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中国四川省 COVID-19 模式:描述性流行病学分析。

Pattern of COVID-19 in Sichuan province, China: A descriptive epidemiological analysis.

机构信息

School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Doctor of Department of Rehabilitation Medicine, Second people's Hospital of Ya'an City, Ya'an City, Sichuan, China.

出版信息

PLoS One. 2020 Nov 5;15(11):e0241470. doi: 10.1371/journal.pone.0241470. eCollection 2020.

Abstract

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.

摘要

本研究描述了中国四川省 487 例确诊的 2019 年冠状病毒病(COVID-19)病例的流行病学特征,旨在提供流行病学证据以支持公共卫生决策。2020 年 1 月 21 日至 4 月 17 日,我们从四川省 21 个区(包括 18 个城市、3 个自治州)卫生委员会的官方网站上收集了 487 例 COVID-19 病例的流行病学信息。我们重点关注单日确诊、人口统计学特征(性别和年龄)、地域分布、潜伏期和症状。单日确诊 COVID-19 病例数于 1 月 29 日(33 例)达到峰值,随后逐渐下降。成都(121 例)、达州(39 例)、南充(37 例)和甘孜藏族自治州(78 例)共占四川省病例总数的 275 例(56.5%)。患者的中位年龄为 44.0 岁,男性占 52.6%。有湖北居住史或旅行史、密切接触史、输入性病例和不明原因的分别为 170 例(34.9%)、136 例(27.9%)、21 例(4.3%)和 160 例(32.9%)。本地病例发病至实验室确诊的间隔为 4.0 天,输入性病例为 4.5 天。发病最常见的症状是发热(71.9%)和咳嗽(35.9%)。四川省 COVID-19 的增长率已显著下降。新感染病例已从武汉居住史或旅行史和密切接触者转移到输入性病例。有必要密切监测输入性病例的身体状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec08/7644260/7e755f6dd7c0/pone.0241470.g001.jpg

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