About: Evolving Epidemiology and Effect of Non-pharmaceutical Interventions on the Epidemic of Coronavirus Disease 2019 in Shenzhen, China

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About: Evolving Epidemiology and Effect of Non-pharmaceutical Interventions on the Epidemic of Coronavirus Disease 2019 in Shenzhen, China Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Evolving Epidemiology and Effect of Non-pharmaceutical Interventions on the Epidemic of Coronavirus Disease 2019 in Shenzhen, China
Creator	Li, Yuan Chen, Tianmu Wen, Ying Feng, Tiejian Zhang, Zhen Wei, Lan Xie, Xu Wu, Yu Tang, Xiujuan Wu, Xiaoliang Zou, Xuan Huang, Suli Liu, Xiaojian Wu, Yongsheng Kong, Dongfeng Lv, Ziquan Yu, Shuyuan Zhou, Guohong
Source	MedRxiv
abstract	Previous studies have demonstrated the characteristics of patients with 2019 novel coronavirus disease (COVID-19). However, the effect of non-pharmaceutical interventions on the epidemic in Shenzhen, China remains unknown. Individual data of 417 cases were extracted from the epidemiological investigations and the National Infectious Disease Information System between January 1, 2020 and February 29, 2020. On the basis of important interventions, the epidemic was divided into four periods (January 1-15, January 16-22, January 23-February 5 and after February 6). We used a susceptible-exposed-infectious-asymptomatic-recovered model to evaluate the effect of interventions. Results suggested that about 53.7% were imported from Wuhan. The median age was 47 years and 52.8% were women. Severity risk increased with age and associated with male and co-existing disorders. The attack rate peaked in the third period and drastically decreased afterwards across sex, age groups and geographic regions. Children younger than 5 years showed a higher attack rate than those aged of 6~19. The effective reproductive number decreased from 1.44 to 0.05 after the highest level emergency response since January 23. Overall, the non-pharmaceutical interventions have effectively mitigated the COVID-19 outbreak in Shenzhen, China. These findings may facilitate the introduction of public health policies in other countries and regions.
has issue date	2020-05-13(xsd:dateTime)
bibo:doi	10.1101/2020.05.09.20084202
has license	medrxiv
sha1sum (hex)	ef00840aea57d3a540fc04062cf70f7690738740
schema:url	https://doi.org/10.1101/2020.05.09.20084202
resource representing a document's title	Evolving Epidemiology and Effect of Non-pharmaceutical Interventions on the Epidemic of Coronavirus Disease 2019 in Shenzhen, China
resource representing a document's body	covid:ef00840aea57d3a540fc04062cf70f7690738740#body_text
is schema:about of	named entity 'public health' named entity 'Wuhan' named entity 'data' named entity 'higher' named entity 'mitigated' named entity 'basis' named entity 'February 29' named entity 'Shenzhen' named entity 'CHILDREN' named entity 'RESPONSE' named entity 'BASIS' named entity 'SEVERITY' named entity 'EXTRACTED' named entity 'NON-' named entity 'NATIONAL' named entity 'EPIDEMIC' named entity 'RISK' named entity 'DEMONSTRATED' named entity 'PERIODS' named entity 'MODEL' named entity 'EVALUATE' named entity 'ACROSS' named entity 'INTERVENTIONS' named entity 'effective' named entity 'effectively' named entity 'evaluate' named entity 'China' named entity 'studies' named entity 'reproductive number' named entity 'attack rate' named entity 'asymptomatic' named entity 'coronavirus disease' named entity 'emergency response' named entity 'pharmaceutical' named entity 'China' named entity 'attack rate' named entity 'pharmaceutical' named entity 'periods' named entity 'January' named entity 'Runge-Kutta method' named entity 'regression analysis' named entity 'Shenzhen' named entity 'transmissibility' named entity 'COVID-19 outbreak' named entity 'infectious disease' named entity 'medRxiv' named entity 'public health' named entity 'transmission rate' named entity 'COVID-19' named entity 'pneumonia' named entity 'Shenzhen' named entity 'cardiovascular diseases' named entity 'cordon sanitaire' named entity 'Coronavirus Disease 2019' named entity 'February 6' named entity 'COVID-19' named entity 'curve fitting' named entity 'local transmission' named entity 'incubation period' named entity 'epidemiology' named entity 'George Oster' named entity 'asymptomatic patients' named entity 'January 10' named entity 'transmission rate' named entity 'CFR' named entity 'Guangdong' named entity 'CFR' named entity 'social distancing'

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