About: Differential COVID-19 case positivity in New York City neighborhoods: socioeconomic factors and mobility

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Differential COVID-19 case positivity in New York City neighborhoods: socioeconomic factors and mobility
Creator	Shaman, Jeffrey Kandula, Sasikiran Lamb, Matthew
Source	MedRxiv; Medline
abstract	New York City has been one of the hotspots of the COVID-19 pandemic and during the first two months of the outbreak considerable variability in case positivity was observed across the city's ZIP codes. In this study, we examined: a) the extent to which the variability in ZIP code level cases can be explained by aggregate markers of socioeconomic status and daily change in mobility; and b) the extent to which daily change in mobility independently predicts case positivity. Our analysis indicates that the markers considered together explained 56% of the variability in case positivity through April 1 and their explanatory power decreased to 18% by April 30. Our analysis also indicates that changes in mobility during this time period are not likely to be acting as a mediator of the relationship between ZIP-level SES and case positivity. During the middle of April, increases in mobility were independently associated with decreased case positivity. Together, these findings present evidence that heterogeneity in COVID-19 case positivity in New York City is largely driven by neighborhood socioeconomic status.
has issue date	2020-07-02(xsd:dateTime)
bibo:doi	10.1101/2020.07.01.20144188
bibo:pmid	32637970
has license	medrxiv
sha1sum (hex)	e936a1198f00a09447d63cec420de3abb4bda2ed
schema:url	https://doi.org/10.1101/2020.07.01.20144188
resource representing a document's title	Differential COVID-19 case positivity in New York City neighborhoods: socioeconomic factors and mobility
has PubMed identifier	32637970
schema:publication	medRxiv : the preprint server for health sciences
resource representing a document's body	covid:e936a1198f00a09447d63cec420de3abb4bda2ed#body_text
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