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Tracking U.S. Pertussis Incidence: Correlation of Public Health Surveillance and Google Search Data Varies by State.


ABSTRACT: The Morbidity and Mortality Weekly Reports of the U.S. Centers for Disease Control and Prevention document a raw proxy for counts of pertussis cases in the U.S., and the Project Tycho (PT) database provides an improved source of these weekly data. These data are limited because of reporting delays, variation in state-level surveillance practices, and changes over time in diagnosis methods. We aim to assess whether Google Trends (GT) search data track pertussis incidence relative to PT data and if sociodemographic characteristics explain some variation in the accuracy of state-level models. GT and PT data were used to construct auto-correlation corrected linear models for pertussis incidence in 2004-2011 for the entire U.S. and each individual state. The national model resulted in a moderate correlation (adjusted R2?=?0.2369, p?

SUBMITTER: Arehart CH 

PROVIDER: S-EPMC6930253 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Tracking U.S. Pertussis Incidence: Correlation of Public Health Surveillance and Google Search Data Varies by State.

Arehart Christopher H CH   David Michael Z MZ   Dukic Vanja V  

Scientific reports 20191224 1


The Morbidity and Mortality Weekly Reports of the U.S. Centers for Disease Control and Prevention document a raw proxy for counts of pertussis cases in the U.S., and the Project Tycho (PT) database provides an improved source of these weekly data. These data are limited because of reporting delays, variation in state-level surveillance practices, and changes over time in diagnosis methods. We aim to assess whether Google Trends (GT) search data track pertussis incidence relative to PT data and i  ...[more]

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