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

JMIR Theme Issue: COVID-19 Special Issue (2391) Infectious Diseases (non-STD/STI) (1485) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Outbreak and Pandemic Preparedness and Management (1675) Surveillance Reports (124) Statistical Methods for Surveillance and Population Health (147)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24389, first published .
Adaptive Susceptible-Infectious-Removed Model for Continuous Estimation of the COVID-19 Infection Rate and Reproduction Number in the United States: Modeling Study

Adaptive Susceptible-Infectious-Removed Model for Continuous Estimation of the COVID-19 Infection Rate and Reproduction Number in the United States: Modeling Study

Adaptive Susceptible-Infectious-Removed Model for Continuous Estimation of the COVID-19 Infection Rate and Reproduction Number in the United States: Modeling Study

Authors of this article:

Mark B Shapiro1 Author Orcid Image ;   Fazle Karim1 Author Orcid Image ;   Guido Muscioni1 Author Orcid Image ;   Abel Saju Augustine1 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

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  2. Ferrari L, Gerardi G, Manzi G, Micheletti A, Nicolussi F, Biganzoli E, Salini S. Modeling Provincial Covid-19 Epidemic Data Using an Adjusted Time-Dependent SIRD Model. International Journal of Environmental Research and Public Health 2021;18(12):6563 View
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  8. Wazir S, Gour S, Nafis M, Khan R. Modeling infectious diseases: Understanding social connectivity to control infectious diseases. Informatics in Medicine Unlocked 2021;26:100761 View
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