WO2023002532A1

WO2023002532A1 - Infection risk assessment system, non-transitory computer readable medium, and infection risk assessment method

Info

Publication number: WO2023002532A1
Application number: PCT/JP2021/026989
Authority: WO
Inventors: 啓大原; 佳央植田
Original assignee: 日本電気株式会社
Priority date: 2021-07-19
Filing date: 2021-07-19
Publication date: 2023-01-26

Abstract

An infection risk assessment device (2000) acquires air quality information (20) indicating the quality of air in a target region (10), density information (30) indicating the density of people in the target region (10), and reference information (40) indicating a reference concerning the quality of air and the density of people. The infection risk assessment device (2000) compares, with the reference indicated by the reference information (40), the quality of air in the target region (10) indicated by the air quality information (20) and the density of people in the target region (10) indicated by the density information (30). Then, the infection risk assessment device (2000) generates, on the basis of the comparison result, infection risk information (50) concerning an infection risk of an infectious disease in the target region (10).

Description

Infection risk assessment system, non-transitory computer readable medium, and infection risk assessment method

This disclosure relates to technology for understanding the risk of infection.

Technologies are being developed to reduce the risk of infectious diseases. Patent Literature 1 discloses a technique for reducing the carbon dioxide concentration in a space by operating a blower mechanism when the carbon dioxide concentration in the space is higher than a predetermined reference concentration. Patent Literature 2 discloses a technique for prompting ventilation by displaying the carbon dioxide concentration in an indoor space.

JP 2019-184082 A Utility Model Registration No. 3230532

　The high risk of infection does not depend only on the carbon dioxide concentration. However, Patent Documents 1 and 2 do not refer to factors other than the carbon dioxide concentration. The present disclosure has been made in view of this problem, and an object thereof is to provide a technique capable of ascertaining the risk of infection with higher accuracy than when focusing only on the carbon dioxide concentration.

The infection risk assessment system of the present disclosure includes air quality information representing the air quality within a target area, density information representing the density of people within the target area, and infection risk criteria for determining that the risk of infection is high. An acquisition unit that acquires reference information indicating air quality and density of people, and an infection that is information about the risk of infection of an infectious disease in the target area based on the air quality information, the density information, and the reference information. and a generator for generating risk information.

A non-transitory computer-readable medium of the present disclosure stores a program. The program provides a computer with air quality information indicating the air quality in the target area, density information indicating the density of people in the target area, and infection risk criteria for determining that the risk of infection is high. an obtaining step of obtaining reference information indicating quality and density of people; and infection risk information, which is information about infection risk of an infectious disease in the target area, based on the air quality information, the density information, and the reference information. and a generating step that generates a .

In the infection risk assessment method of the present disclosure, a computer uses air quality information indicating the quality of air in a target area, density information indicating the density of people in the target area, and infection risk information for determining that the risk of infection is high. obtaining baseline information indicative of risk criteria for air quality and density of people; and information about the risk of infectious disease transmission in the area of interest based on the air quality information, the density information, and the baseline information. and a generation step of generating infection risk information that is

According to the present disclosure, a technique is provided that allows the level of infection risk to be grasped with higher accuracy than when focusing only on the carbon dioxide concentration.

4 is a diagram exemplifying an overview of the operation of the infection risk evaluation device of Embodiment 1; FIG. 2 is a block diagram illustrating the functional configuration of the infection risk evaluation device of Embodiment 1; FIG. 1 is a block diagram illustrating the hardware configuration of a computer that implements an infection risk evaluation device; FIG. 4 is a flowchart illustrating the flow of processing executed by the infection risk evaluation device of Embodiment 1; FIG. 4 is a first diagram illustrating infection risk information; FIG. 11 is a second diagram illustrating infection risk information;

Below, embodiments of the present disclosure will be described in detail with reference to the drawings. In each drawing, the same reference numerals are given to the same or corresponding elements, and redundant description will be omitted as necessary for clarity of description. Further, unless otherwise described, predetermined values such as predetermined values and reference values are stored in advance in an arbitrary storage unit in a manner accessible from a device that uses the values. Note that these values can be updated at any timing. Further, unless otherwise specified, the storage unit is composed of one or more arbitrary number of storage devices.

[Embodiment 1]
<Overview>
FIG. 1 is a diagram illustrating an overview of the operation of the infection risk assessment device 2000 of Embodiment 1. FIG. Here, FIG. 1 is a diagram for facilitating understanding of the outline of the infection risk assessment device 2000, and the operation of the infection risk assessment device 2000 is not limited to that shown in FIG.

The infection risk assessment device 2000 generates infection risk information 50 for the target area 10 . The infection risk assessment device 2000 can also be expressed as an infection risk assessment system. The infection risk information 50 is information about the infection risk of an infectious disease, and indicates, for example, that the target area 10 has a high infection risk. The target area 10 is an arbitrary place for which the infection risk information 50 is generated. For example, the target area 10 is part or all of a facility to be monitored. Note that the target region 10 may be a space partitioned from the outside by a wall, a door, or the like, or may be a space not partitioned from the outside (outdoor, part of the indoor, etc.). A plurality of areas treated as the target area 10 may exist. For example, one facility is divided into a plurality of areas, and each area is treated as the target area 10 .

The infection risk assessment device 2000 generates infection risk information 50 by comparing the air quality (hereinafter referred to as air quality) and the density of people in the target area 10 with the reference. Therefore, the infection risk assessment device 2000 acquires the air quality information 20 that is information about the air quality of the target area 10 . Here, the air quality of the target area 10 is represented by, for example, the concentration of a specific substance (for example, carbon dioxide) contained in the air of the target area 10 .

In addition, the infection risk assessment device 2000 acquires density information 30 indicating the density of people in the target area 10. The density of people in the target area 10 can also be expressed as the degree of crowding or the degree of congestion in the target area 10 . Hereinafter, a person in the target area 10 is also referred to as a person 60 . It should be noted that in FIG. 1, only one person, not all persons, in the target area 10 is labeled 50 for easy viewing of the figure.

Furthermore, the infection risk assessment device 2000 acquires the reference information 40. The reference information 40 indicates the reference (hereinafter referred to as infection risk reference) for determining that the risk of infection is high for each of air quality and density of people. For example, if the carbon dioxide concentration is 1,000 [ppm] or higher and the human density is 0.4 [person/m^2] or higher, it is determined that the risk of infection is high. In this case, the reference information 40 indicates "1,000 [ppm] or more" as the air quality infection risk standard, and indicates "0.4 [person/m^2] or more" as the human density infection risk standard. Note that ppm is an abbreviation for parts per million.

The infection risk assessment device 2000 compares the air quality and human density in the target area 10 with the infection risk criteria indicated by the reference information 40 . The infection risk assessment device 2000 then generates infection risk information 50 based on the result of this comparison. For example, as described later, the infection risk assessment device 2000 determines that the infection risk in the target area 10 is determined when both the air quality and the human density in the target area 10 satisfy the infection risk criteria indicated by the reference information 40 Infection risk information 50 representing high is generated. For example, in the example of the infection risk criteria described above, if the carbon dioxide concentration is 1,000 [ppm] or more and the human density is 0.4 [person/m^2] or more, the infection risk is high. Risk information 50 is generated.

<Example of action and effect>
According to the infection risk assessment device 2000 of the present embodiment, by comparing the air quality and the density of people in the target area 10 with the infection risk criteria indicated by the reference information 40, Risk information 50 is generated. Here, in Patent Literature 1, information is presented that enables grasping of the carbon dioxide concentration in order to prevent the spread of infection. However, the high carbon dioxide concentration in the target area 10 does not necessarily mean that the risk of infection in the target area 10 is high. For example, if there are few people in the target area 10, even if the carbon dioxide concentration in the target area 10 is high, the infection risk in the target area 10 is not considered to be very high.

In this regard, the infection risk assessment device 2000 generates information on infection risk by considering not only the air quality of the target area 10 but also the density of people in the target area 10 . Therefore, by using the infection risk assessment apparatus 2000, the infection risk in the target area 10 can be grasped with higher accuracy than when focusing only on the carbon dioxide concentration.

The infection risk assessment device 2000 of this embodiment will be described in more detail below.

<Example of functional configuration>
FIG. 2 is a block diagram illustrating the functional configuration of the infection risk assessment device 2000 of Embodiment 1. As shown in FIG. Infection risk assessment device 2000 has acquisition section 2020 and generation section 2040 . Acquisition unit 2020 acquires air quality information 20 , density information 30 , and reference information 40 . The generation unit 2040 compares the air quality and population density in the target area 10 with the infection risk criteria indicated by the reference information 40 and generates the infection risk information 50 based on the results of the comparison.

<Example of hardware configuration>
Each functional component of the infection risk assessment apparatus 2000 may be implemented by hardware (eg, hardwired electronic circuit) that implements each functional component, or may be implemented by a combination of hardware and software (eg, : a combination of an electronic circuit and a program that controls it, etc.). A case where each functional component of the infection risk assessment device 2000 is implemented by a combination of hardware and software will be further described below.

FIG. 3 is a block diagram illustrating the hardware configuration of the computer 500 that implements the infection risk assessment device 2000. As shown in FIG. Computer 500 is any computer. For example, the computer 500 is a stationary computer such as a PC (Personal Computer) or a server machine. In addition, for example, the computer 500 is a portable computer such as a smart phone or a tablet terminal. Computer 500 may be a dedicated computer designed to realize infection risk assessment apparatus 2000, or may be a general-purpose computer.

For example, by installing a predetermined application on the computer 500, each function of the infection risk assessment device 2000 is implemented on the computer 500. The application is composed of a program for realizing each functional component of the infection risk assessment device 2000 . It should be noted that the acquisition method of the above program is arbitrary. For example, the program can be acquired from a storage medium (DVD disc, USB memory, etc.) in which the program is stored. In addition, for example, the program can be obtained by downloading the program from a server device that manages the storage device in which the program is stored.

Computer 500 has bus 502 , processor 504 , memory 506 , storage device 508 , input/output interface 510 and network interface 512 . The bus 502 is a data transmission path through which the processor 504, memory 506, storage device 508, input/output interface 510, and network interface 512 exchange data with each other. However, the method of connecting the processors 504 and the like to each other is not limited to bus connection.

The processor 504 is various processors such as a CPU (Central Processing Unit), GPU (Graphics Processing Unit), or FPGA (Field-Programmable Gate Array). The memory 506 is a main memory implemented using a RAM (Random Access Memory) or the like. The storage device 508 is an auxiliary storage device implemented using a hard disk, SSD (Solid State Drive), memory card, ROM (Read Only Memory), or the like.

The input/output interface 510 is an interface for connecting the computer 500 and input/output devices. For example, the input/output interface 510 is connected to an input device such as a keyboard and an output device such as a display device.

A network interface 512 is an interface for connecting the computer 500 to a network. This network may be a LAN (Local Area Network) or a WAN (Wide Area Network).

The storage device 508 stores a program that implements each functional component of the infection risk assessment device 2000 (a program that implements the application described above). Processor 504 implements each functional component of infection risk assessment apparatus 2000 by reading this program into memory 506 and executing it.

