A statistical method of time and space based on relative risk deviations and spatial parameters correction
A technology of spatiotemporal scanning and statistical methods, applied in epidemic alert systems, medical data mining, computer-aided medical procedures, etc., can solve problems such as deviations in the relative risks of people's onset locations and the gathering areas of people's medical registration locations
Active Publication Date: 2021-09-14
KUNMING UNIV OF SCI & TECH
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Problems solved by technology
[0005] The technical problem to be solved by the present invention is to provide a time-space scanning statistical method based on relative risk deviation and spatial parameter correction, which is used to solve the contradiction problem between the place of onset of a person and the registration place of a person's medical visit in the time-space scanning statistics and the detected gathering area There are deviations in relative risk and other phenomena, and we are committed to improving the accuracy of spatio-temporal scanning disease cluster detection and prediction and early warning
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Embodiment 1
[0033] Embodiment 1: as figure 1 As shown, a spatio-temporal scanning statistical method based on relative risk deviation and spatial parameter correction corrects the uniform use of clinic registration addresses for spatial scanning volume, regardless of the actual disease address. This problem should be paid attention to when registering the database. In this paper, whether Hospitalization is used to determine the spatial parameters. If the spatial parameter is hospitalized, the registered address of the clinic is extracted. If the spatial parameter is not hospitalized, the actual address of the case is selected. Due to the sparse population in some urban and rural areas in China, the relative risk value is relatively large at this time, and the actual disease prediction effect is not good due to the small population base. The power parameter is introduced, which is a function of population density and relative risk value RR. It is emphasized that it should be considered The...
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The invention relates to a time-space scanning statistical method based on relative risk deviation and spatial parameter correction, and belongs to the technical field of time-space aggregation detection, prediction and early warning of diseases. The present invention considers two factors innovatively in the exploration and prediction and early warning of urban and rural population disease clusters, one is the contradiction between the person's disease address and the person's medical registration address, and the other is the introduction of power to participate in the evaluation and prediction, where power is A function about population density and relative risk value RR, emphasizing that the problem of urban and rural population density sparseness should be considered, rather than simply considering the RR value. It is measured by the relative deviation B in use, because B and power changes in the same way, when B is infinitely close When 1, the power factor can be ignored.
Description
technical field [0001] The invention relates to a time-space scanning statistical method based on relative risk deviation and spatial parameter correction, and belongs to the technical field of time-space aggregation detection, prediction and early warning of diseases. Background technique [0002] Spatio-temporal event clustering analysis, in the past ten years since it was proposed, some mature methods have emerged. It is roughly divided into three types: (1) spatiotemporal scanning statistics, (2) spatiotemporal density clustering, (3) spatiotemporal mixing distance. The present invention deals with the first type of spatio-temporal scanning statistics. [0003] In 2001, Kuiidorff proposed spatiotemporal scanning statistics on the basis of spatial statistics, which is basically used to detect spatiotemporal aggregation patterns of infectious diseases. The model defines a series of cylindrical spatio-temporal scanning windows with the spatial distance as the radius and t...
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IPC IPC(8): G16H50/80G16H50/70
CPCG16H50/70G16H50/80
Inventor 龙华王美邵玉斌杜庆治
Owner KUNMING UNIV OF SCI & TECH