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

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Bibliographic Details
Title: Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic.
Authors: Greene SK; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, United States., McGough SF; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States.; Genentech, Inc, South San Francisco, CA, United States., Culp GM; Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene, Long Island City, NY, United States., Graf LE; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, United States., Lipsitch M; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States., Menzies NA; Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, United States., Kahn R; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States.
Source: JMIR public health and surveillance [JMIR Public Health Surveill] 2021 Jan 15; Vol. 7 (1), pp. e25538. Date of Electronic Publication: 2021 Jan 15.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101669345 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-2960 (Electronic) Linking ISSN: 23692960 NLM ISO Abbreviation: JMIR Public Health Surveill Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2369-2960
DOI:10.2196/25538