Infection Risk Countermeasure Effectiveness Calculation System

Abstract

This contagion risk countermeasure effectiveness calculation system (10) comprises: a physical condition detection unit (11) that detects the physical condition of a visitor (P) at a facility (100); a determination unit (12) that determines whether or not the visitor (P) is unwell on the basis of the detection result of the physical condition detection unit (11) and that prohibits the entry of visitors (P) with determination results indicating unwellness into the facility (100); a recording unit (16) that records the number of visitors (P) over a prescribed period of time and the determination result for each visitor (P); and a calculation unit (17) that, for an assumed situation where visitors (P) determined to be unwell had entered the facility (100), calculates the effectiveness of a countermeasure against contagion on the basis of the number of said visitors (P) determined to be unwell.

Description

Technical Field

[0001] The present invention relates to an infection risk countermeasure effectiveness calculation system to .

Background Art

[0002] Techniques for visualizing the spread of infectious diseases such as influenza have been proposed. For example, Patent Document 1 discloses a technique for specifying the strength of the relationship regarding infection between rooms and the direction of infection between rooms based on human infection information and movement information between human rooms, and associating information indicating the strength of the relationship regarding infection between the specified rooms with information indicating the direction of infection between the specified rooms and displaying them on a map.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, grasping the effectiveness of countermeasures against infectious diseases has been demanded from the viewpoint of improving the risk management of infectious diseases.

[0005] The present invention aims to provide an infection risk countermeasure effectiveness calculation system that can allow a user to grasp how much the risk of an infectious disease has been reduced when countermeasures against the infectious disease are taken compared to when no countermeasures are taken. into

Means for Solving the Problems

[0006] The infection risk countermeasure effectiveness calculation system according to one aspect of the present invention includes a physical condition detection unit that detects the physical condition of visitors to a facility, a determination unit that determines whether a visitor has a poor physical condition based on the detection result of the physical condition detection unit, and prohibits entry to the facility for visitors whose determination result indicates a poor physical condition, a storage unit that stores the number of visitors per predetermined time and the determination result of each visitor, and a calculation unit that calculates the effectiveness of countermeasures against infectious diseases based on the number of visitors determined to have a poor physical condition, assuming that a visitor determined to have a poor physical condition has entered the facility.

Effect of the Invention

[0008] The infection risk countermeasure effectiveness calculation system according to one aspect of the present invention can allow the user to grasp how much the risk of infectious diseases has been reduced when countermeasures against infectious diseases are not taken and when they are taken.

Brief Description of the Drawings

[0009]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Mode for Carrying Out the Invention

[0010] Hereinafter, embodiments will be specifically described with reference to the drawings. Note that all of the embodiments described below show comprehensive or specific examples. The numerical values, shapes, materials, components, arrangement positions and connection forms of the components, steps, order of steps, etc. shown in the following embodiments are merely examples and are not intended to limit the present invention. In addition, among the components in the following embodiments, the components not described in the independent claims are described as optional components.

[0011] Note that each figure is a schematic diagram and is not necessarily drawn precisely. Also, in each figure, the same reference numerals are given to substantially the same configurations, and duplicate descriptions may be omitted or simplified.

[0012] (Embodiment) [Configuration] FIG. 1 is a schematic diagram showing an example of the installation mode of an infection risk countermeasure effectiveness calculation system according to an embodiment. FIG. 1 is a view from above of the location where the infection risk countermeasure effectiveness calculation system 10 is installed in the facility 100. As shown in FIG. 1, the infection risk countermeasure effectiveness calculation system 10 is communicably connected to a plurality of surveillance cameras 201 and 202 provided in the facility 100. The infection risk countermeasure effectiveness calculation system 10 has a physical condition detection unit 11 for detecting the physical condition of the visitor P to the facility 100. The physical condition detection unit 11 is, for example, a thermal camera, and is arranged near the entrance of the facility 100 so as to be able to detect the body temperature of the visitor P who is about to enter the facility 100. Although details will be described later, the infection risk countermeasure effectiveness calculation system 10 determines whether or not the visitor P is in poor physical condition based on the detection result of the physical condition detection unit 11.

[0013] At the entrance of the facility 100, an opening / closing gate 110 is arranged. When the visitor P is determined to be in poor physical condition by the infection risk countermeasure effectiveness calculation system 10, the gate 110 is closed, and when it is determined that the physical condition is not poor, the gate 110 is opened. Thus, even if the visitor P determined to be in poor physical condition tries to enter the facility 100, the gate 110 is closed, so that the entry of the visitor P determined to be in poor physical condition can be restricted.

[0014] Hereinafter, the visitor P determined to be in poor physical condition is referred to as a person in poor physical condition, and the visitor P determined not to be in poor physical condition is referred to as a healthy person. A person in poor physical condition may carry bacteria or viruses that cause infectious diseases, but if the entry of a person in poor physical condition into the facility 100 is restricted, the infection risk of infectious diseases in the facility 100 can be reduced. That is, in the present embodiment, as a countermeasure against infectious diseases, the entry of a person in poor physical condition into the facility 100 is restricted.

[0015] Hereinafter, the specific configuration of the infection risk countermeasure effectiveness calculation system 10 will be described. FIG. 2 is a block diagram showing the functional configuration of the infection risk countermeasure effectiveness calculation system 10 according to the embodiment.

[0016] As shown in FIG. 2, the infection risk countermeasure effectiveness calculation system 10 includes a physical condition detection unit 11, a determination unit 12, a density acquisition unit 13, a mask detection unit 14, a disinfection work detection unit 15, a storage unit 16, a calculation unit 17, and a display unit 18, and these are electrically connected. The determination unit 12, the density acquisition unit 13, the mask detection unit 14, the disinfection work detection unit 15, the storage unit 16, the calculation unit 17, and the display unit 18 are attached to the outer wall surface near the gate 110 in a state of being stored in a single housing 19 (see FIG. 1). The determination unit 12, the density acquisition unit 13, the mask detection unit 14, the disinfection work detection unit 15, and the calculation unit 17 are realized by, for example, a microcomputer, but may also be realized by a processor. The storage unit 16 is realized by, for example, an HDD (Hard Disc Drive), but may also be realized by a semiconductor memory.

[0017] Based on the detection result of the physical condition detection unit 11, the determination unit 12 determines whether the visitor P is in poor physical condition, and prohibits the entry of the visitor in poor physical condition into the facility. Specifically, when the body temperature of the visitor P detected by the physical condition detection unit 11 is equal to or higher than a predetermined temperature (for example, 37.5°C), the determination unit 12 determines that the visitor is in poor physical condition, and when it is lower than the predetermined temperature, the determination unit 12 determines that the visitor is in good health. The determination unit 12 is electrically connected to the gate 110. When the determination unit 12 determines that the visitor is in poor physical condition, it outputs a closing instruction to the gate 110, and when it determines that the visitor is in good health, it outputs an opening instruction to the gate 110. Based on the instruction from this determination unit 12, the gate 110 performs an opening and closing operation.

[0018] The density acquisition unit 13 acquires the density of people in the facility 100. The density acquisition unit 13 is electrically connected to, for example, the surveillance camera 201 installed in the facility 10. The density acquisition unit 13 calculates (acquires) the density of people in the facility 100 based on the video in the facility 100 acquired from the surveillance camera 201. Specifically, the density acquisition unit 13 performs image processing on the video in the facility 100 to recognize the number of people currently present in the facility 100. Based on this number of people, the density of people in the facility 100 is calculated. As long as the density acquisition unit 13 can calculate the density of people in the facility 100, the calculation method can be any method. For example, if a counter for counting the number of people in the facility 100 is provided in the facility 100, it is also possible to calculate (acquire) the density of people in the facility 100 by obtaining the output result of the counter. In addition, the density of people in the facility 100 may be calculated by utilizing the position information sensor installed in the facility 100.

[0019] The mask detection unit 14 detects whether or not the visitor P is wearing a mask. The mask detection unit 14 is electrically connected to a surveillance camera 202 disposed near the entrance of the facility 100 so as to be able to photograph the visitor P who is about to enter the facility 100. The mask detection unit 14 detects whether or not the visitor P is wearing a mask based on the video image of the visitor P obtained from the surveillance camera 202. Specifically, the mask detection unit 14 performs image processing on the video image of the visitor P to detect whether or not the visitor P is wearing a mask. Note that any detection method may be used as long as the mask detection unit 14 can detect whether or not the visitor P is wearing a mask.

[0020] The disinfection work detection unit 15 detects whether or not the visitor P has performed disinfection work on himself / herself. Here, since the surveillance camera 202 also photographs the disinfectant provided near the entrance of the facility 100, the surveillance camera 202 can also photograph the operation of the visitor P disinfecting himself / herself with the disinfectant. The disinfection work detection unit 15 is electrically connected to the surveillance camera 202. The disinfection work detection unit 15 detects whether or not the visitor P has performed his / her own disinfection work based on the video image of the visitor P obtained from the surveillance camera 202. Specifically, the disinfection work detection unit 15 performs image processing on the video image of the visitor P to detect whether or not the visitor P has performed disinfection work on himself / herself. Note that any detection method may be used as long as the disinfection work detection unit 15 can detect whether or not the visitor P has performed disinfection work.

[0021] The storage unit 16 stores a computer program and the like. The storage unit 16 also stores the number of visitors per predetermined time and the determination results of each visitor, and stores the density acquired by the density acquisition unit 13, the detection result of the mask detection unit 14, and the detection result of the disinfection work detection unit 15. The storage unit 16 also stores the estimated number of close contacts estimated by the calculation unit 17 described later in association with the information of the facility 100 at the time of estimating the estimated number. The information of the facility 100 includes the spatial scale of the facility 100, the type of the facility 100, the layout of the facilities, etc. The spatial scale of the facility 100 includes the area and volume of the space. The type of the facility 100 includes, for example, the operation form of the facility 100 such as an office, a store, and a residence. The layout of the facility 100 includes the floor plan of the facility 100 and the arrangement of furniture, fixtures, etc. installed in the facility 100.

[0022] The calculation unit 17 calculates the measure effectiveness based on each information stored in the storage unit 16. Specifically, the calculation unit 17 calculates the measure effectiveness based on the number of people in poor health per predetermined time stored in the storage unit 16 assuming that a person in poor health has entered the facility 100.

[0023] For example, assume that the infection risk when a person in poor health has not entered the facility 100 is 0. The higher the number of people in poor health who have entered the facility 100, the higher the infection risk of the facility 100. The calculation unit 17 increases the infection risk by 1 every time the number of people in poor health increases by one. In reality, since a person in poor health has not entered the facility 100 and the infection risk remains 0, the cumulative number of infection risks calculated by the calculation unit 17 is the infection risk reduced by restricting the entry of a person in poor health, that is, the measure effectiveness.

[0024] Here, the calculation unit 17 may estimate the number of presumed close contacts for those in poor health and calculate the degree of countermeasure effectiveness including the estimated number. Specifically, the calculation unit 17 stores the average stay time per visitor P to the facility 100 and the average number of close contacts during that average stay time, and estimates the number of presumed contacts based on this average stay time and average number of close contacts. For example, when the average stay time is 3 hours and the average number of close contacts is 3 people, if it is assumed that one person in poor health enters the facility 100, the infection risk within those 3 hours is that the addition number 1 by one person in poor health and the addition number 3 by three close contacts are added to the cumulative number of infection risks (degree of countermeasure effectiveness). Here, the addition number by one person in poor health and the addition number by one close contact are set to the same value. However, depending on the infectious disease, it is also assumed that there may be a difference between the infection risk by a person in poor health and the infection risk by a close contact. Therefore, a difference may be set between the addition number by one person in poor health and the addition number by one close contact. For example, when the infection risk by a close contact is half compared to the infection risk by a person in poor health, the addition number by one person in poor health is set to 1, and the addition number by one close contact is set to 0.5.

[0025] Further, the calculation unit 17 may correct the estimated number of close contacts based on the density acquired by the density acquisition unit 13. Specifically, the calculation unit 17 increases the estimated number as the density increases.

[0026] Further, when the mask detection unit 14 detects that the visitor P is not wearing a mask, the calculation unit 17 may correct the estimated number of close contacts to increase it. Specifically, based on the detection result of the mask detection unit 14, the ratio of mask wearers to non-mask wearers within the facility 100 can be obtained. Since the infection risk increases just by not wearing a mask, the calculation unit 17 increases the estimated number of close contacts as the ratio of mask wearers decreases.

[0027] Further, when the sterilization work detection unit 15 detects that the visitor P has not performed the sterilization work, the calculation unit 17 may correct it so as to increase the estimated number of close contacts. Specifically, based on the detection result of the sterilization work detection unit 15, the ratio of the sterilization workers to the non-sterilization workers in the facility 100 can be obtained. Since the risk of infection increases as the sterilization work is not performed, the calculation unit 17 increases the estimated number of close contacts as the ratio of the sterilization workers decreases.

[0028] The display unit 18 is a display device such as a liquid crystal monitor that displays various information. Specifically, the display unit 18 displays the countermeasure effectiveness calculated by the calculation unit 17. FIG. 3 is a schematic diagram showing an example of the display of the countermeasure effectiveness on the display unit 18 according to the embodiment. In FIG. 3, a wall-mounted display device is used as the display unit 18, and this display unit 18 is displaying the countermeasure effectiveness.

[0029] Note that it is also possible to use a terminal (PC, smartphone, tablet terminal, etc.) held by a person as the display unit 18. FIG. 4 is a schematic diagram showing an example of the display when a tablet terminal is adopted as the display unit 18 according to the embodiment. In the display unit 18 of FIG. 4, in addition to the countermeasure effectiveness, information on each element used to calculate the countermeasure effectiveness is also displayed. Specifically, examples of each element include location, period, restricted entry number, estimated number of close contacts, and the like.

[0030] Further, as described above, since the display unit 18 is attached to the outer wall surface near the gate 110 while being stored in one housing 19, the visitor P can visually recognize the countermeasure effectiveness before entering the facility 100. Note that the display unit 18 may be arranged inside the facility 100.

[0031] [Method for Proposing Countermeasures against Infection Risk] Next, a method for proposing infection risk countermeasures according to the embodiment will be described. In the method for proposing infection risk countermeasures, based on the estimated number of people stored in the storage unit 16 and the information of the facility 100 at the time of estimating the estimated number of people, a condition for reducing the estimated number of people is obtained and proposed. Specifically, as shown in FIG. 2, the storage unit 16 is connected to the server device 300. The server device 300 accumulates the past estimated number of people from a plurality of facilities 100 and the information of the facility 100 associated with the estimated number of people. The server device 300 performs simulation or machine learning based on the accumulated data to obtain a condition that can reduce the estimated number of people in the facility 100. The server device 300, for example, obtains how at least one of the information of the facility 100 should be changed. More specifically, the server device 300 presents a modified example of the layout of the facility 100 that can reduce the estimated number of people. This presented content can be viewed not only on the display unit 18 but also on a terminal (PC, smartphone, tablet terminal, etc.) communicably connected to the server device 300. In this embodiment, the case where the server device makes a proposal is exemplified, but the infection risk countermeasure effectiveness calculation system 10 may make a similar proposal.

[0032] [Effects, etc.] As described above, the infection risk countermeasure effectiveness calculation system 10 according to the present embodiment includes a physical condition detection unit 11 that detects the physical condition of the visitor P to the facility 100, and based on the detection result of the physical condition detection unit 11, determines whether the visitor P is in poor physical condition, and a determination unit 12 that prohibits the entry of the visitor P with a determination result of poor physical condition into the facility 100, a storage unit 16 that stores the number of visitors P per predetermined time and the determination result of each visitor P, and a calculation unit 17 that calculates the countermeasure effectiveness against infectious diseases based on the number of visitors P determined to be in poor physical condition when it is assumed that the visitor P determined to be in poor physical condition has entered the facility 100.

[0033] According to this, the calculation unit 17 calculates the degree of countermeasure effectiveness against infectious diseases based on the number of visitors P determined to be in poor health when it is assumed that the visitor P determined to be in poor health has entered the facility 100. In this way, since the degree of countermeasure effectiveness indicates how much the risk of infectious diseases has been reduced when compared between the case where no countermeasures against infectious diseases are taken and the case where countermeasures are taken, it is possible to let the user grasp how much the risk of infectious diseases has been reduced by the infection control measures. Thereby, the safety level of the facility 100 can be provided to the user.

[0034] Further, when it is assumed that the visitor P determined to be in poor health has entered the facility 100, the calculation unit 17 estimates the estimated number of close contacts for the visitor P, and calculates the degree of countermeasure effectiveness including the estimated number.

[0035] According to this, since the calculation unit 17 calculates the degree of countermeasure effectiveness including the estimated number of close contacts for the visitor P, it is possible to obtain the degree of countermeasure effectiveness considering close contacts. Therefore, it is possible to let the user more accurately grasp how much the risk of infectious diseases has been reduced by the infection control measures.

[0036] Further, the calculation unit 17 estimates the estimated number based on the average number of close contacts during the average stay time per visitor P.

[0037] According to this, since the calculation unit 17 estimates the estimated number based on the average number of close contacts during the average stay number per visitor P, it is possible to obtain the estimated number of close contacts according to the past tendency of the facility 100. Thereby, the accuracy of the degree of countermeasure effectiveness can be further enhanced.

[0038] Further, the infection risk countermeasure effectiveness calculation system 10 includes a density acquisition unit 13 that acquires the density of people in the facility 100, and the calculation unit 17 corrects the estimated number based on the density acquired by the density acquisition unit 13.

[0039] According to this, the calculation unit 17 corrects the estimated number of people based on the density acquired by the density acquisition unit 13, so that the estimated number of people can be set according to the density within the facility 100. As a result, the accuracy of the countermeasure effectiveness can be further enhanced.

[0040] Further, the infection risk countermeasure effectiveness calculation system 10 includes a mask detection unit 14 that detects whether or not the visitor P is wearing a mask. When the mask detection unit 14 detects that the visitor P is not wearing a mask, the calculation unit 17 corrects the estimated number of people to increase it.

[0041] According to this, when the mask detection unit 14 detects that the visitor P is not wearing a mask, the calculation unit 17 corrects the estimated number of people to increase it, so that the estimated number of people can reflect the presence or absence of a mask. As a result, the accuracy of the countermeasure effectiveness can be further enhanced.

[0042] Further, the infection risk countermeasure effectiveness calculation system 10 includes a disinfection work detection unit 15 that detects whether or not the visitor P has performed disinfection work. When the disinfection work detection unit 15 detects that the visitor P has not performed disinfection work, the calculation unit 17 corrects the estimated number of people to increase it.

[0043] According to this, when the disinfection work detection unit 15 detects that the visitor P has not performed disinfection work, the calculation unit 17 corrects the estimated number of people to increase it, so that the estimated number of people can reflect the presence or absence of disinfection work. As a result, the accuracy of the countermeasure effectiveness can be further enhanced.

[0044] Further, the infection risk countermeasure effectiveness calculation system 10 includes a display unit 18 that displays the countermeasure effectiveness.

[0045] According to this, since the display unit 18 displays the countermeasure effectiveness, for example, the visitor P can visually recognize the countermeasure effectiveness. Therefore, the visitor P can grasp the safety of the facility 100.

[0046] In addition, the storage unit 16 stores by associating the estimated number of people with the information of the facility 100 at the time of estimating the estimated number of people.

[0047] According to this, since the storage unit 16 stores by associating the estimated number of people with the information of the facility 100 at the time of estimation, even after estimation, it is possible to analyze the transition or factors of the estimated number of people based on this information. In addition, since this information can be provided to customers, it can be used for consulting services.

[0048] The method for proposing infection risk countermeasures according to the present embodiment proposes by obtaining the conditions under which the estimated number of people decreases based on the estimated number of people and the facility information stored in the storage unit 16 of the infection risk countermeasure effect degree calculation system 10.

[0049] According to this, it is possible to propose the conditions under which the estimated number of people can be decreased in the facility 100. Therefore, it is possible to construct an environment more suitable for infection prevention measures within the facility 100.

[0050] (Other embodiments) Although the embodiments have been described above, the present invention is not limited to the above embodiments.

[0051] For example, the calculation unit 17 may acquire the schedule of the visitor P who has been determined to be in poor physical condition within the facility 100, and correct the estimated number of people based on the number of people scheduled for interviews included in the schedule. Specifically, the calculation unit 17 is communicably connected to an external schedule management device, and acquires the schedule of the person in poor physical condition whose entry is prohibited from the schedule management device. The calculation unit 17 corrects the estimated number of close contacts based on the number of people scheduled for interviews included in the schedule of the person in poor physical condition. Thereby, since it is possible to obtain the estimated number of people reflecting the number of people scheduled for interviews, the accuracy of the countermeasure effect degree can also be further enhanced.

[0052] In the above-described embodiment, a thermal camera was exemplified as the physical condition detection unit 11. However, the physical condition detection unit 11 may be anything as long as it can detect the physical condition of the visitor P. Other examples of the physical condition detection unit 11 include vital sensors and the like. Also, the physical condition of the visitor P may be detected by analyzing the images captured by the surveillance cameras 201 and 202 through image processing.

[0053] In the above-described embodiment, the case where the calculation unit 17 calculates the measure effectiveness based on the number of people with poor physical condition and the estimated number of close contacts with the people with poor physical condition was exemplified. However, the calculation unit 17 may calculate the measure effectiveness only from the number of people with poor physical condition.

[0054] Also, in the above-described embodiment, the infection risk countermeasure effectiveness calculation system 10 was realized by a plurality of devices, but it may be realized as a single device. The infection risk countermeasure effectiveness calculation system may be realized, for example, as a single device in which all components are stored in the housing 19. When the infection risk countermeasure effectiveness calculation system 10 is realized by a plurality of devices, the components (particularly, functional components) included in the infection risk countermeasure effectiveness calculation system 10 may be distributed among the plurality of devices in any manner.

[0055] Also, the infection risk countermeasure effectiveness calculation system may be realized by a server device. FIG. 5 is a block diagram when the infection countermeasure effectiveness calculation system 10A according to the embodiment is realized by a server device. For parts equivalent to those in the above-described embodiment, the same reference numerals are given and the description thereof is omitted. That is, the determination unit 12, the density acquisition unit 13, the mask detection unit 14, the disinfection work detection unit 15, and the calculation unit 17 are realized by a processor constituting the server device. Also, the storage unit 16 is realized by an HDD provided in the server device.

[0056] In addition, in the above-described embodiment, each component may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

[0057] Also, each component may be realized by hardware. For example, each component may be a circuit (or an integrated circuit). These circuits may constitute one circuit as a whole, or may be separate circuits respectively. Further, these circuits may be general-purpose circuits or dedicated circuits respectively.

[0058] Furthermore, the general or specific aspect of the present invention may be realized by a system, an apparatus, a method, an integrated circuit, a computer program, or a recording medium such as a computer-readable CD-ROM. Also, it may be realized by an arbitrary combination of a system, an apparatus, a method, an integrated circuit, a computer program, and a recording medium. For example, the present invention may be executed as an infection risk determination method executed by a computer such as an infection risk countermeasure effectiveness calculation system, or may be realized as a program for causing a computer to execute such an infection risk determination method. Further, the present invention may be realized as a computer-readable non-transitory recording medium on which such a program is recorded.

[0059] In addition, forms obtained by applying various modifications conceivable by those skilled in the art to each embodiment, or forms realized by arbitrarily combining the components and functions in each embodiment without departing from the spirit of the present invention are also included in the present invention.

Explanation of Reference Numerals

[0060] 10 Infection risk countermeasure effectiveness calculation system 11 Physical condition detection unit 12 Determination unit 13 Density acquisition unit 14 Mask detection unit 15 Sterilization operation detection unit 16 Memory unit 17 Calculation unit 18 Display unit 100 Facility P Visitor

Claims

1. A physical condition detection unit that detects the physical condition of visitors to the facility, Based on the detection result of the physical condition detection unit, a determination unit that determines whether the visitor is in poor physical condition, and prohibits entry into the facility for visitors whose determination result is poor physical condition, A storage unit that stores the number of visitors per predetermined time and the determination result of each visitor, A calculation unit that calculates the degree of countermeasure effectiveness against infectious diseases based on the number of visitors determined to be in poor physical condition, assuming that the visitor determined to be in poor physical condition has entered the facility. An infection risk countermeasure effectiveness calculation system.

2. The calculation unit, Assuming that the visitor determined to be in poor physical condition has entered the facility, estimates the estimated number of close contacts for the visitor, and calculates the degree of countermeasure effectiveness including the estimated number. The infection risk countermeasure effectiveness calculation system according to claim 1.

3. The calculation unit estimates the estimated number based on the average number of close contacts during the average stay time per visitor. The infection risk countermeasure effectiveness calculation system according to claim 2.

4. It is provided with a density acquisition unit that acquires the density of people in the facility, The calculation unit corrects the estimated number based on the density acquired by the density acquisition unit. The infection risk countermeasure effectiveness calculation system according to claim 2 or 3.

5. The calculation unit acquires the schedule of the visitor determined to be in poor physical condition within the facility, and corrects the estimated number based on the number of people scheduled for interviews included in the schedule. The infection risk countermeasure effectiveness calculation system according to any one of claims 2 to 4.

6. It is provided with a mask detection unit that detects whether or not the visitor is wearing a mask. When the mask detection unit detects that the visitor is not wearing a mask, the calculation unit corrects the estimated number of people to increase it. The infection risk countermeasure effectiveness calculation system according to any one of claims 2 to 5.

7. It is provided with a disinfection work detection unit that detects whether or not the visitor has performed disinfection work. When the disinfection work detection unit detects that the visitor has not performed disinfection work, the calculation unit corrects the estimated number of people to increase it. The infection risk countermeasure effectiveness calculation system according to any one of claims 2 to 6.

8. It is provided with a display unit that displays the countermeasure effectiveness. The infection risk countermeasure effectiveness calculation system according to any one of claims 2 to 7.

9. The storage unit stores the estimated number of people in association with the information of the facility at the time of estimating the estimated number of people. The infection risk countermeasure effectiveness calculation system according to any one of claims 2 to 8.

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