z-logo
open-access-imgOpen Access
Assessment of Coronavirus Disease 2019 Community Containment Strategies in Shenzhen, China
Author(s) -
Xiaoming Zhang,
Hui-Er Zhou,
Wen-Wu Zhang,
Qing-Li Dou,
Ye Li,
Jian Wei,
Rui Hu,
Jiangping Liu,
Andy S. K. Cheng
Publication year - 2020
Publication title -
jama network open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.278
H-Index - 39
ISSN - 2574-3805
DOI - 10.1001/jamanetworkopen.2020.12934
Subject(s) - china , containment (computer programming) , covid-19 , coronavirus , virology , disease , geography , environmental health , outbreak , medicine , computer science , infectious disease (medical specialty) , pathology , archaeology , programming language
Key Points Question Which community preventive measures were implemented in a Chinese city to address the coronavirus disease 2019 (COVID-19) pandemic, and were they associated with limited community transmission? Findings This retrospective case series included 7 imported COVID-19 cases and 800 individuals at high risk. After the implementation of community measures, no locally acquired case of COVID-19 with indirect links to confirmed cases was identified in the community. Meaning The findings of this study suggest that the implementation of community containment strategies by a multidisciplinary team may limit the community transmission of COVID-19.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom