Published on in Vol 6, No 12 (2022): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40825, first published
.
![State-Level COVID-19 Symptom Searches and Case Data: Quantitative Analysis of Political Affiliation as a Predictor for Lag Time Using Google Trends and Centers for Disease Control and Prevention Data State-Level COVID-19 Symptom Searches and Case Data: Quantitative Analysis of Political Affiliation as a Predictor for Lag Time Using Google Trends and Centers for Disease Control and Prevention Data](https://asset.jmir.pub/assets/1d89bf079ac52460b6494ca9e11079fc.png 480w,https://asset.jmir.pub/assets/1d89bf079ac52460b6494ca9e11079fc.png 960w,https://asset.jmir.pub/assets/1d89bf079ac52460b6494ca9e11079fc.png 1920w,https://asset.jmir.pub/assets/1d89bf079ac52460b6494ca9e11079fc.png 2500w)
There are no citations yet available for this article according to Crossref .