Literature DB >> 34812380

Spatiotemporal Differences of COVID-19 Infection Among Healthcare Workers and Patients in China From January to March 2020.

Peixiao Wang1, Xinyan Zhu1,2,3, Wei Guo1, Hui Ren1, Tao Hu4.   

Abstract

Studying the spatiotemporal differences in coronavirus disease (COVID-19) between social groups such as healthcare workers (HCWs) and patients can aid in formulating epidemic containment policies. Most previous studies of the spatiotemporal characteristics of COVID-19 were conducted in a single group and did not explore the differences between groups. To fill this research gap, this study assessed the spatiotemporal characteristics and differences among patients and HCWs infection in Wuhan, Hubei (excluding Wuhan), and China (excluding Hubei). The temporal difference was greater in Wuhan than in the rest of Hubei, and was greater in Hubei (excluding Wuhan) than in the rest of China. The incidence was high in healthcare workers in the early stages of the epidemic. Therefore, it is important to strengthen the protective measures for healthcare workers in the early stage of the epidemic. The spatial difference was less in Wuhan than in the rest of Hubei, and less in Hubei (excluding Wuhan) than in the rest of China. The spatial distribution of healthcare worker infections can be used to infer the spatial distribution of the epidemic in the early stage and to formulate control measures accordingly. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

Entities:  

Keywords:  COVID-19; Healthcare worker infection; patient infection; spatiotemporal differences; spatiotemporal distribution

Year:  2021        PMID: 34812380      PMCID: PMC8545239          DOI: 10.1109/ACCESS.2021.3058155

Source DB:  PubMed          Journal:  IEEE Access        ISSN: 2169-3536            Impact factor:   3.476


  22 in total

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Journal:  Nature       Date:  2020-02-03       Impact factor: 69.504

4.  The next big threat to global health? 2019 novel coronavirus (2019-nCoV): What advice can we give to travellers? - Interim recommendations January 2020, from the Latin-American society for Travel Medicine (SLAMVI).

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Journal:  Travel Med Infect Dis       Date:  2020-01-30       Impact factor: 6.211

5.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

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8.  Building an Open Resources Repository for COVID-19 Research.

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9.  Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis.

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Journal:  J Infect       Date:  2020-04-10       Impact factor: 6.072

10.  Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020.

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