The infection risk assessment device 2000 may be realized by one computer 500 or may be realized by a plurality of computers 500. In the latter case, the configuration of each computer 500 need not be the same, and can be different.

For example, the infection risk assessment device 2000 is realized by a terminal owned by a person (hereinafter referred to as a user terminal). In this case, for example, the user terminal that implements the infection risk assessment device 2000 displays the infection risk information 50 on its own display device. User terminals are, for example, smart phones, tablet terminals, smart watches (watch-type devices), or smart glasses (glasses-type devices).

In addition, for example, the infection risk assessment device 2000 may be implemented as a server device that provides information to one or more terminals. In this case, for example, the infection risk assessment device 2000 outputs the infection risk information 50 to a display device provided in the target area 10 or provides the infection risk information 50 to the user terminal.

<Process flow>
FIG. 4 is a flowchart illustrating the flow of processing executed by the infection risk assessment device 2000 of the first embodiment. The acquisition unit 2020 acquires the air quality information 20 (S102). The acquisition unit 2020 acquires the density information 30 (S104). The acquisition unit 2020 acquires the reference information 40 (S106). The generation unit 2040 generates the infection risk information 50 (S108). However, the flow of processing shown in FIG. 4 is merely an example, and the processing does not necessarily have to be performed in the order shown in FIG. For example, the acquisition of the air quality information 20 and the acquisition of the reference information 40 may be performed in the reverse order to that shown in FIG. 4, or may be performed in parallel.

There are various opportunities for generating the infection risk information 50 by performing the above series of processes. For example, the infection risk assessment device 2000 generates infection risk information 50 on a regular basis. Alternatively, for example, the infection risk assessment device 2000 may generate the infection risk information 50 in response to occurrence of a predetermined event.

When the infection risk assessment device 2000 is implemented in a user terminal, for example, the predetermined event is an event that "predetermined user operation has been performed". When the infection risk assessment device 2000 is realized by a server device, for example, the predetermined event is an event of "receiving a request to generate the infection risk information 50". More specifically, when the infection risk assessment apparatus 2000 receives a request to provide the infection risk information 50 from any terminal, it generates the infection risk information 50 in response to the request. Then, the infection risk evaluation apparatus 2000 transmits the infection risk information 50 to the terminal that sent the request.

<Acquisition of air quality information 20: S102>
The acquisition unit 2020 acquires the air quality information 20 (S102). The air quality information 20 is information representing the air quality of the target area 10 . For example, as described above, the air quality information 20 indicates the concentration of specific substances in the air of the target area 10 . In this case, the air quality information 20 is generated based on measurements of sensors that measure the concentration of specific substances in the air. This sensor is hereinafter referred to as an air quality sensor. For example, if the specific substance is carbon dioxide, the air quality sensor is a carbon dioxide concentration sensor. In addition, when a plurality of target regions 10 exist, it is preferable that the air quality information 20 further includes identification information of the target regions 10 .

For example, for the air quality information 20, the air quality information 20 indicating the measured values of the air quality sensors present in the target area 10 is obtained. Here, a plurality of air quality sensors may exist in the target area 10 . In this case, for example, the acquiring unit 2020 acquires the air quality information 20 indicating the measured value of each air quality sensor. In addition, for example, the acquisition unit 2020 collects a set of measured values of each of a plurality of air quality sensors and statistic values (average value, median value, maximum value, minimum value, etc.) of these measured values. Air quality information indicating 20 may be obtained. In this case, for example, an arbitrary device (hereinafter referred to as a collection device) collects the measured values of each air quality sensor and uses the collected measured values to generate the air quality information 20 . The collection device may be the infection risk assessment device 2000 or a device other than the infection risk assessment device 2000 .

The air quality sensor may be installed at a fixed location within the target area 10, or may be installed at a terminal that moves within the target area 10. In the latter case, for example the air quality sensor is provided in the user terminal.

There are various methods for the acquisition unit 2020 to acquire the air quality information 20. For example, the air quality information 20 is stored in a storage unit (for example, cloud storage) in a manner accessible from the infection risk assessment device 2000 . The process of storing the air quality information 20 in the storage unit is performed by an air quality sensor, collection device, user terminal, or the like. In this case, the acquisition unit 2020 acquires the air quality information 20 from this storage unit. Here, when there are a plurality of target areas 10, the acquisition unit 2020 acquires the air quality information 20 indicating the identification information of the target areas 10 for which the infection risk information 50 is generated.

In addition, for example, the acquisition unit 2020 acquires the air quality information 20 by receiving the air quality information 20 transmitted from an air quality sensor, collection device, user terminal, or the like. In this case, for example, the infection risk assessment device 2000 can communicate with air quality sensors, collection devices, or user terminals via any network such as Bluetooth (registered trademark) Mesh network, wireless LAN, or mobile communication network. Connected.

Note that when the infection risk assessment device 2000 is implemented in user terminals, user terminals with air quality sensors and user terminals without air quality sensors may coexist. In this case, a user terminal having an air quality sensor obtains air quality information 20 from the results of measurements by its own air quality sensor. On the other hand, a user terminal without an air quality sensor acquires air quality information 20 by receiving air quality information 20 from another user terminal with an air quality sensor. That is, the air quality information 20 is shared between user terminals. For example, by connecting user terminals in the target area 10 to each other via a Bluetooth (registered trademark) Mesh network, sidelink communication, or the like, it is possible to share information between user terminals. Sidelink communication is a V2X (vehicle-to-everything) communication method being considered by 3GPP REL16. 3GPP TS23.287 defines the PC5 interface as an interface between user terminals.

<Acquisition of Density Information 30: S104>
The acquisition unit 2020 acquires the density information 30 (S104). The density information 30 is information representing the density of people in the target area 10 . Moreover, when there are a plurality of target regions 10 , it is preferable that the density information 30 further includes identification information of the target regions 10 .

The density of people in the target area 10 can be calculated by dividing the number of people 60 in the target area 10 by the size of the target area 10 . Therefore, a device that generates the density information 30 (hereinafter referred to as a density information generation device) specifies the number of persons 60 in the target area 10 and the size of the target area 10 . Then, the density information generating device calculates the density of people in the target area 10 based on the number of identified persons 60 and the size of the target area 10, and generates density information 30 indicating the calculation result. Here, the density information generating device may be the infection risk assessment device 2000 or may be other than the infection risk assessment device 2000. FIG. A method for identifying each of the number of persons 60 and the size of the target area 10 will be exemplified below.

<<Identification of the number of persons 60>>
There are various ways to identify the number of persons 60 . For example, the number of persons 60 can be determined using a camera arranged to image persons within the area of interest 10 . In this case, for example, the density information generation device acquires the captured image generated by the camera, and performs person detection processing on the captured image to detect an image area representing a person from the captured image. Then, the density information generating device identifies the number of detected image areas as the number of persons 60 . Here, various existing techniques can be used as techniques for detecting an image region representing a person from an image.

In addition, for example, the density information generating device may specify the number of persons 60 in the target area 10 by counting the number of persons 60 entering and exiting the target area 10 . The number of persons 60 in the target area 10 can be identified by subtracting the number of persons 60 exiting the target area 10 from the number of persons 60 entering the target area 10 . Here, various existing techniques can be used for the technique of counting the number of people entering and exiting a specific place.

In addition, for example, the density information generating device may specify the number of user terminals existing in the target area 10 and treat the specified number of user terminals as the number of persons 60 . There are various ways of determining the number of user terminals present in the area of interest 10 . For example, user terminals existing in the target area 10 are connected to each other by a wireless network such as a Bluetooth (registered trademark) Mesh network or a wireless LAN. In other words, assume that a network in which user terminals participate is configured in the target area 10 . In this case, by counting the number of user terminals connected to the network, the number of user terminals present in the target area 10 can be specified.

There are various methods for counting user terminals connected to the network. For example, the number of user terminals can be counted by counting the number of terminals connected to the access point. In addition, for example, it is possible to count the number of user terminals by collecting information on the user terminals that make up the network from arbitrary user terminals connected to the Mesh network and using that information.

Further, the density information generating device counts the number of user terminals located in the target area 10 among the user terminals connected to the mobile communication network, thereby determining the number of user terminals existing in the target area 10. may specify the number of For example, in the 5G network, an area called RNA (RAN (Radio Access Network) based Notification Area) is defined by subdividing a TA (Tracking Area) consisting of one or more cells. The 5G core can then identify the number of user terminals connected to the 5G network in units of cells, TAs, or RNAs (hereafter referred to as cells). Therefore, one or more cells or the like whose range roughly matches the target area 10 are grasped in advance, and the number of user terminals located in these cells or the like is counted as the number of user terminals in the target area 10. be treated as the number of In this case, the density information generating device obtains from the 5G core information indicating the number of user terminals located in one or more cells whose range roughly matches the target area 10, specifies the number of user terminals in the Note that the density information generator may be realized by the 5G core.

<<Identification of the size of the target region 10>>
There are various methods for specifying the extent of the target area 10 . For example, information indicating the size of the target area 10 is stored in the storage unit in advance in a form that can be obtained from the density information generating device. The density information generation device identifies the size of the target area 10 by acquiring this information from the storage unit. If there are a plurality of target areas 10, information indicating the size of each target area 10 is prepared.

In addition, for example, in the case of specifying the number of user terminals located in a cell or the like in the above-described mobile communication network, the size of the cell or the like (range where radio waves reach) that roughly matches the target area 10 is It may be treated as the size of the target area 10 .

<<Method for Acquiring Density Information 30>>
There are various methods for the acquisition unit 2020 to acquire the density information 30 . For example, the density information 30 is stored in a storage unit (for example, cloud storage) in a manner accessible from the infection risk assessment device 2000 . In this case, the acquisition unit 2020 acquires the density information 30 by reading the density information 30 from this storage unit. Here, when there are a plurality of target areas 10, the obtaining unit 2020 obtains the density information 30 indicating the identification information of the target areas 10 for which the infection risk information 50 is generated. Alternatively, for example, the acquisition unit 2020 may acquire the density information 30 by receiving the density information 30 transmitted from the density information generation device.

<Acquisition of reference information 40: S106>
The acquisition unit 2020 acquires the reference information 40 (S106). As described above, the reference information 40 is information indicating the infection risk criteria (criteria for determining that the infection risk is high) for each of air quality and human density. Each criterion will be described below.

The infection risk standard for air quality is expressed, for example, as the standard value for the concentration of specific substances that represent air quality. Assume that the specific substance is a substance (for example, carbon dioxide) that is considered to have a higher risk of infection as its concentration increases. In this case, when the concentration of the specific substance in the target area 10 is equal to or higher than the reference value indicated by the reference information 40, it can be said that the air quality in the target area 10 satisfies the infection risk standard. Also, when the concentration of the specific substance in the target area 10 is less than the reference value indicated by the reference information 40, it can be said that the air quality in the target area 10 does not meet the infection risk standard.

On the other hand, assume that the specific substance is a substance that is considered to have a higher risk of infection as its concentration decreases. In this case, when the concentration of the specific substance in the target area 10 is equal to or lower than the reference value indicated by the reference information 40, it can be said that the air quality in the target area 10 satisfies the infection risk standard. Also, when the concentration of the specific substance in the target area 10 is higher than the reference value indicated by the reference information 40, it can be said that the air quality in the target area 10 does not meet the infection risk standard.

