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Modeling Zika Virus Spread in Colombia Using Google Search Queries and Logistic Power Models

2018-07-09

Abstract excerpt

Public health agencies generally have a small window to respond to burgeoning disease outbreaks in order to mitigate the potential impact. There has been significant interest in developing forecasting models that can predict how and where a disease will spread. However, since clinical surveillance systems typically publish data with a lag of two or more weeks, there is a need for complimentary data streams that ca...

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Literature Corpus work
298335fb-745e-53e4-a9cf-b8ccd6cfb96e
DOI
10.1101/365155
Open publication

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Modeling Zika Virus Spread in Colombia Using Google Search Queries and Logistic Power ModelsDOI 10.1101/365155
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