JP2020154857A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To propose appropriate measures for infection to a user.SOLUTION: An information processing device comprises an acquisition unit, an estimation unit, and a proposal unit. The acquisition unit acquires movement information indicating future movement of a user and disease information on a disease and indicating an area in which the disease occurred. The estimation unit estimates a risk at which the user may be infected with a disease in an area serving as a movement destination of the user on the basis of the movement information and disease information acquired by the acquisition unit. The proposal unit proposes measures for the disease to the user according to the risk estimated by the estimation unit.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, a technique for grasping an epidemic of an infectious disease using search data on the Internet has been known. For example, a technique for predicting an influenza epidemic has been proposed based on the correlation between the frequency of use of a specific search query and the influenza epidemic.

“Detecting influenza epidemics using search engine query data” Jeremy Ginsberg, Matthew H. Mohebbi, Rajan S. Patel, Lynnette Brammer, Mark S. Smolinski & Larry Brilliant <Internet> http://static.googleusercontent.com/media/research. google.com/en/us/archive/papers/detecting-influenza-epidemics.pdf (searched on February 19, 2019)

However, the above-mentioned prior art cannot always propose appropriate countermeasures against infectious diseases.

For example, the above-mentioned prior art only predicts the influenza epidemic in each region and provides the user with the prediction result. For this reason, it is not always possible to propose countermeasures against infectious diseases to users who move to areas where infectious diseases may be endemic.

The present application has been made in view of the above, and an object of the present application is to provide an information processing device, an information processing method, and an information processing program capable of proposing an appropriate countermeasure against an infectious disease to a user.

The information processing apparatus according to the present application has a movement information indicating the future movement of the user, a disease information related to the disease, an acquisition unit for acquiring the disease information indicating the area where the disease occurs, and an acquisition unit acquired by the acquisition unit. Based on the movement information and the disease information, the estimation unit that estimates the risk of infection with the disease in the area to which the user travels, and the estimation unit estimates the risk to the user according to the disease. It is characterized by having a proposal department that proposes countermeasures against the disease.

According to one aspect of the embodiment, there is an effect that an appropriate countermeasure against an infectious disease can be proposed to the user.

FIG. 1 is a diagram showing an example of information processing according to an embodiment. FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 3 is a diagram showing a configuration example of the information processing device according to the embodiment. FIG. 4 is a diagram showing an example of the disease information storage unit according to the embodiment. FIG. 5 is a diagram showing an example of a mobile information storage unit according to the embodiment. FIG. 6 is a flowchart showing an example of the information processing procedure according to the embodiment. FIG. 7 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device.

Hereinafter, the information processing apparatus, the information processing method, and the mode for carrying out the information processing program (hereinafter referred to as “the embodiment”) according to the present application will be described in detail with reference to the drawings. Note that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

[1. Embodiment]
The information processing realized by the information processing apparatus and the like of the present embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of information processing according to an embodiment. In the example shown in FIG. 1, the information processing system 1 includes a terminal device 10 and an information processing device 100. The terminal device 10 and the information processing device 100 are communicably connected by wire or wirelessly via a predetermined communication network (not shown). The information processing system 1 shown in FIG. 1 may include a plurality of terminal devices 10 and a plurality of information processing devices 100.

The terminal device 10 shown in FIG. 1 is an information processing device used by a user. For example, the terminal device 10 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like. In the example shown in FIG. 1, the terminal device 10 is a smart device such as a smartphone or a tablet used by the user U1. Further, in the example shown in FIG. 1, it is assumed that the terminal device 10 has an output unit (hereinafter, may be referred to as a screen) such as a liquid crystal display, and a touch panel is adopted. That is, the user U1 performs various operations of the terminal device 10 by touching the display surface of the output unit with a finger or a dedicated pen.

Further, the terminal device 10 transmits the movement information indicating the future movement of the user U1 to the information processing device 100. For example, the terminal device 10 provides movement information based on the user's usage history on web pages such as a schedule management service, a route search service, a map providing service, a travel service, a restaurant introduction service, and a weather forecast service distributed by an external server device. Is transmitted to the information processing apparatus 100. Further, for example, the terminal device 10 transmits the movement information based on the usage history of the user U1 in various applications installed in the terminal device 10 (hereinafter, may be referred to as "application") to the information processing device 100. .. Specifically, the terminal device 10 processes the movement information based on the usage history of the user U1 in the schedule management application, the route search application, the map providing application, the travel application, the restaurant introduction application, the weather forecast application, etc. Send to. Further, for example, the terminal device 10 transmits movement information based on information detected by various sensors (for example, GPS (Global Positioning System) function, motion sensor, etc.) of the terminal device 10 to the information processing device 100.

In addition, the terminal device 10 displays countermeasure information regarding countermeasures for diseases proposed (distributed) by the information processing device 100 by a web browser or an application. Further, when the terminal device 10 receives the control information from the information processing device 100 that realizes the display processing of the information distributed by the information processing device 100, the terminal device 10 realizes the display processing according to the control information.

The information processing device 100 shown in FIG. 1 is a server device that proposes countermeasure information to a user who uses the terminal device 10. In the example of FIG. 1, the information processing apparatus 100 divides existing map information into areas of the same size (for example, a mesh having a side of 100 meters, 1 kilometer, etc.) based on latitude and longitude, and diseases in each area. The disease information related to is stored in the disease information storage unit. For example, in the example of FIG. 1, the information processing apparatus 100 has information indicating an area where a disease is currently occurring or an area where a disease will occur in the future, and a period during which the disease is prevalent (for example, epidemic). Disease information including the period of rising, the period of peak epidemic, the period of end of epidemic), the degree of epidemic, and information indicating the area to which people flow from the outbreak area is stored in the disease information storage unit. To do. The disease information may be generated by using a model that learns the correlation between the input status of the user's search query and the epidemic of the disease.

Further, in the example shown in FIG. 1, the information processing apparatus 100 includes time information indicating a date and time corresponding to the user, position information indicating a position where the user moves (for example, a departure place, an arrival place, a waypoint, etc.), and , The movement information including the information about the movement means is acquired from the terminal device 10 and stored in the movement information storage unit.

Hereinafter, the information processing performed by the information processing apparatus 100 will be described with reference to FIG. In the following description, it is assumed that the route search service has already been distributed from the external server device to the terminal device 10. Further, the map M1 shown in FIG. 1 schematically shows an area (areas AR1, AR2, AR4 and AR5) including a position where the user U1 moves, and an area around the area (areas AR3 and AR6). Further, in the map M1 shown in FIG. 1, the route searched by the user U1 in the route search service is represented by a solid line, and the other routes are represented by a dotted line.

First, the information processing device 100 acquires the movement information of the user U1 transmitted from the terminal device 10 (step S11). For example, in the example of FIG. 1, the information processing device 100 searches for a transfer guide from the departure point "station St1" to the arrival point "station St4" in the route search service displayed on the terminal device 10 (search result ( The time information, the position information, and the information about the moving means included in the screen W1) are acquired as the moving information of the user U1. Specifically, the information processing apparatus 100 has time information (departure date and time) "February 28, 20XX, 7:56", departure point "station St1", arrival point "station St4", waypoint "station St2". And "Station St3", and the means of transportation "train (A electric railway)" between these points are acquired as movement information.

Subsequently, the information processing device 100 acquires the disease information (step S12). For example, in the example of FIG. 1, the information processing apparatus 100 has information indicating an outbreak area where a disease occurs as of "February 28, 20XX" corresponding to the time information acquired in step S11, and information on the disease in the outbreak area. Information indicating the degree of epidemic and the area to which the inflow is made is acquired as disease information.

Subsequently, the information processing apparatus 100 estimates the risk of being infected with a disease (influenza in the example of FIG. 1) in the area where the user U1 is the destination (step S13). Here, in the example of FIG. 1, the risk level is an index indicating the possibility of the user being infected with the disease, and the higher the risk level, the higher the possibility of the user being infected with the disease. For example, in the example of FIG. 1, the information processing device 100 uses the moving speed of the user U1 in the area, the attribute information of the user U1 (susceptibility to infection of a disease, etc.), the infectivity of the disease, and the degree of epidemic of the disease. The degree of risk is calculated by a predetermined calculation method using the above factors as factors.

Subsequently, the information processing apparatus 100 proposes a countermeasure against the disease to the user U1 according to the estimated risk level (step S14). For example, in the example of FIG. 1, when at least one of the area AR2 including the waypoint “station St2” and the area AR5 including the arrival point “station St4” is the generation area, the information processing apparatus 100 , The degree of epidemic in the area of occurrence of the date and time corresponding to the time information included in the movement information (for example, the epidemic stage such as "rising of epidemic", "peak of epidemic", "end of epidemic", and " Estimate the degree of risk according to the scale of the epidemic such as "large-scale epidemic" or "small-scale epidemic"). Then, the information processing device 100 delivers information (information displayed on the screen W2 of the terminal device 10 shown in FIG. 1) regarding countermeasures for diseases according to the estimated risk level to the terminal device 10.

Further, for example, in the example of FIG. 1, when the area AR4 including the waypoint “station St3” is the occurrence area, the information processing apparatus 100 estimates the degree of risk according to the degree of epidemic of the disease in the area AR4. .. Then, when the estimated risk level satisfies a predetermined condition (for example, when the epidemic in area AR4 reaches its peak at the time of "February 28, 20XX" corresponding to the time information extracted from the movement information). The information processing device 100 provides information (information displayed on the screen W3 of the terminal device 10 shown in FIG. 1) that proposes a detour of the waypoint "station St3" (route between "station St3" and "station St4"). Deliver to terminal device 10. On the other hand, when the estimated risk level does not satisfy the predetermined condition, the information processing device 100 distributes information similar to the information displayed on the screen W2 (infection prevention method) to the terminal device 10.

Here, in the example of FIG. 1, when the user U1 agrees to detour the waypoint "Station St3" (when the "Yes" button selection operation of the screen W3 is performed), the information processing device 100 has a disease. Information indicating a new route via "station St5" included in area AR3 that does not occur (or has a lower risk than when moving to area AR4) is distributed to the terminal device 10. Further, in the example of FIG. 1, when the user U1 does not agree to the detour of the waypoint "Station St3" (when the "No" button selection operation of the screen W3 is performed), the information processing apparatus 100 displays the information processing device 100 on the screen W2. Information similar to the displayed information is distributed to the terminal device 10.

Further, for example, in the example of FIG. 1, the area AR6 including the “station St6” is the generation area, and the inflow status of the user from the “station St6” to the destination “station St4” of the user U1 is predetermined. (For example, when the number of users flowing from "Station St6" to "Station St4" is 10,000 or more, or when the number of users flowing from "Station St6" to "Station St4" is satisfied. The information processing apparatus 100 estimates the degree of risk according to the degree of epidemic of the disease in area AR6 (for example, when the ratio of persons is 10% or more). Then, when the estimated risk level satisfies the predetermined condition, the information processing device 100 has the waypoint "station St3" ("station St3") included in the movement route from "station St6" to "station St4". Information proposing a detour (route between "station St3" and "station St4") (information displayed on the screen W3 of the terminal device 10 shown in FIG. 1) is distributed to the terminal device 10.

The information processing device 100 may distribute the information displayed on the screen W2 or the screen W3 to the terminal device 10 at an arbitrary timing. For example, the information processing device 100 distributes information at the timing when the movement information is received from the terminal device 10. Further, for example, the information processing apparatus 100 distributes the information at the timing when the disease information is updated and the risk level changes. Further, for example, the information processing device 100 distributes information at the timing when the user U1 is predicted to enter the generation area by various sensors included in the terminal device 10.

Further, in the above-described embodiment, the information processing device 100 delivers information that proposes a detour of the occurrence area according to the occurrence area where the disease will occur in the future and the movement information indicating the future movement of the user U1. showed that. However, the embodiment of the information processing apparatus 100 is not limited to this. For example, the information processing apparatus 100 may set an area where a disease is currently occurring as an occurrence area and distribute information proposing a detour of the occurrence area. In addition, the information processing apparatus 100 may estimate the occurrence area after an arbitrary time has elapsed by using various known techniques for predicting the occurrence and transmission of various diseases.

As described above, the information processing apparatus 100 according to the embodiment estimates the risk of the user being infected with the disease in the destination area based on the user's movement information and the disease information. As a result, the information processing device 100 according to the embodiment can propose to the user a preventive method for a disease and a route to bypass according to the degree of risk. That is, the information processing device 100 according to the embodiment can propose an appropriate countermeasure against an infectious disease to the user.

[2. Information processing system configuration]
Next, the information processing system 1 for realizing the above-mentioned information processing will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. As shown in FIG. 2, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. The terminal device 10 and the information processing device 100 are connected to each other via a network N so as to be able to communicate with each other by wire or wirelessly. The network N is a communication network such as LAN (Local Area Network), WAN (Wide Area Network), telephone network (mobile telephone network, fixed telephone network, etc.), regional IP (Internet Protocol) network, and the Internet. The network N may include a wired network or may include a wireless network. Further, the information processing system 1 shown in FIG. 2 may include a plurality of terminal devices 10 and a plurality of information processing devices 100.

The terminal device 10 is an information processing device used by the user. The terminal device 10 displays the information provided by the information processing device 100 by a web browser or an application. Further, when the terminal device 10 receives the control information from the information processing device 100 that realizes the information display processing provided by the information processing device 100, the terminal device 10 realizes the display processing according to the control information. In addition, the terminal device 10 processes movement information based on the user's usage history on web pages such as a route search service, a map providing service, a travel service, a restaurant introduction service, and a weather forecast service distributed by an external server device. It is transmitted to the device 100. Further, the terminal device 10 transmits the movement information based on the usage history of the user U1 in various applications installed in the terminal device 10 to the information processing device 100.

The information processing device 100 is a server device that proposes (distributes) countermeasure information to a user who uses the terminal device 10. The information processing device 100 manages disease information related to the disease and mobile information transmitted from the terminal device 10. The information processing device 100 may be a server that distributes the data itself of the application that proposes countermeasure information. Further, the information processing device 100 may function as a distribution device that distributes control information to the terminal device 10. Here, the control information is described in, for example, a script language such as Javascript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). The application itself related to the content distributed from the information processing device 100 may be regarded as control information. The configuration of the information processing device 100 will be described later.

[3. Information processing device configuration]
Next, the configuration of the information processing apparatus 100 will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the information processing device according to the embodiment. As shown in FIG. 3, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(About communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the terminal device 10 and the like.

(About storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 3, the storage unit 120 includes a disease information storage unit 121 and a mobile information storage unit 122.

(About the disease information storage unit 121)
The disease information storage unit 121 stores disease information related to the disease. Here, an example of the disease information stored in the disease information storage unit 121 will be described with reference to FIG. FIG. 4 is a diagram showing an example of the disease information storage unit according to the embodiment. In the example of FIG. 4, the disease information storage unit 121 displays items such as "disease name", "attribute information", "occurrence area", "period", "degree of epidemic", "destination", and "means of transportation". Have.

"Disease name" indicates the name of the disease. "Attribute information" indicates the attributes of users who are easily infected with a disease or who are likely to become seriously infected when infected with a disease, such as gender information, age information, health condition information, and whether or not they are pregnant. Contains information about. The "occurrence area" indicates an area where the disease is currently occurring or an area where the disease will occur in the future. Although FIG. 4 shows an example in which conceptual information such as “AR11” is stored in the “occurrence area”, it may actually be information indicating latitude or longitude.