Various values can be set as the reference value for the concentration of specific substances. When the specific substance is carbon dioxide, it is conceivable to use a value such as 1,000 [ppm] as the reference value, for example. However, this value is only an example, and the reference value is not limited to this value. For example, the reference value is set to an appropriate value based on materials presented by the national government, local governments, infectious disease experts, or the like.

The infection risk standard for human density is expressed, for example, by the standard value for human density. Here, the higher the density of people, the higher the risk of infection. Therefore, when the density of people in the target area 10 is equal to or higher than the reference value indicated by the standard information 40, it can be said that the density of people in the target area 10 satisfies the infection risk criteria. On the other hand, when the density of people in the target area 10 is less than the reference value indicated by the standard information 40, it can be said that the density of people in the target area 10 does not meet the infection risk criteria.

Various values can be set for the standard value set as the infection risk standard for human density. For example, in order to prevent the spread of infectious diseases, suppose that the distance between people is D[m] or more. As an example of a case where this condition is satisfied, we can think of a case where "the number of people in a square of D[m]xD[m] is one or less." Therefore, it is conceivable to use a reference value of "1/D^2 [people/m^2]" to express the condition that "there is one person per square of D[m]xD[m]". . If D=2, the reference value is 0.25 [person/m^2]. However, the method of determining the reference value described here is merely an example, and any method can be adopted as the method of determining the reference value. For example, the reference value is set to an appropriate value based on materials presented by the national government, local governments, infectious disease experts, or the like.

There are various methods for the acquisition unit 2020 to acquire the reference information 40. For example, it is assumed that the reference information 40 is stored in advance in the storage unit in a manner accessible from the infection risk assessment device 2000 . In this case, the acquisition unit 2020 acquires the reference information 40 by reading the reference information 40 from this storage unit. Alternatively, for example, the acquisition unit 2020 may acquire the reference information 40 by receiving the reference information 40 transmitted by any other device.

<Generation of infection risk information 50: S108>
The generation unit 2040 generates the infection risk information 50 (S108). Therefore, the generation unit 2040 compares the air quality of the target area 10 indicated by the air quality information 20 and the density of people in the target area 10 with the infection risk criteria indicated by the reference information 40 . More specifically, the generation unit 2040 determines that the infection risk criteria indicated by the reference information 40 are satisfied for each of the air quality of the target area 10 indicated by the air quality information 20 and the density of people in the target area 10. Determine whether or not

For example, the generation unit 2040 compares the concentration of the specific substance indicated by the air quality information 20 with the reference value indicated by the reference information 40 to determine whether the air quality of the target area 10 satisfies the infection risk standard. judge. Here, it is assumed that the higher the concentration of the specific substance, the higher the risk of infection. In this case, the generation unit 2040 determines whether the concentration of the specific substance indicated by the air quality information 20 is equal to or higher than the reference value. When the concentration of the specific substance indicated by the air quality information 20 is equal to or higher than the reference value, the generation unit 2040 determines that the air quality of the target area 10 meets the infection risk standard. On the other hand, when the concentration of the specific substance indicated by the air quality information 20 is less than the reference value, the generator 2040 determines that the air quality of the target area 10 does not meet the infection risk standard.

On the other hand, it is assumed that the lower the concentration of a specific substance, the higher the risk of infection. In this case, the generation unit 2040 determines whether the concentration of the specific substance indicated by the air quality information 20 is equal to or lower than the reference value. When the concentration of the specific substance indicated by the air quality information 20 is equal to or less than the reference value, the generation unit 2040 determines that the air quality of the target area 10 meets the infection risk standard. On the other hand, when the concentration of the specific substance indicated by the air quality information 20 is greater than the reference value, the generator 2040 determines that the air quality of the target area 10 does not meet the infection risk standard. It should be noted that it is preliminarily determined which of the specific substance, the higher the concentration, the higher the risk of infection, or the lower the concentration, the higher the risk of infection.

In addition, the generation unit 2040 determines whether the density of people in the target area 10 satisfies the infection risk standard indicated by the standard information 40. More specifically, the generation unit 2040 determines whether or not the density of people in the target area 10 is equal to or greater than the reference value indicated by the reference information 40 . If the density of people in the target area 10 is greater than or equal to the reference value, the generator 2040 determines that the density of people in the target area 10 satisfies the infection risk criteria. On the other hand, when the density of people in the target area 10 is less than the reference value, the generator 2040 determines that the density of people in the target area 10 does not meet the infection risk criteria.

The generation unit 2040 generates the infection risk information 50 based on the results of the determinations made for each of the air quality and the density of people. Here, when both the air quality of the target area 10 and the density of people in the target area 10 satisfy the infection risk criteria, it is estimated that the infection risk in the target area 10 is high. Therefore, when both the air quality of the target area 10 and the density of people in the target area 10 satisfy the infection risk criteria, the generation unit 2040 generates the infection risk information 50 indicating that the infection risk in the target area 10 is high. Generate.

FIG. 5 is a first diagram illustrating infection risk information 50. FIG. For example, the infection risk information 50 in FIG. 5 is displayed on any display device. Variations in the output mode of the infection risk information 50 will be described later.

The infection risk information 50 in FIG. 5 indicates that the infection risk is high. Furthermore, the infection risk information 50 indicates actions necessary to reduce the infection risk. In this example, both air quality and population density meet the infection risk criteria. There, both recommended actions to improve air quality and recommended actions to reduce human density are presented.

