Exploring spatiotemporal patterns of COVID-19 infection in Nagasaki Prefecture in Japan using prospective space-time scan statistics from April 2020 to April 2022.

ABSTRACT:

Background

Up to April 2022, there were six waves of infection of coronavirus disease 2019 (COVID-19) in Japan. As the outbreaks continue to grow, it is critical to detect COVID-19's clusters to allocate health resources and improve decision-making substantially. This study aimed to identify active clusters of COVID-19 in Nagasaki Prefecture and form the spatiotemporal pattern of high-risk areas in different infection periods.

Methods

We used the prospective space-time scan statistic to detect emerging COVID-19 clusters and examine the relative risk in five consecutive periods from April 1, 2020 to April 7, 2022, in Nagasaki Prefecture.

Results

The densely inhabited districts (DIDs) in Nagasaki City have remained the most affected areas since December 2020. Most of th

SUBMITTER: Lu Y 

PROVIDER: S-EPMC9315091 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature