Please use this identifier to cite or link to this item: https://covid-19.conacyt.mx/jspui/handle/1000/1705
Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China
chunxia Cao
Yue Li
Shuyu Liu
Haojun Fan
Novel Coronavirus
Acceso Abierto
Atribución
https://doi.org/10.1017/dmp.2020.63
Coronavirus disease
Epidemiology
Novel coronavirus
Objective: This study describes the epidemiologic features of an outbreak of the coronavirus disease (COVID-19) in Tianjin caused by a novel coronavirus and provides the scientific basis for prevention and control measures. Methods: Data from COVID-19 cases were collected from daily notifications given to the National Health Commission of the People’s Republic of China and Tianjin Health Committee. All of the data were analyzed with SPSS, version 24.0 software (IBM Corp, Armonk, NY). Results: As of February 24, 2020, there have been 135 confirmed cases, 3 deaths, and 87 recoveries in Tianjin, China. he incidence of COVID-19 was 8.65/1 000 000 with a 2.22% case fatality rate. Regarding geographic distribution, the incidence was 8.82 per 1 000 000 in urban areas and 8.00 per 1 000 000 in suburbs. During the early stage of the epidemic, most cases came from urban areas and in patients with a history of sojourning in Hubei Province. The majority of patients were 31–70 years old (75.97%). A familial clustering was the most important characteristic of COVID-19 (accounting for 74.81%). Conclusions: Current information suggests that people are generally susceptible to COVID-19, which has shown a familial clustering in Tianjin.
Disaster Medicine and Public Health Preparedness
2020
Artículo
https://www.cambridge.org/core/journals/disaster-medicine-and-public-health-preparedness/article/epidemiologic-features-of-135-patients-with-coronavirus-disease-covid19-in-tianjin-china/4B6232C2E08A1BE7486BA8FE173C4900
Inglés
Epidemia COVID-19
Investigadores
VIRUS RESPIRATORIOS
Versión publicada
publishedVersion - Versión publicada
Appears in Collections:Artículos científicos

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