A first insight about spatial dimension of COVID-19: analysis at municipality level.

ABSTRACT:

Background

This paper is about spatial patterns of by corona virus disease-2019 (COVID-19).

Methods

Using data for the first 21 weeks from municipalities in Catalonia, we analyse whether reported positive cases appear randomly or following some kind of spatial dependence. Global and local measures of spatial autocorrelation are used.

Results

There are some clusters alongside Catalan municipalities that change over time.

Conclusions

Use of spatial analysis techniques is suggested to identify spatial disease patterns and to provide spatially disaggregated public health policy recommendations.

SUBMITTER: Arauzo-Carod JM 

PROVIDER: S-EPMC7454828 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature