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The Democratic Republic of Congo conflict (1998-2004): assessing excess deaths based on war and non-war scenarios

The Democratic Republic of Congo conflict (1998-2004): assessing excess deaths based on war and non-war scenarios
The Democratic Republic of Congo conflict (1998-2004): assessing excess deaths based on war and non-war scenarios
To assess excess deaths linked to the 1998-2004 armed conflicts in the Democratic Republic of Congo, the International Rescue Committee conducted a series of five surveys over a seven years period (2000–2007). The IRC estimated excess deaths of 5.4 million for the period 1998-2007. Using an alternative method this study combines four different data sources – 1984 DRC Population Census; 1995 and 2001 Multiple Indicator Cluster Surveys and the 2007 Demographic and Health Survey – to assess excess population loss. Indirect techniques are used to derive estimates and cohort component projections conducted for factual and counter-factual scenarios using varying assumptions to derive mortality estimates. This study’s excess population loss is estimated at: 2.4 million for a closed population; 1.7 million when migration data are incorporated. The study finds that the choice of mortality baseline determines the level of excess population loss. Mortality is exceptionally high in the Congo regardless of the method or assumptions used. Ongoing work focusses on refining assumptions and assessing the extent of competing causes of mortality. In the same way, the extent of uncertainty associated with both this study’s methods and components of population change are the object of further analyses.
Kapend, Richard
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Hinde, Andrew
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Bijak, Jakub
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Kapend, Richard
ac790e1f-8931-4259-8341-ec7a1d544c33
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66

Kapend, Richard, Hinde, Andrew and Bijak, Jakub (2013) The Democratic Republic of Congo conflict (1998-2004): assessing excess deaths based on war and non-war scenarios. XXVII International Population Conference (IUSSP), Busan, Korea, Republic of. 26 - 31 Aug 2013.

Record type: Conference or Workshop Item (Paper)

Abstract

To assess excess deaths linked to the 1998-2004 armed conflicts in the Democratic Republic of Congo, the International Rescue Committee conducted a series of five surveys over a seven years period (2000–2007). The IRC estimated excess deaths of 5.4 million for the period 1998-2007. Using an alternative method this study combines four different data sources – 1984 DRC Population Census; 1995 and 2001 Multiple Indicator Cluster Surveys and the 2007 Demographic and Health Survey – to assess excess population loss. Indirect techniques are used to derive estimates and cohort component projections conducted for factual and counter-factual scenarios using varying assumptions to derive mortality estimates. This study’s excess population loss is estimated at: 2.4 million for a closed population; 1.7 million when migration data are incorporated. The study finds that the choice of mortality baseline determines the level of excess population loss. Mortality is exceptionally high in the Congo regardless of the method or assumptions used. Ongoing work focusses on refining assumptions and assessing the extent of competing causes of mortality. In the same way, the extent of uncertainty associated with both this study’s methods and components of population change are the object of further analyses.

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Published date: 26 August 2013
Venue - Dates: XXVII International Population Conference (IUSSP), Busan, Korea, Republic of, 2013-08-26 - 2013-08-31
Organisations: Social Statistics & Demography

Identifiers

Local EPrints ID: 363157
URI: http://eprints.soton.ac.uk/id/eprint/363157
PURE UUID: 508db5bd-6a47-4225-a9a9-37f8197bde19
ORCID for Andrew Hinde: ORCID iD orcid.org/0000-0002-8909-9152
ORCID for Jakub Bijak: ORCID iD orcid.org/0000-0002-2563-5040

Catalogue record

Date deposited: 21 Mar 2014 09:21
Last modified: 15 Mar 2024 03:34

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Contributors

Author: Richard Kapend
Author: Andrew Hinde ORCID iD
Author: Jakub Bijak ORCID iD

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