Cargando…

Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China

The pandemic of coronavirus disease 2019 (COVID-19) has posed serious challenges. It is vitally important to further clarify the epidemiological characteristics of the COVID-19 outbreak for future study and prevention and control measures. Epidemiological characteristics and spatial−temporal analysi...

Descripción completa

Detalles Bibliográficos
Autores principales: Qi, C., Zhu, Y. C., Li, C. Y., Hu, Y. C., Liu, L. L., Zhang, D. D., Wang, X., She, K. L., Jia, Y., Liu, T. X., Li, X. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360956/
https://www.ncbi.nlm.nih.gov/pubmed/32624078
http://dx.doi.org/10.1017/S095026882000151X
_version_ 1783559317073428480
author Qi, C.
Zhu, Y. C.
Li, C. Y.
Hu, Y. C.
Liu, L. L.
Zhang, D. D.
Wang, X.
She, K. L.
Jia, Y.
Liu, T. X.
Li, X. J.
author_facet Qi, C.
Zhu, Y. C.
Li, C. Y.
Hu, Y. C.
Liu, L. L.
Zhang, D. D.
Wang, X.
She, K. L.
Jia, Y.
Liu, T. X.
Li, X. J.
author_sort Qi, C.
collection PubMed
description The pandemic of coronavirus disease 2019 (COVID-19) has posed serious challenges. It is vitally important to further clarify the epidemiological characteristics of the COVID-19 outbreak for future study and prevention and control measures. Epidemiological characteristics and spatial−temporal analysis were performed based on COVID-19 cases from 21 January 2020 to 1 March 2020 in Shandong Province, and close contacts were traced to construct transmission chains. A total of 758 laboratory-confirmed cases were reported in Shandong. The sex ratio was 1.27: 1 (M: F) and the median age was 42 (interquartile range: 32–55). The high-risk clusters were identified in the central, eastern and southern regions of Shandong from 25 January 2020 to 10 February 2020. We rebuilt 54 transmission chains involving 209 cases, of which 52.2% were family clusters, and three widespread infection chains were elaborated, occurring in Jining, Zaozhuang and Liaocheng, respectively. The geographical and temporal disparity may alert public health agencies to implement specific measures in regions with different risk, and should attach importance on how to avoid household and community transmission.
format Online
Article
Text
id pubmed-7360956
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-73609562020-07-15 Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China Qi, C. Zhu, Y. C. Li, C. Y. Hu, Y. C. Liu, L. L. Zhang, D. D. Wang, X. She, K. L. Jia, Y. Liu, T. X. Li, X. J. Epidemiol Infect Original Paper The pandemic of coronavirus disease 2019 (COVID-19) has posed serious challenges. It is vitally important to further clarify the epidemiological characteristics of the COVID-19 outbreak for future study and prevention and control measures. Epidemiological characteristics and spatial−temporal analysis were performed based on COVID-19 cases from 21 January 2020 to 1 March 2020 in Shandong Province, and close contacts were traced to construct transmission chains. A total of 758 laboratory-confirmed cases were reported in Shandong. The sex ratio was 1.27: 1 (M: F) and the median age was 42 (interquartile range: 32–55). The high-risk clusters were identified in the central, eastern and southern regions of Shandong from 25 January 2020 to 10 February 2020. We rebuilt 54 transmission chains involving 209 cases, of which 52.2% were family clusters, and three widespread infection chains were elaborated, occurring in Jining, Zaozhuang and Liaocheng, respectively. The geographical and temporal disparity may alert public health agencies to implement specific measures in regions with different risk, and should attach importance on how to avoid household and community transmission. Cambridge University Press 2020-07-06 /pmc/articles/PMC7360956/ /pubmed/32624078 http://dx.doi.org/10.1017/S095026882000151X Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ 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 Original Paper
Qi, C.
Zhu, Y. C.
Li, C. Y.
Hu, Y. C.
Liu, L. L.
Zhang, D. D.
Wang, X.
She, K. L.
Jia, Y.
Liu, T. X.
Li, X. J.
Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China
title Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China
title_full Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China
title_fullStr Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China
title_full_unstemmed Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China
title_short Epidemiological characteristics and spatial−temporal analysis of COVID-19 in Shandong Province, China
title_sort epidemiological characteristics and spatial−temporal analysis of covid-19 in shandong province, china
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360956/
https://www.ncbi.nlm.nih.gov/pubmed/32624078
http://dx.doi.org/10.1017/S095026882000151X
work_keys_str_mv AT qic epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT zhuyc epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT licy epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT huyc epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT liull epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT zhangdd epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT wangx epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT shekl epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT jiay epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT liutx epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina
AT lixj epidemiologicalcharacteristicsandspatialtemporalanalysisofcovid19inshandongprovincechina