10-11
Filing date: 2020-11-25
Publication date: 2021-04-15
Also published as: JP2021064137A

Abstract

An information processing device comprising a control unit that executes the following: acquiring information pertaining to an infectious disease epidemic; generating, on the basis of the information pertaining to the infectious disease epidemic and for an organization including a plurality of users, schedule information in which said information is included; and designating groups to which users belong in the organization as distribution destinations in accordance with the infectious disease epidemic situation, and distributing the schedule information.

Description

Information processing equipment, processing methods and programs

The present invention relates to an information processing device, a processing method, and a program of an information system that collects and distributes related information about infectious diseases such as influenza.

Conventionally, the "Act on Prevention of Infectious Diseases and the Act on Patients with Infectious Diseases (New Infectious Diseases Act)" has been known as an infectious disease-related law caused by infection with pathogens such as bacteria and viruses. With the enactment of this new law on infectious diseases, various measures have been taken to prevent and prevent the spread of infectious diseases. For example, in the case of infectious diseases such as influenza, information on the epidemic of the infectious disease (for example, influenza epidemic level map) prepared based on the number of patients who visited a medical institution by local governments or government agencies is appropriately published. Measures have been taken. In addition, even within organizations such as companies, for example, vaccination recommendations, wearing masks, washing hands, gargling, etc., and if a doctor diagnoses an infected person, the employee's behavior is to wait at home until healed completely. Measures have been taken to control this.

The following patent documents exist as prior art documents that describe the techniques related to the techniques described in the present specification.

Japanese Unexamined Patent Publication No. 2011-65540 Japanese Unexamined Patent Publication No. 2016-218598

In the prevention of infectious diseases and the prevention of spread, it is an important factor to prevent exposure to pathogens by avoiding contact with infected persons. However, if there is an incubation period from infection with a pathogen to the onset of the disease, such as influenza, and it takes a period of time to be diagnosed as an infected person even after the onset of the disease, the infected person has the above period. I can't realize that I have been infected with an infectious disease. For this reason, an unaware infected person (an infected person who has not been diagnosed with an infectious disease by a doctor) cannot intentionally avoid the opportunity of contact with another person during the above period. That is, a secondary infection to another person by an unconscious infected person may be caused. The same applies to the other side who comes into contact with an unconscious infected person. The other person may be secondarily infected by the infected person because the opportunity of contact with the unconscious infected person cannot be avoided intentionally. According to the WHO (World Health Organization), the number of people infected with seasonal influenza is more than 1 billion every year, and secondary infections by the above-mentioned unaware infected people also contribute to the spread of infection. It has become.

By the way, the economic impact of more than 1 billion infected people every year (increased medical costs, decreased productivity of companies) is enormous, and according to WHO estimates, it is more than $ 60 per person. Further, in a company or the like, an increase in absenteeism due to a secondary infection in the organization may cause an economic loss such as a decrease in productivity and a loss of human capital such as squeezing a customer date or delivery date.

Prevention and prevention of infectious diseases among managers and managers who are responsible for the results of departments and departments that manage employee health (hereinafter also referred to as "departments, etc.") and departments under management supervision. It is required to take appropriate preventive measures against. However, information on infectious diseases (for example, information on types of infectious diseases, information on epidemics, etc.) is scattered in each local government. Then, it was difficult to collect information for taking appropriate preventive measures from scattered information in busy work and utilize it for management of employees belonging to departments and the like. Such problems occur not only in companies but also in various organizations such as government offices, local governments, schools, and local residents' associations. The same occurs in organizations on the Internet that subscribers voluntarily subscribe to and organizations in which Internet service providers provide services.

The present invention has been made in view of such circumstances, and an object of the present invention is to provide a technique capable of managing preventive measures according to the epidemic situation of infectious diseases such as influenza.

In order to achieve the above object, one embodiment of the present invention is exemplified as an information processing device of an information system that collects and distributes related information about infectious diseases such as influenza. This information processing device acquires information on the epidemic of infectious diseases, and generates schedule information including information for an organization including a plurality of users based on the information on the epidemic of infectious diseases. It is provided with a control unit for designating a group to which users in the organization belong as a delivery destination and delivering schedule information according to the situation of an infectious disease epidemic.

According to the present invention, it is possible to provide a technique that enables management of preventive measures according to the epidemic situation of infectious diseases such as influenza.

It is a figure which shows an example of the functional block of the information system which concerns on embodiment. It is a figure which shows an example of the display screen which displays the schedule information. It is a figure which shows an example of the screen form which displays the schedule information in the case of having a dedicated delivery destination. It is a figure which shows an example of the screen form which displays the detail of information. It is a figure which shows an example of the hardware configuration of the information processing apparatus which concerns on embodiment. It is a figure which shows an example of the functional structure of an information processing apparatus. It is a figure explaining the schedule information which concerns on this embodiment. It is a flowchart which shows an example of the acquisition process of the public information which concerns on this embodiment. It is a flowchart which shows an example of the acquisition process of the in-house information which concerns on this embodiment. It is a flowchart which shows an example of the epidemic level determination process about the infectious disease which concerns on this embodiment. It is a flowchart which shows an example of the epidemic prediction processing about the infectious disease which concerns on this embodiment. It is a flowchart which shows an example of the processing about the schedule information which concerns on this embodiment. It is a flowchart which shows an example of the processing about the event related to the past schedule of the onset person which concerns on this embodiment. It is a flowchart which shows an example of the processing about the schedule information based on the public information which concerns on this embodiment.

Hereinafter, the information system according to the embodiment will be described with reference to the drawings. The configuration of the following embodiments is an example, and the information system is not limited to the configuration of the embodiment.

[Embodiment 1]
1. 1. System Overview FIG. 1 is a diagram showing an example of an overall functional block of the information system 1 in the present embodiment. The information system 1 in the present embodiment is a system that collects related information about infectious diseases such as influenza (hereinafter, also simply referred to as "infectious diseases") and distributes them to an organization such as a company. Here, as an "organization", in addition to companies, organizations such as government offices, schools, hospitals, local governments, and local residents' associations are exemplified. Further, the "organization" may be an organization on the Internet to which the subscriber voluntarily subscribes, or an organization to which the Internet service provider provides the service. In the following, a company will be described as a representative example of an “organization”. An organization may include a plurality of groups (for example, departments or departments in the case of a company) to which the members constituting the organization belong. In addition, the members constituting the organization can be said to be employees in a company or the like, and can also be said to be users of the information distributed by this information system.

The information system 1 shown in FIG. 1 includes an information processing device 10 that collects and transmits various information related to infectious diseases. In this information system, the information processing device 10 includes an information disclosure server 20 that discloses information on the epidemic of an infectious disease through network N, and an organization information server 30 that manages information in an organization that takes preventive measures against the infectious disease. Are interconnected. Further, the network N is connected to a groupware called a scheduler and a schedule management system (40A to 40C) for each company to which the information distributed by the information system is distributed. Hereinafter, each schedule management system is also referred to as a "scheduler", and the schedulers (40A to 40C) are also collectively referred to as a "scheduler 40". The network N includes a public network such as the Internet, a wireless network such as a mobile phone network, a dedicated network such as VPN (Virtual Private Network), and a network such as LAN (Local Area Network). Although a single information disclosure server 20 and an organization information server 30 are typically illustrated in FIG. 1, a plurality of information disclosure servers 20 and an organization information server 30 can be connected to the network N. Similarly, a plurality of schedulers 40 of three or more can be connected to the network N.

The information disclosure server 20 (hereinafter, also simply referred to as "server 20") is a computer on which information on infectious diseases is disclosed. Information on infectious diseases is disclosed as, for example, regional information for each predetermined unit (prefecture, municipality, school district, etc.). The information disclosure server 20 may be a single computer or a collection of a plurality of computers, for example, a system called a cloud. The public information disclosed through the server 20 is managed by, for example, a local government, an administrative agency, or a contractor entrusted by the local government or an administrative agency. Public information includes, for example, the number of people infected in the area for each type of infectious disease, the number of people vaccinated against infectious diseases in the area, the population distribution and gender ratio in the area, the age distribution, the traffic volume and the number of migrants. Is done. It also includes regional information on the epidemic of the infectious disease, created based on the number of patients who visited medical institutions such as hospitals, clinics, and health centers. The public information disclosed by the server 20 is acquired by the information processing device 10 through the network N at regular periodic intervals.

The organization information server 30 (hereinafter, also simply referred to as "server 30") is a computer constructed by a company or the like that manages information (in-house information) in the organization regarding prevention of infectious diseases. The organization information server 30 may be a single computer or may be composed of a plurality of computers. As information on the prevention of infectious diseases in the company managed by the server 30, for example, the number of infected persons in the company (the number of infectious diseases, hereinafter, the infected persons are also referred to as "infectious diseases"), the infection of employees. Includes immune information (vaccinated, morbidity history, etc.) against the disease. In addition, information about the organization to which the affected person belongs (identification information such as department name, department name, name of the employee to which the patient belongs, attribute information such as employee gender, age, place of residence, family structure, commuting route, etc.), organizational unit Location information (building location, office location, floor location, etc.) is included. Information in the organization regarding the prevention of infectious diseases managed by the server 30 is acquired by the information processing device 10 through the network N at regular periodic intervals.

The scheduler 40 shares information between client terminals connected to the network through the network constructed in the company, and manages the schedule related to the business execution of each organization constituting the company and the employees to which the company belongs. It is a system that has a function to do. In the scheduler 40, for example, an employee who operates a client terminal registers a schedule related to an action such as a meeting or a business trip scheduled to participate by designating a due date (start time, end time). In addition, the manager or manager of the organization registers the schedule for the organization under management and supervision by designating the due date through the client terminal operated by the manager or the manager. Employees who operate client terminals can grasp their own action schedule and the schedule of the organization to which they belong by viewing the schedule related to business execution displayed on the display screen through the browser function of the terminal, for example. it can.

The information processing device 10 according to the present embodiment collects public information disclosed by the server 20 and in-house information of a company or the like managed by the server 30 through the network N, and the collected information is used as a resource such as a database (DB). It has a recording function B1. In addition, the information processing device 10 has a function B2 for predicting an epidemic state of an infectious disease in a company or region based on the collected public information or in-house information. The epidemic state of infectious diseases in companies and the like is predicted, for example, for a predetermined period in the future.

The information processing device 10 according to the present embodiment includes a function B3 that generates schedule information including infectious disease information related to infectious diseases based on collected public information, in-house information, and predicted epidemic conditions. The schedule information is generated in a format that can be registered in each scheduler 40 of each company or the like. As will be described later, the designation of the delivery destination (organization such as department, individual, etc.) in the company is changed according to the epidemic situation of the infectious disease. The generated schedule information is distributed to each scheduler 40 of each company or the like through the network N.

The scheduler 40 registers the delivered schedule information as shared information of the designated delivery destination. For example, when an organization such as a department is designated as the delivery destination, the registered schedule information is shared with employees belonging to the department or the like. Further, for example, when an individual (employee) is specified as the delivery destination, schedule information is shared between the individual and the manager or manager of the organization to which the individual belongs. The shared schedule information enables departments that manage employee health and managers and managers of organizations to take preventive measures to prevent infectious diseases and prevent their spread. Since there is a standard format for distribution of schedule information, it is desirable to comply with it. As a result, even if the type of scheduler is different for each customer company, or even if multiple types of schedulers are used in the company, it is possible to deliver schedule information without worrying about the difference in schedulers. ..

FIG. 2 is an example of a display screen of schedule information registered in the scheduler 40. In the schedule screen A1 illustrated in FIG. 2, a calendar-type scheduler is illustrated. On the schedule screen A1, the schedule of the employee who operates the client terminal on the date when the start time and the end time are specified is displayed together with the day name that distinguishes the seven days of the week. The schedule screen A1 shown in FIG. 2 is an example of a form in which the status of influenza epidemics in a company is displayed as schedule information.

In FIG. 2, as shown in the screen element A1a, the number of infected persons who have been reported to have an infectious disease in the company is distributed as daily schedule information with a specified date. In the schedule, the screen element A1g in the hatched area surrounded by the rectangular frame represents the current date when the employee operating the client terminal accesses the scheduler 40.

In the screen element A1a, the number of cases of influenza infection reported on the relevant date (October 28: Monday) is displayed on the schedule as "1 person". Similarly, for example, in the screen element A1e, the number of cases reported to be infected with influenza on the relevant date (November 4: Monday) is displayed on the schedule as "14". The information processing device 10 distributes the number of infected persons on a daily basis when an infection is reported as schedule information with a designated due date.

In addition, in the screen element A1h, alert information indicating the epidemic situation in the company of the infectious disease, which is determined based on the number of infected persons at the present time, is displayed on the schedule. Judgment indicating such an epidemic situation is made based on, for example, the type of infectious disease (influenza, measles, noro, etc.), the degree of influence of the infectious disease on business performance, the number of infected persons, and the like. The degree of influence on infectious diseases is determined in advance for each type of infectious disease by companies that take preventive measures. For example, infectious diseases such as measles have a high infection rate, and the number of vaccinated people who receive measles-preventing vaccines in early childhood is decreasing. Infection of pregnant women can also affect the foetation and is at high risk. For this reason, measles is predetermined as an infectious disease with a high degree of influence. On the other hand, an infectious disease having a low infection rate and an infectious disease having a low risk when infected are predetermined as an infectious disease having a low degree of influence. This information treatment device, which has acquired the number of infected persons in a company, determines, for example, alert information indicating the epidemic situation in the company of the infectious disease according to the type of infectious disease, and schedules the alert information regarding the infectious disease. Deliver by including in information.

As alert information, for example, in the case of influenza, alert information (“epidemic”, “epidemic warning”, “epidemic warning”, etc., indicating the status of an epidemic in a company, which is determined by the same determination method as that of a local government, etc. Four levels of alert levels such as "convergence") are shown. For example, when the average number of new cases per population in a predetermined period up to the previous day exceeds 1.0, it is determined that influenza has entered an epidemic period (“epidemic”). Then, for example, when the average number of new cases per group in the predetermined period up to the previous day is 10.0 or more and less than 30.0, "epidemic warning" is used as alert information, and the average number of new cases per group in the predetermined period up to the previous day is If the number of persons is 30.0 or more, "epidemic warning" is determined as alert information. When the number of new cases is less than 10.0, the "convergence" of the infectious disease is determined. The alert level of the four-stage alert information indicating the epidemic situation in the company can be switched according to the number of cases. However, the number of new cases, which is the above-mentioned alert level threshold, can be arbitrarily changed from the viewpoints of population size, risk of infectious diseases, and importance in the enterprise.

In FIG. 2, in the screen element A1h, alert information in which the schedule period is specified with the start date as "November 4" and the end date as "November 8" is exemplified. In addition, in the screen element A1h, the title related to the influenza pandemic delivered as schedule information: "General affairs alert: Caution! Influenza pandemic on the 4th floor" is displayed on the schedule.

Similarly, the schedule screen A1 of FIG. 2 is generated based on past epidemic performance information (influenza pandemic level map, etc.) regarding the epidemic of the region and the function B2 for predicting the epidemic in the company or region. The prediction information is converted into a schedule, and is displayed as screen elements A1i and A1j. In the screen element A1i, alert information in "Minato Ward" where the start date is "October 31" and the end date is "November 22" and the schedule period is specified ("Warning level reached (actual)") Is illustrated. Similarly, in the screen element A1j, the alert information in "Minato Ward" where the start date is "November 26" and the end date is "November 28" and the schedule period is specified ("Alarm level reached (prediction)" ) ”) Is exemplified.

In managers and managers who share the schedule information generated by this information processing device, departments that manage the health of employees, etc., epidemics of infectious diseases in companies and regions are transmitted through the management screen as shown in Fig. 2. You can get information about the situation.

As a form of sharing the schedule information, for example, the scheduler 40 may have a dedicated delivery destination for sharing the schedule information within the organization. The information processing apparatus acquires, for example, an account for a dedicated delivery destination from the scheduler 40 in advance. Then, the information processing apparatus may distribute the schedule information generated to the distribution destination from which the account has been acquired.

FIG. 3 is an example of a display screen that displays schedule information when a dedicated delivery destination is provided. On the display screen A2 of FIG. 3, a schedule screen A3 displaying an individual schedule for employees and a schedule screen A4 relating to influenza information for information sharing for which a dedicated account has been acquired are displayed in parallel. ..

In the schedule screen A4, screen elements A4a to A4d registered as a schedule are illustrated. In the screen element A4a, information on the "influenza vaccination recommended period" for all employees, in which the schedule period is specified with the start date as "November 11" and the end date as "November 17", is exemplified. ing. Further, in the screen element A4b, alert information in "Tokyo" in which the schedule period is specified with the start date as "November 18" and the end date as "November 20" is exemplified. Similarly, for the screen element A4c, the period from "December 2" to "December 3" is specified, and for the screen element A4d, the period from "December 9" to "December 11" is specified. Predictive information is illustrated.

On the schedule screen A3, each schedule (screen elements A4a, A4c, A4d) registered on the schedule screen A4 is displayed on the employee's individual schedule (screen elements A3a, A3f, A3h). Employees who browse the schedule screen A3 refer to, for example, the shared information on the “influenza vaccination recommended period” (screen element A3a) and register it as a schedule managed by themselves (screen element A3b). In addition, based on the information on influenza alerts in Tokyo (screen element A4b), the employee schedules a period for encouraging his / her preventive action against the influenza, for example, as shown in screen element A3e. Register with. In this way, by acquiring a dedicated account to which schedule information is distributed, information that manages individual employee schedules and schedule information related to influenza displayed at the dedicated account destination are displayed on the same screen. Will be possible. Employees, etc. will be able to plan their own schedule while viewing the schedule information regarding influenza displayed on the dedicated account destination.

The information registered in the dedicated distribution destination can be viewed in detail through the operation of the client terminal, for example. FIG. 4 is an example of a screen for displaying the details of the information registered in the dedicated distribution destination. For example, on the schedule screen A3, when the display operation is performed by superimposing the cursor or the like on the display position of the screen element A3f, the sub window A5 shown in FIG. 4 is displayed on the screen. As shown in the areas A5a and A5b of the sub-window A5, it is possible to confirm the detailed contents of the schedule information registered in the dedicated delivery destination scheduled in the screen element A3f.

In the generation of schedule information, the information processing apparatus 10 according to the present embodiment may trace back the schedule of the infected person and confirm the action schedules of other employees related to the schedule, as will be described later. Good. For example, it is possible to notify other employees who have come into contact during the incubation period of an infected person of the possibility of infection and to induce preventive measures.

According to the information processing device 10 according to the present embodiment, it is possible to provide a technique capable of managing preventive measures according to the epidemic situation of an infectious disease such as influenza.

2. Device Configuration FIG. 5 is a diagram showing an example of a hardware configuration of the information processing device 10 according to the present embodiment. As shown in FIG. 5, the information processing device 10 is a computer including a processor 11, a main storage device 12, an auxiliary storage device 13, a communication IF 14, and an input / output IF 15 connected to each other by a connection bus 16. The main storage device 12 and the auxiliary storage device 13 are recording media that can be read by the information processing device 10. Each of the above components may be provided in a plurality of components, or some components may not be provided. The configuration of the computers constituting the server 20, the server 30, and the scheduler 40 is substantially the same as the hardware configuration of the information processing apparatus 10.

The processor 11 is a central processing unit that controls the entire information processing device 10. The processor 11 is, for example, a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or the like. For example, the processor 11 executably deploys a program stored in the auxiliary storage device 13 in the work area of the main storage device 12, and controls peripheral devices through the execution of the program to achieve a function that meets a predetermined purpose. I will provide a.

However, some or all of the functions may be provided by ASIC (Application Specific Integrated Circuit), GPU (Graphics Processing Unit), or the like. Similarly, some or all of the functions are realized by a dedicated LSI (large scale integration) such as FPGA (Field-Programmable Gate Array), numerical arithmetic processor, vector processor, image processor, and other hardware circuits. May be good. Further, the information processing device 10 may be realized by a single physical configuration, or may be realized by a configuration of a plurality of computers that cooperate with each other.

The main storage device 12 stores a program executed by the processor 11, data processed by the processor, and the like. The main storage device 12 includes a flash memory, a RAM (RandomAccessMemory), and a ROM (ReadOnlyMemory). The auxiliary storage device 13 stores various programs and various data in a readable and writable recording medium. The auxiliary storage device 13 is also called an external storage device. The auxiliary storage device 13 stores, for example, an OS (Operating System), various programs, various tables, and the like. The OS includes, for example, a communication interface program that exchanges data with an external device or the like connected via the communication IF14. The external device or the like is, for example, another computer connected to the network N, an external storage device, or the like.

The auxiliary storage device 13 is used as a storage area for assisting the main storage device 12, and stores a program executed by the processor 11, data processed by the processor 11, and the like. The auxiliary storage device 13 is a silicon disk including a non-volatile semiconductor memory (flash memory, EPROM (Erasable Programmable ROM)), a solid state drive device, a hard disk drive (HDD, Hard Disk Drive) device, or the like. Further, as the auxiliary storage device 13, a drive device for a removable recording medium such as a CD drive device, a DVD drive device, and a BD drive device is exemplified. Examples of the removable recording medium include a CD, DVD, BD, USB (Universal Serial Bus) memory, SD (Secure Digital) memory card, and the like.

The communication IF 14 is an interface for connecting the information processing device 10 to the network N. In the information processing apparatus 10, the communication IF 14 can adopt an appropriate configuration depending on the connection method with the network N.

The input / output IF15 is an interface for inputting / outputting data to / from a device connected to the information processing device 10. For example, a keyboard, a pointing device such as a touch panel or a mouse, and an input device such as a microphone are connected to the input / output IF15. The information processing device 10 receives an operation instruction or the like from an operator who operates an input device via an input / output IF 15.

Further, for example, a display device such as an LCD, an EL (Electroluminescence) panel, or an organic EL panel, and an output device such as a printer or a speaker are connected to the input / output IF15. The information processing device 10 outputs data and information processed by the processor 11 and data and information stored in the main storage device 12 and the auxiliary storage device 13 via the input / output IF 15.

3. 3. Functional configuration FIG. 6 is a diagram showing an example of a more detailed functional configuration of the information processing apparatus 10. The information processing device 10 provides the information processing functions shown in the functions B1 to B3 of FIG. 1 through the execution of the program of the processor 11. These information processing functions are realized by the functional elements (components) shown in FIG. The information processing device 10 includes an information acquisition unit 101, an epidemic level determination unit 102, an infection state prediction unit 103, a schedule information generation unit 104, and functional elements (components) of the schedule information distribution unit 105. Further, the information processing device 10 includes functional elements of the regional information DB 201, the company information DB 202, the employee information DB 203, the infection status DB 204, and the infection prevention DB 205. Each DB as a functional element is constructed by, for example, a program of a database management system (DBMS) executed by the processor 11 of the information processing device 10 manages data stored in the auxiliary storage device 13 or the like. Relational database. The processor 11 that provides the above-mentioned functional elements through the execution of the program is an example of the “control unit”.

The information acquisition unit 101 acquires information on infectious diseases disclosed by the information disclosure server 20 at regular periodic intervals such as half-day units and daily units. For example, the server 20 is pre-assigned with identification information that uniquely identifies the server. The identification information of the server 20 is associated with the area of a predetermined unit (prefecture, city, ward, town, village, school district, etc.) that discloses information on infectious diseases. The information acquisition unit 101 stores the public information acquired from the server 20 in the regional information DB 201 in association with the identification information of the server and the acquired date and time information. Public information includes the number of infected people by type of infectious disease, the number of vaccinated people against infectious diseases, population distribution and gender ratio, age distribution, traffic volume and number of migrants, information on the epidemic of the infectious disease, etc. Is included. In the area information DB 201, the above-mentioned public information acquired from the server 20 is managed for each area of a predetermined unit, for example.

In addition, the information acquisition unit 101 acquires in-house information on the prevention of infectious diseases managed by the organization information server 30 of a company or the like at predetermined periodic intervals. For example, a company or the like is pre-assigned with company identification information that uniquely identifies the company. Then, in the information processing device 10, various information for distributing the schedule information is registered in the company information DB 202 in association with the company identification information. The various types of information are registered in the company information DB 202 together with predetermined information at the time of a contract for distribution of schedule information with, for example, a company or the like. The predetermined information to be registered includes, for example, information indicating the area where the company is located, the IP address of the server 30, the IP address of the scheduler 40, and the type of the scheduler provided by the scheduler 40. Further, the predetermined information includes a template for registering the schedule information delivered to the scheduler in the company provided by the scheduler 40, a dedicated delivery destination account provided for sharing the schedule information, and the like. Further, the predetermined information includes department identification information for identifying a department or the like that uses the scheduler.

The information acquisition unit 101 stores a part of the in-house information acquired from the server 30 based on the company identification information in the company information DB 202. For example, the location information of the building in which each department or the like resides, the location information of the floor, the location information of the office on the floor, etc. are stored in the company information DB 202 in association with the department identification information.

Similarly, the information acquisition unit 101 stores a part of the in-house information acquired from the server 30 in the employee information DB 203. For example, the number of employees constituting the department, composition information such as gender ratio and age distribution, attribute information of employees (name, gender, age, place of residence, family composition, commuting route, etc.) are associated with the department identification information. Is stored in the employee information DB 203. Similarly, immune information for each employee (presence or absence of vaccination, morbidity history for infectious diseases, etc.) is stored.

Further, the information acquisition unit 101 stores the information about the infected person in the in-house information in the infection status DB 204. Information on infected persons includes, for example, the number of infected persons in companies and the like, and the distribution of the number of infected persons by department. In addition, the name of the infected person who was newly reported to be infected, the date information when the infection was reported, and the event information (meeting, etc.) registered in the schedule of the infected person in the predetermined period before the date when the infection was reported are included. .. In addition, the name of the employee who participated in the event registered in the schedule of the infected person who newly reported the infection, the event information that the employee plans to participate in the predetermined period after the present time, and the like are included. The information acquisition unit 101 stores the information about the infected person in the infection status DB 204 in association with the company identification information and the date information when the information about the infected person is acquired.

In addition, the information acquisition unit 101 participates in the event information in the predetermined period before the date when the infection of the infected person is reported, the name of the employee who participated in the event, and the predetermined period after the present time of the employee through the scheduler 40. May get information on upcoming events. For example, the information processing apparatus 10 designates the name of the infected person and the date when the infection is reported to the scheduler 40, and provides event information for a predetermined period before the date when the infection of the infected person is reported, and the event. Request notification of the names of employees who participated in. The scheduler 40, for example, extracts and responds to the above information about an infected person registered in a database or the like. Then, the information processing device 10 may specify the name of the employee who participated in the event, and request the scheduler 40 to notify the event information that the employee plans to participate in in a predetermined period after the present time. .. By the response from the scheduler 40 to the notification request, it is possible to acquire event information that the employee is scheduled to participate in in a predetermined period after the present time.

The epidemic level determination unit 102 determines the current epidemic level of an infectious disease in a region or a company. The epidemic level is determined based on the type of infectious disease in which the infection was reported (influenza, measles, norovirus, etc.), the degree of influence of the infectious disease on business performance, and the number of infected persons. The degree of influence on infectious diseases is determined in advance for each type of infectious disease by companies that take preventive measures. For example, an infectious disease having a high infection rate such as measles is predetermined as an infectious disease having a high degree of influence. On the other hand, infectious diseases with a low infection rate and infectious diseases with a low risk of infection are predetermined as infectious diseases with a low degree of influence. Such information is, for example, associated with each type of infectious disease for each company and registered in advance in the infection prevention DB 205. The determined epidemic level is included in the schedule information as, for example, alert information.

In the infection prevention DB 205, the name of the infectious disease, the incubation period of the infectious disease, the waiting period at home after the onset, the degree of influence of the infectious disease (high, medium, low, etc.), the judgment method, and the preventive measures for each alert level are described. Templates such as messages are associated and stored. For example, in the case of influenza, four levels of alert levels such as "epidemic", "epidemic warning", "epidemic warning", and "convergence" are provided. Depending on the alert level, vaccination recommendations, mask wearing, hand washing, gargling, etc., encouraging sleep time, recommending the use of video conferencing and humidifiers, prevention of restraining employee behavior such as waiting at home A template of information about countermeasures is stored. The fashion level determination unit 102 delivers the determination result to the schedule information generation unit 104. The determination result is handed over to the schedule information generation unit 104 together with, for example, company identification information, time information on which the determination was made, the name of the infectious disease, the name of the new onset, and the like.

The infection status prediction unit 103 predicts the infection status (epidemic level) for a predetermined period after the present time in the company in which the infected person was reported. The infection state prediction unit 103 has at least one of, for example, the number of people who have developed an infectious disease, immune information for each employee against the infectious disease, information on the tissue to which the person has the disease belongs, and location information on the range of action of the person who has the disease. Predict the epidemic level of infectious diseases based on one piece of information.

In addition, the infection prediction unit 103 predicts the infection state for a predetermined period after the present time in the area including the location of the company, the activity point of the company such as the business partner. The infection status prediction unit 103 includes, for example, the number of infected persons, the number of vaccinated persons, the population distribution and gender ratio in the area, the age distribution, the traffic volume and the number of migrants, and the number of patients who consulted a medical institution in the past predetermined period of the area. Predict the epidemic level of an infectious disease based on at least one of the regional information on the epidemic of the infectious disease prepared based on.

The infection state prediction unit 103 may be realized by, for example, AI as a discriminator in which the transition of the number of infected persons for each infectious disease is learned as teacher data. Various types of information described above are input to the infection state prediction unit 103. Then, for example, if the output of the discriminator for the infectious disease epidemic level (alert level regarding the infectious disease epidemic) within a predetermined period is equal to or higher than the threshold value (for example, 0.9), the epidemic level in the relevant period is equal to or higher than the threshold value. It can be judged that it has become an epidemic level. From the information on the tissue to which the affected person belongs and the location information on the action range of the affected person, for example, the epidemic level related to the infectious disease can be predicted for each department, each floor or office where the department is located. The classifier may use other information such as temperature and humidity, the time when the onset was reported, the weather forecast, and the like as input data. It is possible to improve the prediction accuracy regarding the epidemic level of infectious diseases. The prediction result of the infection state prediction unit 103 is handed over to the schedule information generation unit 104.

The schedule information generation unit 104 generates schedule information based on public information on infectious diseases in each region acquired through the information acquisition unit 101, in-house information for each company, current epidemic level, and predicted epidemic state. .. For example, based on public information on the epidemic of infectious diseases in each region, schedule information is generated in which the information is shared by departments and employees in the company on the scheduler 40. The schedule information includes alert information regarding an epidemic of an infectious disease, such as an influenza pandemic level map published by a local government or an administrative agency such as a region. The schedule information generation unit 104 determines the content included in the schedule information, the delivery destination (company, department within the company, individual employee), and the due date (start time, end time) according to the type of infectious disease and the alert level. Change the designation etc. For example, for a company or a department within the company, an epidemic prediction regarding an infectious disease in the area where the company or the like is located and a schedule information based on the current epidemic level are generated. In addition, for employees, schedule information is generated according to the epidemic level and epidemic prediction of the infectious disease in the area where the employee lives.

The same applies when an infected person is reported within the company. The schedule information generation unit 104 predicts the epidemic level of the infectious disease and the epidemic state (epidemic level) in a predetermined period after the present time, for example, based on the number of infected persons and the immune information of employees. Then, the schedule information generation unit 104 sets the content included in the schedule information, the delivery destination (company, department within the company, individual employee), and the due date (start time, according to the alert level regarding the type of infectious disease and the epidemic). Change the designation of (end time). For example, schedule information based on the epidemic level and the predicted epidemic state in the enterprise is generated for the departments in the enterprise related to the enterprise and the affected person. For example, schedule information including alert information according to the location information of the building, floor, office, etc. where the affected person is located is generated. In addition, the delivery destination is changed according to the type of infectious disease in which the infection was reported.

In addition, based on the name, attribute information, or date information of the newly reported infected person, the relevance on the schedule with the infected person during the past predetermined period. Other employees, etc. who have (events such as meetings where contact is presumed) are identified. Then, schedule information according to the alert level is generated for the specified employees and the like. The schedule information generation unit 104 acquires event information for the specified employee who is scheduled to participate in a predetermined period after the present time, specifies a due date, and changes the form of participation in the event. Can also be encouraged. The schedule information generation unit 104 delivers the generated schedule information to the schedule information distribution unit 105 together with the designation of the distribution destination. The schedule information distribution unit 105 distributes the generated schedule information to the scheduler 40 connected to the network N according to the designated distribution destination.

FIG. 7 is a diagram for explaining the schedule information according to the present embodiment. The schedule information generated by the schedule information generation unit 104 includes at least each item of schedule title, place information, date and time information, comments, and delivery destination.

In FIG. 7, the schedule title is the title of information on infectious diseases delivered by the schedule information. The schedule title contains information indicating the name of the infectious disease. The schedule title is composed of information and the like associated with the name of the infectious disease. The associated information includes, for example, "the epidemic record of the X month and X day (real-time information of the epidemic level / fixed point observation value for each region)" indicating the content of the information published in the region. Here, the "real-time information of fixed-point observation values" is the number of patients per medical institution in a predetermined unit period (for example, one week) calculated based on the number of new patients reported by the medical institution in the area. Represents. As other information constituting the schedule title, there is "prediction prediction of X month X day (prediction level of epidemic level / fixed point observation value for each region)" and the like. Further, as information on the epidemic of infectious diseases in the company, "the epidemic record of the X month and X day in the company (number of new cases)", "the epidemic forecast of the X month and X day in the company" and the like can be included. .. It also contains information on recommendations for vaccination against infectious diseases. The schedule title is displayed as information indicating the contents of screen elements on the schedule on which the schedule information is displayed, as illustrated in FIGS. 2 to 4. For example, on the display screen A1 of FIG. 2, it is displayed as screen elements A1g, A1i, and A1j on the schedule.

Location information is information (prefectures, cities, wards, towns, villages, school districts, etc.) that represents the area of origin of information on infectious diseases delivered as schedule information. Further, in a company or the like, the position information (building position, floor position, department position, etc.) in the company in which the affected person is confirmed is specified in a predetermined unit. The date and time information includes a due date (start date, end date) for registering the schedule information as a shared schedule. For example, the date when the report of the infectious disease is confirmed can be specified as the start date, and the end date can be specified at least after the period during which the infectious disease can be transmitted in the company has elapsed, depending on the type of infectious disease. The above period according to the type of infectious disease is registered in advance in, for example, the infection prevention DB 205.

