System and a method for detecting an endemic or an epidemic disease
First Claim
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1. A system for detecting endemic or epidemic diseases, including a cell covering a particular geographical area and including:
- a plurality of health booths installed in said area and connected via a telecommunications network to a remote analysis center, each health booth allowing a user to conduct self-measurement and comprising;
a shell;
a chair;
a first measurement device configured for a user to measure health data relative to the health of the user;
a second measurement device configured to determine, at the time of taking a measurement with the first measurement device, one or more environmental conditions of the health booth under which said measurement is taken;
data storage configured to store said measured health data from the first measurement device in a data structure together with said condition(s) under which the measurements were taken; and
a transmission system configured to send said data structure to said remote analysis center via said network;
said remote analysis center comprising;
a receiving system configured to receive said data structures sent by said plurality of health booths;
a database configured to store;
a range of normal values for each type of said health data measured by the first measurement device; and
a range of interpretable values for each type of environmental condition measured by the second measurement device;
a calculator configured to determine;
the number of data structures, sent by the plurality of health booths, that include interpretable environmental conditions received during a particular time period, and in the data structures that include interpretable environmental conditions;
the percentage of abnormal health data for each type of health data; and
an alert trigger configured to trigger an alert via said network if;
said number of data structures is above a threshold; and
the percentage of abnormal data for one or more types of data is above a threshold;
the type of alert being chosen as a function of the number of types of data for which said percentage of data is abnormal.
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Abstract
This system of detecting endemic or epidemic diseases includes an analysis center connected by a computer network to a number of health booths in which health data can be measured and stored with the conditions under which the measurements are taken. The analysis center generates an alert automatically if an endemic or epidemic disease is detected.
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Citations
19 Claims
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1. A system for detecting endemic or epidemic diseases, including a cell covering a particular geographical area and including:
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a plurality of health booths installed in said area and connected via a telecommunications network to a remote analysis center, each health booth allowing a user to conduct self-measurement and comprising; a shell; a chair; a first measurement device configured for a user to measure health data relative to the health of the user; a second measurement device configured to determine, at the time of taking a measurement with the first measurement device, one or more environmental conditions of the health booth under which said measurement is taken; data storage configured to store said measured health data from the first measurement device in a data structure together with said condition(s) under which the measurements were taken; and a transmission system configured to send said data structure to said remote analysis center via said network; said remote analysis center comprising; a receiving system configured to receive said data structures sent by said plurality of health booths; a database configured to store; a range of normal values for each type of said health data measured by the first measurement device; and a range of interpretable values for each type of environmental condition measured by the second measurement device; a calculator configured to determine; the number of data structures, sent by the plurality of health booths, that include interpretable environmental conditions received during a particular time period, and in the data structures that include interpretable environmental conditions; the percentage of abnormal health data for each type of health data; and an alert trigger configured to trigger an alert via said network if; said number of data structures is above a threshold; and the percentage of abnormal data for one or more types of data is above a threshold; the type of alert being chosen as a function of the number of types of data for which said percentage of data is abnormal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of detecting endemic or epidemic diseases, comprising:
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installing one or more cells covering a particular geographical area and comprising a plurality of health booths installed in said area and connected via a telecommunications network to a remote analysis center; taking measurements in said plurality of health booths of data relating to the health of a user with a first measurement device configured for the user to measure health data relating to the health of the user, and determining, with a second measurement device, at the time of taking the measurements one or more environmental conditions of the health booth under which said measurements are taken, the measurement being taken by the user in the health booth, the measured data being stored in a data structure with said environmental condition under which said measurements are taken; sending said data structures from said plurality of health booth to said remote analysis center via said network, said remote analysis center including a database including; a range of normal values for each type of data; and a range of interpretable values for each type of environmental condition; said remote analysis center determining the number of data structures, sent by the plurality of health booths that include interpretable measurement conditions received during a particular time period and, in the data structures that include interpretable environmental conditions; the percentage of abnormal data for each type of data; and said remote analysis center triggering an alert via said network if; said number of data structures is above a threshold; and the percentage of abnormal data for one or more types of data is above a threshold; the type of alert being chosen as a function of the number of types of data for which said data percentage is abnormal. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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Specification