Spatiotemporal characteristics and factor analysis of SARS-CoV-2 infections among healthcare workers in Wuhan, China.

ABSTRACT:

Background

Studying the spatiotemporal distribution of SARS-CoV-2 infections among healthcare workers (HCWs) can aid in protecting them from exposure.

Aim

To describe the spatiotemporal distributions of SARS-CoV-2 infections among HCWs in Wuhan, China.

Methods

In this study, an open-source dataset of HCW diagnoses was provided. A geographical detector technique was then used to investigate the impacts of hospital level, type, distance from the infection source, and other external indicators of HCW infections.

Findings

The number of daily HCW infections over time in Wuhan followed a log-normal distribution, with its mean observed on January 23^rd, 2020, and a standard deviation of 10.8 days. The implementation of high-impact measures, such as the lockd

SUBMITTER: Wang P 

PROVIDER: S-EPMC7985129 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature