Global Seasonal Influenza Mortality Estimates: A Comparison of 3 Different Approaches
Author(s) -
Vanessa Cozza,
Harry Campbell,
Howard H. Chang,
A. Danielle Iuliano,
John Paget,
Neha Patel,
Robert C. Reiner,
Chris Troeger,
Cécile Viboud,
Joseph S. Bresee,
Julia Fitzner
Publication year - 2020
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwaa196
Subject(s) - medicine , demography , mortality rate , pandemic , disease control , epidemiology , influenza pandemic , estimation , environmental health , disease , covid-19 , infectious disease (medical specialty) , management , sociology , economics
Prior to updating global influenza-associated mortality estimates, the World Health Organization convened a consultation in July 2017 to understand differences in methodology and implications for results of 3 influenza mortality projects from the US Centers for Disease Control and Prevention (CDC), the Netherlands Institute for Health Service Research’s Global Pandemic Mortality Project II (GLaMOR), and the Institute for Health Metrics and Evaluation (IHME). The expert panel reviewed estimates and discussed differences in data sources, analysis, and modeling assumptions. We performed a comparison analysis of the estimates. Influenza-associated respiratory death counts were comparable between CDC and GLaMOR; the IHME estimate was considerably lower. The greatest country-specific influenza-associated fold differences in mortality rate between CDC and IHME estimates and between GLaMOR and IHME estimates were among countries in Southeast Asia and the Eastern Mediterranean region. The data envelope used for the calculation was one of the major differences (CDC and GLaMOR: all respiratory deaths; IHME: lower-respiratory infection deaths). With the assumption that there is only one cause of death for each death, IHME estimates a fraction of the full influenza-associated respiratory mortality that is measured by the other 2 groups. Wide variability of parameters was observed. Continued coordination between groups could assist with better understanding of methodological differences and new approaches to estimating influenza deaths globally.
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