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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1031) HIV/AIDS/STI Prevention and Care (859) Surveillance Systems (454)

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

Journals

  1. Pilz A, Tizek L, Rüth M, Seiringer P, Biedermann T, Zink A. Interest in Sexually Transmitted Infections: Analysis of Web Search Data Terms in Eleven Large German Cities from 2015 to 2019. International Journal of Environmental Research and Public Health 2021;18(5):2771 View
  2. Wang D, Guerra A, Wittke F, Lang J, Bakker K, Lee A, Finelli L, Chen Y. Real-Time Monitoring of Infectious Disease Outbreaks with a Combination of Google Trends Search Results and the Moving Epidemic Method: A Respiratory Syncytial Virus Case Study. Tropical Medicine and Infectious Disease 2023;8(2):75 View
  3. Okunoye B, Ning S, Jemielniak D. Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends. JMIR Formative Research 2022;6(3):e29819 View
  4. Yuan K, Huang G, Wang L, Wang T, Liu W, Jiang H, Yang A. Predicting Norovirus in the United States Using Google Trends: Infodemiology Study. Journal of Medical Internet Research 2021;23(9):e24554 View
  5. Dias-Karunaratne N, Whop L, Ward J, Vujovich-Dunn C, Amin J, Dakiniewich A, Dyda A. Representation of marginalised populations in digital surveillance for notifiable conditions in Australia: a systematic review. Perspectives in Public Health 2024;144(3):162 View