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Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) had spread worldwide. Although the world has intensively focused on the epidemic center during this period of time, it is imperative to emphasize that more attention should also be paid to some impoverished areas in China since they are...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422473/ https://www.ncbi.nlm.nih.gov/pubmed/32787916 http://dx.doi.org/10.1186/s40249-020-00706-2 |
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author | Liao, Ru-Jun Ji-Ke, Chun-Nong Zhang, Tao Liao, Qiang Li, Ling Zhu, Tian-Yu Bian, Shao-Yong |
author_facet | Liao, Ru-Jun Ji-Ke, Chun-Nong Zhang, Tao Liao, Qiang Li, Ling Zhu, Tian-Yu Bian, Shao-Yong |
author_sort | Liao, Ru-Jun |
collection | PubMed |
description | BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) had spread worldwide. Although the world has intensively focused on the epidemic center during this period of time, it is imperative to emphasize that more attention should also be paid to some impoverished areas in China since they are more vulnerable to disease outbreak due to their weak health service capacities. Therefore, this study took Liangshan Yi Autonomous Prefecture as an example to analyze the COVID-19 epidemic in the impoverished area, evaluate the control effect and explore future control strategies. METHODS: In this study, we collected information including age, gender, nationality, occupation, and address of all COVID-19 cases reported from 25 January 2020 to 23 April 2020 in Liangshan Prefecture from the Nationwide Notifiable Infectious Diseases Reporting Information System (NIDRIS), which were used under license and not publicly available. Additionally, we retrieved other information of cases through epidemiological investigation reports reviewing. Data were analyzed using the software Excel 2010 and SPSS 17.0. The geographic distribution of cases was mapped using ArcGIS10.2. RESULTS: By 23 April 2020, a total of 13 COVID-19 cases and two asymptomatic SARS-CoV-2 carriers were reported in Liangshan, in three family clusters. Among the cases, eight cases had a history of sojourning in Hubei Province (61.54%), of which six were related to Wuhan. Cases aged under 44 years accounted for 61.54%, with no child case. The delay of patients’ hospital visiting, and the low degree of cooperation in epidemiological investigation are problems. CONCLUSIONS: During the study period, Liangshan was well under control. This was mainly contributed to strict preventive strategies aimed at local culture, inter-sectoral coordination and highly degree of public cooperation. Besides, some possible environmentally and culturally preventive factors (e.g., rapid air flow and family concept) would affect disease prevention and control. In the next step, the health education about COVID-19 should be strengthened and carried out according to the special culture of ethnic minorities to enhance public awareness of timely medical treatment. |
format | Online Article Text |
id | pubmed-7422473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74224732020-08-21 Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example Liao, Ru-Jun Ji-Ke, Chun-Nong Zhang, Tao Liao, Qiang Li, Ling Zhu, Tian-Yu Bian, Shao-Yong Infect Dis Poverty Case Study BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) had spread worldwide. Although the world has intensively focused on the epidemic center during this period of time, it is imperative to emphasize that more attention should also be paid to some impoverished areas in China since they are more vulnerable to disease outbreak due to their weak health service capacities. Therefore, this study took Liangshan Yi Autonomous Prefecture as an example to analyze the COVID-19 epidemic in the impoverished area, evaluate the control effect and explore future control strategies. METHODS: In this study, we collected information including age, gender, nationality, occupation, and address of all COVID-19 cases reported from 25 January 2020 to 23 April 2020 in Liangshan Prefecture from the Nationwide Notifiable Infectious Diseases Reporting Information System (NIDRIS), which were used under license and not publicly available. Additionally, we retrieved other information of cases through epidemiological investigation reports reviewing. Data were analyzed using the software Excel 2010 and SPSS 17.0. The geographic distribution of cases was mapped using ArcGIS10.2. RESULTS: By 23 April 2020, a total of 13 COVID-19 cases and two asymptomatic SARS-CoV-2 carriers were reported in Liangshan, in three family clusters. Among the cases, eight cases had a history of sojourning in Hubei Province (61.54%), of which six were related to Wuhan. Cases aged under 44 years accounted for 61.54%, with no child case. The delay of patients’ hospital visiting, and the low degree of cooperation in epidemiological investigation are problems. CONCLUSIONS: During the study period, Liangshan was well under control. This was mainly contributed to strict preventive strategies aimed at local culture, inter-sectoral coordination and highly degree of public cooperation. Besides, some possible environmentally and culturally preventive factors (e.g., rapid air flow and family concept) would affect disease prevention and control. In the next step, the health education about COVID-19 should be strengthened and carried out according to the special culture of ethnic minorities to enhance public awareness of timely medical treatment. BioMed Central 2020-08-12 /pmc/articles/PMC7422473/ /pubmed/32787916 http://dx.doi.org/10.1186/s40249-020-00706-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Case Study Liao, Ru-Jun Ji-Ke, Chun-Nong Zhang, Tao Liao, Qiang Li, Ling Zhu, Tian-Yu Bian, Shao-Yong Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example |
title | Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example |
title_full | Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example |
title_fullStr | Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example |
title_full_unstemmed | Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example |
title_short | Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example |
title_sort | coronavirus disease 2019 epidemic in impoverished area: liangshan yi autonomous prefecture as an example |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422473/ https://www.ncbi.nlm.nih.gov/pubmed/32787916 http://dx.doi.org/10.1186/s40249-020-00706-2 |
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