Epidemic situation data prediction method and device, electronic equipment and storage medium
A technology of data prediction and epidemic situation, applied in the computer field, can solve problems such as inaccurate prediction results and inconsistent prediction structure of the number of people affected by the epidemic
Pending Publication Date: 2021-03-02
YIDU CLOUD (BEIJING) TECH CO LTD
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[0004] The purpose of the present disclosure is to provide an epidemic data prediction method, an epidemic data prediction device, an electronic device, and a computer-readable storage medium, thereby at least to a certain extent overcoming the existing mathematical model of the epidemic to control the number of epidemics under the policy hierarchical control scenario. There is a problem that the prediction structure does not fit and the prediction result is inaccurate
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[0034] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.
[0035] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or mo...
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The invention relates to an epidemic situation data prediction method and device, equipment and a medium, relates to the technical field of computers, and can be applied to a scene of predicting the number of infectious disease patients. The method comprises the following steps: dividing infection states of an initial infectious disease model into a first infection state and a second infection state according to regional risk levels; establishing an initial infectious disease population prediction model according to the first infection state and the second infection state, and determining to-be-estimated parameters of the initial infectious disease population prediction model; obtaining the daily newly increased people number of two infection states in the initial infectious disease peoplenumber prediction model, and determining target parameter values of the to-be-estimated parameters according to the daily newly increased people number in each infection state; and substituting the target parameter values into the initial infectious disease population prediction model to obtain an infectious disease population prediction model, and determining an epidemic prediction population according to the infectious disease population prediction model. According to the invention, an epidemic situation propagation prediction model suitable for a policy grading regulation and control scenecan be established, so that the prediction of the number of epidemic situation people is more accurate.
Description
technical field [0001] The present disclosure relates to the field of computer technology, and in particular, to an epidemic data prediction method, an epidemic data prediction device, electronic equipment, and a computer-readable storage medium. Background technique [0002] Epidemic prediction is an important part of the epidemic prevention and control system, and it is of great significance to accurately establish an epidemic evolution dynamics model. Establishing a model that can predict and provide reliable and sufficient information for prevention and control can provide a scientific basis for the precise implementation of disease prevention and control and the formulation of public health strategies. Existing epidemic mathematical models usually include: Susceptible-Exposed-Infectious-Recovered (Susceptible-Exposed-Infectious-Recovered, SEIR) model, Susceptible-Infectious (Susceptible-Infectious, SI) Model, Susceptible-Infectious-Recovered (Susceptible-Infectious-Rec...
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IPC IPC(8): G16H50/80G06F17/12G06F17/13G06F17/18
CPCG06F17/12G06F17/13G06F17/18G16H50/80
Inventor 梁世浩
Owner YIDU CLOUD (BEIJING) TECH CO LTD