A comparison of prospective space-time scan statistics and spatiotemporal event sequence based clustering for COVID-19 surveillance.

ABSTRACT: The outbreak of the COVID-19 disease was first reported in Wuhan, China, in December 2019. Cases in the United States began appearing in late January. On March 11, the World Health Organization (WHO) declared a pandemic. By mid-March COVID-19 cases were spreading across the US with several hotspots appearing by April. Health officials point to the importance of surveillance of COVID-19 to better inform decision makers at various levels and efficiently manage distribution of human and technical resources to areas of need. The prospective space-time scan statistic has been used to help identify emerging COVID-19 disease clusters, but results from this approach can encounter strategic limitations imposed by constraints of the scanning window. This paper presents a different approach to COVID-

SUBMITTER: Xu F 

PROVIDER: S-EPMC8191960 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature