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Volume 28, Supplement—December 2022

Lessons Learned from CDC’s Global COVID-19 Early Warning and Response Surveillance System

Philip M. RicksComments to Author , Gibril J. Njie, Fatimah S. Dawood, Amy E. Blain, Alison Winstead, Adebola Popoola, Cynthia Jones, Chaoyang Li, James Fuller, Puneet Anantharam, Natalie Olson, Allison Taylor Walker, Matthew Biggerstaff, Barbara J. Marston, Ray R. Arthur, Sarah D. Bennett, and Ronald L. Moolenaar
Author affiliations: Centers for Disease Control and Prevention, Atlanta, Georgia, USA (P.M. Ricks, G.J. Njie, F.S. Dawood, A.E. Blain, A. Winstead, A. Popoola, C. Li, J. Fuller, P. Anantharam, N. Olson, A. Taylor Walker, M. Biggerstaff, B.J. Marston, R.R. Arthur, S.D. Bennett, R.L. Moolenaar); Agency for Toxic Substances and Disease Registry, Atlanta (C. Jones)

Main Article

Table 1

Comparison of surveillance methodology among the 4 global COVID-19 surveillance systems used in an evaluation of CDC’s global COVID-19 EWARS system*

Only report on confirmed cases and deaths Y Y Y Y
Case-level data Y Y N Y
Data cutoff time 11:59 PM ET 5 AM ET Evening 5 AM ET
Reporting time Morning, next day Afternoon, same day Evening, same day Afternoon, same day

*CDC, Centers for Disease Control and Prevention; EBS, event-based surveillance; ECDC, European Centres for Disease Control; EWAR, early warning and response; EWARS, Early Warning and Response System; IBS, indicator-based surveillance; JHU, Johns Hopkins University Center for Systems Science and Engineering; WHO, World Health Organization.

Main Article

Page created: June 01, 2022
Page updated: August 16, 2022
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