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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1728) Statistical Methods for Surveillance and Population Health (156) Surveillance Systems (462)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28812, first published .
Evaluation of a Parsimonious COVID-19 Outbreak Prediction Model: Heuristic Modeling Approach Using Publicly Available Data Sets

Evaluation of a Parsimonious COVID-19 Outbreak Prediction Model: Heuristic Modeling Approach Using Publicly Available Data Sets

Evaluation of a Parsimonious COVID-19 Outbreak Prediction Model: Heuristic Modeling Approach Using Publicly Available Data Sets

Authors of this article:

Agrayan K Gupta1, 2 Author Orcid Image ;   Shaun J Grannis2, 3 Author Orcid Image ;   Suranga N Kasthurirathne2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Agrayan K Gupta   1, 2 ;   Shaun J Grannis   2, 3 , MD, MS ;   Suranga N Kasthurirathne   2, 3 , PhD

1 Indiana University, Bloomington, IN, United States

2 Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States

3 School of Medicine, Indiana University, Indianapolis, IN, United States

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