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Estimating global mortality due to interpersonal and collective violence. Alexander Butchart Coordinator, Prevention of Violence and Colin Mathers Coordinator, Mortality and Burden of Disease. Global Response 2010, Copenhagen 22-25 January 2010. Overview.
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Estimating global mortality due to interpersonal and collective violence Alexander Butchart Coordinator, Prevention of Violence and Colin MathersCoordinator, Mortality and Burden of Disease Global Response 2010, Copenhagen 22-25 January 2010
Overview • Typology of violence and global estimates of deaths due to violence • Sources of information • Measures of violence using vital registration • Interpersonal violence • Collective violence • Global Burden of Disease estimates of violence • Conclusions
Violence Self-directed Interpersonal Collective Typology of violence
Injury Unintentional Intentional Self-harm(suicide) Interpersonal(homicide) Collective(war) Firearm/Cut/Drown/Fall/Fire/Poison/Suffocation/Struck International Classification of Disease categorisation of injury deaths
Violent deaths by type of violence, year 2004 Collective 184,000 (13%) Self-directed 844,000 (51%) Interpersonal 600,000 (36%) N = 1.6 million
High income 9% Low & middle income 91% Violent deaths by country income, year 2004 N = 1.6 million
Sources of information on violence mortality and morbidity • Vital registration systems (medically certified or verbal autopsy) • Sample registration systems • Demographic surveillance systems • Population surveys and censuses with verbal autopsy • Deaths in household in last 12/24 months • Deaths of children • Deaths of siblings/parents • Self-reported injury incidence/hospitalization • Police and judicial system statistics • Media reports (conflict and natural disasters) • Hospital databases (coverage, population)
WHO Mortality Database • WHO Member States with vital registration systems regularly provide data on registered deaths by cause, age and sex to WHO • Most countries use the International Classification of Diseases (ICD) Revision 9 or Revision 10 (the latest version) • Some countries use earlier versions, or non-standard coding systems (short lists) • Death registration data for some countries is not complete • Available online at www.who.int/research/en • Country-years can be selected and viewed online • Full database can be downloaded in compressed form
Data reporting frequency varies Of the reporting countries, half of them are developed providing 75% of the number of deaths
Measures of violence using vital registration systems:Interpersonal violence
Estimating homicide rates from death registration data • Coverage less than 90% complete for around 40 countries(eg. Egypt 80%, Kyrgyzstan 75%, Peru 50%, Turkey < 50%) • Cause distribution may be biased in countries with incomplete coverage (poorer, rural areas usually have less coverage) • Injury causes may be under-reported relative to other causesto avoid legal and other problems • Some countries classify higher proportions of injury deaths to a category ‘undetermined intent’
Estonia Latvia 3000 5 2500 4 2000 3 Male Male Eastern Europe – All injury deaths Thousands 1500 Female Female 2 1000 1 500 0 0 1970 1975 1980 1985 1990 1950 1990 1995 2000 1995 2000 1975 1980 1985 1950 1955 1960 1965 1955 1960 1965 1970 Lithuania Russian Federation 6 350 300 5 250 4 Male Male 200 Thousands Thousands 3 Female Female 150 2 100 1 50 0 0 1955 1960 1965 1970 1950 1960 1975 1985 2000 1950 1990 1995 2000 1970 1995 1975 1980 1985 1955 1965 1980 1990
Measures of violence using vital registration systems:Collective violence
Revolution, 1973 Chile Chile: All Injury Deaths COW: 8,000 Deaths VR Excess Injury Deaths: ~2,000 Deaths 9 8 7 6 Male 5 Thousands Female 4 3 2 1 0 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000
Earthquake, Feb. 4, 1976 7.5 Richter Scale Peak of state violence, 1980- Guatemala Guatemala: All Injury Deaths CRED EM-DAT: 23,000 Deaths VR Excess Injury Deaths: ~12,000 Deaths AAAS: 6,000 Deaths (1980-81) VR Excess Injury Deaths: ~12,000 14 12 10 8 Thousands 6 4 Male 2 Female 0 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000
Colombia Bosnia and Herzegovina 50 2000 40 1500 30 Male Male Thousands 1000 Female Female Missing Data - All Injury Deaths 20 500 10 0 0 1955 1975 1980 1995 2000 1950 1970 1990 1960 1965 1985 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 El Salvador • Vital registration systems usually don't function during war • Missing data and incomplete vital registration are common 12 10 8 Male Thousands 6 Female 4 2 0 1950 1970 1990 1960 1965 1985 1955 1975 1980 1995 2000
Estimated all injury and violence deaths (000s), by region, 2004
Global burden of disease 2005 A complete new assessment • $11m grant from Bill and Melinda Gates Foundation • Led by Institute for Health Metrics and Evaluation (Seattle) • + WHO, Harvard University, Univ. of Queensland, Johns Hopkins • Expanded cause lists – tackling firearms injuries, intimate partner violence among many other causes and risks • Started in 2007, aim to complete by end 2010 Objectives • New disease, injury, risk factor estimates for 1990 and 2005 • For 21 regions spanning the global population • Create simplified analytical tools and training for BOD studies
GBD estimates of global conflict deaths Definitional issues • Include deaths due to injuries incurred years earlier and recent deaths due to explosive devices that may have been laid years earlier • Include deaths in military personnel and civilians, both on and off the battlefield • Include all organized conflicts, including cross-national, intra-national and as a result of terrorism • Exclude deaths from other causes (e.g. starvation, infectious disease) indirectly due to collective violence
GBD estimates of global conflict deaths Input data • Project Ploughshares • Uppsala Conflict Data Project • Centre for International Development and Conflict Management • Conflict-specific surveys and databases (e.g. Iraq, DR Congo) • Landmine Monitor • Handicap International annual reports on landmine victims • Vital registration data
Population surveys to measure conflict deaths • Iraq Family Health Survey, 2006-7 • Sibling survival • Afghanistan Mortality Survey, 2010 • Sibling history and parental survival • World Health Survey, 2002-3 • Sibling history
Conclusions • Primary approach should be to through country information systems (death registration, hospital inpatient and outpatient data systems etc) • Good coverage in Europe and Latin America, very poor coverage in Asia and Africa • Improving the coverage and quality of death registration systems (certification and coding, verbal autopsy, completeness of coverage) • Sample registration, demographic surveillance • Population surveys and censuses (deaths in household, sibling survival, verbal autopsy, issues of under-reporting and recall bias) • Cluster sample surveys of populations in crisis • Other innovative census and demographic-based methods, eg. capture-recapture studies
For more information http://www.who.int/healthinfo/morttables/en/index.html http://www.who.int/evidence/bod http://www.globalburden.org mathersc@who.int