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The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China

OBJECTIVES: To analyze the epidemiological characteristics of COVID-19 related deaths in Wuhan, China and comprehend the changing trends of this epidemic along with analyzing the prevention and control measures in Wuhan. METHODS: Through the China’s Infectious Disease Information System, we collecte...

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Autores principales: Bai, Jianjun, Shi, Fang, Cao, Jinhong, Wen, Haoyu, Wang, Fang, Mubarik, Sumaira, Liu, Xiaoxue, Yu, Yong, Ding, Jianbo, Yu, Chuanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750392/
https://www.ncbi.nlm.nih.gov/pubmed/33349271
http://dx.doi.org/10.1186/s41256-020-00183-y
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author Bai, Jianjun
Shi, Fang
Cao, Jinhong
Wen, Haoyu
Wang, Fang
Mubarik, Sumaira
Liu, Xiaoxue
Yu, Yong
Ding, Jianbo
Yu, Chuanhua
author_facet Bai, Jianjun
Shi, Fang
Cao, Jinhong
Wen, Haoyu
Wang, Fang
Mubarik, Sumaira
Liu, Xiaoxue
Yu, Yong
Ding, Jianbo
Yu, Chuanhua
author_sort Bai, Jianjun
collection PubMed
description OBJECTIVES: To analyze the epidemiological characteristics of COVID-19 related deaths in Wuhan, China and comprehend the changing trends of this epidemic along with analyzing the prevention and control measures in Wuhan. METHODS: Through the China’s Infectious Disease Information System, we collected information about COVID-19 associated deaths from December 15, 2019 to February 24, 2020 in Wuhan. We analyzed the patient’s demographic characteristics, drew epidemiological curve and made geographic distribution maps of the death toll in each district over time, etc. ArcGIS was used to plot the numbers of daily deaths on maps. Statistical analyses were performed using SPSS and @Risk software. RESULTS: As of February 24, 2020, a total of 1833 deaths were included. Among the deaths with COVID-19, mild type accounted for the most (37.2%), followed by severe type (30.1%). The median age was 70.0 (inter quartile range: 63.0–79.0) years. Most of the deaths were distributed in 50–89 age group, whereas no deaths occurred in 0–9 age group. Additionally, the male to female ratio was 1.95:1. A total of 65.7% of the deaths in Wuhan combined with underlying diseases, and was more pronounced among males. Most of the underlying diseases included hypertension, diabetes and cardiovascular diseases. The peak of daily deaths appeared on February 14 and then declined. The median interval from symptom onset to diagnosis was 10.0 (6.0–14.0) days; the interval from onset to diagnosis gradually shortened. The median intervals from diagnosis to death and symptom onset to deaths were 6.0 (2.0–11.0), 17.0 (12.0–22.0) days, respectively. Most of the disease was centralized in central urban area with highest death rate in Jianghan District. CONCLUSION: COVID-19 poses a greater threat to the elderly people and men with more devastating effects, particularly in the presence of underlying diseases. The geographical distributions show that the epidemic in the central area of Wuhan is more serious than that in the surrounding areas. Analysis of deaths as of February 24 indicates that a tremendous improvement of COVID-19 epidemic in Wuhan has achieved by effective control measures taken by Wuhan Government. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41256-020-00183-y.
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spelling pubmed-77503922020-12-21 The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China Bai, Jianjun Shi, Fang Cao, Jinhong Wen, Haoyu Wang, Fang Mubarik, Sumaira Liu, Xiaoxue Yu, Yong Ding, Jianbo Yu, Chuanhua Glob Health Res Policy Research OBJECTIVES: To analyze the epidemiological characteristics of COVID-19 related deaths in Wuhan, China and comprehend the changing trends of this epidemic along with analyzing the prevention and control measures in Wuhan. METHODS: Through the China’s Infectious Disease Information System, we collected information about COVID-19 associated deaths from December 15, 2019 to February 24, 2020 in Wuhan. We analyzed the patient’s demographic characteristics, drew epidemiological curve and made geographic distribution maps of the death toll in each district over time, etc. ArcGIS was used to plot the numbers of daily deaths on maps. Statistical analyses were performed using SPSS and @Risk software. RESULTS: As of February 24, 2020, a total of 1833 deaths were included. Among the deaths with COVID-19, mild type accounted for the most (37.2%), followed by severe type (30.1%). The median age was 70.0 (inter quartile range: 63.0–79.0) years. Most of the deaths were distributed in 50–89 age group, whereas no deaths occurred in 0–9 age group. Additionally, the male to female ratio was 1.95:1. A total of 65.7% of the deaths in Wuhan combined with underlying diseases, and was more pronounced among males. Most of the underlying diseases included hypertension, diabetes and cardiovascular diseases. The peak of daily deaths appeared on February 14 and then declined. The median interval from symptom onset to diagnosis was 10.0 (6.0–14.0) days; the interval from onset to diagnosis gradually shortened. The median intervals from diagnosis to death and symptom onset to deaths were 6.0 (2.0–11.0), 17.0 (12.0–22.0) days, respectively. Most of the disease was centralized in central urban area with highest death rate in Jianghan District. CONCLUSION: COVID-19 poses a greater threat to the elderly people and men with more devastating effects, particularly in the presence of underlying diseases. The geographical distributions show that the epidemic in the central area of Wuhan is more serious than that in the surrounding areas. Analysis of deaths as of February 24 indicates that a tremendous improvement of COVID-19 epidemic in Wuhan has achieved by effective control measures taken by Wuhan Government. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41256-020-00183-y. BioMed Central 2020-12-21 /pmc/articles/PMC7750392/ /pubmed/33349271 http://dx.doi.org/10.1186/s41256-020-00183-y Text en © The Author(s) 2021 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/.
spellingShingle Research
Bai, Jianjun
Shi, Fang
Cao, Jinhong
Wen, Haoyu
Wang, Fang
Mubarik, Sumaira
Liu, Xiaoxue
Yu, Yong
Ding, Jianbo
Yu, Chuanhua
The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China
title The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China
title_full The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China
title_fullStr The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China
title_full_unstemmed The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China
title_short The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China
title_sort epidemiological characteristics of deaths with covid-19 in the early stage of epidemic in wuhan, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750392/
https://www.ncbi.nlm.nih.gov/pubmed/33349271
http://dx.doi.org/10.1186/s41256-020-00183-y
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