Monitoring Coronavirus Disease 2019 (COVID-19) Through Trends in Influenza-like Illness, Laboratory-confirmed Influenza, and COVID-19 New York State, Excluding New York City, 1 January 2020-12 April 2020

• Type of Material: Article
• Authors: Eli Rosenberg, Emory University; Eric W. Hall, Emory University; Elizabeth M. Rosenthal, SUNY Albany; Angela M. Maxted, New York State Department of Health; Donna L. Gowie, New York State Department of Health; Elizabeth M. Dufort, New York State Department of Health; Debra S. Blog, New York State Department of Health; Dina Hoefer, New York State Department of Health; Kirsten St George, New York State Department of Health; Brad J. Hutton, New York State Department of Health; Howard A. Zucker, New York State Department of Health
• Language: English
• Date: 2021-01-01
• Publisher: OXFORD UNIV PRESS INC
• Publication Version: Final Published Version
• Copyright Statement: © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.
• Final Published Version (URL): http://dx.doi.org/10.1093/cid/ciaa684
• Title of Journal or Parent Work: CLINICAL INFECTIOUS DISEASES
• Volume: 72
• Issue: 1
• Start Page: 144
• End Page: 147
• Keywords: influenza; Science & Technology; Life Sciences & Biomedicine; epidemiological monitoring; Immunology; New York; Infectious Diseases; COVID-19; Microbiology
• Research Categories: Health Sciences, Public Health; Biology, Virology; Biology, Microbiology; Health Sciences, Epidemiology

Abstract

Innovative monitoring approaches are needed to track the coronavirus disease 2019 (COVID-19) epidemic and potentially assess the impact of community mitigation interventions. We present temporal data on influenza-like illness, influenza diagnosis, and COVID-19 cases for all 4 regions of New York State through the first 6 weeks of the outbreak.