Prospective spatial-temporal clusters of COVID-19 in local communities: case study of Kansas City, Missouri, United States.

ABSTRACT: Kansas City, Missouri, became one of the major United States hotspots for COVID-19 due to an increase in the rate of positive COVID-19 test results. Despite the large numbers of positive cases in Kansas City, MO, the spatial-temporal analysis of data has been less investigated. However, it is critical to detect emerging clusters of COVID-19 and enforce control and preventive policies within those clusters. We conducted a prospective Poisson spatial-temporal analysis of Kansas City, MO data to detect significant space-time clusters of COVID-19 positive cases at the zip code level in Kansas City, MO. The analysis focused on daily infected cases in four equal periods of 3 months. We detected temporal patterns of emerging and re-emerging space-time clusters between March 2020 and February 2021

SUBMITTER: AlQadi H 

PROVIDER: S-EPMC10600737 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature