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

Streatfield, Peter Kim; Khan, Wasif Ali; Bhuiya, Abbas; Alam, Nurul; Sié, Ali; Soura, Abdramane; Bonfoh, Bassirou; N’Goran, Eliézer K.; Weldearegawi, Berhe; Jasseh, Momodou; Oduro, Abraham; Gyapong, Margaret; Kant, Shashi; Juvekar, Sanjay; Wilopo, Siswanto Agus; Williams, Thomas N.; Odhiambo, Frank; Béguy, Donatien; Ezeh, Alex; Kyobutungi, Catherine; Crampin, Amelia C.; Delaunay, Valérie; Tollman, Stephen; Herbst, Kobus; Chúc, Nguyễn Thị Kim; Sankoh, Osman; Tanner, Marcel; Byass, Peter

doi:10.3402/gha.v7.25362

Cited by 90 publications

(64 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The overall public-domain INDEPTH dataset (10) from which these malaria-specific analyses are drawn is described in detail elsewhere (11), with full details of methods used, which are also summarised here in Box 1. Briefly, the dataset documents 111,910 deaths in 12,204,043 person-years of observation across 22 sites, all processed in a standardised manner.…”

Section: Methodsmentioning

confidence: 99%

Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

Streatfield

Khan

Bhuiya

et al. 2014

Global Health Action

Self Cite

View full text Add to dashboard Cite

BackgroundMalaria continues to be a major cause of infectious disease mortality in tropical regions. However, deaths from malaria are most often not individually documented, and as a result overall understanding of malaria epidemiology is inadequate. INDEPTH Network members maintain population surveillance in Health and Demographic Surveillance System sites across Africa and Asia, in which individual deaths are followed up with verbal autopsies.ObjectiveTo present patterns of malaria mortality determined by verbal autopsy from INDEPTH sites across Africa and Asia, comparing these findings with other relevant information on malaria in the same regions.DesignFrom a database covering 111,910 deaths over 12,204,043 person-years in 22 sites, in which verbal autopsy data were handled according to the WHO 2012 standard and processed using the InterVA-4 model, over 6,000 deaths were attributed to malaria. The overall period covered was 1992–2012, but two-thirds of the observations related to 2006–2012. These deaths were analysed by site, time period, age group and sex to investigate epidemiological differences in malaria mortality.ResultsRates of malaria mortality varied by 1:10,000 across the sites, with generally low rates in Asia (one site recording no malaria deaths over 0.5 million person-years) and some of the highest rates in West Africa (Nouna, Burkina Faso: 2.47 per 1,000 person-years). Childhood malaria mortality rates were strongly correlated with Malaria Atlas Project estimates of Plasmodium falciparum parasite rates for the same locations. Adult malaria mortality rates, while lower than corresponding childhood rates, were strongly correlated with childhood rates at the site level.ConclusionsThe wide variations observed in malaria mortality, which were nevertheless consistent with various other estimates, suggest that population-based registration of deaths using verbal autopsy is a useful approach to understanding the details of malaria epidemiology.

show abstract

Section: Methodsmentioning

confidence: 99%

Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

Streatfield

Khan

Bhuiya

et al. 2014

Global Health Action

Self Cite

View full text Add to dashboard Cite

show abstract

“…Members of the INDEPTH network of demographic surveillance systems have been collecting verbal autopsy data in some sites for many years 153 . In the development of the GBD cause of death database, we have been able to make only limited use of INDEPTH verbal autopsy data collected in multiple sites.…”

Section: Discussionmentioning

confidence: 99%

Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

Wang¹,

Naghavi²,

Allen³

et al. 2016

The Lancet

5,327

3,004

View full text Add to dashboard Cite

SummaryBackgroundImproving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures.MethodsWe estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER).FindingsGlobally, life expectancy from birth increased from 61·7 years (95% uncertainty interval 61·4–61·9) in 1980 to 71·8 years (71·5–72·2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11·3 years (3·7–17·4), to 62·6 years (56·5–70·2). Total deaths increased by 4·1% (2·6–5·6) from 2005 to 2015, rising to 55·8 million (54·9 million to 56·6 million) in 2015, but age-standardised death rates fell by 17·0% (15·8–18·1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-com...

show abstract

“…In brief, the InterVA-4 model is a computer based logarithm which uses Bayes’ theorem in an attempt to overcome limitations of alternative methods [17–20], such as physician coding. InterVA-4 ascertains probable cause(s) of death for each VA case based on expert algorithms and relevant available medical data [21]. The causes of death generated by the InterVA-4 are compatible with the International Classification of Diseases version 10 (ICD-10) and are categorized into 62 groups, as defined in the 2012 WHO VA instrument [16].…”

Section: Methodsmentioning

confidence: 99%

Cause-specific mortality in the Kombewa health and demographic surveillance systems site, rural Western Kenya from 2011–2015

Sifuna

Otieno

Ogwang

et al. 2018

Global Health Action

View full text Add to dashboard Cite

Background: The vast majority of deaths in the health and Kombewa demographic surveillance system (HDSS) study area are not registered and reported through official systems of vital registration. As a result, few data are available regarding causes of death in this population. Objectives: To describe causes of death among residents of all ages in the Kombewa HDSS, located in rural Western Kenya. Methods: Verbal autopsy (VA) interviews at the site were conducted using the modified 2007 and later 2012 standardized WHO questionnaires. Assignment of causes of death was made using the InterVA-4 model version 4.02. Cox regression model, adjusted for sex, was built to evaluate the influence of age on mortality. Results: There were a total of 5196 deaths recorded between 2011 and 2015 at the site. VA interviews were successfully completed for 3903 of these deaths (75.1%). Mortality rates were highest among neonates HR = 38.54 (<0.001) and among Infants HR = 2.07 (<0.006) in the Kombewa HDSS. Among those deaths in which VA was performed, the top causes of death were HIV/AIDS (12.6%), Malaria (10.3%), Pneumonia (10.1%), Acute abdomen (7.0%), Stroke (5.2%) and TB (4.9%) for the whole population in general. Stroke, acute abdomen heart diseases and Pneumonia were common causes of death (CODs) among the elderly over the age of 65. Conclusions: The analysis established the main CODs among people of all ages within the area served by the Kombewa HDSS. We hope that information generated from this study will help better address preventable deaths in the surveyed community as well as help mitigate negative health impacts in other rural communities throughout the Western Kenya region.

show abstract

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

Cited by 90 publications

References 61 publications

Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

Cause-specific mortality in the Kombewa health and demographic surveillance systems site, rural Western Kenya from 2011–2015

Contact Info

Product

Resources

About