Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25538, first published .
Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic

Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic

Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic

Sharon K Greene   1 , PhD, MPH ;   Sarah F McGough   2, 3 , PhD ;   Gretchen M Culp   4 , PhD ;   Laura E Graf   1 , MPH ;   Marc Lipsitch   2 , DPhil ;   Nicolas A Menzies   5 , PhD ;   Rebecca Kahn   2 , MS, PhD

1 Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, United States

2 Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States

3 Genentech, Inc, South San Francisco, CA, United States

4 Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene, Long Island City, NY, United States

5 Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, United States

Corresponding Author:

  • Sharon K Greene, PhD, MPH
  • Bureau of Communicable Disease
  • New York City Department of Health and Mental Hygiene
  • 42-09 28th Street
  • CN 22A, WS 06-154
  • Long Island City, NY, 11101
  • United States
  • Phone: 1 347-396-2679
  • Fax: 1 347-396-2753
  • Email: sgreene4@health.nyc.gov