Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis.
This study described the epidemiology of 487 confirmed coronavirus disease 2019 (COVID-19) cases in Sichuan province of China, and aimed to provide epidemiological evidence to support public health decision making. Epidemiological information of 487 COVID-19 cases were collected from the official we...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0241470 |
_version_ | 1797959057104961536 |
---|---|
author | Hongfei Song Xiaoren Cao Hua Ye Li He Guiyu Li Tingjun Wan Dong Wang Yuqiao Liu Zonghai Huang Baixue Li Li Wen Yue Su Cen Jiang Quansheng Feng |
author_facet | Hongfei Song Xiaoren Cao Hua Ye Li He Guiyu Li Tingjun Wan Dong Wang Yuqiao Liu Zonghai Huang Baixue Li Li Wen Yue Su Cen Jiang Quansheng Feng |
author_sort | Hongfei Song |
collection | DOAJ |
description | This study described the epidemiology of 487 confirmed coronavirus disease 2019 (COVID-19) cases in Sichuan province of China, and aimed to provide epidemiological evidence to support public health decision making. Epidemiological information of 487 COVID-19 cases were collected from the official websites of 21 districts (including 18 cities, 3 autonomous prefecture) health commissions within Sichuan between 21st of January 2020 to 17th of April 2020. We focus on the single-day diagnosis, demographics (gender and age), regional distribution, incubation period and symptoms. The number of single-day confirmed COVID-19 cases reach a peak on January 29 (33 cases), and then decreased. Chengdu (121 cases), Dazhou (39 cases) Nanchong (37 cases) and Ganzi Tibetan Autonomous Prefecture (78 cases) contributed 275 cases (56.5% of the total cases) of Sichuan province. The median age of patients was 44.0 years old and 52.6% were male. The history of living in or visiting Hubei, close contact, imported and unknown were 170 cases (34.9%), 136 cases (27.9%), 21 cases (4.3%) and 160 cases (32.9%) respectively. The interval from the onset of initial symptoms to laboratory diagnosis was 4.0 days in local cases, while that of imported cases was 4.5 days. The most common symptoms of illness onset were fever (71.9%) and cough (35.9%). The growth rate of COVID-19 in Sichuan has significantly decreased. New infected cases have shifted from the living in or visiting Wuhan and close contact to imported. It is necessary to closely monitor the physical condition of imported cases. |
first_indexed | 2024-04-11T00:28:29Z |
format | Article |
id | doaj.art-7a640f0abb8c481b8816669c60279f65 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-11T00:28:29Z |
publishDate | 2020-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-7a640f0abb8c481b8816669c60279f652023-01-08T05:31:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011511e024147010.1371/journal.pone.0241470Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis.Hongfei SongXiaoren CaoHua YeLi HeGuiyu LiTingjun WanDong WangYuqiao LiuZonghai HuangBaixue LiLi WenYue SuCen JiangQuansheng FengThis study described the epidemiology of 487 confirmed coronavirus disease 2019 (COVID-19) cases in Sichuan province of China, and aimed to provide epidemiological evidence to support public health decision making. Epidemiological information of 487 COVID-19 cases were collected from the official websites of 21 districts (including 18 cities, 3 autonomous prefecture) health commissions within Sichuan between 21st of January 2020 to 17th of April 2020. We focus on the single-day diagnosis, demographics (gender and age), regional distribution, incubation period and symptoms. The number of single-day confirmed COVID-19 cases reach a peak on January 29 (33 cases), and then decreased. Chengdu (121 cases), Dazhou (39 cases) Nanchong (37 cases) and Ganzi Tibetan Autonomous Prefecture (78 cases) contributed 275 cases (56.5% of the total cases) of Sichuan province. The median age of patients was 44.0 years old and 52.6% were male. The history of living in or visiting Hubei, close contact, imported and unknown were 170 cases (34.9%), 136 cases (27.9%), 21 cases (4.3%) and 160 cases (32.9%) respectively. The interval from the onset of initial symptoms to laboratory diagnosis was 4.0 days in local cases, while that of imported cases was 4.5 days. The most common symptoms of illness onset were fever (71.9%) and cough (35.9%). The growth rate of COVID-19 in Sichuan has significantly decreased. New infected cases have shifted from the living in or visiting Wuhan and close contact to imported. It is necessary to closely monitor the physical condition of imported cases.https://doi.org/10.1371/journal.pone.0241470 |
spellingShingle | Hongfei Song Xiaoren Cao Hua Ye Li He Guiyu Li Tingjun Wan Dong Wang Yuqiao Liu Zonghai Huang Baixue Li Li Wen Yue Su Cen Jiang Quansheng Feng Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis. PLoS ONE |
title | Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis. |
title_full | Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis. |
title_fullStr | Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis. |
title_full_unstemmed | Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis. |
title_short | Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis. |
title_sort | pattern of covid 19 in sichuan province china a descriptive epidemiological analysis |
url | https://doi.org/10.1371/journal.pone.0241470 |
work_keys_str_mv | AT hongfeisong patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT xiaorencao patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT huaye patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT lihe patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT guiyuli patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT tingjunwan patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT dongwang patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT yuqiaoliu patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT zonghaihuang patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT baixueli patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT liwen patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT yuesu patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT cenjiang patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis AT quanshengfeng patternofcovid19insichuanprovincechinaadescriptiveepidemiologicalanalysis |