Abstract
Shanghai suffered a large outbreak of Omicron mutant of COVID-19 at the beginning of March 2022. To figure out the spatiotemporal patterns of the epidemic, a retrospective statistical investigation, coupled with a dynamic model, is implemented in this study. The hotspots of SARS-CoV-2 transmissions are identified, and strong aggregative effects in the decay stage are found. Besides, the visualization of disease diffusion is provided to show how COVID-19 disease invades all districts of Shanghai in the early stage. Furthermore, the calculations from the dynamic model manifest the effect of detections to suppress the epidemic dissemination. These results reveal the strategies to improve the spatial control of disease.
Keywords: Autocorrelation analysis; Daily reproduction number; Dynamic model; Spatial statistics.
【저자키워드】 Spatial statistics., Dynamic model, Daily reproduction number, Autocorrelation analysis, 【초록키워드】 COVID-19, omicron, COVID-19 disease, SARS-CoV-2 transmission, outbreak, mutant, Shanghai, dissemination, disease, early stage, retrospective, dynamic, diffusion, hotspot, Effect, Daily, spatiotemporal, statistical, the epidemic, IMPROVE, provided, suffered, suppress, 【제목키워드】 COVID-19, China, Shanghai, Analysis,