Other information includes, for example, the number of infected people in the area or company, and the number of absentees in the company. The comment includes information indicating a message according to the delivery destination to which the schedule information is delivered, a message according to the epidemic level of the infectious disease (epidemic, epidemic warning, epidemic warning, convergence, etc.). The template of the above message constituting the comment is registered in advance in, for example, the infection prevention DB 205. The content of the message included in the comment may be edited by a predetermined person (general affairs person, manager, manager, etc.) such as a department sharing schedule information.

The delivery destination is information indicating the delivery destination to which the schedule information is delivered. For example, if the information about infectious diseases included in the schedule information is public information published in the area, etc., the delivery destination for sharing the information within the company (jurisdiction department or manager who takes preventive measures such as general affairs) , Managers, employees whose place of residence is in an endemic area, etc.) are preset. In addition, when having a dedicated delivery destination account for sharing information on infectious diseases, the delivery destination having the account is specified.

Furthermore, in the case of a company that has an infected person, the delivery destination can be switched according to the type of infectious disease, the degree of influence of the infectious disease, the number of infected people, and the like. For example, the department in which the infected person occurs is referred to as "department A". Delivery destinations are specified according to the type of infectious disease, the degree of influence of the infectious disease, the number of infected people, etc., and move into the same floor as department A, department B adjacent to department A, and department A where the infected person occurred. It can be switched on a department-by-department basis, such as departments B to D and departments B to F that move into the same building as department A.

The same applies to employees. For example, a person who may have contacted an infected person in the past, a person who does not have immune information (a person who has not been vaccinated against an infectious disease, no history of illness against an infectious disease), etc. It can be switched on an individual basis according to the degree of impact, the number of infected people, etc.

4. Processing Flow Next, the processing flow related to the schedule information in the information processing apparatus will be described with reference to FIGS. 8 to 14. The processes shown in the flowcharts of FIGS. 8 to 14 are provided by the processor 11 of the information processing device executing a program stored in the auxiliary storage device 13. In addition, these flows are periodically executed in a predetermined period unit such as a daily unit.

FIG. 8 is a flowchart showing an example of the public information acquisition process executed by the information processing apparatus. After the start of the process, in step S101, public information about the infectious disease is acquired. Public information is information published by the local government or administrative agency that is the source of the disclosure. The public information includes, for example, the name and type of infectious disease, the location information of the source (prefecture, municipality, school district, etc.), the number of infected people in the area, immune information, population distribution, gender ratio, age distribution, etc. Includes traffic volume, number of travelers, etc. It also includes information on epidemics of infectious diseases (epidemic level maps, etc.). The acquired public information is, for example, associated with identification information that identifies the public information (for example, identification information of the regional information server 20) and is passed to step S102, and the process proceeds to step S102. In step S102, the acquired public information is stored in the regional information DB 201. When the process of step S102 is completed, this routine is temporarily terminated.

FIG. 9 is a flowchart showing an example of the acquisition process of in-house information of a company or the like executed by this information processing apparatus. After the start of the process, in step S111, in-house information about the infectious disease of the company is acquired. In-house information includes the type of infectious disease reported by the affected person, the number of affected persons, the number of absentees, the immune information for each employee (vaccinated person, morbidity history, etc.), and the location information for each organization (building location, floor). Location, location information (office location) where the department moves in) is included. It also includes department information (department name, department name, employee identification information (name, employee number, etc.), employee attribute information (gender, age, place of residence, family structure, commuting route, etc.)). The acquired in-house information is, for example, associated with the company identification information that identifies the company and is passed to step S112, and the process proceeds to step S112. In step S112, the acquired in-house information is stored in a predetermined DB (company information DB 202, employee information DB 203, infection status DB 204). When the process of step S112 is completed, this routine is temporarily terminated.

FIG. 10 is a flowchart showing an example of an epidemic level determination process regarding an infectious disease executed by this information processing apparatus. After the start of the process, in step S121, the number of new cases is acquired by referring to the predetermined DB in which the in-house information is stored. The acquired number of infected persons is, for example, handed over to step S122 in association with company identification information and date information, and the process proceeds to step 122. In step S122, the epidemic level according to the type of infectious disease and the current number of infected persons is specified according to the epidemic level determination method stored in the infection prevention DB 205. For example, in the case of influenza, 4 such as "epidemic", "epidemic warning", "epidemic warning", "convergence", etc., which indicate the epidemic situation according to the number of new cases, as in the case of local governments. The alert level of the stage is determined. When the process of step S122 is completed, this routine is temporarily terminated.

FIG. 11 is a flowchart showing an example of an epidemic prediction process regarding an infectious disease executed by this information processing apparatus. After the start of the process, in step S131, the number of infectious disease cases, immune information, department information, and location information in the current company are acquired by referring to a predetermined DB in which the in-house information is stored. After the process of step S131, the process proceeds to step S132. In step S132, the current epidemic level of the infectious disease is acquired and the process proceeds to step S133. In step 133, the area information DB 201 is referred to, and public information regarding the current infectious disease is acquired for the area including the activity point of the company. The public information includes the name and type of infectious disease, location information of the source (prefecture, municipality, school district, etc.), number of infected people in the area, immune information, population distribution, gender ratio, age distribution, traffic volume. , Number of migrants, etc. are included. It also includes information on epidemics of infectious diseases (epidemic level maps, etc.). After the process of step S133, the process proceeds to step S134.

In step S134, the epidemic situation of the infectious disease is predicted from the present to the future in a predetermined period based on the information acquired in steps S131 to S133. By the processing of step S134, for example, the transition of the alert level in four stages in a predetermined period such as "trend", "trend warning", "trend warning", and "convergence" regarding the company or the area including the activity point of the company. Is expected. For example, in the AI (infection state prediction unit 103) realized as a discriminator, the number of new cases, the date, etc. for each region to be predicted or for each group in the company are input parameter strings {xi, i. = 1, 2, ..., N} is input. Then, the weight coefficient {wi, j, l (where j is a value from 1 to the number of elements M to be convolved, l is a value from 1 to the number L of the hierarchy)} is added to the input parameter sequence. The convolution process to be calculated, the activation function for determining the result of the convolution process, and the pooling process, which is a process for thinning out a part from the determination result of the activation function for the convolution process, are executed. Then, the discriminator repeatedly executes the above processing over a plurality of layers L, and outputs the number of newly-onset patients for each date in the final stage connecting layer {yk, k = 1, ..., P}. It should be output as. Based on the output result of the classifier, when the number of new cases exceeds 1.0, it is determined that the influenza has entered the epidemic period (“epidemic”). When the number of new cases is 10.0 or more and less than 30.0, "epidemic warning" is determined as alert information, and when the number of new cases is 30.0 or more, "epidemic warning" is determined as alert information. Then, when the number of new cases is less than 10.0, it is sufficient to determine the "convergence" of the infectious disease. The predetermined period for epidemic prediction is set in advance for each company in association with the type of infectious disease, the current epidemic level, the number of infected persons, and the like. After the process of step S134, the process proceeds to step S135.

In step S135, a date for changes in the epidemic situation of infectious diseases is specified within the predetermined period. Schedule information is generated based on the due date specified in the process. As a change in the epidemic situation of an infectious disease, for example, the predicted alert level changes from "epidemic warning" to "epidemic warning". For example, a date (start time, end time) within a predetermined period predicted as an "epidemic warning" is specified. Then, the due date (start time, end time) within the predetermined period regarding the "epidemic warning", which is the alert level after the change predicted within the predetermined period, is specified. As for the designation of the due date for such fluctuation, a plurality of due dates are specified depending on the predicted epidemic situation of the infectious disease. When the process of step S135 is completed, this routine is temporarily terminated.

FIG. 12 is a flowchart showing an example of processing related to schedule information executed by the information processing apparatus. In this flow, schedule information corresponding to the epidemic situation of infectious diseases in a company is generated by designating a delivery destination (department unit, individual unit). The generated schedule information is delivered to the specified delivery destination.

After the start of the process, if the type of infectious disease is identified in step S141, the process proceeds to step S142. In step S142, it is determined whether or not the degree of influence (risk) related to the infectious disease is high according to the type of the infectious disease. The degree of influence related to infectious diseases (for example, an index indicating the degree of influence of “high”, “medium”, and “low”) is preset for each type of infectious disease by a company or the like taking preventive measures. In step S142, if the type of infectious disease is set to have a high degree of influence (step S142, “Yes”), the process proceeds to step S143, otherwise (step S142, “No”). "), The process proceeds to step S144.

In step S143, schedule information for infectious diseases having a high degree of influence (high risk) is generated. In the schedule information, for example, all departments in the company are designated as delivery destinations, and the title of the schedule information includes an infectious disease name and an alert level alert information. In addition, the schedule information includes comments such as location information where the infected person was confirmed, the due date, the number of affected persons, the number of absentees, and a specific message. The contents of each item of the schedule information generated for the infectious disease having a high degree of influence are set in advance. The due date is set, for example, with the current date as the start time, and at least the date after the lapse of a predetermined period during which the infectious disease can infect the company is set as the end time. As the predetermined period, for example, a weekly period is exemplified. When the schedule information is generated, the process proceeds to step S146.

In step S144, various information regarding the epidemic of infectious diseases in the company is acquired. For example, information such as the number of reported cases of infected persons, the number of absentees, immune information, location information, department information, current epidemic level, and epidemic prediction is acquired. After the end of step S144, the process proceeds to step S145. In step S145, schedule information according to the epidemic situation is generated for infectious diseases other than “high” degree of influence (that is, infectious diseases having “medium” or “low risk”). For example, the delivery destination of schedule information is specified based on the number of infectious disease cases, the number of absentees, the epidemic level in the company, and the epidemic prediction. Therefore, the delivery destination of the schedule information is limited according to the fashion situation.

For example, if the epidemic level for an infectious disease is "epidemic alert", schedule information including the alert level "epidemic alert" by designating all departments of the building where the department to which the affected person belongs as the delivery destination. Is generated. In the case of the alert level "epidemic alert", the current date is specified as the start time, and the period until the prediction of the epidemic level of the infectious disease reaches "convergence" is specified as the due date. In addition, when the epidemic level for infectious diseases is "epidemic warning", the floor to which the infected person belongs, the adjacent department, or the employee without immunity is specified as the delivery destination and an alert is given. Schedule information including the level "Fad Warning" is generated. In the case of the alert level "epidemic warning", for example, the current date is set as the start time, and the date after the lapse of a predetermined period during which the infectious disease can be transmitted in the company is specified as the end time. In addition, the schedule information includes comments such as alert level corresponding to the name of infectious disease and epidemic level, location information where infected persons were confirmed, number of cases, number of absentees, epidemic level and message according to delivery destination. Is done. When the schedule information is generated, the process proceeds to step S146.

In step S146, schedule information including alert level information corresponding to the type of infectious disease and epidemic level is delivered to the designated delivery destination. When the process of step S146 is completed, this routine is temporarily terminated.

FIG. 13 is a flowchart showing an example of processing related to the employee related to the past event of the affected person, which is executed by the information processing apparatus. In this flow, schedule information that specifies the employee related to the event as the delivery destination, which is specified from the past schedule of the affected person, is generated. The generated schedule information is delivered to employees associated with the affected person's past events.

After the start of the process, if the identification information (name, employee number, etc.) of the newly reported onset is acquired in step S151, the process proceeds to step S152. In step S152, the schedule of the affected person in the past predetermined period is acquired. The predetermined period is, for example, a weekly period set according to the incubation period of the infectious disease or the like. After the process of step S152, the process proceeds to step S153. In step S153, it is determined whether or not the secondary infection to another person has an event (meeting or the like) that can be presumed. In step S153, if the schedule of the affected person in the past predetermined period includes an event in which a secondary infection to another person can be presumed (step S153, “Yes”), the process proceeds to step S154. .. On the other hand, if this is not the case (step S153, “No”), this routine is temporarily terminated.

In step S154, the participants of the event are specified. Participants in the event are identified via the scheduler 40 that manages the schedule of the affected person and the like. For example, it is specified by designating the date of the event and requesting notification of identification information of employees other than the affected person who participated in the event. When the participants of the event are identified, the process proceeds to step S155. In step S155, schedule information in which participants to the event are designated as delivery destinations is generated. In the schedule information, for example, the date when the event is held is specified as the start time, and the incubation period of the infectious disease is specified as the due date as a weekly period. In addition, the schedule information includes comments including the name of the infectious disease, the current epidemic level, the location information where the affected person was confirmed, the immune information of the participants, the message about the event in which the affected person participated, and the like. When the schedule information is generated, the process proceeds to step S156. In step S156, the schedule information in which the participants related to the past event of the affected person are designated as the delivery destination is delivered. When the process of step S156 is completed, this routine is temporarily terminated.

FIG. 14 is a flowchart showing an example of processing related to schedule information based on public information executed by the information processing apparatus. In this flow, schedule information including information on infectious diseases based on public information is generated. The generated schedule information is delivered to a department or employee set in advance for each company, or a dedicated delivery destination specified by an account for sharing the schedule information.

After the start of the process, in step S161, schedule information including information on the infectious disease based on the public information is generated. The schedule information includes the name of the infectious disease, the published epidemic record of the infectious disease, the epidemic prediction, the location information, the due date information, the number of infected people in the area, comments, and the like. When the schedule information based on the public information is generated, the process proceeds to step S162. In step S162, it is determined whether or not there is a dedicated account for sharing the schedule information. In step S162, if there is a dedicated account for sharing schedule information (step S162, "yes"), the process proceeds to step S164, otherwise (step S162, "no"), the process Proceeds to step S163.

In step S163, schedule information is delivered by designating a delivery destination preset for each company. Such delivery destinations include departments such as general affairs for taking preventive measures against infectious diseases. It also includes employees residing in areas where information about infectious diseases has been published. Employees residing in the area are extracted based on, for example, the attribute information stored in the employee information DB 203. Further, in step S164, the schedule information is delivered by designating the delivery destination account. When the process of step S163 or step S164 is completed, this routine is temporarily terminated.

