The Democratic Republic of the Congo armed conflict 1998–2004: assessing excess mortality based on factual and counter-factual projection scenarios
The Democratic Republic of the Congo armed conflict 1998–2004: assessing excess mortality based on factual and counter-factual projection scenarios
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 Lohlé-Tart (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.
7-35
Kapend, Richard
ac790e1f-8931-4259-8341-ec7a1d544c33
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d
28 October 2020
Kapend, Richard
ac790e1f-8931-4259-8341-ec7a1d544c33
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d
Kapend, Richard, Bijak, Jakub and Hinde, Andrew
(2020)
The Democratic Republic of the Congo armed conflict 1998–2004: assessing excess mortality based on factual and counter-factual projection scenarios.
Revue Quetelet/Quetelet Journal, 8 (1), .
(doi:10.14428/rqj2020.08.01.01).
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 Lohlé-Tart (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.
Text
3813-Article Text-97943-1-10-20201028
- Version of Record
More information
Accepted/In Press date: 8 May 2020
Published date: 28 October 2020
Identifiers
Local EPrints ID: 440809
URI: http://eprints.soton.ac.uk/id/eprint/440809
ISSN: 2034-9378
PURE UUID: 6700d33d-e72c-46fd-bdd6-9886cc07c5ff
Catalogue record
Date deposited: 19 May 2020 16:37
Last modified: 17 Mar 2024 03:18
Export record
Altmetrics
Contributors
Author:
Richard Kapend
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics