ABSTRACT
To analyze the epidemiological and distribution characteristics of COVID-19 in the United States from 2020.1 to 2021.8, which can provide scientific basis for the formulation of epidemic prevention measures. The incidence data of COVID-19 epidemic from 2020.1-2021.8 in the United States were collected for analysis, the spatial autocorrelation was analyzed by using Geoda 1.18.0, SaTScan 10.0 was used to conduct spatial scan statistics, and ArcGIS 10.4 were used to visualize. As of August 26, 2021, the epidemic in the United States is still in a state of high-speed transmission, and the number of cases is concentrated from November 2020 to February 2021 and August 2021;From the perspective of global spatial autocorrelation, COVID-19 in the United States has a high spatial aggregation, and the geographical spatial adjacency of each region has the greatest influence on the intensity of disease aggregation. According to the local spatial self-analysis, most of the agglomerations were in high-high and low-low clusters, and the high-high cluster states showed a patchy distribution, and experienced an increase-decrease-increase in number. According to the spatio-temporal scanning statistics, there were four clusters, of which the first cluster was located in the southeastern United States. In terms of t the mean center of infection, the epidemic moved greatly in the early stage and stabilized in the southeastern part of the United States in the later stage. COVID-19 in the United States has strong aggregation and changes over time. The focus of prevention and control is the southeast of the United States, and the focus of prevention and control is to reduce the population movement of adjacent states. © 2022 IEEE.