Cause-specific mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

Background Because most deaths in Africa and Asia are not well documented, estimates of mortality are often made using scanty data. The INDEPTH Network works to alleviate this problem by collating detailed individual data from defined Health and Demographic Surveillance sites. By registering all deaths over time and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. Objective To build a large standardised mortality database from African and Asian sites, detailing the relevant methods, and use it to describe cause-specific mortality patterns. Design Individual demographic and verbal autopsy (VA) data from 22 INDEPTH sites were collated into a standardised database. The INDEPTH 2013 population was used for standardisation. The WHO 2012 VA standard and the InterVA-4 model were used for assigning cause of death. Results A total of 111,910 deaths occurring over 12,204,043 person-years (accumulated between 1992 and 2012) were registered across the 22 sites, and for 98,429 of these deaths (88.0%) verbal autopsies were successfully completed. There was considerable variation in all-cause mortality between sites, with most of the differences being accounted for by variations in infectious causes as a proportion of all deaths. Conclusions This dataset documents individual deaths across Africa and Asia in a standardised way, and on an unprecedented scale. While INDEPTH sites are not constructed to constitute a representative sample, and VA may not be the ideal method of determining cause of death, nevertheless these findings represent detailed mortality patterns for parts of the world that are severely under-served in terms of measuring mortality. Further papers explore details of mortality patterns among children and specifically for NCDs, external causes, pregnancy-related mortality, malaria, and HIV/AIDS. Comparisons will also be made where possible with other findings on mortality in the same regions. Findings presented here and in accompanying papers support the need for continued work towards much wider implementation of universal civil registration of deaths by cause on a worldwide basis.

[1]  A. Sié,et al.  HIV/AIDS-related mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites , 2014, Global health action.

[2]  P. Streatfield,et al.  Causes of death in two rural demographic surveillance sites in Bangladesh, 2004–2010: automated coding of verbal autopsies using InterVA-4 , 2014, Global health action.

[3]  P. Byass,et al.  Two decades of mortality change in rural northeast South Africa , 2014, Global health action.

[4]  P. Byass,et al.  Cause-specific mortality at INDEPTH Health and Demographic Surveillance System Sites in Africa and Asia: concluding synthesis , 2014, Global health action.

[5]  A. Sié,et al.  Cause-specific childhood mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites , 2014, Global health action.

[6]  A. Sié,et al.  Mortality from external causes in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System Sites , 2014, Global health action.

[7]  U. d’Alessandro,et al.  Disease-specific mortality burdens in a rural Gambian population using verbal autopsy, 1998–2007 , 2014, Global health action.

[8]  A. Soura,et al.  Comparing causes of death between formal and informal neighborhoods in urban Africa: evidence from Ouagadougou Health and Demographic Surveillance System , 2014, Global health action.

[9]  Vysaul B. Nyirongo,et al.  Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model , 2014, Global health action.

[10]  G. Dinant,et al.  Applying the InterVA-4 model to determine causes of death in rural Ethiopia , 2014, Global health action.

[11]  A. Sié,et al.  Adult non-communicable disease mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites , 2014, Global health action.

[12]  J. Vulule,et al.  Childhood cause-specific mortality in rural Western Kenya: application of the InterVA-4 model , 2014, Global health action.

[13]  C. Pandav,et al.  Cause of death during 2009–2012, using a probabilistic model (InterVA-4): an experience from Ballabgarh Health and Demographic Surveillance System in India , 2014, Global health action.

[14]  P. Byass,et al.  Pregnancy-related mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites , 2014, Global health action.

[15]  P. Adongo,et al.  Estimating cause of adult (15+ years) death using InterVA-4 in a rural district of southern Ghana , 2014, Global health action.

[16]  C. Kyobutungi,et al.  Trends in non-communicable disease mortality among adult residents in Nairobi's slums, 2003–2011: applying InterVA-4 to verbal autopsy data , 2014, Global health action.

[17]  P. Byass,et al.  Who died of what in rural KwaZulu-Natal, South Africa: a cause of death analysis using InterVA-4 , 2014, Global health action.

[18]  A. Bhuiya,et al.  Cause-specific mortality and socioeconomic status in Chakaria, Bangladesh , 2014, Global health action.

[19]  Pierre Gomez,et al.  Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites , 2014, Global health action.

[20]  P. Streatfield,et al.  Distribution of cause of death in rural Bangladesh during 2003–2010: evidence from two rural areas within Matlab Health and Demographic Surveillance site , 2014, Global health action.

[21]  Alan D. Lopez,et al.  Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 , 2014, The Lancet.

[22]  Katherine E Henson,et al.  Risk of Suicide After Cancer Diagnosis in England , 2018, JAMA psychiatry.

[23]  Vysaul B. Nyirongo,et al.  Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya , 2014, BMC Medicine.

[24]  Samuel J. Clark,et al.  The INDEPTH standard population for low- and middle-income countries, 2013 , 2014, Global health action.

[25]  P. Byass Usefulness of the Population Health Metrics Research Consortium gold standard verbal autopsy data for general verbal autopsy methods , 2014, BMC Medicine.

[26]  P. Byass,et al.  Comparison of physician-certified verbal autopsy with computer-coded verbal autopsy for cause of death assignment in hospitalized patients in low- and middle-income countries: systematic review , 2014, BMC Medicine.

[27]  Ian Riley,et al.  Using verbal autopsy to measure causes of death: the comparative performance of existing methods , 2014, BMC Medicine.

[28]  Z. Abebe,et al.  Emerging chronic non-communicable diseases in rural communities of Northern Ethiopia: evidence using population-based verbal autopsy method in Kilite Awlaelo surveillance site. , 2013, Health policy and planning.

[29]  Jim Todd,et al.  InterVA-4 as a public health tool for measuring HIV/AIDS mortality: a validation study from five African countries , 2013, Global health action.

[30]  P. Byass,et al.  Revising the WHO verbal autopsy instrument to facilitate routine cause-of-death monitoring , 2013, Global health action.

[31]  D. Raoult,et al.  Profile: the Niakhar Health and Demographic Surveillance System. , 2013, International journal of epidemiology.

[32]  M. Tanner,et al.  INDEPTH launches a data repository and INDEPTHStats. , 2013, The Lancet. Global health.

[33]  P. Byass,et al.  Reflections on the Global Burden of Disease 2010 Estimates , 2013, PLoS medicine.

[34]  C. Kyobutungi,et al.  HIV mortality in urban slums of Nairobi, Kenya 2003–2010: a period effect analysis , 2013, BMC Public Health.

[35]  C. Pandav,et al.  The Ballabgarh Health and Demographic Surveillance System (CRHSP-AIIMS). , 2013, International journal of epidemiology.

[36]  Spiros C. Denaxas,et al.  Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study , 2013, BMJ.

[37]  J. Utzinger,et al.  Local concepts of anemia-related illnesses and public health implications in the Taabo health demographic surveillance system, Côte d’Ivoire , 2013, BMC Blood Disorders.

[38]  R. Kumar,et al.  Accuracy of WHO Verbal Autopsy Tool in Determining Major Causes of Neonatal Deaths in India , 2013, PloS one.

[39]  Bernadette A. Thomas,et al.  Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[40]  Yulia Blomstedt,et al.  Does self-rated health predict death in adults aged 50 years and above in India? Evidence from a rural population under health and demographic surveillance. , 2012, International journal of epidemiology.

[41]  P. Byass The UN needs joined-up thinking on vital registration , 2012, The Lancet.

[42]  Samuel J. Clark,et al.  Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool , 2012, Global health action.

[43]  A. Misganaw,et al.  Validity of verbal autopsy method to determine causes of death among adults in the urban setting of Ethiopia , 2012, BMC Medical Research Methodology.

[44]  K. Lindblade,et al.  Profile: the KEMRI/CDC Health and Demographic Surveillance System--Western Kenya. , 2012, International journal of epidemiology.

[45]  S. Clark,et al.  Profile: Agincourt Health and Socio-demographic Surveillance System , 2012, International journal of epidemiology.

[46]  Jamie Perin,et al.  Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000 , 2012, The Lancet.

[47]  M. Montgomery,et al.  HEALTH AND DEMOGRAPHIC SURVEILLANCE SYSTEM PROFILE Profile: The Ouagadougou Health and Demographic Surveillance System , 2012 .

[48]  Abdullah Al Mamun,et al.  HEALTH AND DEMOGRAPHIC SURVEILLANCE SYSTEM PROFILE Profile: The Chakaria Health and Demographic Surveillance System , 2012 .

[49]  Basia Zaba,et al.  Profile: The Karonga Health and Demographic Surveillance System , 2012, International journal of epidemiology.

[50]  Peter Byass,et al.  The INDEPTH Network: filling vital gaps in global epidemiology , 2012, International journal of epidemiology.

[51]  Kevin Marsh,et al.  HEALTH AND DEMOGRAPHIC SURVEILLANCE SYSTEM PROFILE Profile: The Kilifi Health and Demographic Surveillance System (KHDSS) , 2012 .

[52]  P. Byass,et al.  Is Self-Rated Health an Independent Index for Mortality among Older People in Indonesia? , 2012, PloS one.

[53]  S. Jaffar,et al.  Reaching Millennium Development Goal 4 – The Gambia , 2011, Tropical medicine & international health : TM & IH.

[54]  M. Newell,et al.  Verbal autopsy-based cause-specific mortality trends in rural KwaZulu-Natal, South Africa, 2000-2009 , 2011, Population health metrics.

[55]  P. Byass,et al.  Using verbal autopsy to track epidemic dynamics: the case of HIV-related mortality in South Africa , 2011, Population health metrics.

[56]  P. Byass Whither verbal autopsy? , 2011, Population health metrics.

[57]  Peter Byass,et al.  The democratic fallacy in matters of clinical opinion: implications for analysing cause-of-death data , 2011, Emerging themes in epidemiology.

[58]  A. Gulsvik,et al.  Diagnostic validity of fatal cerebral strokes and coronary deaths in mortality statistics: an autopsy study , 2010, European Journal of Epidemiology.

[59]  L. Nahar,et al.  Socio-demographic differentials of adult health indicators in Matlab, Bangladesh: self-rated health, health state, quality of life and disability level , 2010, Global health action.

[60]  O. Müller,et al.  The Health and Demographic Surveillance System (HDSS) in Nouna, Burkina Faso, 1993–2007 , 2010, Global health action.

[61]  V. Adhiyaman,et al.  Autopsy in older medical patients: concordance in ante- and post-mortem findings and changing trends. , 2010, The journal of the Royal College of Physicians of Edinburgh.

[62]  M. Naghavi,et al.  Algorithms for enhancing public health utility of national causes-of-death data , 2010, Population health metrics.

[63]  C. Menéndez,et al.  Clinico-Pathological Discrepancies in the Diagnosis of Causes of Maternal Death in Sub-Saharan Africa: Retrospective Analysis , 2009, PLoS medicine.

[64]  T. Vos,et al.  Burden of premature mortality in rural Vietnam from 1999 – 2003: analyses from a Demographic Surveillance Site , 2006, Population health metrics.

[65]  K. Shibuya,et al.  No cry at birth: global estimates of intrapartum stillbirths and intrapartum-related neonatal deaths. , 2005, Bulletin of the World Health Organization.

[66]  S. Tollman,et al.  Validation and application of verbal autopsies in a rural area of South Africa , 2000, Tropical medicine & international health : TM & IH.

[67]  A. Sié,et al.  HIV/AIDS-related mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites. , 2014, Global health action.

[68]  C. Pandav,et al.  Cause of death during 2009-2012, using a probabilistic model (InterVA-4): an experience from Ballabgarh Health and Demographic Surveillance System in India. , 2014, Global health action.

[69]  A. Sié,et al.  Cause-specific mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites. , 2014, Global health action.

[70]  M. Maclachlan,et al.  Inclusive Health and Community Based Rhabilitation for Children with Disabilities, Background paper for the State of the World's Children Report 2013 New York. UNICEF , 2013 .

[71]  D. Azongo,et al.  Profile of the Navrongo Health and Demographic Surveillance System. , 2012, International journal of epidemiology.

[72]  Diana Gosálvez Prados Global Burden of Disease Study 2010 , 2012 .