About: Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China
Creator	Shi, Wei Chen, Xi Qiu, Yun
Source	MedRxiv; Medline; PMC
abstract	This paper examines the role of various socioeconomic factors in mediating the local and cross-city transmissions of the novel coronavirus 2019 (COVID-19) in China. We implement a machine learning approach to select instrumental variables that strongly predict virus transmission among the rich exogenous weather characteristics. Our 2SLS estimates show that the stringent quarantine, massive lockdown and other public health measures imposed in late January significantly reduced the transmission rate of COVID-19. By early February, the virus spread had been contained. While many socioeconomic factors mediate the virus spread, a robust government response since late January played a determinant role in the containment of the virus. We also demonstrate that the actual population flow from the outbreak source poses a higher risk to the destination than other factors such as geographic proximity and similarity in economic conditions. The results have rich implications for ongoing global efforts in containment of COVID-19.
has issue date	2020-03-17(xsd:dateTime)
bibo:doi	10.1101/2020.03.13.20035238
bibo:pmid	32511444
has license	cc-by-nc-nd
sha1sum (hex)	b9a1dbedb218e705d78b429adeba18a273f9cd58
schema:url	https://doi.org/10.1101/2020.03.13.20035238
resource representing a document's title	Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China
has PubMed Central identifier	PMC7239065
has PubMed identifier	32511444
schema:publication	medRxiv
resource representing a document's body	covid:b9a1dbedb218e705d78b429adeba18a273f9cd58#body_text
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