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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) JMIR Theme Issue: COVID-19 Special Issue (2394) Infectious Diseases (non-STD/STI) (1490) Outbreak and Pandemic Preparedness and Management (1679) Statistical Methods for Surveillance and Population Health (148) Surveillance Reports (124)

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

Journals

  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
  7. Yin Z, Xiao H, McDonald S, Brusic V, Qiu T. Dynamically adjustable SVEIR(MH) model of multiwave epidemics: Estimating the effects of public health measures against COVID‐19. Journal of Medical Virology 2023;95(12) View
  8. Turk P, Anderson W, Burns R, Chou S, Dobbs T, Kearns J, Lirette S, McCarter M, Nguyen H, Passaretti C, Rose G, Stephens C, Zhao J, McWilliams A. A regionally tailored epidemiological forecast and monitoring program to guide a healthcare system in the COVID-19 pandemic. Journal of Infection and Public Health 2024;17(6):1125 View