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Volume 22, Number 10—October 2016
Online Report

Global Capacity for Emerging Infectious Disease Detection, 1996–2014

Sheryl A. KlubergComments to Author , Sumiko R. Mekaru, David J. McIver, Lawrence C. Madoff, Adam W. Crawley, Mark S. Smolinski, and John S. Brownstein
Author affiliations: Boston Children’s Hospital, Boston, Massachusetts, USA (S.A. Kluberg, S.R. Mekaru, D.J. McIver, J.S. Brownstein); ProMED-mail, Brookline, Massachusetts, USA (L.C. Madoff); University of Massachusetts Medical School, Worcester, Massachusetts, USA (L.C. Madoff); Massachusetts Department of Public Health, Boston (L.C. Madoff); Skoll Global Threats Fund, San Francisco, California, USA (A.W. Crawley, M.S. Smolinski)

Main Article

Table 8

Results of univariate Cox proportional hazards regression analyses by quartile of polity, 1996–2014

Polity quartile No. outbreaks* Days to discovery hazard ratio (95% CI) No. outbreaks* Days to communication hazard ratio (95% CI)
Q1: Highest polity 67 1.04 (0.99–1.10) 67 1.01 (0.96–1.06)
Q2: High-intermediate 84 1.04 (1.00–1.09) 87 1.00 (0.96–1.05)
Q3: Low-intermediate 67 1.06 (1.00–1.13)† 67 1.05 (0.99–1.11)
Q4: Lowest polity 87 1.08 (1.04–1.13)† 88 1.03 (1.00–1.07)

*Quartiles are uneven because polity score is ordinal, not continuous.
†Statistically significant (α = 0.05).

Main Article

Page created: September 27, 2016
Page updated: September 27, 2016
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