Information processing device, information processing method, and information processing program

Abstract

To obtain an information processing device, information processing method, and information processing program, which can contribute to preventing infection of an infectious disease from spreading.SOLUTION: An information processing device 10 includes at least one processor. The processor acquires position information and vital information of a user, determines whether or not the user is an infection risk person who has a probability of infection with an infectious disease on the basis of the vital information, identifies an infection risk place where there is a probability that the user is infected by the other person or infects the other person on the basis of the position information when the user is determined to be the infection risk person, and distinguishably maps the infection risk place identified for the infection risk person and the infection risk place identified in advance for a confirmed infected person with the infectious disease.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] Conventionally, there are known techniques for determining a user's risk of infection with an infectious disease in order to prevent the spread of the disease. For example, Patent Document 1 describes a technique for collecting location information and health information about multiple users and generating an infection risk map for each location in which the more users infected with the disease have stayed, the higher the infection risk. Patent Document 1 also describes a technique for comparing the infection risk map with a user's travel route and notifying the user of the infection risk along that route.

[0003] For example, Patent Document 2 describes determining the risk level of an infectious disease based on contact status with others, the user's behavioral history, the user's health condition, and criteria for determining the risk level of an infectious disease. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-161987 [Patent Document 2] Patent No. 6875594 Summary of the Invention [Problem to be solved by the invention]

[0005] The novel coronavirus disease (COVID-19), which has been prevalent in recent years, is known to have the following characteristics: some people may not develop symptoms even after infection, and some people may have an incubation period of several days after infection before developing symptoms. Due to these characteristics, the spread of infection by asymptomatic pathogen carriers who do not develop symptoms even after infection, and infected people during the incubation period (hereinafter collectively referred to as "asymptomatic individuals") has become an issue. To more effectively prevent the spread of infection, there is a need for technology that can identify locations with a risk of infection while taking into account the presence of asymptomatic individuals. However, the technologies described in Patent Documents 1 and 2 are unable to identify locations with a risk of infection while taking into account the presence of asymptomatic individuals.

[0006] The present disclosure provides an information processing device, an information processing method, and an information processing program that can contribute to preventing the spread of infectious diseases. [Means for solving the problem]

[0007] A first aspect of the present disclosure is an information processing device, comprising at least one processor, wherein the processor is configured to receive location information of a user. location information to which time information indicating the time when the user was present at the location indicated by the location information is added; and vital information, and determine whether the user is a person at risk of infection based on the vital information, and if the user is determined to be a person at risk of infection, location information and time information Based on this, the system identifies infection risk locations where a user has been infected by others or is likely to infect others, and maps the infection risk locations identified for people at risk of infection and the infection risk locations previously identified for people confirmed to be infected with an infectious disease in a manner that allows them to be distinguished.

[0008] In the first aspect, the person at risk of infection may be a person who is unaware of any symptoms related to the infection.

[0009] In the first aspect, the person at risk of infection may be a person who has been tested for an infectious disease and whose test result was negative.

[0010] In the first aspect, the person at risk of infection may be a person who has had contact with a person confirmed to be infected with an infectious disease.

[0011] In the first aspect , pu The processor may identify a location where the at-risk person has been present for a predetermined period of time or longer as an infection risk location for the at-risk person based on the location information and the time information.

[0012] In the first aspect , pu The processor may change the form of mapping of the infection risk location identified for the infection risk person based on the time information, depending on the elapsed time from the time the infection risk person was present at the infection risk location to the current time.

[0013] In the first aspect, the processor may obtain the infectious disease test results of a user determined to be at risk of infection, and if the test results are positive, update the mapping of infection risk locations identified for the user to a mapping of infection risk locations for a confirmed infected person.

[0014] In the first aspect, the processor may obtain the infectious disease test results of a user determined to be at risk of infection, and if the test results are negative, cancel the mapping of the infection risk location identified for that user.

[0015] In the first aspect, if the processor determines that the user is at risk of infection, the processor may recommend that the user continue monitoring the vital information.

[0016] In the first aspect, when the processor determines that the user is at risk of infection, the processor may notify the user of the timing of an infectious disease test based on the vital sign information.

[0017] In the first aspect, the processor may recommend cleaning of the infection risk location.

[0018] In the first aspect, the processor may issue a warning when the user approaches an infection risk location based on the location information.

[0019] In the first aspect, the vital information may indicate at least one of heart rate variability, heart rate, and arterial blood oxygen saturation. In the first aspect, the processor In a terminal device owned by a user, Contact notification that the user may have come into contact with a confirmed infected person but Reception was In case, Sent from the terminal device Location information and vital information may also be acquired.

[0020] A second aspect of the present disclosure is an information processing method, comprising: location information to which time information indicating the time when the user was present at the location indicated by the location information is added; and vital information, and determine whether the user is a person at risk of infection based on the vital information, and if the user is determined to be a person at risk of infection, location information and time information Based on this, a process is performed to identify infection risk locations where a user has been infected by others or may infect others, and to distinguish between the infection risk locations identified for those at risk of infection and the infection risk locations previously identified for those confirmed to be infected with an infectious disease. The computer runs .

[0021] A third aspect of the present disclosure is an information processing program, location information to which time information indicating the time when the user was present at the location indicated by the location information is added; and vital information, and determine whether the user is a person at risk of infection based on the vital information, and if the user is determined to be a person at risk of infection, location information and time information Based on this, the computer is caused to execute a process of identifying infection risk locations where a user has been infected by others or is likely to infect others, and mapping the infection risk locations identified for people at risk of infection in a manner that allows them to distinguish between infection risk locations previously identified for people confirmed to be infected with an infectious disease. [Effects of the Invention]

[0022] According to the above aspects, the information processing device, information processing method, and information processing program of the present disclosure can contribute to preventing the spread of infectious diseases. [Brief explanation of the drawings]

[0023] [Figure 1] FIG. 1 is a schematic configuration diagram of an information processing system. [Figure 2] This is a schematic diagram showing the changes in heart rate variability, etc. in patients infected with COVID-19. [Figure 3] FIG. 2 is a block diagram illustrating an example of a hardware configuration of an information processing device. [Figure 4] FIG. 2 is a block diagram illustrating an example of a functional configuration of an information processing device. [Figure 5] FIG. 10 is a diagram illustrating an example of heart rate variability. [Figure 6] FIG. 10 is a diagram illustrating an example of position information and time information. [Figure 7] FIG. 10 is a diagram illustrating an example of a screen displayed on a display. [Figure 8] FIG. 10 is a diagram illustrating an example of a screen displayed on a display. [Figure 9] 10 is a flowchart illustrating an example of terminal processing in the terminal device. [Figure 10] 10 is a flowchart illustrating an example of a mapping process in the information processing device. [Figure 11] 10 is a flowchart illustrating an example of an update process in the information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0024] Hereinafter, exemplary embodiments for implementing the technology of the present disclosure will be described in detail with reference to the drawings. First, an exemplary configuration of an information processing system 1 according to the present embodiment will be described with reference to FIG. 1. The information processing system 1 is a system that identifies locations at risk of infection, taking into consideration not only those confirmed by testing to be infected with an infectious disease, but also asymptomatic pathogen carriers who do not develop symptoms even if infected, and infected persons in the incubation period (hereinafter collectively referred to as "asymptomatic persons"). This contributes to preventing the spread of infectious diseases. In the following exemplary embodiments, novel coronavirus disease (COVID-19) will be used as an example of an infectious disease, but the technology of the present disclosure can also be applied to other infectious diseases (e.g., influenza virus infection, etc.).

[0025] 1, the information processing system 1 includes an information processing device 10, multiple terminal devices 2A-2C, multiple measuring devices 3A-3C, multiple home testing devices 4A-4C, a contact history management server 6, and a test result management server 8. The information processing device 10, the multiple terminal devices 2A-2C, the contact history management server 6, and the test result management server 8 are capable of communicating with each other via a wired or wireless network 9.

[0026] Hereinafter, when there is no need to distinguish between the multiple terminal devices 2A-2C, they will simply be referred to as "terminal device 2," when there is no need to distinguish between the multiple measuring devices 3A-3C, they will simply be referred to as "measuring device 3," and when there is no need to distinguish between the multiple home testing devices 4A-4C, they will simply be referred to as "home testing device 4." Note that although Fig. 1 shows three each of terminal devices 2, measuring devices 3, and home testing devices 4, the number of each device included in the information processing system 1 is not particularly limited.

[0027] In the information processing system 1, multiple users each own a terminal device 2, a measurement device 3, and a home inspection device 4. That is, the owners of terminal device 2A, measurement device 3A, and home inspection device 4A are different from the owners of terminal device 2B, measurement device 3B, and home inspection device 4B, and the owners of terminal device 2C, measurement device 3C, and home inspection device 4C. Terminal device 2 is connected to the measurement device 3 and home inspection device 4 owned by the same user via wireless or wired communication. In this case, wireless communication standards such as Wi-Fi (registered trademark) and Bluetooth (registered trademark) can be used as appropriate.

[0028] The measuring device 3 measures at least one type of vital information of the user over time and transmits the measured vital information to the terminal device 2 via wired or wireless communication. "Measurement over time" means continuously measuring vital information at predetermined time intervals. The vital information is, for example, information indicating at least one of heart rate variability, heart rate, and arterial oxygen saturation (SpO2). The measuring device 3 can be, for example, a heart rate monitor or a wearable device such as a smartwatch equipped with a sensor that measures vital information. Furthermore, multiple measuring devices 3 that measure different types of vital information may be connected to one terminal device 2.

[0029] The home testing device 4 allows the user to self-test to determine whether or not they are infected with an infectious disease, and transmits the test results via wired or wireless communication to the terminal device 2. As the home testing device 4, for example, a home COVID-19 antigen test kit manufactured by Ellume can be applied.

[0030] The contact history management server 6 uses a publicly known COVID-19 contact confirmation application to notify the terminal device 2 if the user, who is the owner of the terminal device 2, may have come into contact with a person infected with COVID-19. Here, "contact" with an infected person means being within a predetermined distance from the user's location for a predetermined period of time while the infected person was infectious to others, and includes so-called "close contact." The contact history management server 6 can be, for example, a server computer or a personal computer.

[0031] The test result management server 8 collects test results, which are conducted at medical institutions or the like to determine whether or not a user is infected with an infectious disease, in association with the user. Tests for infectious diseases conducted at medical institutions or the like include, for example, PCR (Polymerase Chain Reaction) tests, antigen tests, antibody tests, and diagnostic imaging. For example, a server computer, a personal computer, or the like can be used as the test result management server 8.

[0032] The terminal device 2 receives the user's vital sign information from the measurement device 3 via wired or wireless communication. The terminal device 2 also receives test results indicating whether the user is infected with an infectious disease from the home testing device 4 via wired or wireless communication. If the received test results indicate a positive result, the terminal device 2 may make an appointment for a medical examination with an external device (not shown) installed at a medical institution or send an infection notification to an external device (not shown) installed at a public health center.

