Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, China

Abstract Background Coronavirus Disease 2019 (COVID-19) spread rapidly around the world. We aimed to describe the epidemiological characteristics and the entire evolution of COVID-19 in Wuhan, and to evaluate the effect of non-pharmaceutical intervention by the government. Methods The information of...

Full description

Bibliographic Details
Main Authors: Dongming Wang, Jing Cai, Tingming Shi, Yang Xiao, Xiaobing Feng, Meng Yang, Wenzhen Li, Wei Liu, Linling Yu, Zi Ye, Tao Xu, Jixuan Ma, Mingyan Li, Weihong Chen
Format: Article
Language:English
Published: BMC 2020-10-01
Series:Respiratory Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12931-020-01525-7
_version_ 1818139832028758016
author Dongming Wang
Jing Cai
Tingming Shi
Yang Xiao
Xiaobing Feng
Meng Yang
Wenzhen Li
Wei Liu
Linling Yu
Zi Ye
Tao Xu
Jixuan Ma
Mingyan Li
Weihong Chen
author_facet Dongming Wang
Jing Cai
Tingming Shi
Yang Xiao
Xiaobing Feng
Meng Yang
Wenzhen Li
Wei Liu
Linling Yu
Zi Ye
Tao Xu
Jixuan Ma
Mingyan Li
Weihong Chen
author_sort Dongming Wang
collection DOAJ
description Abstract Background Coronavirus Disease 2019 (COVID-19) spread rapidly around the world. We aimed to describe the epidemiological characteristics and the entire evolution of COVID-19 in Wuhan, and to evaluate the effect of non-pharmaceutical intervention by the government. Methods The information of COVID-19 cases until Mar 18, 2020 in Wuhan were collected from the national infectious disease surveillance system in Hubei province. Results A total of 49,973 confirmed cases were reported until Mar 18, 2020 in Wuhan. Among whom, 2496 cases died and the overall mortality was 5.0%. Most confirmed cases (25,619, 51.3%) occurred during Jan 23 to Feb 4, with a spike on Feb 1 (new cases, 3374). The number of daily new cases started to decrease steadily on Feb 19 (new cases, 301) and decreased greatly on Mar 1 (new cases, 57). However, the mortality and the proportion of severe and critical cases has been decreasing over time, with the lowest of 2.0 and 10.1% during Feb 16 to Mar 18, 2020, respectively. The percentage of severe and critical cases among all cases was 19.6%, and the percentage of critical and dead cases aged over 60 was 70.1 and 82.0%, respectively. Conclusion The number of new cases has dropped significantly after the government taking the isolation of four types of personnel and the community containment for 14 days. Our results indicate that the mortality and proportion of severe and critical cases gradually decreased over time, and critical and dead cases are more incline to be older individuals.
first_indexed 2024-12-11T10:34:21Z
format Article
id doaj.art-193bf32299ba4907be50adc066159700
institution Directory Open Access Journal
issn 1465-993X
language English
last_indexed 2024-12-11T10:34:21Z
publishDate 2020-10-01
publisher BMC
record_format Article
series Respiratory Research
spelling doaj.art-193bf32299ba4907be50adc0661597002022-12-22T01:10:46ZengBMCRespiratory Research1465-993X2020-10-012111810.1186/s12931-020-01525-7Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, ChinaDongming Wang0Jing Cai1Tingming Shi2Yang Xiao3Xiaobing Feng4Meng Yang5Wenzhen Li6Wei Liu7Linling Yu8Zi Ye9Tao Xu10Jixuan Ma11Mingyan Li12Weihong Chen13Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyInstitute of Preventive Medicine Information, Hubei Provincial Center for Disease Control and PreventionDivision of Human Resources, Science and Education, Hubei Provincial Center for Disease Control and PreventionDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyInstitute of Preventive Medicine Information, Hubei Provincial Center for Disease Control and PreventionDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and TechnologyAbstract Background Coronavirus Disease 2019 (COVID-19) spread rapidly around the world. We aimed to describe the epidemiological characteristics and the entire evolution of COVID-19 in Wuhan, and to evaluate the effect of non-pharmaceutical intervention by the government. Methods The information of COVID-19 cases until Mar 18, 2020 in Wuhan were collected from the national infectious disease surveillance system in Hubei province. Results A total of 49,973 confirmed cases were reported until Mar 18, 2020 in Wuhan. Among whom, 2496 cases died and the overall mortality was 5.0%. Most confirmed cases (25,619, 51.3%) occurred during Jan 23 to Feb 4, with a spike on Feb 1 (new cases, 3374). The number of daily new cases started to decrease steadily on Feb 19 (new cases, 301) and decreased greatly on Mar 1 (new cases, 57). However, the mortality and the proportion of severe and critical cases has been decreasing over time, with the lowest of 2.0 and 10.1% during Feb 16 to Mar 18, 2020, respectively. The percentage of severe and critical cases among all cases was 19.6%, and the percentage of critical and dead cases aged over 60 was 70.1 and 82.0%, respectively. Conclusion The number of new cases has dropped significantly after the government taking the isolation of four types of personnel and the community containment for 14 days. Our results indicate that the mortality and proportion of severe and critical cases gradually decreased over time, and critical and dead cases are more incline to be older individuals.http://link.springer.com/article/10.1186/s12931-020-01525-7Coronavirus disease 2019 (COVID-19)Epidemiological characteristicsEvolutionNon-pharmaceutical interventions
spellingShingle Dongming Wang
Jing Cai
Tingming Shi
Yang Xiao
Xiaobing Feng
Meng Yang
Wenzhen Li
Wei Liu
Linling Yu
Zi Ye
Tao Xu
Jixuan Ma
Mingyan Li
Weihong Chen
Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, China
Respiratory Research
Coronavirus disease 2019 (COVID-19)
Epidemiological characteristics
Evolution
Non-pharmaceutical interventions
title Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, China
title_full Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, China
title_fullStr Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, China
title_full_unstemmed Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, China
title_short Epidemiological characteristics and the entire evolution of coronavirus disease 2019 in Wuhan, China
title_sort epidemiological characteristics and the entire evolution of coronavirus disease 2019 in wuhan china
topic Coronavirus disease 2019 (COVID-19)
Epidemiological characteristics
Evolution
Non-pharmaceutical interventions
url http://link.springer.com/article/10.1186/s12931-020-01525-7
work_keys_str_mv AT dongmingwang epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT jingcai epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT tingmingshi epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT yangxiao epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT xiaobingfeng epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT mengyang epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT wenzhenli epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT weiliu epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT linlingyu epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT ziye epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT taoxu epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT jixuanma epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT mingyanli epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina
AT weihongchen epidemiologicalcharacteristicsandtheentireevolutionofcoronavirusdisease2019inwuhanchina