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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Epidemiology (159) Outbreak and Pandemic Preparedness and Management (1727) Surveillance Systems (462) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Statistical Methods for Surveillance and Population Health (156)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24925, first published .
Short-Range Forecasting of COVID-19 During Early Onset at County, Health District, and State Geographic Levels Using Seven Methods: Comparative Forecasting Study

Short-Range Forecasting of COVID-19 During Early Onset at County, Health District, and State Geographic Levels Using Seven Methods: Comparative Forecasting Study

Short-Range Forecasting of COVID-19 During Early Onset at County, Health District, and State Geographic Levels Using Seven Methods: Comparative Forecasting Study

Authors of this article:

Christopher J Lynch1 Author Orcid Image ;   Ross Gore1 Author Orcid Image
Article Authors Cited by (23) Tweetations (9) Metrics

Christopher J Lynch   1 , PhD ;   Ross Gore   1 , PhD

1 Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA, United States

Corresponding Author:

  • Christopher J Lynch, PhD
  • Virginia Modeling, Analysis, and Simulation Center
  • Old Dominion University
  • 1030 University Blvd
  • Suffolk, VA, 23435
  • United States
  • Phone: 1 7576866248
  • Email: cjlynch@odu.edu