[0033] The terminal device 2 also receives a contact notification from the contact history management server 6 via the network 9, indicating that the user may have come into contact with a person infected with COVID-19. The terminal device 2 also uses GPS (Global Positioning System), Wi-Fi (registered trademark), etc. to collect and associate user location information with time information indicating the time when the user was present at the location indicated by the location information (see FIG. 6).

[0034] The terminal device 2 also transmits the above-mentioned location information, time information, vital sign information, infectious disease test results, contact notification, etc. to the information processing device 10 via the network 9. The terminal device 2 is a device configured to include a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), etc. Examples of the terminal device 2 that can be used include a smartphone, a personal computer, a tablet terminal, and a wearable terminal.

[0035] Here, the characteristics of COVID-19 will be explained with reference to Figure 2. Figure 2 is a schematic diagram showing an example of the changes over time in heart rate variability (HRV), internal virus load, and virus excretion volume of a COVID-19 infected person. In Figure 2, heart rate variability is shown as a solid line, internal virus load as a dashed-dotted line, and virus excretion volume as a broken line. The horizontal axis of Figure 2 represents the day of onset, when the infected person becomes aware of symptoms such as fever and cough, as day 0, with days after onset indicated as positive and days before onset indicated as negative.

[0036] Heart rate variability is a value that represents the fluctuation of the time interval between heartbeats (RRI: RR interval). Specifically, heart rate variability is expressed as the standard deviation of the RRI (SDNN: Standard Deviation of the RR interval) over a predetermined period and / or the root mean square of the difference between two consecutive RRIs (rMSSD: root Mean Square of Successive RR interval Differences), etc.

[0037] As shown in Figure 2, the amount of virus excreted by a COVID-19 infected person (i.e., the degree of infectivity to others) increases sharply several days before the onset of symptoms and peaks before the onset of symptoms. In other words, COVID-19 is characterized by its highest infectivity to others during the incubation period between infection and onset of symptoms. It is also known that some COVID-19 infected people are asymptomatic pathogen carriers who do not develop symptoms even after infection. However, even asymptomatic pathogen carriers may be infectious to others.

[0038] On the other hand, as shown in Figure 2, in COVID-19 infected individuals, the amount of virus in the body peaks several days after the onset of symptoms. Therefore, even if tests using the home test device 4 or PCR and antigen tests are performed at medical institutions during the incubation period or immediately after the onset of symptoms, the test results may be negative (so-called false negatives).

[0039] Furthermore, as shown in Figure 2, COVID-19 infected individuals are characterized by an abnormal tendency for heart rate variability to decrease during the incubation period. This is because, while non-infected individuals experience heart rate fluctuations such as an increase in heart rate during exercise or stress and a decrease in heart rate during relaxation, infected individuals experience poor heart rate tracking, resulting in a smaller increase or decrease in heart rate. Heart rate variability then reaches a minimum around the day of onset and gradually returns to normal over the course of several days. This abnormal tendency in heart rate variability can also be seen in asymptomatic pathogen carriers and infected individuals with false-negative test results.

[0040] As described above, COVID-19 infected individuals tend to exhibit abnormal heart rate variability. Utilizing this, the information processing device 10 according to this embodiment detects individuals at risk of infection, including those who are unaware of symptoms related to the infectious disease, such as those infected during the incubation period and asymptomatic pathogen carriers, as well as those infected with a false-negative test result. The information processing device 10 also identifies and maps risky locations where individuals at risk of infection may have been infected by others or may infect others. "Mapping" refers to displaying risky locations on a map so that users can identify them (see FIG. 8).

[0041] Furthermore, if the test result obtained by the user's home testing device 4 is negative, the information processing device 10 will take into consideration the possibility that the result is a false negative and will notify the user of the timing for retesting with the home testing device 4 or at a medical institution. Therefore, the following explanation will be given on the assumption that the user who is the target of processing by the information processing device 10 has already performed a self-test using the home testing device 4. The detailed configuration of the information processing device 10 will be described below.

[0042] First, an example of the hardware configuration of an information processing device 10 according to this embodiment will be described with reference to Fig. 3. As shown in Fig. 3, the information processing device 10 includes a CPU 21, a non-volatile storage unit 22, and a memory 23 as a temporary storage area. The information processing device 10 also includes a display 24 such as a liquid crystal display, an input unit 25 such as a keyboard, a mouse, a touch panel, and buttons, and a network I / F (Interface) 26. The network I / F 26 communicates with the network 9 via a wired or wireless connection. The CPU 21, the storage unit 22, the memory 23, the display 24, the input unit 25, and the network I / F 26 are connected via a bus 28 such as a system bus and a control bus so as to be able to exchange various information with each other.

[0043] The storage unit 22 is realized by a storage medium such as a hard disk drive (HDD), a solid state drive (SSD), or a flash memory. The storage unit 22 stores an information processing program 27 for the information processing device 10. The CPU 21 reads the information processing program 27 from the storage unit 22, loads it into the memory 23, and executes the loaded information processing program 27. The CPU 21 is an example of a processor of the present disclosure. For example, a server computer, a personal computer, a smartphone, a tablet terminal, a wearable terminal, or the like can be appropriately applied as the information processing device 10.

[0044] Next, an example of the functional configuration of the information processing device 10 according to this embodiment will be described with reference to Fig. 4. As shown in Fig. 4, the information processing device 10 includes an acquisition unit 30, a determination unit 32, an identification unit 34, and a control unit 36. The CPU 21 executes the information processing program 27, causing the CPU 21 to function as the acquisition unit 30, the determination unit 32, the identification unit 34, and the control unit 36.

[0045] [Identifying risk locations for people at risk of infection] The acquisition unit 30 acquires the user's location information and vital sign information, as well as test results from the home testing device 4, from the terminal device 2 via the network 9. FIG. 5 shows an example of heart rate variability as an example of the user's vital sign information acquired by the acquisition unit 30. FIG. 5 is a diagram showing heart rate variability values ​​for each date, showing a progression similar to that of the heart rate variability in FIG. 2, with the onset date (day 0) in FIG. 2 corresponding to timing T3 in FIG. 5. The following description will be given assuming that the acquisition unit 30 acquires heart rate variability during the period from timing T0 to timing T2 in FIG. 5 (the solid line portion in FIG. 5). Timing T2 is, for example, the current time, and timing T0 is, for example, the same time five days before the current time. In other words, the acquisition unit 30 acquires heart rate variability for five days during the incubation period prior to timing T3, which corresponds to the onset date.

[0046] When the test result obtained by the acquisition unit 30 using the home testing device 4 indicates a negative result, the determination unit 32 determines whether the user is an at-risk individual who may be infected with an infectious disease, based on the vital sign information. For example, when the heart rate variability value obtained by the acquisition unit 30 is equal to or less than a predetermined threshold Xth at time T1, the determination unit 32 may determine that the heart rate variability is tending to be abnormal and determine that the user is an at-risk individual. Note that the determination unit 32 may also determine that the user is an at-risk individual when the heart rate variability value is equal to or less than the threshold Xth for a predetermined period of time, so as not to consider a temporary decrease in heart rate variability as an abnormal trend. That is, in this embodiment, an at-risk individual may be an individual who has been tested for an infectious disease and received a negative test result.

[0047] When the determination unit 32 determines that the user is an infection risk person, the identification unit 34 identifies an infection risk location where the user may have been infected by others or may have transmitted infection to others, based on the location information acquired by the acquisition unit 30, and stores the location in the memory unit 22. Examples of locations that could be "infection risk locations" include places where large numbers of people gather, such as restaurants, retail stores, and tourist spots.

[0048] FIG. 6 shows, as an example of user location information acquired by the acquisition unit 30, location information in chronological order for the period from timing T0 to timing T2, during which the above-mentioned heart rate variability was acquired. "No." is assigned in chronological order. As shown in FIG. 6, location information is provided with time information indicating the time when the user was present at the location indicated by the location information. Note that in the example of FIG. 6, location information is shown as a place name for ease of understanding, but location information may also be expressed by latitude and longitude, as well as predetermined identification information for each place. Also, in the example of FIG. 6, location information and time information during movement between locations are omitted for ease of understanding.

[0049] Specifically, the identification unit 34 identifies, as an infection risk location, a location where an infection risk person has been present for a predetermined period of time or longer, based on the location information and time information. In the "infection risk" column in Figure 6, locations identified as infection risk locations are indicated as "Yes," and locations that are not infection risk locations are indicated as "-."

[0050] For example, the identification unit 34 may identify a location where the user stayed for 30 minutes or more (90 minutes) as an infection risk location, as shown in "No. 3" in Fig. 6. Alternatively, for example, the identification unit 34 may identify a location where the user stayed for less than 30 minutes (10 minutes) as not an infection risk location, as shown in "No. 15" in Fig. 6.

[0051] The identification unit 34 may also change the level of infection risk when a location is identified as an infection risk location depending on the characteristics of the location. For example, as shown in "No. 3" and "No. 13" in FIG. 6, the identification unit 34 may determine that a restaurant is at a high infection risk when the restaurant is identified as an infection risk location. This is because restaurants are considered to pose a high infection risk because people tend to neglect infection prevention measures such as wearing masks while eating and drinking. For example, as shown in "No. 14" in FIG. 6, the identification unit 34 may also determine that a location other than a restaurant is at a low infection risk even when the location is identified as an infection risk location.

[0052] The identification unit 34 may also not identify a location as an infection risk location depending on the characteristics of the location. For example, as shown in "No. 12" in Fig. 6, the identification unit 34 may not identify an outdoor location such as a park as an infection risk location even if the stay time is longer than a predetermined period. For example, as shown in "No. 1" and "No. 2" in Fig. 6, the identification unit 34 may also not identify a location where only certain people stay, such as a home, workplace, or school, as an infection risk location.

[0053] [Follow-up of those at risk of infection] When the determination unit 32 determines that the user is an infection risk person, the control unit 36 ​​may send a notification to the terminal device 2 owned by the user recommending that the user continue monitoring the vital information. In this case, the CPU 21 may acquire the vital information that is being continuously monitored from the terminal device 2, and periodically determine whether the user is an infection risk person and identify infection risk locations based on the vital information.

[0054] Furthermore, when the determination unit 32 determines that the user is at risk of infection, the control unit 36 ​​may notify the terminal device 2 owned by the user of the timing of infectious disease testing based on the vital sign information. As shown in FIG. 2, for a COVID-19 infected person, the amount of virus in the body reaches its maximum approximately at the same time that the heart rate variability value reaches its minimum (i.e., indicates the most abnormal tendency), thereby improving the accuracy of infectious disease testing. Therefore, for example, the control unit 36 ​​may continue to monitor the heart rate variability and notify the user to conduct an infectious disease test when the heart rate variability falls below a predetermined threshold. Also, for example, the control unit 36 ​​may notify the user to conduct an infectious disease test a predetermined period of time after the time T1 when the heart rate variability value falls below a predetermined threshold Xth (e.g., 3 to 5 days after the time T1).

