A first insight about spatial dimension of COVID-19: analysis at municipality level-Reference-Cited by-同舟云学术

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

Published:2020-08-18 Issue:1 Volume:43 Page:98-106
ISSN:1741-3842
Container-title:Journal of Public Health
language:en
Short-container-title:

Author:

Arauzo-Carod Josep-Maria¹^ORCID

Affiliation:

1. Universitat Rovira i Virgili, Departament d’Economia (ECO-SOS), 43204, Reus, Catalonia, Spain

Abstract

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.

Funder

FEDER

Ministerio de Ciencia, Innovación y Universidades

SGR Program

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine

Link

http://academic.oup.com/jpubhealth/article-pdf/43/1/98/37029828/fdaa140.pdf

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