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WO2002061647A1 - Procede et systeme permettant d'afficher des informations relatives a une maladie infectieuse, et procede permettant d'accepter la demande d'analyse d'une maladie infectieuse - Google Patents

Procede et systeme permettant d'afficher des informations relatives a une maladie infectieuse, et procede permettant d'accepter la demande d'analyse d'une maladie infectieuse Download PDF

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Publication number
WO2002061647A1
WO2002061647A1 PCT/JP2001/000687 JP0100687W WO02061647A1 WO 2002061647 A1 WO2002061647 A1 WO 2002061647A1 JP 0100687 W JP0100687 W JP 0100687W WO 02061647 A1 WO02061647 A1 WO 02061647A1
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WO
WIPO (PCT)
Prior art keywords
infectious disease
information
screen
database
data
Prior art date
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Ceased
Application number
PCT/JP2001/000687
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English (en)
Japanese (ja)
Inventor
Hiroyuki Suzuki
Kenji Yasuda
Toshiaki Yokobayashi
Shinichi Fukuzono
Satoshi Takahashi
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Hitachi Ltd
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Hitachi Ltd
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Publication date
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Priority to JP2002561745A priority Critical patent/JPWO2002061647A1/ja
Priority to PCT/JP2001/000687 priority patent/WO2002061647A1/fr
Publication of WO2002061647A1 publication Critical patent/WO2002061647A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Definitions

  • the present invention relates to a widespread infectious disease control (control) method and system, that is, a widespread infectious disease information display method and system, and furthermore, to these methods.
  • control control
  • Japanese Unexamined Patent Publication No. 11-2566443 discloses a risk management system for infectious disease risk management based on a survey of the current state of the field. Because the time delay required for the survey and the limitations on the scope of the survey are problems, the aim is to estimate potential pathogenic emissions in advance, to speed up countermeasures and expand the scope of the survey.
  • a mapping system that manages watershed basin information should provide information on the location and scale of pathogenic sources that have the potential to release infectious disease pathogens within the basin. From the stored basin database and the information stored in the basin database, extract information on the pathogenic emission source that can reach a specified location designated in the river channel.
  • Pathogen source extraction means and diseases given in advance for each type of pathogen source The pathogen emission amount estimating means for estimating a potential pathogenic emission amount from the pathogenic emission source extracted by the pathogen emission source extracting means using the emission amount origin, and the pathogen emission amount estimating means.
  • An infectious disease risk distribution display means for displaying the potential pathogenic discharge amount superimposed on the digital map information stored in the basin database.
  • the present invention provides a method and system for displaying information on a widespread infectious disease suitable for epidemiological analysis of a widespread infectious disease, and a method for receiving a method for analyzing a widespread infectious disease. And local factors needed to identify the route of transmission when complex pathogens are becoming more widespread and factors due to common patient characteristics The purpose is to be able to distinguish factors caused by common characteristics of pathogens.
  • the present invention collects information on infectious diseases detected by medical institutions in the region, establishes hypotheses about the route of infection, and supports the process of verifying them. It provides a disease control system.
  • the infectious disease control system manages information on the outbreak status of infectious diseases and pathogens, and distributes them to doctors, nurses, and patients involved in infection prevention. Or information methods and systems for controlling or preventing the occurrence of infectious diseases by issuing information that is easily recognizable to the inhabitants of the status.
  • the term “wide area” means that information on infectious diseases not only within a specific medical institution but also from multiple medical institutions located in the region is aggregated, and information on infectious diseases is shared among medical institutions. This refers to the area covered by the system for disseminating information on the occurrence of infectious diseases in the region to local residents.
  • This system displays the onset of infectious disease on a map, assists in estimating and identifying the route of infection, and provides information on pathogens such as infectious disease patients and bacteria and viruses.
  • the present invention provides an information system suitable for epidemiological analysis of infectious diseases.
  • infectious disease control methods and systems In particular, by focusing on specific areas based on the distribution of infectious disease patients over a wide area, the time-series spread of infectious diseases and the occurrence of infectious diseases caused by multiple Provide a method and system suitable for analyzing and identifying the mechanism of infection by stratifying by factors such as living environment.
  • a medical institution that has facilities for testing infectious diseases, an infectious disease information center that centrally manages the results of infectious disease tests from medical institutions that conduct infectious disease tests in the region, and It consists of a communication network that connects the two to each other, and combines and displays information based on the location information of infectious disease patients on a map displayed based on the map information database.
  • a means was set up to send the information on the patient's location to the infectious disease information center.
  • a means was provided for displaying the map in association with the regional map.
  • a means was provided to compositely display the transportation route, river and other terrain, distribution routes, and the locations of infectious disease patients.
  • the data of the infectious disease patient is further classified according to those items.
  • a means for combining and displaying map information is provided.
  • a means for combining and displaying the set hypothesis information is provided.
  • Infectious disease information and map information can be used not only by public institutions such as health centers, but also by individual medical institutions to prevent infectious diseases and prepare medicines by predicting the spread of infectious diseases.
  • a means was provided to refer to the infectious disease data and map information data in the infectious disease information center from the terminal to which the communication network was connected.
  • Figure 1 is a block diagram of the widespread infectious disease control system.
  • Fig. 2 is a network configuration diagram.
  • Fig. 3 shows the configuration of the infectious disease inspection system and the network in the hospital.
  • Fig. 4 is a diagram of the infectious disease information management system at the infectious disease information center.
  • FIG. 5 is a diagram showing an example of a multidimensional data base for storing infectious disease test data.
  • Fig. 6 is a diagram showing an example of a table obtained by extracting data on infectious disease A from the infectious disease multidimensional database.
  • Fig. 7 is a flowchart of the overnight collection of infectious disease tests.
  • Fig. 8 is a flow chart of storing data in a multi-dimensional database.
  • Figure 9 is a flowchart of the online analysis using the infectious disease data.
  • Figure 10 is a flowchart of the infectious disease analysis order flow chart.
  • Fig. 11 is a control dialogue diagram of the infectious disease control system.
  • Fig. 12 is a display example of infectious disease information shown on a prefecture map.
  • Figure 13 is an example of a composite display of the infectious disease map information system and the hypothetical transmission route.
  • Fig. 14 is a time-series display example of the hypothetical transmission route.
  • FIG. 15 is a diagram showing an example of a result of stratified analysis by age.
  • Figure 16 is a diagram showing the geographical locations of railways and patients with infectious diseases.
  • Figure 17 is a map showing the roads and the geographical locations of patients with infectious diseases.
  • Figure 18 shows the geographical location of rivers and infectious disease patients.
  • Figure 19 shows the river flow and high risk areas.
  • Figure 20 shows the navigation route and the geographic location of infectious disease patients.
  • Figure 21 is a map showing the air routes and the geographical locations of infectious disease patients.
  • FIG. 1 shows a block diagram of an embodiment of the present invention.
  • the widespread infectious disease control system 100 consists of the infectious disease data wafer house system 1 and the analysis system 2, and Disease data (1)
  • a medical institution (3) such as a local hospital or laboratory is connected to the system 1 via a communication line.
  • the information or data from the infectious disease data system 1 and the analysis system is output to the analyst 4 for use.
  • the disease system 1 acquired by the medical institution 3 Enter the test information 6 for each patient, convert the data 7 and collect it in the infectious disease test database (multidimensional DB) 8 and store it.
  • the Infectious Disease Data System 1 assesses the association between data items obtained as time series data from Infectious Disease Test Data 8 It has a data mining engine 10 and a search engine 11, and the search engine 11 outputs correlation data for one factor of infectious disease, and provides the analyst 4 with the data. Output for analysis 12.
  • the data accumulated on the infectious disease inspection data base is used to narrow down and aggregate data by region.
  • the analysis system 2 has a map information database 15 and stores wide-area map information.
  • the analysis system 2 includes a screen display device 16.
  • the screen display device 16 displays the aggregated data of regional infectious diseases, map information, and further provisional setting information. can do .
  • narrowed down the data for each region and aggregated the information 9 and decrypted the aggregation conditions 18 The information about 18 and the information set for the hypothesis 19 were transmitted It is done.
  • the infectious disease data is further added to the composited screen, and a detailed display 20 is made.
  • the decryption information of the aggregation conditions is used to narrow down the data for each region and aggregate the data to construct the information.
  • the infectious disease-one factor correlation data output for 2 is first used for setting conditions 2 1, and the set conditions are used to decipher the aggregation conditions 1
  • the analyst from the composite display screen of the infectious disease summary data and map information of the region displayed on the screen, the source of the infection and the route of infection (In this case, the source of the infection is The hypothesis 22 is established, and the hypothesis setting 19 is performed in the analysis system 2.
  • the hypothetically set information is synthesized and displayed on the synthesized display screen described above.
  • the infectious disease data is further added to the composite display screen that incorporates the hypothesis setting information, and a screen configuration for a more detailed and detailed display 20 is created.
  • the analyst looks at this detailed display 20 and verifies the hypothesis, determines (judges) whether the hypothesis was correct or should be re-established, and in some cases is new. Display the hypothesis setting information on the screen and combine them.
  • the hypotheses need not be alone, but can be combined and combined.
  • the infectious disease diagnostic device is connected to the medical institution 3 which stores electronic in- strument data as electronic digital data via the communication network, and is connected via the communication network.
  • a medical institution 3 that collects information on the patient from the medical institution 3, information measured by an infectious disease diagnostic device, and a geographical information on the patient in a time-series manner.
  • a data mining engine 10 that evaluates the association between data items obtained as time-series data, and a search engine 11 The results can be displayed in stratified data from further different cuts.
  • the vehicle has a map information database, and is provided with geographic information associated with the infectious disease patient on a map displayed on the display based on the map information.
  • Infection that displays a figure displayed according to a search condition input and requested from a terminal connected to the communication network via the communication network, to the terminal via the communication network It can be used as a disease control system.
  • An infectious disease controller that combines and displays the designated landmarks (mountains, rivers, railroads, department stores, schools, school districts, town wards, etc.) on the displayed map information. Control system.
  • an infectious disease information center that centrally manages the results of infectious disease tests from medical institutions that have facilities for testing infectious diseases and medical institutions that conduct infectious disease tests in the region And a communication network that connects them to each other, and displays information based on the location information of the infectious disease patient on a map displayed based on the map information database.
  • a means is provided to send the infectious disease patient's attributes to the infectious disease patient's attributes and send it to the infectious disease information center.
  • the data of the infectious disease patient is stratified according to those items, and the map information is obtained. And means for synthesizing and displaying.
  • a data warehouse to create a multi-dimensional data base that is stratified by factors such as patient attributes and environment. Provide a means to express in real time the causes of infection and the status of the spread, or the results of tests reported by each medical institution.
  • Infectious disease information and map information can be used not only by public institutions such as health centers, but also by individual medical institutions to prevent infectious diseases and prepare medicines by predicting the spread of infectious diseases. For this reason, a means will be provided to refer to the infectious disease data and map information data in the infectious disease information center from the terminal to which the communication network is connected.
  • Figure 2 shows the network of organizations involved in the widespread infectious disease control system.
  • Figure 1 shows the configuration.
  • the related organizations are connected by a communication network 36, and each organization has a means for interacting with other organizations.
  • An example of a communication network is an Internet network.
  • a network that communicates with the IP protocol using a public line such as a DN may be used.
  • the hospital In addition to the infectious disease information center 311, the hospital also sends infectious disease information to the infectious disease information center 31 and the clinical laboratory center 35. And other medical institutions are connected. Institutions that use the infectious disease information gathered in the Infectious Disease Information Center 31 can be used by staff members within the Infectious Disease Information Center or by consultations at hospitals. It is assumed that a doctor will use the room, but a local health research institute 33 or a health center 32 may be connected.
  • Fig. 3 shows the configuration of the LAN 51 in the medical institution connected to the communication network 36, and the devices connected to it.
  • the LAN in the hospital is connected to the communication network via the gateway 50. This core LAN is accepted in the hospital.
  • test order information is input to the test ordering system 52 through a terminal, and is entered into the server 54 of the infectious disease information room.
  • the laboratory 44 performs a bacterial test or a virus test on a sample collected from a patient, and transfers the test tooth decay to a test information server in the infectious disease control room 43.
  • Bacterial or viral tests are analyzed using a variety of testing devices in contact with the hospital's LAN.
  • Inspection devices include Gram stain inspection device 61, Separation and culture inspection device 62, Bacterial identification inspection device 63, Blood culture inspection device 64, Genetic inspection device 65, Drug sensitivity inspection device 66, Bacteria storage There are a device 67 and an immunoassay device (not shown). Only some of these devices may be used, and the same You can use a number. In addition, these inspection devices do not necessarily need to be directly connected to the hospital LAN.For example, the inspection is performed as a stand-alone device. The test results are copied to a recording medium such as a floppy disk that has the device, and the information is connected to the hospital LAN. 4 or print the test results once the printer is installed in the test device, and then print the test results from the information equipment connected to the hospital LAN. May be stored in the examination information server by inputting the.
  • the test information server 54 installed in the infectious disease control room stores all the test information. In addition, it stores patient information, treatment information, accounting information, and the like.
  • Fig. 4 shows the system configuration of the infectious disease information center.
  • Infectious disease information center In the evening, a data buffer was used to store the test results sent from the hospital 49 and the laboratory test center 35. 2 and a map information database 15 and a computer 78 for infectious disease analysis are installed, and they are connected to each other by LAN 71 in Sendai. It is connected . Also, since LAN 71 is connected to communication network 36 through gateway 50, it can be obtained at hospital 49 or clinical laboratory center 35. You can receive the test data of the patient you have received, and send the data stored or generated in this center.
  • the database contains metadata, a database 74 for storing data and a release for managing information such as pathogens, hospitals, and testing centers.
  • Meta * data is a database used to clean data, and was measured using a dictionary of items called under different names or using a different method. Stores the data conversion method.
  • the relational database 76 stores hospital information, bacterial information, drug information, and the like. Hospital information consists of the location of the hospital, the department name, and the medical facilities. Bacterial information includes bacterial classification information, genetic information, drug resistance information, and image information. The drug information includes the method of use, resistant strains, etc.
  • the map information database 15 stores the map information of the districts that should be managed by the infectious disease information center.
  • the map information may include geographic features, rivers, railways, roads, roads, sea routes, air routes, schools, and other facilities, and school districts, and their positional relationships are recorded.
  • the infectious disease analysis computer 78 can display map information stored in the map information database on the screen. In addition, it is possible to specify a specific area on the displayed map information and enlarge it.However, the method of specifying the enlarged area is from the start point to the end point of the pointing device. It is possible to display the area where the lag and release are the end point, and the area where the start point and the end point are diagonal lines is adjusted to the size of the window.
  • Figure 5 shows an example of a multidimensional infectious disease database.
  • the test data shows the three-dimensional data of the region, occupation, and type of infectious disease, but actually three-dimensional data of the same structure is stored in chronological order.
  • the four-dimensional data which is the three-dimensional data plus the time axis, is stored.
  • a two-dimensional table 79 consisting of the region and the occupation is obtained as shown in Fig.6.
  • the multidimensional database can cut out tables arbitrarily not only on the Z axis of infectious disease but also on the regional axis and occupation axis.
  • Figure 7 shows the flow from the performance of the test to the storage of the test result in the data of the infectious disease information center 4 4 air house 72.
  • patient information is registered in the test ordering system 52, and test items corresponding to the symptoms are registered (A1).
  • the address is entered in the patient information, but as an alternative, the address of the workplace, school, or hospital where the infectious disease test is going to be performed A system that uses this is also conceivable.
  • the patient collects samples such as blood, urine, stool, and tissue according to the test items, and sends them to the infectious disease laboratory with the test item information (A2).
  • the infectious disease laboratory obtains the test item order information and the specimen, conducts a test using an appropriate infectious disease inspection device 25-1-7 (A3), and sends the test results to the test information server 24. Transfer (A4). Repeat A1 to A4 until the test is completed for all patients to be tested on that day (A5). When the examination has been completed for all patients, or at a specified time, such as at night when the examination for the day has been completed, the examination data for that day is sent from Hospital 4. The information is transferred to the infectious disease information center 1 via the communication network 36 (A6).
  • Test result data sent from Hospital 4 at Infectious Disease Information Center 1 The treatment of the evening will be described with reference to FIG.
  • test result data from a medical institution such as a hospital 49 or a clinical test center 35 is received from the communication network 36 (B1)
  • the sending hospital or communication protocol is received.
  • the data format is read from the call and determined (B2). This means that different medical institutions use different test equipment, and that the information systems and communication protocols are different, which means that the format of the data is important. May be different.
  • the data is interpreted by the meta data 74 and the data is converted using the data conversion / extraction tool 73 (B3), and FIG.
  • the test results are stored in the infectious disease database 8 shown in FIG.
  • Figure 9 shows the procedure for performing analysis using the infectious disease multidimensional database 35.
  • the area to be displayed is specified (C1), and the map information of the area is searched from the map information database 37 (C2).
  • search for infectious diseases in the region to be displayed from the multidimensional database (C3).
  • the pathogenesis data can be searched at a multidimensional data pace with one sequential access.
  • the retrieved infectious disease data is all data that satisfies the search conditions. Assuming that they will be included, if there are narrowing conditions such as the type of infectious disease, the occupation of the patient, and the region, the data will be tabulated in Step C4. Since there is information on the patient's address in the infectious disease data obtained in this way, they are combined into geographic information for each region (C5).
  • Color coding may be performed according to the numerical range, or bar graphs, pie graphs, plots of points of occurrence, etc. may be drawn near prefectures (C6).
  • a hypothesis is set, synthesized in addition to the synthesized map information, and further added with infectious disease data and displayed on a detailed screen for verification (C7).
  • Infectious disease data cannot be read from infectious disease data shown on the map
  • the process returns from step C8 to step C4 and returns to the tabulation processing (C4), the synthesis processing of infectious disease data and map information (C5), and the map information
  • the display (C6) will be repeated.
  • As a change in the aggregation method it is effective to perform grouping based on the genetic information of pathogens.
  • the additional display of map information (C9) is performed, and it is examined whether to change the displayed area (C10).
  • Adding map information assumed to be the route of infection to the map information of the infectious disease data in this way is effective in specifying the route of infection. For example, by showing the railway display and showing the plot of the residence of the infectious disease patient, the railway has some influence on the transmission of this infectious disease from the screen. This can be expected.
  • Widespread infectious disease information can be displayed in more detail by limiting the display area using a mouse or other pointing device (limited area) and enlarging it. Obtainable . (C10).
  • infectious disease data including infectious disease patient's occurrence geographical information and time-series information is stored in a database, and a (wide-area) map based on map information and a database are stored.
  • a (wide-area) map based on map information and a database are stored.
  • On the screen based on the geographical information of the infectious disease patients stored on the screen, and displays a combined infectious disease display that combines the hypothesized infection route on the screen.
  • the hypothetical route of infection is verified by using the infectious disease data stored in the database in a way such as adding, etc. (wide area)
  • a method for displaying infectious disease information is provided. Is
  • the database also provides a (wide) infectious disease information display method that stores multidimensional information such as occupation, age or DNA information of infectious disease patients.
  • a method for displaying infectious disease information that narrows down the hypothesis by referring to the evaluation of the relationship between multidimensional information is provided for the hypothesis of the infectious disease route.
  • the database of infectious disease data which includes information on the occurrence of infectious disease patients and time-series information, is stored in a database.
  • the origin of the infectious disease based on is displayed on the screen, and the screen displays a combined infectious disease display that combines the hypothesized infection route, and extends the hypothesized infection route to extend the screen.
  • a method for displaying infectious disease information on a screen (wide area) that displays an area including the infected route is provided.
  • a database that stores infectious disease data including information on the occurrence of infectious diseases and time-series information, a wide-area map, and an infectious disease patient's geography stored in the database
  • a screen display device for displaying on the screen the location information of the infectious disease patient based on the information; and an infectious disease synthesis display device for displaying a hypothetical infection route on the screen. (Wide area)
  • An infectious disease information display system will be provided.
  • a (wide-area) infectious disease information display system which has means for outputting infectious disease data on the screen.
  • a database for storing infectious disease data including the geographical information and time-series information on the occurrence of infectious disease patients, a wide-area map, and the occurrence of infectious disease patients stored in the database A screen display device for displaying on the screen the location information of the infectious disease patient based on the geographical information; and an infectious disease synthesis display device for displaying the hypothesized infection route on the screen.
  • the display device is provided with a (wide-area) infectious disease information display system that displays an area including an extended infection route on the hypothetical infection route on a screen.
  • a communication information collection device that collects infectious disease data of infectious disease patients owned by an external medical institution, and multidimensional data of infectious disease data obtained as time-series data Screen processing to display the data mining engine to evaluate the association, the search engine, and the searched results along with a wide-area map and the hypothesized infection route A (wide-area) infectious disease information display system comprising a display device and is provided.
  • Figure 10 shows the flow for receiving an order for infectious disease analysis.
  • the analysis method is the same as in the example shown in Fig. 9, and the analysis result is finally reported and the delivery and billing are performed for the customer (consignor) who ordered.
  • a wide-area map and information on the location of the infectious disease based on the geographical information of the occurrence of the infectious disease stored in the database are displayed on a screen.
  • a hypothetical infection route is synthesized by displaying the hypothesized infection route, and the hypothesized infection route is verified by using infectious disease data. This will provide a widespread infectious disease verification ordering method for paying orders.
  • a wide-area map and the location information of the infectious disease patient based on the geographical information of the infectious disease patient stored in the database are displayed on the screen, and the hypothesized infection is displayed on the screen.
  • the hypothetical route of infectious disease was verified by adding the infectious disease data to the infectious disease synthesis display that synthesized the route, and the hypothesized route of infectious disease was extended and extended.
  • a wide-area infectious disease verification ordering method is provided, in which the area including the infection route is displayed on the screen and the order is paid.
  • Fig. 11 shows an example of the screen display of the infection control.
  • the screen is divided into a map information display section 81 and an operation section 82 to analyze the distribution of infectious diseases.
  • the map information display section displays a map of the entire area managed by this system, and displays the distribution of infectious disease patients on top of it.
  • the area to be displayed can be enlarged and displayed in the area specified by the mouse, and the map is displayed according to the scale of the map.
  • Information volume of information Is increasing. For example, when displaying Japan as a whole, only information up to the border of prefectures is displayed, but the area to be displayed is narrower, such as by region, by prefecture, or by municipalities. Then, detailed information such as railway information, rivers, and buildings is adopted as hypothetical information.
  • the operation unit 82 is provided with a button 83 used for setting a hypothesis.
  • Temporary infection routes are selected and set, such as air routes, railways, highways, highways, highways, general roads, rivers, lakes, schools, school districts, factories, or weather conditions. Two or more may be set.
  • map information check box selects map information to be displayed on the map.
  • “high risk area display” that indicates the high risk areas where infectious diseases will spread in the future Button and a "Clear” button to return the map information to the initial display.
  • Figure 12 shows a combination of the Japanese archipelago 85 and the map information 86 stored in the map information database, and the prefectures 87, 88 with the highest numbers of infectious diseases. This is the displayed map.
  • the example shown in Fig. 9 is not clear on the drawing, but if the occurrence of infectious disease is below a certain rate, it will remain on a white background and the incidence will be more than that, below a certain standard In some cases, light gray color is used, and dark gray indicates prefectures that exceed the standard that is considered to be more frequent.
  • Fig. 13 is a map in which the rectangular area specified using the pointing device in Fig. 9 is enlarged and displayed. The boundaries of the prefectures are marked, and the provinces with the highest incidence of infectious diseases are hatched. In addition, a seal 89 is displayed at the residence of the patient where the infectious disease was detected.
  • the railway (tentatively the central line) 9 ⁇ is marked with a bold line, and by combining this with infectious disease information, what is the railway's route as an infectious disease transmission route? It is anticipated that this has played a role. In this way, railways are hypothesized as routes of infectious diseases.
  • Fig. 14 shows the composite of Fig. 13 in chronological order two months ago, one month ago, and now. This is the figure displayed side by side. This shows the aggregation of infectious disease data from C4 to C8 and a composite diagram with map information when executing the algorithm to generate Figure 13. This can be achieved by switching the data aggregation period to two months ago, one month ago, and the current time in the processing. By showing such a time-series distribution map, it can be seen that the infectious disease gradually spreads from along the railway to the surrounding area and then to the adjacent area. The route of infection is verified.
  • Figure 15 shows the infectious disease patients stratified by age and mapped on a map. The distribution of patients is widespread throughout the region, but if you are only an elementary school child from 6 to 12 years old, infectious disease patients are distributed mainly in elementary schools This makes it possible to hypothesize that this elementary school is the source of the infection.
  • the source of the infection is verified by adding the infection data as shown in Fig.14. This can be achieved by categorizing the data by age when executing the algorithm to generate Figure 15.
  • Fig. 16 to Fig. 18 show examples in which infectious disease information is displayed on a map of a certain municipality, and railroads, roads, and rivers are switched one after another.
  • Figure 16 shows railway and infectious disease patient locations
  • Figure 17 shows railway and infectious disease patients
  • Figure 18 shows river and infectious disease patients.
  • This is a diagram obtained by switching the check box of the operation unit shown in Fig. 11 to a railway, a general road, a river, a lake, or a marsh. This indicates that rivers and lakes are suspicious as a route of transmission of this infectious disease.
  • Figures 16 to 18 show areas not specified in the check boxes. Graphic information is also displayed. For example, even if the railway check box is selected, information on roads and rivers is displayed, and railways are displayed as bold lines. In this way, rather than selecting the information to be displayed, by cooperatively displaying it, it is clear what is suspected as an infection route, and at the same time, the relationship with other information. May be displayed so that they can be compared.
  • the high list area display button in Fig. 11 When the high list area display button in Fig. 11 is pressed in Fig. 18, the direction of river flow is displayed, and as shown in Fig. 19, the risk of infectious disease spreading in the future will increase. Show downstream areas with high risk and call attention to infectious diseases. That is, the high risk area 91 including the extended transmission route of the hypothetical transmission route is displayed on the screen. In other words, areas with high risks associated with river flows are displayed as areas that call attention. The same applies to other transmission routes. In this case, the function of the above-described screen display device 16 is expanded, and a screen processing display device is obtained.
  • Figure 20 is a route map with infectious disease patients showing the area where many islands are dense and the ferry route 92. According to this figure, it can be seen that infectious disease X is spreading along the ferry route 91. In this case, a hypothesis is set and verified.
  • Figure 21 shows the domestic air route 93 centering on Fukuoka Airport and the air route showing the airport location 94 and the infection map.
  • the number of infectious disease patients at the airport location (prefecture) is indicated by the size of ⁇ . From this, it can be inferred that infected patients are moving by aircraft.

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Abstract

La présente invention concerne un système destiné de préférence à l'analyse épidémiologique d'une maladie infectieuse et de manière idéale à l'analyse/à la spécification du mécanisme de propagation de l'infection par une maladie infectieuse en prévoyant les étapes de la propagation dans le temps de la maladie infectieuse dans chaque zone, et l'occurrence de la maladie infectieuse en fonction de facteurs dépendant des facteurs tels que le patient et l'environnement de vie. Le système comprend des éléments permettant l'envoi à un centre d'informations sur les maladies infectieuses, d'attributs d'un patient atteint de la maladie infectieuse, relatifs aux informations concernant la localisation du patient, de manière à fournir un affichage combiné d'informations se basant sur les informations de localisation de patient sur une carte affichée à partir d'une base de données d'informations cartographiques. Le système comprend également: des éléments servant à afficher un état infectieux lié à la carte de la zone concerné de manière à spécifier le cheminement de l'infection par la maladie infectieuse; des éléments permettant l'affichage combiné de systèmes de transport susceptibles de véhiculer l'infection, le terrain comprenant les rivières, les voies de distribution physiques, et les localisations des patients atteints de la maladie infectieuse, de manière à réaliser une analyse épidémiologique de la maladie infectieuse; et des éléments permettant un affichage combiné de données relatives aux patients, regroupées par catégories en fonction de critères tels que l'âge, le sexe, la corpulence, et l'historique médical de chaque patient lorsque les critères peuvent être des facteurs de la maladie infectieuse. Une hypothèse est formulée et démontrée, et les voies de propagation de l'infection sont spécifiées.
PCT/JP2001/000687 2001-01-31 2001-01-31 Procede et systeme permettant d'afficher des informations relatives a une maladie infectieuse, et procede permettant d'accepter la demande d'analyse d'une maladie infectieuse Ceased WO2002061647A1 (fr)

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JP2002561745A JPWO2002061647A1 (ja) 2001-01-31 2001-01-31 感染症情報表示方法およびシステム並びに感染症の分析受注方法
PCT/JP2001/000687 WO2002061647A1 (fr) 2001-01-31 2001-01-31 Procede et systeme permettant d'afficher des informations relatives a une maladie infectieuse, et procede permettant d'accepter la demande d'analyse d'une maladie infectieuse

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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004015612A1 (fr) * 2002-07-31 2004-02-19 Otto Carl Gerntholtz Systeme de surveillance de maladie infectieuse
JP2005275708A (ja) * 2004-03-24 2005-10-06 Nec Corp 風邪ウイルス伝播情報伝達システムと風邪ウイルス情報センター装置および風邪ウイルス伝播情報伝達方法
JP2005345712A (ja) * 2004-06-02 2005-12-15 Fujitsu Ltd 表示方法
JP2006277656A (ja) * 2005-03-30 2006-10-12 Olympus Medical Systems Corp 医療支援システム
JP2009093617A (ja) * 2007-09-14 2009-04-30 Gunma Univ 菌の異常集積検出方法および装置、アンチバイオグラム分類方法および装置、２次元キャリアマップ作成方法および装置、感染対策指標の評価方法および装置、菌異常集積検出の警告スコア累積のグラフ化方法および装置
JP2010524063A (ja) * 2007-04-02 2010-07-15 カーン，カムラン 民間飛行機旅行を介した感染性病原菌の世界的拡散を予測するためのシステムおよび方法
WO2012002435A1 (fr) * 2010-06-30 2012-01-05 株式会社ニコン Système d'aide à la prévention de la propagation d'infections, serveur d'aide à la prévention de la propagation d'infections, terminal d'examen, terminal mobile et programme
JP2013016110A (ja) * 2011-07-06 2013-01-24 Ricoh Co Ltd 情報提供システムおよびプログラム
JP2020027610A (ja) * 2018-08-08 2020-02-20 パナソニックＩｐマネジメント株式会社 情報提供方法、サーバ、音声認識装置、情報提供プログラム、及び情報提供システム
JP2021192021A (ja) * 2020-06-05 2021-12-16 豊田合成株式会社 感染症向け医療用モビリティ
JP2022102810A (ja) * 2020-12-25 2022-07-07 三菱電機株式会社 影響推定装置および影響推定プログラム
JP2023028418A (ja) * 2021-08-19 2023-03-03 ヤフー株式会社 情報処理装置、情報処理方法および情報処理プログラム
JP2023145859A (ja) * 2022-03-29 2023-10-12 三菱マテリアル株式会社 検査システム、検査結果提供装置、及びプログラム
JP7712463B1 (ja) 2024-07-08 2025-07-23 北京融威衆邦科技股▲ふん▼有限公司 ビッグデータに基づく医療知能ａｉ管理方法、システム及び媒体

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11256543A (ja) * 1998-03-13 1999-09-21 Hitachi Ltd 感染症病原リスク管理マッピングシステム
JP2000090424A (ja) * 1998-09-10 2000-03-31 Nec Corp 垂直磁気記録媒体と磁気記録装置

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11256543A (ja) * 1998-03-13 1999-09-21 Hitachi Ltd 感染症病原リスク管理マッピングシステム
JP2000090424A (ja) * 1998-09-10 2000-03-31 Nec Corp 垂直磁気記録媒体と磁気記録装置

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004015612A1 (fr) * 2002-07-31 2004-02-19 Otto Carl Gerntholtz Systeme de surveillance de maladie infectieuse
US7840421B2 (en) 2002-07-31 2010-11-23 Otto Carl Gerntholtz Infectious disease surveillance system
JP2005275708A (ja) * 2004-03-24 2005-10-06 Nec Corp 風邪ウイルス伝播情報伝達システムと風邪ウイルス情報センター装置および風邪ウイルス伝播情報伝達方法
JP2005345712A (ja) * 2004-06-02 2005-12-15 Fujitsu Ltd 表示方法
JP2006277656A (ja) * 2005-03-30 2006-10-12 Olympus Medical Systems Corp 医療支援システム
JP2010524063A (ja) * 2007-04-02 2010-07-15 カーン，カムラン 民間飛行機旅行を介した感染性病原菌の世界的拡散を予測するためのシステムおよび方法
JP2009093617A (ja) * 2007-09-14 2009-04-30 Gunma Univ 菌の異常集積検出方法および装置、アンチバイオグラム分類方法および装置、２次元キャリアマップ作成方法および装置、感染対策指標の評価方法および装置、菌異常集積検出の警告スコア累積のグラフ化方法および装置
JP2013101675A (ja) * 2007-09-14 2013-05-23 Gunma Univ アンチバイオグラム分類方法および装置、２次元キャリアマップ作成方法および装置、並びに感染対策指標の評価方法および装置
WO2012002435A1 (fr) * 2010-06-30 2012-01-05 株式会社ニコン Système d'aide à la prévention de la propagation d'infections, serveur d'aide à la prévention de la propagation d'infections, terminal d'examen, terminal mobile et programme
JP2013016110A (ja) * 2011-07-06 2013-01-24 Ricoh Co Ltd 情報提供システムおよびプログラム
JP2020027610A (ja) * 2018-08-08 2020-02-20 パナソニックＩｐマネジメント株式会社 情報提供方法、サーバ、音声認識装置、情報提供プログラム、及び情報提供システム
JP7422308B2 (ja) 2018-08-08 2024-01-26 パナソニックＩｐマネジメント株式会社 情報提供方法、サーバ、音声認識装置、及び情報提供プログラム
JP2021192021A (ja) * 2020-06-05 2021-12-16 豊田合成株式会社 感染症向け医療用モビリティ
JP7368925B2 (ja) 2020-06-05 2023-10-25 豊田合成株式会社 感染症向け医療用モビリティ
JP2022102810A (ja) * 2020-12-25 2022-07-07 三菱電機株式会社 影響推定装置および影響推定プログラム
JP7407698B2 (ja) 2020-12-25 2024-01-04 三菱電機株式会社 影響推定装置および影響推定プログラム
JP2023028418A (ja) * 2021-08-19 2023-03-03 ヤフー株式会社 情報処理装置、情報処理方法および情報処理プログラム
JP7582919B2 (ja) 2021-08-19 2024-11-13 Ｌｉｎｅヤフー株式会社 情報処理装置、情報処理方法および情報処理プログラム
JP2023145859A (ja) * 2022-03-29 2023-10-12 三菱マテリアル株式会社 検査システム、検査結果提供装置、及びプログラム
JP7797937B2 (ja) 2022-03-29 2026-01-14 三菱マテリアル株式会社 検査システム、検査結果提供装置、及びプログラム
JP7712463B1 (ja) 2024-07-08 2025-07-23 北京融威衆邦科技股▲ふん▼有限公司 ビッグデータに基づく医療知能ａｉ管理方法、システム及び媒体

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