[0055] For example, the control unit 36 ​​may continue monitoring the heart rate variability, and if the heart rate variability returns to normal, the control unit 36 ​​may determine that the user is no longer at risk of infection and erase the infection risk locations identified for the user from the memory unit 22.

[0056] FIG. 7 shows an example of a screen D1 displayed on the display of the terminal device 2. The screen D1 includes a notification 92 from the control unit 36 ​​and a notification 94 including a graph showing heart rate variability values ​​up to the current time. The notification 92 includes a notification recommending continued monitoring of vital signs and a notification of the timing of infectious disease testing. By encouraging testing at the appropriate time in this way, accurate test results can be obtained for infected individuals during the incubation period, asymptomatic pathogen carriers, and infected individuals who were tested early in the infection process and received false negative test results, thereby contributing to preventing the spread of infectious diseases.

[0057] [Identifying risk locations for confirmed cases] If the test result obtained by the home testing device 4 acquired by the acquisition unit 30 indicates a positive result, the identification unit 34 identifies the infection risk location as a confirmed infection based on the location information and time information and stores the location in the memory unit 22.

[0058] Furthermore, if an infection risk person is later changed to a confirmed infection person, the CPU 21 changes the infection risk location for the confirmed infection person. Specifically, the acquisition unit 30 acquires the infectious disease test results of the user determined to be an infection risk person from the home testing device 4 or the test result management server 8. That is, as described above, the test results are obtained at the appropriate timing notified by the control unit 36.

[0059] When the test result acquired by the acquisition unit 30 for a user determined to be an infection risk person is positive, the identification unit 34 re-identifies the infection risk location identified for the user (i.e., the infection risk person) as an infection risk location of a confirmed infection person and stores it in the storage unit 22. On the other hand, when the test result acquired by the acquisition unit 30 for a user determined to be an infection risk person is negative, the identification unit 34 re-identifies the infection risk location identified for the user (i.e., the infection risk person) as not an infection risk location and deletes it from the storage unit 22.

[0060] The CPU 21 performs the above-described processing by the acquisition unit 30, determination unit 32, identification unit 34, and control unit 36 ​​for each of the multiple users. As a result, the memory unit 22 stores the latest information on infection risk locations for multiple infection risk individuals and the latest information on infection risk locations for multiple confirmed infection individuals.

[0061] [Mapping of infection risk locations] The control unit 36 ​​maps the infection risk locations identified for the infection risk individuals stored in the memory unit 22 in a manner that allows them to be distinguished from the infection risk locations previously identified for the individuals confirmed to be infected with the infectious disease. For example, when the infection risk locations are shown as figures on a map, the "distinguishable mapping" may be achieved by making the shapes, size, color, line type, etc. of the figures different for the individuals at risk of infection and those confirmed to be infected.

[0062] 8 shows an example of a screen D2 including a map 90 on which infection risk locations are mapped. Screen D2 is a screen that the control unit 36 ​​controls to be displayed on the display of the terminal device 2 when, for example, a request is received from the terminal device 2. As shown on the map 90, the control unit 36 ​​may map infection risk locations using different shapes for persons at risk of infection (illustrated as diamonds) and confirmed infected persons (illustrated as circles).

[0063] Furthermore, as shown on the map 90, the control unit 36 ​​may change the mapping format of the infection risk locations depending on the number of confirmed or at-risk individuals at each infection risk location. In this case, since the greater the number of individuals, the higher the risk of infection is considered to be, it is preferable to map the location with greater emphasis. In Figure 8, the greater the number of confirmed or at-risk individuals at each infection risk location, the darker the background color of the figure.

[0064] The control unit 36 ​​also updates the mapping every time the information on infection risk locations stored in the memory unit 22 is updated. For example, if the acquisition unit 30 acquires a test result indicating a positive result for a user determined to be an infection risk person, the control unit 36 ​​updates the mapping of infection risk locations identified for the user to a mapping of infection risk locations for confirmed infection people. Also, for example, if the acquisition unit 30 acquires a test result indicating a negative result for a user determined to be an infection risk person, the control unit 36 ​​cancels the mapping of infection risk locations identified for the user.

[0065] 8, the control unit 36 ​​may perform control to issue a warning 96 to the terminal device 2 when the user approaches an infection risk location based on the user's location information at the current time. This configuration allows the user to avoid infection risk locations, thereby contributing to preventing the spread of infectious diseases.

[0066] Next, the operation of the terminal device 2 according to this embodiment will be described with reference to Fig. 9. In the terminal device 2, the CPU executes an information processing program, thereby executing the terminal processing shown in Fig. 9. Execution of the terminal processing starts, for example, when a contact notification is received from the contact history management server 6 indicating that the user may have come into contact with a person infected with COVID-19 (corresponding to step S10).

[0067] In step S10, the terminal device 2 receives a contact notification from the contact history management server 6 indicating that the user may have come into contact with a person infected with COVID-19. In step S12, the terminal device 2 acquires the user's vital signs information from the measurement device 3. The terminal device 2 also acquires the user's location information and time information in association with each other. In step S14, the terminal device 2 receives the test results indicating whether the user is infected with an infectious disease from the home testing device 4 via wired or wireless communication.

[0068] In step S16, the terminal device 2 determines whether the test result received in step S14 is negative. If the test result is negative (i.e., if step S16 is Y), in step S18, the terminal device 2 transmits the test result indicating negative received in step S12, the vital information acquired in step S14, and the location information with time information attached to it to the information processing device 10, and ends this terminal processing.

[0069] On the other hand, if the test result is positive (i.e., if step S16 is N), in step S20, the terminal device 2 transmits the test result indicating positive received in step S12 and the location information with the time information acquired in step S14 to the information processing device 10. In step S22, the terminal device 2 makes an appointment for a medical examination with an external device installed in the medical institution, and ends this terminal processing.

[0070] Next, the operation of the information processing device 10 according to this embodiment will be described with reference to Fig. 10. In the information processing device 10, the CPU 21 executes the information processing program 27, thereby executing the mapping process shown in Fig. 10. The mapping process is executed, for example, when a user issues an instruction to start execution via the input unit 25.

[0071] In step S40, the acquisition unit 30 acquires the test result obtained by the user's home testing device 4 and location information accompanied by time information from the terminal device 2 (corresponding to step S20). In addition, the acquisition unit 30 may also acquire vital sign information (corresponding to step S18). In step S42, the determination unit 32 determines whether the test result obtained in step S40 indicates a negative result.

[0072] If the test result acquired in step S40 is negative (i.e., if step S42 is Y), in step S44, the determination unit 32 determines whether the user is an infection risk person based on the vital information acquired in step S40. If the user is an infection risk person (i.e., if step S44 is Y), in step S46, the identification unit 34 identifies an infection risk location based on the location information acquired in step S40, and stores it in the memory unit 22 as an infection risk location of the infection risk person.

[0073] In step S48, the control unit 36 ​​performs mapping so as to distinguish between the infection risk locations identified for the infection risk individuals stored in the storage unit 22 and the infection risk locations identified for the confirmed infection individuals. In step S50, the CPU 21 executes the update process shown in Fig. 11 and ends this mapping process. On the other hand, if the user is not an infection risk individual (i.e., if step S44 is N), this mapping process ends immediately.

[0074] On the other hand, if the test result acquired in step S40 is positive (i.e., if step S42 is N), in step S56, the identification unit 34 identifies an infection risk location based on the location information acquired in step S40 and stores it as an infection risk location of the confirmed infection person in the memory unit 22. In step S58, the control unit 36 ​​maps the infection risk locations identified for the infection risk person stored in the memory unit 22 so that they can be distinguished from the infection risk locations identified for the confirmed infection person, and ends this mapping process.

[0075] Next, the update process corresponding to step S50 will be described with reference to Fig. 11. That is, the update process is a process executed when the user is determined to be an infection risk individual. In the information processing device 10, the CPU 21 executes the information processing program 27, thereby executing the update process shown in Fig. 11.

[0076] In step S60, the control unit 36 ​​notifies the terminal device 2 to recommend that it continue monitoring the vital information. In step S62, the acquisition unit 30 acquires the vital information being continuously monitored from the terminal device 2. In step S64, the determination unit 32 determines whether the vital information indicates an abnormal trend, based on the vital information acquired in step S62.

[0077] If the vital information indicates an abnormal trend (i.e., if step S64 is Y), in step S66, the control unit 36 ​​notifies the terminal device 2 of the timing of an infectious disease test. In step S68, the acquisition unit 30 acquires the infectious disease test results of the user determined to be at risk of infection from the home testing device 4 or the test result management server 8. In other words, these test results are the results of the test conducted at the timing of the test notified in step S66.

[0078] In step S70, the determination unit 32 determines whether the test result acquired in step S68 indicates a positive result. If the test result indicates a positive result (i.e., step S70 is Y), in step S72, the identification unit 34 updates the information stored in the memory unit 22 so as to re-identify the infection risk locations identified for the user as infection risk locations for a confirmed infected person. In step S74, the control unit 36 ​​maps the infection risk locations identified for the infection risk person stored in the memory unit 22 after the update in step S72 so as to be distinguishable from the infection risk locations identified for the confirmed infected person, and terminates this update process.

[0079] On the other hand, if the vital information does not indicate an abnormal trend and is normal (i.e., if step S64 is N), and if the test result indicates a negative result (i.e., if step S70 is N), the process proceeds to step S82. In step S82, the identification unit 34 re-identifies the infection risk location identified for the user as not being an infection risk location, and cancels the information stored in the memory unit 22. In step S84, the control unit 36 ​​performs a distinguishable mapping between the infection risk locations identified for the infection risk individuals stored in the memory unit 22 after cancellation in step S82 and the infection risk locations identified for the confirmed infection individuals, and ends this update process.

[0080] As described above, an information processing device 10 according to a preferred embodiment of the present disclosure includes at least one processor. The processor acquires location information and vital sign information of a user and determines whether the user is an infection risk person who may be infected with an infectious disease based on the vital sign information. If the processor determines that the user is an infection risk person, the processor identifies infection risk locations where the user may have been infected by others or may have transmitted the infection to others based on the location information, and maps the infection risk locations identified for the infection risk person in a manner that allows them to distinguish from infection risk locations previously identified for people confirmed to be infected with the infectious disease. In other words, the information processing device 10 according to this embodiment can map infection risk locations of infection risk people, thereby contributing to preventing the spread of infectious diseases.

[0081] In the above embodiment, the terminal processing (see FIG. 9) in the terminal device 2 is described as being executed when a contact notification is received from the contact history management server 6 indicating that the user may have come into contact with a person infected with COVID-19. This means that the mapping processing shown in FIG. 10 is executed for users who have a history of contact with a person confirmed to be infected with the infectious disease. In this case, the processing amount can be reduced compared to when the mapping processing shown in FIG. 10 is executed for all users. However, the technology disclosed herein is applicable even if the user is not likely to have come into contact with a person infected with COVID-19.

[0082] In the above embodiment, the user targeted for processing by the information processing device 10 has already undergone a self-test using the home testing device 4, but this is not limiting. The information processing device 10 can also target users who have not been tested for infection with an infectious disease and whose infection status is unknown. In this case, too, the determination unit 32 determines that the user is at risk of infection if there is a possibility of infection with an infectious disease based on the vital sign information.

[0083] In the above embodiment, the identifying unit 34 identifies the infection risk location of the confirmed infected person, but this is not limiting. The infection risk location of the confirmed infected person may be identified in advance in an external server (not shown) that manages the behavioral history of the confirmed infected person, and the acquiring unit 30 may acquire the infection risk location from the external server via the network 9.

[0084] In the above embodiment, the determination unit 32 determines whether the user is at risk of infection based on heart rate variability as an example of vital information. However, this is not limiting. For example, it is known that COVID-19 infected individuals may have an elevated resting heart rate during the incubation period. Therefore, the determination unit 32 may determine whether the user is at risk of infection based on the resting heart rate as an example of vital information. For example, it is known that COVID-19 infected individuals may develop sleep apnea syndrome. Therefore, the determination unit 32 may determine whether the user is likely to have sleep apnea syndrome based on SpO2 as an example of vital information, and if there is a possibility of sleep apnea syndrome, determine the user as at risk of infection. For example, the determination unit 32 may determine whether the user is at risk of infection by appropriately combining these multiple types of vital information.

[0085] In the above embodiment, the identification unit 34 identifies a location where a risk-of-infection individual has been present for a predetermined period of time or longer as an infection risk location. However, this predetermined period can be changed as appropriate. For example, the identification unit 34 may identify a risk-of-infection individual who is not wearing a mask as an infection risk location if the location is for a shorter period of time than a risk-of-infection individual who is wearing a mask. In this case, the identification unit 34 may determine whether the risk-of-infection individual is wearing a mask by analyzing video images captured by a camera. Also, for example, the identification unit 34 may identify a restaurant as an infection risk location if the location is for a shorter period of time than other locations.

[0086] Furthermore, in the above embodiment, the identification unit 34 identifies an infection risk location on a building-by-building basis based on the user's location information (see FIG. 6 ). However, this is not limiting. For example, the identification unit 34 may identify an infection risk location on a tool and equipment-by-equipment basis that an unspecified number of people may come into contact with. Examples of such tools and equipment include benches, public restrooms, playground equipment in parks, and ATMs (Automatic Teller Machines). In this case, the identification unit 34 may identify tools and equipment that an infection risk person has come into contact with as an infection risk location by analyzing video images captured by a camera and by known contact detection methods using EM-Sense, beacons, etc.

[0087] In the above embodiment, the control unit 36 ​​may also send a notification recommending cleaning of the infection risk location. In this case, the notification destination may be, for example, an external device owned by a management company or cleaning company of the location, which is predetermined for each location that may be an infection risk location. In this manner, prompt cleaning can be recommended, which contributes to preventing the spread of infectious diseases.

[0088] Furthermore, in the above embodiment, the control unit 36 ​​changes the mapping format of the infection risk location depending on the number of confirmed infected individuals and at-risk infected individuals (see FIG. 8 ). However, this is not limiting. For example, the control unit 36 ​​may change the mapping format of the infection risk location depending on the amount of time that has elapsed since the time the at-risk infected individual was present at the infection risk location to the current time, based on time information. It is known that the incubation period for COVID-19 is often approximately five days, with a maximum of 14 days. Therefore, the control unit 36 ​​may highlight and map the at-risk infected individual when the amount of time that has elapsed since the time the at-risk infected individual was present at the infection risk location to the current time is between 0 and 5 days. Furthermore, the control unit 36 ​​may cancel the mapping if the amount of time that has elapsed since the time the at-risk infected individual was present at the infection risk location to the current time exceeds 14 days.

[0089] Furthermore, for example, the control unit 36 ​​may change the form of mapping of infection risk locations depending on whether the infection risk locations have been cleaned, such as by mapping uncleaned infection risk locations with more emphasis than cleaned infection risk locations. Furthermore, for example, the control unit 36 ​​may change the form of mapping of infection risk locations depending on the length of time during which vital signs of an infection risk person have shown an abnormal tendency.

[0090] For example, the control unit 36 ​​may map the risk locations of at-risk individuals more emphatically than those of confirmed individuals. This is because, as shown in Figure 2, the infectiousness of COVID-19 to others peaks before an infected individual develops symptoms. In other words, at-risk individuals are considered to be more infectious to others than confirmed individuals.

[0091] For example, the control unit 36 ​​may change the mapping format of the infection risk locations depending on whether the infection risk individuals are wearing masks, such as by highlighting the infection risk locations of the infection risk individuals who are not wearing masks. In this case, the control unit 36 ​​may determine whether the infection risk individuals are wearing masks by analyzing video images captured by a camera. For example, the identification unit 34 may identify the infection risk location as an infection risk location for the infection risk individuals who are not wearing masks, even if they stayed there for a shorter period of time.

[0092] In each of the above embodiments, the following various processors can be used as the hardware structure of processing units that perform various processes, such as the acquisition unit 30, the determination unit 32, the identification unit 34, and the control unit 36. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as various processing units, as well as dedicated electrical circuits that are processors having a circuit configuration specifically designed to perform specific processes, such as a programmable logic device (PLD), a processor whose circuit configuration can be changed after manufacture, such as an FPGA (Field Programmable Gate Array), and an ASIC (Application Specific Integrated Circuit).

[0093] A single processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, multiple processing units may be configured with a single processor.

