This article investigates the geographical spread of confirmed COVID-19 cases and deaths across municipalities in Mexico. It focuses on the spread dynamics and containment of the virus between Phase I (from March 23 to May 31, 2020) and Phase II (from June 1 to August 22, 2020) of the social distancing measures. It also examines municipal-level factors associated with cumulative COVID-19 cases and deaths to understand the spatial determinants of the pandemic. The analysis of the geographic pattern of the pandemic via spatial scan statistics revealed a fast spread among municipalities. During Phase I, clusters of infections and deaths were mainly located at the country's center, whereas in Phase II, these clusters dispersed to the rest of the country. The regression results from the zero-inflated negative binomial regression analysis suggested that income inequality, the prevalence of obesity and diabetes, and concentration of fine particulate matter (PM 2.5) are strongly positively associated with confirmed cases and deaths regardless of lockdown.

本文调查了墨西哥各市确诊的 COVID-19 病例和死亡的地理分布。它侧重于社会隔离措施的第一阶段（2020 年 3 月 23 日至 5 月 31 日）和第二阶段（2020 年 6 月 1 日至 8 月 22 日）之间的病毒传播动态和遏制。它还检查了与累计 COVID-19 病例和死亡相关的市级因素，以了解大流行的空间决定因素。通过空间扫描统计数据对大流行病的地理格局进行分析，揭示了城市之间的快速传播。在第一阶段，聚集性感染和死亡主要集中在该国的中心，而在第二阶段，这些聚集性感染和死亡则分散到该国其他地区。