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

Journals

  1. Khan J, Khan J, Ali F, Ullah F, Bacha J, Lee S. Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review. IEEE Access 2022;10:62613 View

Books/Policy Documents

  1. Aquino Y, Shih P, Bosward R. International Encyclopedia of Public Health. View