Literature DB >> 24980556

The whole iceberg: estimating the incidence of yellow fever virus infection from the number of severe cases.

Michael A Johansson1, Pedro F C Vasconcelos2, J Erin Staples3.   

Abstract

BACKGROUND: Like many infectious agents, yellow fever (YF) virus only causes disease in a proportion of individuals it infects and severe illness only represents the tip of the iceberg relative to the total number of infections, the more critical factor for virus transmission.
METHODS: We compiled data on asymptomatic infections, mild disease, severe disease (fever with jaundice or hemorrhagic symptoms) and fatalities from 11 studies in Africa and South America between 1969 and 2011. We used a Bayesian model to estimate the probability of each infection outcome.
RESULTS: For YF virus infections, the probability of being asymptomatic was 0.55 (95% credible interval [CI] 0.37-0.74), mild disease 0.33 (95% CI 0.13-0.52) and severe disease 0.12 (95% CI 0.05-0.26). The probability of death for people experiencing severe disease was 0.47 (95% CI 0.31-0.62).
CONCLUSIONS: In outbreak situations where only severe cases may initially be detected, we estimated that there may be between one and seventy infections that are either asymptomatic or cause mild disease for every severe case identified. As it is generally only the most severe cases that are recognized and reported, these estimates will help improve the understanding of the burden of disease and the estimation of the potential risk of spread during YF outbreaks. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene 2014. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  Case fatality rate; Epidemiology; Flavivirus; Yellow fever

Mesh:

Year:  2014        PMID: 24980556      PMCID: PMC4632853          DOI: 10.1093/trstmh/tru092

Source DB:  PubMed          Journal:  Trans R Soc Trop Med Hyg        ISSN: 0035-9203            Impact factor:   2.184


  21 in total

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Authors:  D Nash; F Mostashari; A Fine; J Miller; D O'Leary; K Murray; A Huang; A Rosenberg; A Greenberg; M Sherman; S Wong; M Layton
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3.  The 1970 yellow fever epidemic in Okwoga District, Benue Plateau State, Nigeria. I. Epidemiological observations.

Authors:  T P Monath; D C Wilson; V H Lee; G Stroh; K Kuteyi; E A Smith
Journal:  Bull World Health Organ       Date:  1973       Impact factor: 9.408

4.  Epidemiological aspects of the 1969 yellow fever epidemic in Nigeria.

Authors:  D E Carey; G E Kemp; J M Troup; H A White; E A Smith; R F Addy; A L Fom; J Pifer; E M Jones; P Brès; R E Shope
Journal:  Bull World Health Organ       Date:  1972       Impact factor: 9.408

5.  Epidemic yellow fever in eastern Nigeria, 1986.

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7.  Urban yellow fever epidemic in western Nigeria, 1987.

Authors:  A Nasidi; T P Monath; K DeCock; O Tomori; R Cordellier; O D Olaleye; T O Harry; J A Adeniyi; A O Sorungbe; A O Ajose-Coker
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Authors:  F P Pinheiro; A P Travassos da Rosa; M A Moraes; J C Almeida Neto; S Camargo; J P Filgueiras
Journal:  Am J Trop Med Hyg       Date:  1978-01       Impact factor: 2.345

9.  Yellow fever in the Gambia, 1978--1979: epidemiologic aspects with observations on the occurrence of orungo virus infections.

Authors:  T P Monath; R B Craven; A Adjukiewicz; M Germain; D B Francy; L Ferrara; E M Samba; H N'Jie; K Cham; S A Fitzgerald; P H Crippen; D I Simpson; E T Bowen; A Fabiyi; J J Salaun
Journal:  Am J Trop Med Hyg       Date:  1980-09       Impact factor: 2.345

10.  Should yellow fever vaccine be included in the expanded program of immunization in Africa? A cost-effectiveness analysis for Nigeria.

Authors:  T P Monath; A Nasidi
Journal:  Am J Trop Med Hyg       Date:  1993-02       Impact factor: 2.345

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10.  Impact of COVID-19-related disruptions to measles, meningococcal A, and yellow fever vaccination in 10 countries.

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