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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Statistical Methods for Surveillance and Population Health (156) Surveillance Reports (137)

Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.04.14.20063420v1, first published .
Modeling COVID-19 Latent Prevalence to Assess a Public Health Intervention at a State and Regional Scale: Retrospective Cohort Study

Modeling COVID-19 Latent Prevalence to Assess a Public Health Intervention at a State and Regional Scale: Retrospective Cohort Study

Modeling COVID-19 Latent Prevalence to Assess a Public Health Intervention at a State and Regional Scale: Retrospective Cohort Study

Authors of this article:

Philip J Turk1 Author Orcid Image ;   Shih-Hsiung Chou1 Author Orcid Image ;   Marc A Kowalkowski1 Author Orcid Image ;   Pooja P Palmer1 Author Orcid Image ;   Jennifer S Priem1 Author Orcid Image ;   Melanie D Spencer1 Author Orcid Image ;   Yhenneko J Taylor1 Author Orcid Image ;   Andrew D McWilliams1 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.