[0094] Examples of configuring multiple processing units with a single processor include, first, a form in which one processor is configured with a combination of one or more CPUs and software, and this processor functions as multiple processing units, as typified by computers such as client and server. Second, a form in which a processor is used to realize the functions of the entire system including multiple processing units with a single IC (Integrated Circuit) chip, as typified by systems on chips (SoCs). In this way, various processing units are configured using one or more of the above-mentioned various processors as a hardware structure.

[0095] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements.

[0096] In addition, in each of the above embodiments, the information processing program 27 is described as being pre-stored (installed) in the storage unit 22, but this is not limiting. The information processing program 27 may be provided in a form recorded on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD-ROM (Digital Versatile Disc Read Only Memory), or a USB (Universal Serial Bus) memory. The information processing program 27 may also be downloaded from an external device via a network. Furthermore, the technology of the present disclosure extends to not only information processing programs but also storage media that non-temporarily store information processing programs.

[0097] The technology of the present disclosure can also be combined as appropriate with the above-described exemplary embodiments. The above-described description and illustrations are detailed descriptions of the parts related to the technology of the present disclosure and are merely examples of the technology of the present disclosure. For example, the above description of the configuration, function, action, and effect is an example of the configuration, function, action, and effect of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or new elements may be substituted in the above-described description and illustrations, within the scope of the gist of the technology of the present disclosure. [Explanation of symbols]

[0098] 1. Information Processing Systems 2. 2A~2B Terminal Device 3, 3A~3C measuring device 4, 4A~4C home inspection equipment 6 Contact history management server 8. Test result management server 9 Network 10. Information processing equipment 21 CPU 22 Memory section 23 Memory 24 displays 25 Input section 26 Network I / F 27 Information Processing Program 28 Bus 30 Acquisition Department 32 Judgment section 34 Specific part 36 Control Unit 90 Map 92, 94 notification 96 Warning D1, D2 screen

Claims

1. at least one processor; The processor: acquiring location information of a user, the location information being provided with time information indicating a time when the user was present at the location indicated by the location information, and vital information; determining whether the user is an infection risk person who may be infected with an infectious disease based on the vital information; If the user is determined to be an infection risk person, an infection risk location where the user has been infected by another person or is likely to infect another person is identified based on the location information and the time information; The infection risk locations identified for the infection risk individuals and the infection risk locations previously identified for the confirmed infection individuals are mapped in a manner that allows them to be distinguished from each other. Information processing device.

2. The person at risk of infection is a person who is unaware of symptoms related to the infectious disease. The information processing device according to claim 1 .

3. The person at risk of infection is a person who has been tested for the infectious disease and whose test result was negative.

3. The information processing device according to claim 1.

4. The person at risk of infection is a person who has had contact with a person confirmed to be infected with the infectious disease. The information processing device according to any one of claims 1 to 3.

5. The processor: Based on the location information and the time information, a location where the infection risk person has been present for a predetermined period of time or longer is identified as the infection risk location for the infection risk person. The information processing device according to any one of claims 1 to 4.

6. The processor: Based on the time information, the form of mapping of the infection risk location identified for the infection risk person is changed according to the elapsed time from the time when the infection risk person was present at the infection risk location to the current time. The information processing device according to any one of claims 1 to 5.

7. The processor: Obtaining the results of a test on the infectious disease of the user determined to be at risk of infection; If the test result is positive, update the mapping of the identified risk locations for the user to a mapping of the risk locations for the confirmed infected person. The information processing device according to any one of claims 1 to 6.

8. The processor: Obtaining the results of a test on the infectious disease of the user determined to be at risk of infection; If the test result is negative, cancel the mapping of the infection risk location identified for the user. The information processing device according to any one of claims 1 to 7.

9. The processor: If the user is determined to be at risk of infection, it is recommended that the user continue monitoring the vital signs. The information processing device according to any one of claims 1 to 8.

10. The processor: If the user is determined to be at risk of infection, the timing of testing for the infectious disease is notified based on the vital information. The information processing device according to any one of claims 1 to 9.

11. The processor: It is recommended to clean the above-mentioned areas where there is a risk of infection. The information processing device according to any one of claims 1 to 10.

12. The processor: Based on the location information, a warning is issued when the user approaches the infection risk location. The information processing device according to any one of claims 1 to 11.

13. The vital information indicates at least one of heart rate variability, heart rate, and arterial blood oxygen saturation. The information processing device according to any one of claims 1 to 12.

14. The processor: When a contact notification indicating that the user may have come into contact with the confirmed infected person is received in a terminal device owned by the user, the location information and the vital information transmitted from the terminal device are acquired. The information processing device according to any one of claims 1 to 13.

15. acquiring location information of a user, the location information being provided with time information indicating a time when the user was present at the location indicated by the location information, and vital information; determining whether the user is an infection risk person who may be infected with an infectious disease based on the vital information; If the user is determined to be an infection risk person, an infection risk location where the user has been infected by another person or may infect another person is identified based on the location information and the time information; The infection risk locations identified for the infection risk individuals and the infection risk locations previously identified for the confirmed infection individuals are mapped in a manner that allows them to be distinguished from each other. An information processing method in which processing is performed by a computer.

16. acquiring location information of a user, the location information being provided with time information indicating a time when the user was present at the location indicated by the location information, and vital information; determining whether the user is an infection risk person who may be infected with an infectious disease based on the vital information; If the user is determined to be an infection risk person, an infection risk location where the user has been infected by another person or is likely to infect another person is identified based on the location information and the time information; The infection risk locations identified for the infection risk individuals and the infection risk locations previously identified for the confirmed infection individuals are mapped in a manner that allows them to be distinguished from each other. An information processing program that causes a computer to execute a process.

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