Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data

Based on the public data from the health departments of Tianjin and Shenzhen, we conducted a comparative analysis of the coronavirus disease 2019 (COVID-19) epidemic situation between these 2 cities. The aim of this study was to evaluate the role of public data in epidemic prevention and control of...

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Autores principales: Zhou, Ning, Zhang, Xiaomeng, Zhang, Ying, Gao, Lu, Zhou, Penghui, Liu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Concepts in Disaster Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884672/
https://www.ncbi.nlm.nih.gov/pubmed/33100249
http://dx.doi.org/10.1017/dmp.2020.401
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author Zhou, Ning
Zhang, Xiaomeng
Zhang, Ying
Gao, Lu
Zhou, Penghui
Liu, Hui
author_facet Zhou, Ning
Zhang, Xiaomeng
Zhang, Ying
Gao, Lu
Zhou, Penghui
Liu, Hui
author_sort Zhou, Ning
collection PubMed
description Based on the public data from the health departments of Tianjin and Shenzhen, we conducted a comparative analysis of the coronavirus disease 2019 (COVID-19) epidemic situation between these 2 cities. The aim of this study was to evaluate the role of public data in epidemic prevention and control of COVID-19, providing a scientific advice for the subsequent mitigation and containment of COVID-19 prevalence.
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spelling pubmed-78846722021-02-16 Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data Zhou, Ning Zhang, Xiaomeng Zhang, Ying Gao, Lu Zhou, Penghui Liu, Hui Disaster Med Public Health Prep Concepts in Disaster Medicine Based on the public data from the health departments of Tianjin and Shenzhen, we conducted a comparative analysis of the coronavirus disease 2019 (COVID-19) epidemic situation between these 2 cities. The aim of this study was to evaluate the role of public data in epidemic prevention and control of COVID-19, providing a scientific advice for the subsequent mitigation and containment of COVID-19 prevalence. Cambridge University Press 2020-10-26 /pmc/articles/PMC7884672/ /pubmed/33100249 http://dx.doi.org/10.1017/dmp.2020.401 Text en © Society for Disaster Medicine and Public Health, Inc. 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Concepts in Disaster Medicine
Zhou, Ning
Zhang, Xiaomeng
Zhang, Ying
Gao, Lu
Zhou, Penghui
Liu, Hui
Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data
title Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data
title_full Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data
title_fullStr Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data
title_full_unstemmed Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data
title_short Epidemiological Analysis of Coronavirus Disease 2019 (COVID-19) in 2 Cities in China Based on Public Data
title_sort epidemiological analysis of coronavirus disease 2019 (covid-19) in 2 cities in china based on public data
topic Concepts in Disaster Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884672/
https://www.ncbi.nlm.nih.gov/pubmed/33100249
http://dx.doi.org/10.1017/dmp.2020.401
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