Lessons Learned from CDC’s Global COVID-19 Early Warning and Response Surveillance System
Philip M. Ricks
, 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)
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Figure 5
Figure 5. Scatterplot showing differences in individual country COVID-19 cumulative case-counts outside of mainland China and the United States between JHU, WHO, or ECDC systems, and CDC EWARS system during epidemiologic weeks 3–9, January 20–March 7, 2020. A value of zero indicates CDC EWARS and the other system had the same number of weekly cumulative cases for a given country; a negative value means that CDC EWARS reported a higher number of cases; and a positive value means that the other surveillance system reported more cases than CDC EWARS. Differences of >50 cases between CDC EWARS and WHO or ECDC for cumulative country case counts occurred in 6% (18/295) of instances, and between CDC EWARS and JHU in 1% (4/295) of instances. CDC EWARS, US Centers for Disease Control and Prevention global COVID-19 Early Warning and Response Surveillance system; ECDC, European Centers for Disease Control; JHU, Johns Hopkins University Center for Systems Science and Engineering; WHO, World Health Organization.
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