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. 2018 Mar 14;13(3):e0194276.
doi: 10.1371/journal.pone.0194276. eCollection 2018.

Risk factors for measles mortality and the importance of decentralized case management during an unusually large measles epidemic in eastern Democratic Republic of Congo in 2013

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Risk factors for measles mortality and the importance of decentralized case management during an unusually large measles epidemic in eastern Democratic Republic of Congo in 2013

Etienne Gignoux et al. PLoS One. .

Abstract

In 2013, a large measles epidemic occurred in the Aketi Health Zone of the Democratic Republic of Congo. We conducted a two-stage, retrospective cluster survey to estimate the attack rate, the case fatality rate, and the measles-specific mortality rate during the epidemic. 1424 households containing 7880 individuals were included. The estimated attack rate was 14.0%, (35.0% among children aged <5 years). The estimated case fatality rate was 4.2% (6.1% among children aged <5 years). Spatial analysis and linear regression showed that younger children, those who did not receive care, and those living farther away from Aketi Hospital early in the epidemic had a higher risk of measles related death. Vaccination coverage prior to the outbreak was low (76%), and a delayed reactive vaccination campaign contributed to the high attack rate. We provide evidences suggesting that a comprehensive case management approach reduced measles fatality during this epidemic in rural, inaccessible resource-poor setting.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Suspected measles cases by week, Aketi Health Zone, Province Orientale, DRC, 2013 (source: MSF and MoH).
Fig 2
Fig 2
Geospatial representation of CFR from December 25th, 2012 to February 28th 2013 (A), and from March 1st, 2013 to October 9th, 2013 (B) , Aketi Health Zone, Province Orientale, Democratic Republic of Congo. The white cross is at the location of the central hospital of Aketi. The scale represent the CFR expressed in %. The 40 dots represent the cluster locations.

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