Development of two-dimension epidemic prediction model.

ABSTRACT: Epidemic prediction is a crucial foundation of disease control policy-making. Owing to the high population connectivity of current epidemics, it is essential to capture the spatial transmission of infectious diseases. However, most models currently used in epidemic prediction are single-point models, and they can only capture the time-dynamic increase of cases in limited areas. In this study, we develop a two-dimension epidemic prediction model by introducing diffusion processes, which take spatial transmission epidemics into account. We utilize mathematical theorems to prove a well-posed solution of the model. In addition, we also consider various influencing factors that affect the spread of epidemics, and introduce multiple parameterization schemes. Results suggest that this two-dimensi

SUBMITTER: Huang J 

PROVIDER: S-EPMC12271440 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature