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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1360) JMIR Theme Issue: COVID-19 Special Issue (2166) Infectious Diseases (non-STD/STI) (1252) Outbreak and Pandemic Preparedness and Management (1491) Statistical Methods for Surveillance and Population Health (115) Surveillance Reports (93)

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 Turk 1 Author Orcid Image ;   Shih-Hsiung Chou 1 Author Orcid Image ;   Marc A Kowalkowski 1 Author Orcid Image ;   Pooja P Palmer 1 Author Orcid Image ;   Jennifer S Priem 1 Author Orcid Image ;   Melanie D Spencer 1 Author Orcid Image ;   Yhenneko J Taylor 1 Author Orcid Image ;   Andrew D McWilliams 1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

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  1. Shapiro M, Karim F, Muscioni G, Augustine A. Adaptive Susceptible-Infectious-Removed Model for Continuous Estimation of the COVID-19 Infection Rate and Reproduction Number in the United States: Modeling Study. Journal of Medical Internet Research 2021;23(4):e24389 View
  2. Lynch C, Gore R. Short-Range Forecasting of COVID-19 During Early Onset at County, Health District, and State Geographic Levels Using Seven Methods: Comparative Forecasting Study. Journal of Medical Internet Research 2021;23(3):e24925 View
  3. Shankar S, Mohakuda S, Kumar A, Nazneen P, Yadav A, Chatterjee K, Chatterjee K. Systematic review of predictive mathematical models of COVID-19 epidemic. Medical Journal Armed Forces India 2021;77:S385 View
  4. Soller J, Jennings W, Schoen M, Boehm A, Wigginton K, Gonzalez R, Graham K, McBride G, Kirby A, Mattioli M. Modeling infection from SARS-CoV-2 wastewater concentrations: promise, limitations, and future directions. Journal of Water and Health 2022;20(8):1197 View
  5. McGregor G, Tippett J, Wan A, Wang M, Wong S. Comparing regional and provincial-wide COVID-19 models with physical distancing in British Columbia. AIMS Mathematics 2022;7(4):6743 View
  6. Wood R, Pratt A, Murch B, Powell A, Booton R, Thomas D, Twigger J, Diakou E, Coleborn S, Manning T, Davies C, Turner K. Establishing an SEIR-based framework for local modelling of COVID-19 infections, hospitalisations and deaths. Health Systems 2021;10(4):337 View