As described above, the information processing device 10 in the present embodiment acquires public information disclosed on a regional basis and in-house information in a company or the like as information on an epidemic of an infectious disease, and manages the database itself. It was configured to be recorded in. Then, the information processing device 10 generates schedule information including information on the epidemic of the infectious disease according to the epidemic situation of the infectious disease in the company or the region based on the acquired public information and the in-house information. It was configured. Then, the information processing device 10 is configured to distribute the schedule information generated according to the epidemic situation of the infectious disease by designating the delivery destination to which the schedule information is shared, such as a company. As a result, the information processing device 10 can collect information on epidemics of infectious diseases scattered in the area and the like, convert the collected information into schedule information that can be viewed through a scheduler adopted by a company or the like, and distribute the information. .. In companies and the like, schedule information including information on epidemics of infectious diseases can be shared among departments and employees whose delivery destinations are specified. For departments and departments that are required to take preventive measures against infectious diseases, managers and managers who manage the work of employees, etc., use the information on the epidemic of infectious diseases included in the schedule information for employee management. Will be possible. According to this embodiment, it is possible to provide a technique capable of managing preventive measures against infectious diseases.

Further, in the present embodiment, the information processing device 10 has an infectious disease based on the number of cases in the company, immune information for each employee, department information, location information (building position, floor position, office position) and the like. The configuration is such that the epidemic state is predicted for a predetermined period in the future. Further, the information processing apparatus 10 is configured to predict the infection state for a predetermined period after the present time based on the public information disclosed in the area including the location of the company, the activity point of the company, and the like. As a result, the information processing apparatus 10 can distribute the predicted epidemic state of the infectious disease in the schedule information of the company or the area including the activity point of the company. In companies, etc., it will be possible to take appropriate preventive measures based on the predicted epidemic state of infectious diseases.

Further, in the present embodiment, the information processing device 10 is configured to deliver the schedule information generated to the delivery destination having a dedicated account. As a result, the employee who browses the delivered schedule information can visually recognize his / her own schedule on the display screen of the client terminal operated by himself / herself. Employees can plan a schedule that takes into consideration the prevention of infectious diseases based on the overlaid schedule information.

Further, in the present embodiment, the information processing apparatus 10 is configured to generate schedule information by designating a due date (start time, end time) for information on an epidemic of an infectious disease. By specifying the due date, for example, the date when the outbreak of the infectious disease is reported can be specified as the start time, and at least the period during which the infectious disease can be transmitted in the company can be set according to the type of the infectious disease. Further, the information processing device 10 is configured to switch (select) the delivery destination based on the degree of influence on the infectious disease set according to the type of the infectious disease. As a result, for example, for infectious diseases with a high degree of influence (high risk) such as measles, schedule information can be distributed to all departments of the company. In addition, for infectious diseases with a low degree of influence (low risk), it is possible to select a limited delivery destination according to the number of infected persons.

Further, in the present embodiment, the information processing apparatus 10 identifies an event having a relationship with another person in the past predetermined period from the schedule of the affected person, and generates schedule information for the other person as the delivery destination. It was configured to be. This makes it possible to specify another person suspected of having a secondary infection during the incubation period of the affected person and distribute the schedule information. In the present embodiment, it is possible to notify other employees who have come into contact during the incubation period of the affected person by including the possibility of infection in a message and to induce preventive measures.

<< Computer-readable recording medium >>
A program that enables an information processing device or other machine or device (hereinafter referred to as a computer or the like) to realize any of the above functions can be recorded on a recording medium that can be read by a computer or the like. Then, the function can be provided by causing a computer or the like to read and execute the program of this recording medium.

Here, a recording medium that can be read by a computer or the like is a recording medium that can store information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read from the computer or the like. To say. Among such recording media, those that can be removed from a computer or the like include, for example, a memory such as a flexible disk, a magneto-optical disk, a CD-ROM, a CD-R / W, a DVD, a Blu-ray disc, a DAT, an 8 mm tape, or a flash memory. There are cards etc. In addition, there are hard disks, ROMs, and the like as recording media fixed to computers and the like.

1 Information system 10 Information processing device 11 Processor 12 Main storage device 13 Auxiliary storage device 14 Communication IF
15 I / O IF
16 Connection bus 20 Information disclosure server 30 Organization information server 40 Scheduler (schedule management system)
101 Information acquisition unit 102 Epidemic level determination unit 103 Infection status prediction unit 104 Schedule information generation unit 105 Schedule information distribution unit 201 Regional information DB
202 Corporate Information DB
203 Employee information DB
204 Infection status DB
205 Infection prevention DB

Claims

Getting information about infectious disease epidemics and
To generate schedule information including the information for an organization including a plurality of users based on the information regarding the epidemic of the infectious disease.
Depending on the epidemic situation of the infectious disease, the group to which the user belongs in the organization is designated as the delivery destination, and the schedule information is delivered.
An information processing device including a control unit that executes the above.
The control unit
The number of people who have developed the infectious disease in the tissue, the immune information for each user against the infectious disease, the information about the tissue to which the person has the disease belongs, the position information about the range of action of the diseased person in the tissue, the tissue Based on at least one piece of public information published in connection with the infectious disease in the area including the activity point of the infectious disease, the epidemic state of the infectious disease in the organization or in the area is determined for a predetermined period in the future. To predict and
If there is a change in the epidemic state of the infectious disease within the predetermined period, the schedule information created by designating the date on which the change occurs or a period of multiple days including that date shall be distributed.
The information processing apparatus according to claim 1.
The control unit has an account for a dedicated distribution destination in the organization that can be commonly viewed by the user, and distributes the schedule information to the dedicated distribution destination to which the account is assigned. The information processing apparatus according to claim 1 or 2, further executed.
The information processing apparatus according to any one of claims 1 to 3, wherein the control unit further sets a start date and an end date in which the information regarding the epidemic of the infectious disease is scheduled in the schedule information. ..
The information processing device according to any one of claims 1 to 4, wherein the control unit further selects a delivery destination of the schedule information according to the degree of influence of the infectious disease on infection.
In the schedule registered for the onset person infected with the infectious disease, the control unit is scheduled to participate in the user other than the onset person within the schedule in the past predetermined period from the time when the onset is reported. Identifying the event
The information processing device according to any one of claims 1 to 5, further performing the identification of all the users who participated in the event.
The control unit
To generate schedule information containing information on infectious disease epidemics based on public information published in connection with the infectious disease in the area including the activity point of the organization.
Selecting the delivery destination of the generated schedule information and
The information processing apparatus according to any one of claims 1 to 6, further executing the above.
Getting information about infectious disease epidemics and
To generate schedule information including the information for an organization including a plurality of users based on the information regarding the epidemic of the infectious disease.
Depending on the epidemic situation of the infectious disease, the group to which the user belongs in the organization is designated as the delivery destination, and the schedule information is delivered.
Processing method including.
Getting information about infectious disease epidemics and
To generate schedule information including the information for an organization including a plurality of users based on the information regarding the epidemic of the infectious disease.
Depending on the epidemic situation of the infectious disease, the group to which the user belongs in the organization is designated as the delivery destination, and the schedule information is delivered.
A program that causes a computer to run.