Nowcasting Sexually Transmitted Infections in Chicago: Predictive Modeling and Evaluation Study Using Google Trends
BackgroundSexually transmitted infections (STIs) pose a significant public health challenge in the United States. Traditional surveillance systems are adversely affected by data quality issues, underreporting of cases, and reporting delays, resulting in missed prevention oppo...
Main Authors: | Johnson, Amy Kristen, Bhaumik, Runa, Tabidze, Irina, Mehta, Supriya D |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-11-01
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Series: | JMIR Public Health and Surveillance |
Online Access: | http://publichealth.jmir.org/2020/4/e20588/ |
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