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dc.contributor.authorNsoesie, Elaine Okanyene
dc.contributor.authorRader, Benjamin
dc.contributor.authorBarnoon, Yiyao L.
dc.contributor.authorGoodwin, Lauren
dc.contributor.authorBrownstein, John
dc.date.accessioned2020-06-08T11:36:28Z
dc.identifier.citationNsoesie, Elaine Okanyene, Benjamin Rader, Yiyao L. Barnoon, Lauren Goodwin, and John S. Brownstein. Analysis of hospital traffic and search engine data in Wuhan China indicates early disease activity in the Fall of 2019 (2020).en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:42669767*
dc.description.abstractThe global COVID-19 pandemic was originally linked to a zoonotic spillover event in Wuhan’s Huanan Seafood Market in November or December of 2019. However, recent evidence suggests that the virus may have already been circulating at the time of the outbreak. Here we use previously validated data streams - satellite imagery of hospital parking lots and Baidu search queries of disease related terms - to investigate this possibility. We observe an upward trend in hospital traffic and search volume beginning in late Summer and early Fall 2019. While queries of the respiratory symptom “cough” show seasonal fluctuations coinciding with yearly influenza seasons, “diarrhea” is a more COVID-19 specific symptom and only shows an association with the current epidemic. The increase of both signals precede the documented start of the COVID-19 pandemic in December, highlighting the value of novel digital sources for surveillance of emerging pathogensen_US
dc.language.isoen_USen_US
dash.licenseLAA
dc.titleAnalysis of hospital traffic and search engine data in Wuhan China indicates early disease activity in the Fall of 2019en_US
dc.typeJournal Articleen_US
dc.description.versionAuthor's Originalen_US
dash.depositing.authorBrownstein, John
dc.date.available2020-06-08T11:36:28Z
dash.contributor.affiliatedRader, Benjamin
dash.contributor.affiliatedGoodwin, Lauren
dash.contributor.affiliatedBrownstein, John


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