About: County-level factors influence the trajectory of Covid-19 incidence

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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	County-level factors influence the trajectory of Covid-19 incidence
Creator	Affiliations, Kranjac, A Kranjac, D
Source	MedRxiv
abstract	With new cases of Covid-19 surging in the United States, we need to better understand how the spread of novel coronavirus varies across all segments of the population. We use hierarchical exponential growth curve modeling techniques to examine whether community social and economic characteristics uniquely influence the incidence of Covid-19 cases in the urban built environment. We show that, as of May 3, 2020, confirmed coronavirus infections are concentrated along demographic and socioeconomic lines in New York City and surrounding areas, the epicenter of the Covid-19 pandemic in the United States. Furthermore, we see evidence that, after the onset of the pandemic, timely enactment of physical distancing measures such as school closures is imperative in order to limit the extent of the coronavirus spread in the population. Public health authorities must impose nonpharmaceutical measures early on in the pandemic and consider community-level factors that associate with a greater risk of viral transmission.
has issue date	2020-05-09(xsd:dateTime)
bibo:doi	10.1101/2020.05.05.20092254
has license	medrxiv
sha1sum (hex)	d79e9e36cd9f5432f246877c1f1bee49aeaf0b45
schema:url	https://doi.org/10.1101/2020.05.05.20092254
resource representing a document's title	County-level factors influence the trajectory of Covid-19 incidence
resource representing a document's body	covid:d79e9e36cd9f5432f246877c1f1bee49aeaf0b45#body_text
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