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 the DEFF is high.
Objectives: The objectives of this paper are to report EVD mortality rate and DEFF estimates, and discuss the methodological limitations of cluster surveys when data are highly clustered such as during an EVD outbreak.
Methods: We analysed the outputs of two independent population-based surveys conducted at the end of the 2014-2016 EVD outbreak in Bo District, Sierra Leone, in urban and rural areas.
Sierra Leone was heavily affected by the Ebola epidemic, with over 14,000 total cases. Given that corpses of people who have died from Ebola are highly infectious and given the extremely high risk of Ebola transmission associated with direct contact with bodies of people who have died of Ebola, community acceptance of safe, dignified medical burials was one of the important components of efforts to stop the Ebola epidemic in Sierra Leone. Information on barriers and facilitators for community acceptance of safe, dignified medical burials is limited.
View Article and Find Full Text PDFBackground: Médecins Sans Frontières (MSF) opened Ebola management centres (EMCs) in Sierra Leone in Kailahun in June, 2014, and Bo in September, 2014. Case fatality in the west African Ebola virus disease epidemic has been highest in children younger than 5 years. Clinical data on outcomes can provide important evidence to guide future management.
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