Abstract
To document the scale and scope of the 1998–2004 armed conflicts in the Democratic Republic of the Congo (DRC), the current study combined four different data sources: the 1984 DRC Population Census, the 1995 and 2001 DRC Multiple Indicator Cluster Surveys and the 2007 DRC Demographic and Health Survey, to reconstruct missing demographic estimates and assess the level of excess mortality associated with the conflict, going from 1998 to 2007. Findings from this study do not corroborate previous estimates on the same armed conflict and for the same period: these range from excess mortality of 5.4 million population according to Coghlan et al. (2009), to 0.2 million according to Lambert and LohléTart (2008). The cohort component projection method as used in this study is a cost-effective approach as it allows the analysis of a complex issue, that is excess mortality associated with an armed conflict, with relatively modest resources. This study highlights that the choice of baseline rates is a key factor in determining the level of excess mortality when data points are scarce. This study produced a range of plausible estimates of excess mortality between 1 and 1.9 million population rather than a single best estimate. The range of excess mortality produced in this study is narrower and less extreme when compared to previous studies on the same conflict. As a further contribution to the debate in this field, the current study advocates producing a range of plausible estimates rather than a single best estimate of excess mortality. This is justified by the uncertainties associated with the scarcity of the data, the statistical modelling and the overall analysis process.
Original language | English |
---|---|
Pages (from-to) | 7-35 |
Journal | Revue Quetelet |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - 28 Oct 2020 |
Fingerprint
Dive into the research topics of 'The Democratic Republic of Congo armed conflict (1998 – 2004): assessing excess mortality based on factual and counter-factual projection scenarios'. Together they form a unique fingerprint.Datasets
-
Dataset for 'The Democratic Republic of Congo armed conflict (1998 – 2004): assessing excess mortality based on factual and counterfactual scenarios'.
Kapend, R. (Creator), Bijak, J. (Creator) & Hinde, A. (Creator), University of Portsmouth, 21 May 2020
DOI: 10.17029/7e7adb43-ef25-4e99-ab56-77dca1d9107c
Dataset
File