Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Jul 20:10:15.
doi: 10.1186/s13031-016-0082-9. eCollection 2016.

Excess mortality in refugees, internally displaced persons and resident populations in complex humanitarian emergencies (1998-2012) - insights from operational data

Affiliations

Excess mortality in refugees, internally displaced persons and resident populations in complex humanitarian emergencies (1998-2012) - insights from operational data

Peter Heudtlass et al. Confl Health. .

Abstract

Background: Complex humanitarian emergencies are characterised by a break-down of health systems. All-cause mortality increases and non-violent excess deaths (predominantly due to infectious diseases) have been shown to outnumber violent deaths even in exceptionally brutal conflicts. However, affected populations are very heterogeneous and refugees, internally displaced persons (IDPs) and resident (non-displaced) populations differ substantially in their access to health services. We aim to show how this translates into health outcomes by quantifying excess all-cause mortality in emergencies by displacement status.

Methods: As standard data sources on mortality only poorly represent these populations, we use data from CEDAT, a database established by aid agencies to share operational health data collected for planning, monitoring and evaluation of humanitarian aid. We obtained 1759 Crude Death Rate (CDR) estimates from emergency assessments conducted between 1998 and 2012. We define excess mortality as the ratio of CDR in emergency assessments over 'baseline CDR' (as reported in the World Development Indicators). These death rate ratios (DRR) are calculated separately for all emergency assessments and their distribution is analysed by displacement status using non-parametric statistics.

Results: We found significant excess mortality in IDPs (median DRR: 2.5; 95 % CI: [2.2, 2.93]) and residents (median DDR: 1.51; 95 % CI: [1.47, 1.58]). Mortality in refugees however is not significantly different from baseline mortality in the host countries (median DRR: 0.94, 95 % CI: [0.73, 1.1]).

Conclusions: Aid agencies report the highest excess mortality rates among IDPs, followed by resident populations. In absolute terms however, due to their high share in the total number of people at risk, residents are likely to account for most of the excess deaths in today's emergencies. Further research is needed to clarify whether the low estimates of excess mortality in refugees are the result of successful humanitarian interventions or due to limitations of our methods and data.

Keywords: Complex humanitarian emergencies; Displacement; IDPs; Mortality; Refugees.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Flow chart
Fig. 2
Fig. 2
Crude Deaths Rates from emergency mortality assessments compared to baseline death rates, by displacement status
Fig. 3
Fig. 3
Boxplot of death rate ratios (emergency death rates over baseline death rates), by displacement status
Fig. 4
Fig. 4
Sensitivity analysis 1: Chad
Fig. 5
Fig. 5
Sensitivity analysis 2: DR of the Congo
Fig. 6
Fig. 6
Sensitivity analysis 3: Ethiopia
Fig. 7
Fig. 7
Sensitivity analysis 4: Kenya
Fig. 8
Fig. 8
Sensitivity analysis 5: Liberia
Fig. 9
Fig. 9
Sensitivity analysis 6: Uganda

References

    1. OCHA U. Glossary of Humanitarian Terms in Relation to the Protection of Civilians in Armed Conflict. 2003. New York: United Nations. Available: http://toolkit.ineesite.org/resources/ineecms/uploads/1275/OCHA_2003_Glo.... Accessed 11 May 2016.
    1. Toole MJ, Waldman RJ. The public health aspects of complex emergencies and refugee situations. Annu Rev Public Health. 1997;18:283–312. doi: 10.1146/annurev.publhealth.18.1.283. - DOI - PubMed
    1. UNHCR (2014) Global Trends 2013. Available: http://www.unhcr.org/5399a14f9.html. Accessed 23 February 2015
    1. Raleigh C, Linke A, Hegre H, Karlsen J. Introducing ACLED: An Armed Conflict Location and Event Dataset: Special Data Feature. J Peace Res. 2010;47:651–660. doi: 10.1177/0022343310378914. - DOI
    1. Heudtlass P, Hosten E, Kayouli E. People affected by conflict 2013. Humanitarian needs in numbers. 2014. Available: http://www.popline.org/node/578310. Accessed 18 August 2014

LinkOut - more resources