"Period" indicates the period during which the disease occurs. "Degree of epidemic" indicates the degree of epidemic of infection, for example, "rising of epidemic (the number of infected people is increasing)", "peak of epidemic", "end of epidemic (number of infected people is increasing)". Information indicating the stage of the epidemic such as "declining trend)" and information indicating the scale of the epidemic such as "large-scale epidemic" and "small-scale epidemic" are included.

The “destination” indicates an area in which the inflow status of people from the area stored in the “occurrence area” satisfies a predetermined condition. For example, an area where the number of inflows from the outbreak area "AR11" is 10,000 or 100,000 or more, or an area where the ratio of inflows from the outbreak area "AR11" to the total inflows is 10% or more. Shown. Although FIG. 4 shows an example in which conceptual information such as “AR12” is stored in the “destination”, it may actually be information indicating latitude or longitude. The "moving means" indicates a moving means from the area stored in the "occurrence area" to the area stored in the "destination".

That is, in FIG. 4, the attribute information "infants" and "elderly people" are set in the disease name "influenza", and the outbreak area "AR11" is set in the period of "2nd week of December 20XX to 2nd week of January 20XY". Influenza epidemic has reached the "rising of epidemic (large-scale epidemic)", the influx of people from the outbreak area "AR11" to "AR12" meets the prescribed conditions, and "AR11" from the outbreak area "AR11" An example is shown in which a "train (A electric railway)" is used to move to "AR12".

(About the mobile information storage unit 122)
The movement information storage unit 122 stores movement information indicating the future movement of the user. Here, an example of information regarding a query stored in the mobile information storage unit 122 will be described with reference to FIG. FIG. 5 is a diagram showing an example of a mobile information storage unit according to the embodiment. In the example of FIG. 5, the movement information storage unit 122 has items such as “user ID”, “attribute information”, and “movement information”.

The "user ID" indicates identification information for identifying the user. The "attribute information" indicates the attributes of the user, and includes information on gender, age, health status, and whether or not the user is pregnant. The "movement information" is information indicating the future movement of the user, and in the example of FIG. 5, it has items such as "date and time", "departure place", "arrival place", "waypoint", and "means of movement".

The "date and time" indicates time information regarding the time when the user moves. Although FIG. 5 shows an example in which conceptual information such as "DT1" is stored in "date and time", it may actually be information indicating a departure date and time or an arrival date and time. The "departure place" indicates the position information regarding the position where the user makes the departure place. The "arrival place" indicates the position information regarding the position to be the arrival place by the user. The "waypoint" indicates the location information regarding the location through which the user passes. Although FIG. 4 shows an example in which conceptual information such as "AR21" is stored in "departure point", "arrival place", and "waypoint", it is actually information indicating latitude and longitude. There may be. The "transportation means" indicates a transportation means used by the user to move from the "departure place" to the "arrival place".

That is, in FIG. 5, a user who is identified by the user ID "U1" and has the attribute information "male in his thirties" has the departure point "AR21", the arrival place "AR22", the waypoint "AR23" and the waypoint "AR23" at the date and time "DT1". An example of moving using the transportation means "train (A electric railway)" with "AR24" is shown.

(About control unit 130)
The control unit 130 is a controller, and for example, various programs stored in a storage device inside the information processing device 100 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like use a RAM as a work area. It is realized by executing as. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). As shown in FIG. 3, the control unit 130 according to the embodiment includes an acquisition unit 131, an estimation unit 132, and a proposal unit 133, and realizes or executes an information processing function or action described below.

(About acquisition unit 131)
The acquisition unit 131 acquires movement information indicating the future movement of the user and disease information related to the disease, which indicates the area where the disease occurs. For example, in the example of FIG. 1, the acquisition unit 131 is included in the search result in which the user U1 searches for the transfer guide from the departure point "station St1" to the arrival point "station St4" in the route search service displayed by the terminal device 10. The time information, the position information, and the information related to the moving means are acquired as the moving information of the user U1 and stored in the moving information storage unit 122. Then, the acquisition unit 131 acquires the disease information corresponding to the acquired movement information from the disease information storage unit 121. That is, the acquisition unit 131 acquires disease information indicating an area where the disease occurs after a predetermined period of time has elapsed.

The acquisition unit 131 is not limited to the route search service, but moves based on the usage history of various services, the usage history of the user in various applications installed in the terminal device 10, and the information detected by the various sensors of the terminal device 10. Information may be obtained. For example, the acquisition unit 131 searches for a route from the user's base (for example, home, commuting destination, school destination, etc.) to the position where the user has registered, searched, etc. in the map providing service (or map providing application). Then, the searched information may be acquired as movement information.

Further, for example, the acquisition unit 131 may search for a route based on the user's search history in the travel service (or travel application) or the travel schedule, and acquire the searched information as travel information. Further, for example, the acquisition unit 131 searches for a route based on the user's search history in the restaurant introduction service (or restaurant introduction application), the location of the planned facility, and the reservation date and time, and moves the searched information. May be obtained as. Further, for example, the acquisition unit 131 may search for a route based on the area to be searched by the user in the weather forecast service (or weather application) or the date and time of the search target, and acquire the searched information as movement information. Good. Further, for example, the acquisition unit 131 may search for a route based on the information registered by the user in the schedule management service (or the schedule management application), and may acquire the searched information as movement information.

In addition, the acquisition unit 131 may acquire disease information including a movement route of a person from the occurrence area to an area other than the occurrence area. For example, in the example of FIG. 1, the acquisition unit 131 has an inflow destination area “AR5” (“station St4”) from the generation area “AR6” (“station St6”), and “station St6” to “station St4”. The disease information including the information about the means of transportation to "" is acquired from the disease information storage unit 121.

In addition, the acquisition unit 131 may acquire disease information including information indicating the degree of epidemic of the disease in the outbreak area. For example, the acquisition unit 131 includes the stage of the epidemic in the outbreak area (eg, “rising of epidemic”, “peak of epidemic”, “end of epidemic”, etc.) and the scale of the epidemic (eg, “large-scale epidemic”). , "Small epidemic", etc.) is acquired from the disease information storage unit 121 as information indicating the degree of epidemic.

In addition, the acquisition unit 131 may acquire disease information based on the user's attribute information regarding age, gender, health condition, whether or not the patient is pregnant, or the presence or absence of an infant. For example, when there are a plurality of diseases that may be infected in the area to which the user moves, the acquisition unit 131 preferentially acquires disease information related to the disease that matches the attribute information of the user.

(About estimation unit 132)
The estimation unit 132 estimates the risk of being infected with a disease in the area to which the user moves, based on the movement information and the disease information acquired by the acquisition unit 131. For example, in the example of FIG. 1, the estimation unit 132 includes time information, location information, and movement information including information on transportation means included in the search result (screen W1) searched by the user U1 in the route search service, and a disease. The degree of risk is estimated based on the information indicating the outbreak area, the degree of epidemic of the disease in the outbreak area, and the disease information including the inflow destination information. That is, the estimation unit 132 is a movement destination of the user indicated by the movement information, and based on the movement destination of the user when a predetermined period elapses and the disease information, the user becomes a disease in the area to which the user moves. Estimate the risk of infection.

In addition, the estimation unit 132 may estimate the degree of risk according to the presence or absence of movement to the generation area based on the movement information. For example, in the example of FIG. 1, the estimation unit 132 estimates the degree of risk depending on whether or not the destination areas AR2, AR4, and AR5 are generation areas. Further, for example, the estimation unit 132 estimates the risk level higher as the number of times the user moves to the generation area increases.

Further, the estimation unit 132 may estimate the degree of danger according to the staying time of the user in the generation area based on the movement information. For example, the estimation unit 132 calculates the risk level higher as the staying time at the waypoint or destination, which is the occurrence area, is longer.

Further, the estimation unit 132 may estimate the degree of risk depending on whether or not the movement information includes the movement route. For example, in the example of FIG. 1, when "station St6" is included in the generation area and the inflow status of the user from "station St6" to the destination "station St4" of the user U1 satisfies a predetermined condition. The estimation unit 132 estimates the degree of danger according to whether or not the movement route from "station St6" to "station St4" is included in the movement information of the user U1.

In addition, the estimation unit 132 may estimate the degree of risk according to the degree of epidemic of the disease. For example, in the example of FIG. 1, the estimation unit 132 determines the degree of epidemic of the disease in the occurrence area of the date and time corresponding to the time information included in the movement information (for example, “rising epidemic”, “peak of epidemic”, “epidemic”. The degree of risk is estimated according to the stage of the epidemic such as "the end of the epidemic" and the scale of the epidemic such as "large-scale epidemic" and "small-scale epidemic").

In addition, the estimation unit 132 may estimate the degree of risk according to the time elapsed since the outbreak area shifts to each epidemic stage. For example, when the estimation unit 132 corresponds to the latter half of the “epidemic rise” stage of the generation area (for example, the time elapsed after shifting to the “epidemic rise” stage is 2 weeks or more), Calculate the risk higher than when the time information corresponds to the first half of the "epidemic rise" stage of the outbreak area (for example, the time elapsed after shifting to the "epidemic rise" stage is less than 2 weeks). .. Further, for example, the estimation unit 132 corresponds to the first half of the “end of epidemic” stage of the time information occurrence area (for example, the time elapsed after shifting to the “end of epidemic” stage is less than 2 weeks). In this case, the risk is higher than when the time information corresponds to the latter half of the “end of epidemic” stage of the outbreak area (for example, the time elapsed after shifting to the “end of epidemic” stage is 2 weeks or more). calculate.

(About Proposal Department 133)
The proposal unit 133 proposes a countermeasure against the disease to the user according to the degree of risk estimated by the estimation unit 132. For example, the proposal unit 133 proposes a countermeasure against a disease to a user by distributing information on a preventive method against infection of the disease to the terminal device 10 according to the degree of risk.

In addition, when the movement information includes movement to the generation area, the proposal unit 133 may propose a route that bypasses the generation area according to the degree of danger. For example, in the example of FIG. 1, when the degree of risk satisfies a predetermined condition (for example, at the time of "February 28, 20XX" corresponding to the time information extracted from the movement information, the epidemic in the area AR4 peaks. (When welcoming), the proposal unit 133 displays information (on the screen W3 of the terminal device 10 shown in FIG. 1) that proposes a detour for the waypoint "station St3" (route between "station St3" and "station St4"). Information) is delivered to the terminal device 10. Then, when the user U1 agrees to detour the waypoint "Station St3" (when the "Yes" button selection operation on the screen W3 is performed), the proposal unit 133 does not cause any disease (or goes to the area AR4). Information indicating a new route via "station St5" included in the area AR3 (which is less dangerous than when moving) is distributed to the terminal device 10.

The proposal unit 133 may propose different means of transportation depending on the degree of risk. For example, in the example of FIG. 1, the proposal unit 133 proposes a means of transportation (for example, a taxi) that does not use public transportation in the route between "station St3" and "station St4".

Further, the proposal unit 133 may propose a route that bypasses the movement route according to the degree of danger. For example, in the example of FIG. 1, the area AR6 including the “station St6” is the generation area, and the inflow status of the user from the “station St6” to the destination “station St4” of the user U1 is a predetermined condition. If the condition is satisfied, the proposal unit 133 determines the waypoints "station St3" ("station St3" and "station St4") included in the movement route from "station St6" to "station St4" according to the degree of danger of the area AR6. Information proposing a detour (route between) (information displayed on the screen W3 of the terminal device 10 shown in FIG. 1) is delivered to the terminal device 10.

Further, the proposal unit 133 may propose the use of a moving means different from the moving means used in the moving route according to the degree of risk. For example, in the example of FIG. 1, when the most used means of transportation in the movement route from "station St6" to "station St4" is a train, the proposal unit 133 determines the route between "station St3" and "station St4". Information on transportation means other than trains (for example, buses, taxis, etc.) in the above is delivered to the terminal device 10.

In addition, the proposal unit 133 takes measures against the disease according to the period from the timing of proposing the measures against the disease to the time when the user takes an action corresponding to the movement information (hereinafter, may be referred to as "grace period"). You may make a suggestion. For example, if the grace period is greater than or equal to a predetermined threshold (eg, 2 weeks, 1 month), Proposal Department 133 proposes postponement of actions corresponding to mobility information or vaccination. Further, for example, when the grace period is equal to or less than a predetermined threshold value (for example, 3 days, 1 week), the Proposal Department 133 proposes a preventive method (for example, hand-washing gargle, wearing a mask, etc.) that can be performed in a short period of time. To do.

In addition, when the destination of the user's movement in the movement information is included in the occurrence area, the proposal unit 133 is a facility corresponding to the destination according to the degree of risk and is included in another area different from the occurrence area. You may propose a visit to. For example, when a public facility to which the user moves (for example, a movie theater, a restaurant, etc.) is included in the occurrence area, the proposal unit 133 is included in another area according to the degree of risk, and the public facility to which the user moves is included. Propose a visit to the corresponding facility.

If the route to the public facility at the destination is the route used when people flow in from the outbreak area to another area, the proposal unit 133 is a facility corresponding to the public facility at the destination. You may also propose a visit to a facility where you can travel without using the route.

In addition, the proposal unit 133 may further provide information indicating whether or not the user can visit the destination in the movement information according to the degree of risk. For example, a facility (for example, a medical institution, a welfare facility, an educational facility, etc.) that is expected to be used by a user who is easily infected with a disease or is likely to become serious when infected with a disease is the destination of the user. In some cases, the proposal unit 133 provides information indicating whether or not the user can visit the facility according to the degree of risk.

[4. Information processing flow]
Here, the procedure of the provision processing of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing an example of the information processing procedure according to the embodiment.

As shown in FIG. 6, the information processing apparatus 100 acquires movement information and disease information (step S101). For example, in the example of FIG. 1, the information processing device 100 acquires the information included in the search result searched by the user U1 in the route search service displayed on the terminal device 10 as the movement information of the user U1. In addition, the information processing device 100 provides information indicating an area where the disease occurs at the time corresponding to the time information included in the movement information, the degree of epidemic of the disease in the area where the disease occurs, and information indicating the area where the disease flows. Obtained as disease information.

Subsequently, the information processing device 100 estimates the risk of being infected with a disease in the area to which the user moves based on the movement information and the disease information (step S102). Subsequently, the information processing apparatus 100 proposes a countermeasure against the disease to the user according to the estimated risk level (step S103), and ends the process. For example, in the example of FIG. 1, the information processing apparatus 100 proposes a preventive method for a disease and a route that bypasses the outbreak area.

[5. Modification example]
The above-described embodiment shows an example, and various modifications and applications are possible.

[5-1. About the disease]
In the above-described embodiment, an example is shown in which the information processing device 100 estimates the risk of being infected with an infectious disease such as influenza or measles and proposes countermeasures, but the function of the information processing device 100 has such a configuration. Not limited to. For example, the information processing apparatus 100 may estimate the degree of risk for a disease that develops in a specific area such as a pollution disease, endemic disease, or parasitic disease, and propose a countermeasure. Further, for example, the information processing apparatus 100 determines the risk of developing or aggravating diseases caused by allergens such as pollinosis, asthma, and atopic dermatitis based on the information on the user's allergic constitution. You may estimate and propose countermeasures. Further, for example, the information processing apparatus 100 may estimate the risk of developing a disease according to the user's chronic disease such as leukemia or acquired immunodeficiency syndrome, and propose a countermeasure.