The generation unit 2040 generates the infection risk information 50 even if there is a factor that does not satisfy the infection risk criteria among the two factors of the air quality of the target area 10 and the density of people in the target area 10. you can If neither of the two factors meet the infection risk criteria, then the risk of infection in the area of interest 10 is assumed to be low. On the other hand, if one of the two factors meets the infection risk criteria and the other does not, the risk of infection is lower than if both factors meet the infection risk criteria. , the infection risk is assumed to be higher than when both factors do not meet the infection risk criteria.

Therefore, for example, three ranks are set for infection risk, and infection risk information 50 indicating the rank of infection risk in the target area 10 is generated. Here, rank 1 is the situation with the lowest infection risk, rank 2 is the situation with the next lowest infection risk, and rank 3 is the situation with the highest infection risk. In this case, if both of the two factors meet the infection risk criteria, the infection risk is Rank 3. Also, in a situation where one of the two factors satisfies the infection risk criteria and the other does not, the infection risk is rank 2. In a situation where the infection risk criteria are not met for any of the two factors, the infection risk is Rank 1.

FIG. 6 is a second diagram illustrating the infection risk information 50. FIG. In this example, the air quality in the target area 10 does not meet the infection risk criteria, while the population density in the target area 10 meets the infection risk criteria. Therefore, the infection risk information 50 indicates that the infection risk in the target area 10 is rank 2.

In addition, the infection risk information 50 indicates whether or not each factor satisfies the infection risk criteria. Specifically, the circle mark indicates that the infection risk standard is not met, and the cross mark indicates that the infection risk standard is met. Air quality is marked with a circle because it does not meet infection risk criteria. On the other hand, the population density is crossed out because the infection risk criteria are met. In addition, recommended actions to reduce the risk of infection are indicated for the factors for which criteria are met (in this case population density).

<Output of infection risk information 50>
The infection risk evaluation device 2000 outputs the generated infection risk information 50. FIG. There are various output modes of the infection risk information 50 . For example, when the infection risk assessment device 2000 is realized by a user terminal, the infection risk assessment device 2000 displays the infection risk information 50 on its own display device (for example, the display device of a smart phone). A person 60 who owns the user terminal can recognize the high infection risk in the place where he or she is by viewing the infection risk information 50 displayed on the display device. In addition, it is possible to grasp the actions to be taken to reduce the risk of infection.

It is assumed that the infection risk evaluation device 2000 is realized by a server device. In this case, for example, one or more display devices are provided in the target area 10 in advance. Then, the infection risk assessment apparatus 2000 displays the infection risk information 50 generated for the target area 10 on the display device within the target area 10 . By viewing the infection risk information 50 displayed on the display device, the person 60 can recognize the high infection risk in the place where he/she is. In addition, it is possible to grasp the actions to be taken to reduce the risk of infection.

In addition, for example, the infection risk information 50 may be provided to the user terminal from the infection risk evaluation device 2000 realized by the server device. Here, the infection risk information 50 for a specific target area 10 may be provided only to the user terminals of persons in the target area 10, or may be provided to any user terminal. good. In the former case, for example, the infection risk assessment device 2000 sends infection risk information 50 about the target area 10 to user terminals connected to the Bluetooth (registered trademark) Mesh network or wireless LAN in the target area 10. Send.

When infection risk information 50 is provided to an arbitrary user terminal, for example, a person who has a user terminal operates his or her own user terminal to provide infection risk information 50 via a website or application. to the infection risk assessment device 2000. The infection risk assessment device 2000 provides infection risk information 50 as a response to the request. Here, when there are a plurality of target areas 10, the identification information of the target area 10 whose infection risk is desired to be grasped is designated on the user terminal. The infection risk assessment device 2000 acquires the air quality information 20 and density information 30 for the specified target area 10 and generates infection risk information 50 .

For example, the user of the user terminal can appropriately determine whether to go to the target area 10 by acquiring the infection risk information 50 representing the infection risk of the target area 10 in advance before going to the target area 10. . In particular, in a facility or the like that includes a plurality of target areas 10, it is possible to "avoid going to a place with a high risk of infection and go to a place with a low risk of infection".

In addition, for example, the infection risk information 50 may be provided to terminals such as administrators of the target area 10 and security guards guarding the target area 10 . An administrator, a security guard, or the like can take appropriate measures by grasping the situation in which the risk of infection is high in the target area 10 . For example, if the air quality meets the infection risk criteria, the intensity of the fan can be increased. Also, if the density of people meets the infection risk criteria, appropriate guidance should be given to reduce the number of people in the target area 10 or to reduce the number of people entering the target area 10. can be done.

For the terminals of administrators, security guards, etc. (hereinafter referred to as administrators, etc.), the addresses of the terminals are registered in advance in a manner that can be obtained from the infection risk assessment device 2000, for example. The infection risk evaluation apparatus 2000 provides the infection risk information 50 to the administrator or the like by transmitting the infection risk information 50 to these pre-registered addresses. Also, the infection risk information 50 may be provided to the administrator or the like by a method similar to the method of providing to the user terminal described above.

It should be noted that each of the above examples illustrates a case where the infection risk information 50 is output as visual information. However, the infection risk information 50 may be output as auditory information (that is, voice). In this case, for example, the infection risk information 50 is output from a speaker provided in advance in the target area 10, a speaker provided in the user terminal, or the like.

<Automatic control of equipment>
The infection risk assessment device 2000 may automatically control equipment provided in and around the target area 10 in order to improve the air quality of the target area 10 and reduce the density of people in the target area 10. . For example, if the air quality of the target area 10 meets the infection risk criteria, the infection risk assessment device 2000 controls the ventilation equipment provided in the target area 10 so as to provide stronger ventilation. In addition, when the density of people in the target area 10 satisfies the infection risk criteria, the infection risk assessment device 2000 temporarily closes the entrance gate provided in the target area 10. reduce the number of people entering

<Acquisition of other information>
The infection risk assessment device 2000 may further acquire information other than the air quality information 20 and the density information 30 . For example, the infection risk assessment device 2000 acquires information on body temperature, the state of infection with an infectious disease, or information on vaccination (presence or absence of vaccination, date and time of vaccination, etc.) of the owner of the user terminal. For example, when the infection risk assessment device 2000 is implemented in the user terminal of each person 60, the infection risk assessment device 2000 can further perform notification using such information. For example, it is conceivable to notify when the distance from a person with a high body temperature, an infectious disease, or a person who has not been vaccinated continues for a predetermined period of time or longer.

Also, if an entrance gate is provided in the target area 10, the entrance gate may be automatically controlled using body temperature information. Specifically, when a person whose body temperature is equal to or higher than a threshold tries to pass through an entrance gate, it is conceivable to close the gate and notify a security guard or the like.

In addition, the infection risk evaluation device 2000 may determine that the infection risk is high when people are entering and exiting in a situation where the air quality is poor. In this case, the criteria information 40 indicates at least the infection risk criteria for human traffic and the infection risk criteria for air quality. The infection risk criteria for the comings and goings of people are the criteria for judging that the comings and goings of people have a high infection risk. The infection risk assessment device 2000 identifies each person in the target area 10 to determine how many people come and go, thereby determining whether or not the infection risk criteria for the comings and goings of people are satisfied. do. The infection risk assessment device 2000 also uses the air quality information 20 to determine whether the infection risk criteria for air quality are met.

Here, the more people come and go, the higher the risk of infection. Therefore, for example, the infection risk evaluation device 2000 determines that the infection risk is high when there are many people coming and going and the infection risk standard for air quality is satisfied. The number of comings and goings of people can be represented by an index value such as the ratio of people who are replaced in the target area 10 per unit time, or the number of new people who enter the target area 10 per unit time. In this case, the infection risk standard for the comings and goings of people is a standard such as "an index value representing the number of comings and goings of people is equal to or greater than a threshold". In that case, for example, when the ratio of people who are replaced per unit time in the target area 10 or the number of new people who enter the target area 10 per unit time is equal to or greater than the threshold indicated in the reference information 40 Then, the infection risk criteria for people coming and going will be fulfilled.

In addition, the infection risk criteria for the entry and exit of people may be used instead of the infection risk criteria for the density of people, or may be used together with the infection risk criteria for the density of people. In the former case, even if the density of people is low, it is determined that the risk of infection is high if there are many people coming and going and the air quality is poor. In the latter case, the high risk of infection is determined using, for example, three factors: air quality, density of people, and high traffic. For example, when all of these three factors meet the infection risk criteria, it is determined that the infection risk is high. In addition, for example, as described above, a rank is provided for the level of infection risk, and the higher the number of factors that satisfy the infection risk criteria, the higher the infection risk rank.

Although the present invention has been described with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

It should be noted that in the above examples, the program includes instructions (or software code) that, when read into a computer, cause the computer to perform one or more functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or tangible storage medium. By way of example, and not limitation, computer readable media or tangible storage media may include random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drives (SSD) or other memory technology, CDs - ROM, digital versatile disc (DVD), Blu-ray disc or other optical disc storage, magnetic cassette, magnetic tape, magnetic disc storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example, and not limitation, transitory computer readable media or communication media include electrical, optical, acoustic, or other forms of propagated signals.

Some or all of the above-described embodiments can also be described in the following supplementary remarks, but are not limited to the following.
(Appendix 1)
Air quality information representing the quality of air within a target area, density information representing the density of people within the target area, and infection risk criteria for determining that the risk of infection is high are shown with respect to the air quality and the density of people. an acquisition unit that acquires reference information;
an infection risk assessment system, comprising: a generation unit that generates infection risk information, which is information about infection risk of an infectious disease in the target area, based on the air quality information, the density information, and the reference information.
(Appendix 2)
When the air quality in the target area indicated by the air quality information and the density of people in the target area indicated by the density information satisfy the infection risk standard, The infection risk assessment system according to appendix 1, which generates the infection risk information indicating that the risk is high.
(Appendix 3)
the air quality information indicates the concentration of a particular substance in the air within the region of interest;
3. The infection risk assessment system according to appendix 1 or 2, wherein the infection risk criterion for air quality indicates a threshold concentration of the specific substance.
(Appendix 4)
Identifying the number of user terminals connected to a network configured within the target area, and generating the density information for the target area based on the identified number of user terminals. or the infection risk assessment system according to item 1.
(Appendix 5)
communicably connected to a user terminal located within the target area;
5. The infection risk assessment system according to any one of appendices 1 to 4, wherein the acquisition unit acquires the air quality information, the density information, or both from the user terminal.
(Appendix 6)
to the computer,
Air quality information representing the quality of air within a target area, density information representing the density of people within the target area, and infection risk criteria for determining that the risk of infection is high are shown with respect to the air quality and the density of people. an obtaining step of obtaining reference information;
a generation step of generating infection risk information regarding infection risk of an infectious disease in the target area based on the air quality information, the density information, and the reference information; and .
(Appendix 7)
In the generating step, if the air quality in the target area indicated by the air quality information and the density of people in the target area indicated by the density information meet the infection risk criteria, the infection risk Clause 6. The non-transitory computer-readable medium of Clause 6, wherein the infection risk information is representative of a high risk of infection.
(Appendix 8)
the air quality information indicates the concentration of a particular substance in the air within the region of interest;
8. The non-transitory computer readable medium of Clause 6 or 7, wherein the infection risk criterion for air quality indicates a threshold concentration of the particular substance.
(Appendix 9)
The program identifies the number of user terminals connected to a network configured within the target area, and generates the density information for the target area based on the identified number of user terminals. 9. The non-transitory computer readable medium of any one of Clauses 6-8.
(Appendix 10)
The computer is communicatively connected to a user terminal located within the target area,
10. The non-transitory computer readable medium of any one of clauses 6-9, wherein in the obtaining step, the air quality information, the density information, or both are obtained from the user terminal.
(Appendix 11)
the computer
Air quality information representing the quality of air within a target area, density information representing the density of people within the target area, and infection risk criteria for determining that the risk of infection is high are shown with respect to the air quality and the density of people. an obtaining step of obtaining reference information;
and a generation step of generating infection risk information, which is information about infection risk of an infectious disease in the target area, based on the air quality information, the density information, and the reference information.
(Appendix 12)
In the generating step, if the air quality in the target area indicated by the air quality information and the density of people in the target area indicated by the density information meet the infection risk criteria, the infection risk 12. The infection risk assessment method according to appendix 11, wherein the infection risk information representing that the is high is generated.
(Appendix 13)
the air quality information indicates the concentration of a particular substance in the air within the region of interest;
13. The infection risk assessment method according to appendix 11 or 12, wherein said infection risk criterion for air quality indicates a threshold concentration of said specific substance.
(Appendix 14)
Identifying the number of user terminals connected to a network configured within the target area, and generating the density information for the target area based on the identified number of user terminals. or the infection risk assessment method according to item 1.
(Appendix 15)
The computer is communicatively connected to a user terminal located within the target area,
15. The infection risk assessment method according to any one of appendices 11 to 14, wherein in the acquisition step, the air quality information, the density information, or both are acquired from the user terminal.

10 target area 20 air quality information 30 density information 40 reference information 50 infection risk information 60 person 500 computer 502 bus 504 processor 506 memory 508 storage device 510 input/output interface 512 network interface 2000 infection risk assessment device 2020 acquisition unit 2040 generation unit

Claims

Air quality information representing the quality of air within a target area, density information representing the density of people within the target area, and infection risk criteria for determining that the risk of infection is high are shown with respect to the air quality and the density of people. an acquisition unit that acquires reference information;
an infection risk assessment system, comprising: a generation unit that generates infection risk information, which is information about infection risk of an infectious disease in the target area, based on the air quality information, the density information, and the reference information.
When the air quality in the target area indicated by the air quality information and the density of people in the target area indicated by the density information satisfy the infection risk standard, 2. The infection risk assessment system according to claim 1, which generates said infection risk information representing high risk.
the air quality information indicates the concentration of a particular substance in the air within the region of interest;
3. The infection risk assessment system according to claim 1 or 2, wherein said infection risk criterion for air quality indicates a threshold concentration of said specific substance.
4. Identifying the number of user terminals connected to a network configured within the target area, and generating the density information for the target area based on the identified number of user terminals. An infection risk assessment system according to any one of the paragraphs.
communicably connected to a user terminal located within the target area;
The infection risk assessment system according to any one of claims 1 to 4, wherein the acquisition unit acquires the air quality information, the density information, or both from the user terminal.
to the computer,
Air quality information representing the quality of air within a target area, density information representing the density of people within the target area, and infection risk criteria for determining that the risk of infection is high are shown with respect to the air quality and the density of people. an obtaining step of obtaining reference information;
a generation step of generating infection risk information regarding infection risk of an infectious disease in the target area based on the air quality information, the density information, and the reference information; and .
In the generating step, if the air quality in the target area indicated by the air quality information and the density of people in the target area indicated by the density information meet the infection risk criteria, the infection risk 7. The non-transitory computer-readable medium of claim 6, generating the infection risk information representative of a high .
the air quality information indicates the concentration of a particular substance in the air within the region of interest;
8. The non-transitory computer readable medium of claim 6 or 7, wherein the infection risk criterion for air quality indicates a threshold concentration of the particular substance.
wherein the program identifies the number of user terminals connected to a network configured within the target area, and generates the density information for the target area based on the identified number of user terminals; Clause 9. The non-transitory computer readable medium of any one of clauses 6-8.
The computer is communicatively connected to a user terminal located within the target area,
10. The non-transitory computer readable medium of any one of claims 6-9, wherein the obtaining step obtains the air quality information, the density information, or both from the user terminal.
the computer
Air quality information representing the quality of air within a target area, density information representing the density of people within the target area, and infection risk criteria for determining that the risk of infection is high are shown with respect to the air quality and the density of people. an obtaining step of obtaining reference information;
and a generation step of generating infection risk information, which is information about infection risk of an infectious disease in the target area, based on the air quality information, the density information, and the reference information.
In the generating step, if the air quality in the target area indicated by the air quality information and the density of people in the target area indicated by the density information meet the infection risk criteria, the infection risk 12. The infection risk evaluation method according to claim 11, wherein said infection risk information representing that is high is generated.
the air quality information indicates the concentration of a particular substance in the air within the region of interest;
13. The infection risk assessment method according to claim 11 or 12, wherein said infection risk criterion for air quality indicates a threshold concentration of said specific substance.
14. Identifying the number of user terminals connected to a network configured within the target area, and generating the density information for the target area based on the identified number of user terminals. The infection risk assessment method according to any one of the items.
The computer is communicatively connected to a user terminal located within the target area,
15. The infection risk assessment method according to any one of claims 11 to 14, wherein in said acquisition step, said air quality information, said density information, or both are acquired from said user terminal.