Methodological issues of retrospective surveys for measuring mortality of highly clustered diseases: case study of the 2014–16 Ebola outbreak in Bo District, Sierra Leone

Methodological issues of retrospective surveys for measuring mortality of highly clustered diseases: case study of the 2014–16 Ebola outbreak in Bo District, Sierra Leone

Background There is a lack of empirical data on design effects (DEFF) for mortality rate for highly clustered data such as with Ebola virus disease (EVD), along with a lack of documentation of methodological limitations and operational utility of mortality estimated from cluster-sampled studies when...

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Bibliographic Details
Main Authors: Grazia Caleo, Kamalini Lokuge, Katina Kardamanidis, Jane Greig, Jaroslava Belava, Emer Kilbride, Alhaji Sayui Turay, Gbessay Saffa, Ronald Kremer, Francesco Grandesso, Kostas Danis, Armand Sprecher, Gian Luca Di Tanna, Holly Baker, Helen A. Weiss
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Global Health Action
Subjects:
ebola virus disease
design effects
cluster surveys
mortality
highly-clustered data
Online Access:http://dx.doi.org/10.1080/16549716.2024.2331291
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