[5-2. About the user's companion]
In the above-described embodiment, an example is shown in which the information processing device 100 proposes a countermeasure against a disease to a user who uses the terminal device 10 which is a source of mobile information, but the function of the information processing device 100 has such a configuration. Not limited. For example, the information processing device 100 estimates a user's companion (for example, an infant, an elderly person, etc.) based on the user's demographic attributes and the like, and proposes countermeasures according to the risk of the companion being infected with a disease. You may.

[6. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes an acquisition unit 131, an estimation unit 132, and a proposal unit 133. The acquisition unit 131 acquires movement information indicating the future movement of the user and disease information related to the disease, which indicates the area where the disease occurs. The estimation unit 132 estimates the risk of being infected with a disease in the area to which the user moves, based on the movement information and the disease information acquired by the acquisition unit 131. The proposal unit 133 proposes a countermeasure against the disease to the user according to the degree of risk estimated by the estimation unit 132.

As a result, the information processing device 100 according to the embodiment proposes countermeasures according to the risk of the user being infected with the disease, so that the user can be proposed an appropriate countermeasure against the infectious disease.

Further, in the information processing apparatus 100 according to the embodiment, for example, the estimation unit 132 estimates the degree of risk according to the presence or absence of movement to the generation area based on the movement information. In addition, the estimation unit 132 estimates the degree of risk according to the staying time of the user in the generation area based on the movement information.

As a result, the information processing device 100 according to the embodiment estimates the degree of risk according to the destination of the user's movement, so that the user can be proposed an appropriate countermeasure against an infectious disease.

Further, in the information processing apparatus 100 according to the embodiment, for example, when the movement information includes movement to the generation area, the proposal unit 133 proposes a route that bypasses the generation area according to the degree of danger.

As a result, the information processing device 100 according to the embodiment improves convenience because the user can omit the operation of searching for the route to be bypassed by proposing the route to bypass the occurrence area as a countermeasure against the disease. it can.

Further, in the information processing apparatus 100 according to the embodiment, for example, the acquisition unit 131 acquires disease information including a movement route of a person from the occurrence area to an area other than the occurrence area. Then, the estimation unit 132 estimates the degree of risk according to whether or not the movement information includes the movement route. Then, the proposal unit 133 proposes a route that bypasses the movement route according to the degree of danger. In addition, the proposal unit 133 proposes the use of a moving means different from the moving means used in the moving route according to the degree of risk.

As a result, the information processing device 100 according to the embodiment estimates the degree of risk in the movement route and proposes a route different from the movement route, so that it is possible to propose an appropriate countermeasure against an infectious disease to the user.

Further, in the information processing apparatus 100 according to the embodiment, for example, the acquisition unit 131 acquires disease information including information indicating the degree of epidemic of the disease in the outbreak area. In addition, the estimation unit 132 estimates the degree of risk according to the degree of epidemic of the disease.

As a result, the information processing device 100 according to the embodiment acquires the degree of epidemic of the disease and estimates the degree of risk, so that it is possible to propose an appropriate countermeasure against the infectious disease to the user.

Further, in the information processing device 100 according to the embodiment, for example, the proposal unit 133 proposes a countermeasure for a disease according to a period from the timing of proposing a countermeasure for the disease to the time when the user takes an action corresponding to the movement information. ..

As a result, the information processing device 100 according to the embodiment can propose countermeasures according to the period until the action corresponding to the movement information is performed, so that it is possible to propose appropriate countermeasures against the infectious disease to the user.

Further, in the information processing device 100 according to the embodiment, for example, the proposal unit 133 is a facility corresponding to the movement destination according to the degree of danger when the movement destination of the user in the movement information is included in the generation area. Propose visits to facilities included in other areas than the outbreak area.

As a result, the information processing device 100 according to the embodiment can improve convenience because the user's operation of searching for a facility having a lower risk can be omitted.

Further, in the information processing device 100 according to the embodiment, for example, the acquisition unit 131 acquires disease information based on the user's attribute information regarding age, gender, health condition, whether or not pregnant, or the presence or absence of infants. To do.

As a result, the information processing device 100 according to the embodiment can estimate the degree of risk according to the attributes of the user, and thus can propose an appropriate countermeasure against the infectious disease to the user.

Further, in the information processing apparatus 100 according to the embodiment, for example, the proposal unit 133 further provides information indicating whether or not the user can visit the destination in the movement information according to the degree of risk.

As a result, the information processing device 100 according to the embodiment provides information indicating whether or not the user can visit the destination, so that the spread of infection at the destination can be prevented.

Further, in the information processing apparatus 100 according to the embodiment, for example, the acquisition unit 131 acquires disease information indicating a disease occurrence area in which a disease occurs after a predetermined period has elapsed. Then, the estimation unit 132 is a movement destination of the user indicated by the movement information, and based on the movement destination of the user when a predetermined period elapses and the disease information, the user becomes a disease in the area to which the user moves. Estimate the risk of infection.

As a result, the information processing device 100 according to the embodiment can improve the convenience because the risk of the user being infected with the disease at the destination can be estimated based on the area where the disease will occur in the future.

[7. Hardware configuration]
Further, the information processing apparatus according to each of the above-described embodiments is realized by, for example, a computer 1000 having a configuration as shown in FIG. 7. Hereinafter, the information processing device 100 will be described as an example. FIG. 7 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program that depends on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via the communication network 500 (corresponding to the network N of the embodiment) and sends the data to the CPU 1100, and the data generated by the CPU 1100 via the communication network 500 is transmitted to another device. Send to the device.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the data generated via the input / output interface 1600 to the output device.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the information processing device 100, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the RAM 1200. Further, each data in the storage device of the information processing device 100 is stored in the HDD 1400. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be acquired from another device via a predetermined communication network.

[8. Others]
Although some of the embodiments of the present application have been described in detail with reference to the drawings, these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to carry out the present invention in other improved forms.

Further, the configuration of the information processing device 100 described above can be flexibly changed, such as by calling an external platform or the like by API (Application Programming Interface), network computing, or the like depending on the function.

In addition, the "part" described in the claims can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

10 Terminal equipment 100 Information processing device 110 Communication unit 120 Storage unit 121 Disease information storage unit 122 Mobile information storage unit 130 Control unit 131 Acquisition unit 132 Estimate unit 133 Proposal unit

Claims (15)

A movement information indicating the future movement of the user, a disease information related to the disease, and an acquisition unit for acquiring the disease information indicating the area where the disease occurs.
Based on the movement information and disease information acquired by the acquisition unit, an estimation unit that estimates the risk of infection with the disease in the area to which the user travels, and an estimation unit.
An information processing device including a proposal unit that proposes countermeasures for the disease to the user according to the degree of risk estimated by the estimation unit. The estimation unit
The information processing device according to claim 1, wherein the risk level is estimated according to the presence or absence of movement to the generation area based on the movement information. The estimation unit
The information processing device according to claim 1 or 2, wherein the risk level is estimated according to the staying time of the user in the generation area based on the movement information. The proposal section
The information according to any one of claims 1 to 3, wherein when the movement information includes movement to the generation area, a route bypassing the generation area is proposed according to the degree of risk. Processing equipment. The acquisition unit
The disease information including the movement route of a person from the outbreak area to an area other than the outbreak area is acquired, and the disease information is acquired.
The estimation unit
The information processing apparatus according to any one of claims 1 to 4, wherein the degree of risk is estimated according to whether or not the movement information includes the movement route. The proposal section
The information processing apparatus according to claim 5, wherein a route that bypasses the movement route is proposed according to the degree of risk. The proposal section
The information processing device according to claim 5 or 6, wherein the information processing apparatus is proposed to use a moving means different from the moving means used in the moving route according to the degree of risk. The acquisition unit
Acquiring the disease information including information indicating the degree of epidemic of the disease in the outbreak area,
The estimation unit
The information processing device according to any one of claims 1 to 7, wherein the degree of risk is estimated according to the degree of epidemic of the disease. The proposal section
Any one of claims 1 to 8, characterized in that the countermeasure for the disease is proposed according to the period from the timing of proposing the countermeasure for the disease to the time when the user takes an action corresponding to the movement information. The information processing device described in. The proposal section
When the movement destination of the user in the movement information is included in the occurrence area, the facility corresponding to the movement destination and included in another area different from the occurrence area is selected according to the degree of risk. The information processing apparatus according to any one of claims 1 to 9, wherein the information processing apparatus is characterized in that the visit is proposed. The acquisition unit
One of claims 1 to 10, wherein the disease information is acquired based on the attribute information of the user regarding age, gender, health condition, whether or not she is pregnant, or whether or not she has an infant. The information processing device described. The proposal section
The information processing device according to any one of claims 1 to 11, further providing information indicating whether or not the user can visit the destination of the movement in the movement information according to the degree of risk. The acquisition unit
The disease information indicating the area where the disease occurs after a predetermined period has elapsed is acquired, and the disease information is acquired.
The estimation unit
Based on the movement destination of the user indicated by the movement information, the movement destination of the user when the predetermined period elapses, and the disease information, the disease occurs in the area where the user is the movement destination. The information processing apparatus according to any one of claims 1 to 12, wherein the risk of infection is estimated. Information processing method executed by a computer
A movement information indicating the future movement of the user, a disease information related to the disease, and an acquisition process for acquiring the disease information indicating the area where the disease occurs.
Based on the movement information and disease information acquired by the acquisition step, an estimation step of estimating the risk of infection with the disease in the area to which the user moves, and an estimation step.
An information processing method comprising a proposal process of proposing a countermeasure for the disease to the user according to the degree of risk estimated by the estimation process. Movement information indicating the future movement of the user, disease information related to the disease, and an acquisition procedure for acquiring the disease information indicating the area where the disease occurs, and
Based on the movement information and disease information acquired by the acquisition procedure, an estimation procedure for estimating the risk of infection with the disease in the area to which the user travels, and an estimation procedure.
An information processing program characterized in that a computer is made to execute a proposal procedure for proposing a countermeasure for the disease to the user according to the degree of risk estimated by the estimation procedure.

Images