This paper is in the following e-collection/theme issue:

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) HIV/AIDS/STI Prevention and Care (823) Surveillance Systems (430)

Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20588, first published .
Nowcasting Sexually Transmitted Infections in Chicago: Predictive Modeling and Evaluation Study Using Google Trends

Nowcasting Sexually Transmitted Infections in Chicago: Predictive Modeling and Evaluation Study Using Google Trends

Nowcasting Sexually Transmitted Infections in Chicago: Predictive Modeling and Evaluation Study Using Google Trends

Authors of this article:

Amy Kristen Johnson1, 2 Author Orcid Image ;   Runa Bhaumik3 Author Orcid Image ;   Irina Tabidze4 Author Orcid Image ;   Supriya D Mehta3 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Amy Kristen Johnson   1, 2 * , MSW, PhD ;   Runa Bhaumik   3 * , PhD ;   Irina Tabidze   4 * , MPH, MD ;   Supriya D Mehta   3 * , MS, PhD

1 Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States

2 Northwestern University, Chicago, IL, United States

3 School of Public Health, University of Illinois at Chicago, Chicago, IL, United States

4 Chicago Department of Public Health, Chicago, IL, United States

*all authors contributed equally

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