Background: Understanding socioeconomic disparities in all-cause and cause-specific mortality can help inform prevention and treatment strategies.
Objectives: To quantify cause-specific mortality rates by socioeconomic status across seven health and demographic surveillance systems (HDSS) in five countries (Ethiopia, Kenya, Malawi, Mozambique, and Nigeria) in the INDEPTH Network in sub-Saharan Africa.
Methods: We linked demographic residence data with household survey data containing living standards and education information we used to create a poverty index.
J Acquir Immune Defic Syndr
August 2018
Background: Reliable data on the HIV epidemic is critical for the measurement of the impact of HIV response and for the implementation of further interventions.
Methods: We used mortality data from the Kombewa health and demographic surveillance systems (HDSS) from January 1, 2011 to December 31, 2015 to examine the space-time pattern of HIV-associated mortality. HIV mortality rate was calculated per 1000 persons living with HIV (for comparison with regional and national averages) and per 1000 person-years (p-y) for comparison with data from other HDSS sites.
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.
Background: This study explores the consequences of a maternal death to households in rural Western Kenya focusing particularly on the immediate financial and economic impacts.
Methods: Between September 2011 and March 2013 all households in the study area with a maternal death were surveyed. Data were collected on the demographic characteristics of the deceased woman; household socio-economic status; a history of the pregnancy and health care access and utilization; and disruption to household functioning due to the maternal death.
Background: This study analyzes the consequences of maternal death to households in Western Kenya, specifically, neonatal and infant survival, childcare and schooling, disruption of daily household activities, the emotional burden on household members, and coping mechanisms.
Methods: The study is a combination of qualitative analysis with matched and unmatched quantitative analysis using surveillance and survey data. Between September 2011 and March 2013 all households in the study area with a maternal death were surveyed.
Background: Women continue to die in unacceptably large numbers around the world as a result of pregnancy, particularly in sub-Saharan Africa and Asia. Part of the problem is a lack of accurate, population-based information characterising the issues and informing solutions. Population surveillance sites, such as those operated within the INDEPTH Network, have the potential to contribute to bridging the information gaps.
View Article and Find Full Text PDFBackground: Information on trauma-related deaths in low and middle income countries is limited but needed to target public health interventions. Data from a health and demographic surveillance system (HDSS) were examined to characterise such deaths in rural western Kenya.
Methods And Findings: Verbal autopsy data were analysed.
Background: Pregnancy-related (PR) deaths are often a result of direct obstetric complications occurring at childbirth.
Methods And Findings: To estimate the burden of and characterize risk factors for PR mortality, we evaluated deaths that occurred between 2003 and 2008 among women of childbearing age (15 to 49 years) using Health and Demographic Surveillance System data in rural western Kenya. WHO ICD definition of PR mortality was used: "the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the cause of death".
The KEMRI/Centers for Disease Control and Prevention (CDC) Health and Demographic Surveillance System (HDSS) is located in Rarieda, Siaya and Gem Districts (Siaya County), lying northeast of Lake Victoria in Nyanza Province, western Kenya. The KEMRI/CDC HDSS, with approximately 220 000 inhabitants, has been the foundation for a variety of studies, including evaluations of insecticide-treated bed nets, burden of diarrhoeal disease and tuberculosis, malaria parasitaemia and anaemia, treatment strategies and immunological correlates of malaria infection, and numerous HIV, tuberculosis, malaria and diarrhoeal disease treatment and vaccine efficacy and effectiveness trials for more than a decade. Current studies include operations research to measure the uptake and effectiveness of the programmatic implementation of integrated malaria control strategies, HIV services, newly introduced vaccines and clinical trials.
View Article and Find Full Text PDFObjective: To evaluate mortality and morbidity among internally displaced persons (IDPs) who relocated in a demographic surveillance system (DSS) area in western Kenya following post-election violence.
Methods: In 2007, 204 000 individuals lived in the DSS area, where field workers visit households every 4 months to record migrations, births and deaths. We collected data on admissions among children < 5 years of age in the district hospital and developed special questionnaires to record information on IDPs.