Ethiopia - ET041 Excess Mortality: Surveillance Episodes Datasets
Reference ID | ET041-EXMORTALITY-01 |
Year | 2015 - 2021 |
Country | Ethiopia |
Producer(s) |
Prof Steve Tollman - Agincourt Prof Kathleen Khan - Agincourt Dr Kobus Herbst - SAPRIN Dr Chodziwadziwa Kabudula - Agincourt Dr Beth Tippett-Barr - Nyanja Health Research Institute |
Sponsor(s) | Bill & Melinda Gates Foundation, Seattle, WA - BMGF - Current Funder South African Population Research Infrastructure Network, South Africa - SAPRIN - Current Funder Wellcome Trust, UK - Wellcome - Previous Funder |
Metadata | Documentation in PDF |
Created on
Dec 22, 2023
Last modified
Dec 22, 2023
Page views
1866
Overview
Identification
ET041-EXMORTALITY-01 |
Version
v1: Dataset for public distribution. 2023-06-01
Overview
Following the declaration of COVID-19 as a pandemic by the World Health Organization, there have been high levels of reported deaths, at least in countries with functioning civil registration and vital statistics (CRVS). These largely under-represent the true mortality due to COVID-19. A fundamental question, then, is what is the impact of COVID-19 on mortality and the scale of excess deaths, and the population sub-groups most affected, particularly in low- and middle-income settings? Constructing a true representation of COVID-19 deaths can be useful for social policies and future pandemic preparedness planning. The goal of this initiative is to characterise all-cause mortality rates and trends, by age and sex, across a range of rural and urban sub-Saharan African and South Asian settings under continuous health and demographic surveillance. This a multinational initiative bringing together 17 sites/centres from Africa and South Asia. This dataset represents a snapshot of the continually evolving data in the underlying longitudinal databases maintained by the nodes.
Event history data
Exposure Episodes
Scope
Each record in the dataset represents a period of observation for an individual during which all the recorded characteristics of the individual stay constant. For example, on the birthday of the individual a new episode will start, because the age of the individual has changed. An out-migration will result in a new episode, because the location or residential status has changed. Any change in one of the status values, such as education or marital status, will likewise result in a new episode on the date of the change.Topic | Vocabulary | URI |
---|---|---|
Episodes, Mortality, Migration |
Coverage
Kersa Health and Demographic Surveillance System (Kersa HDSS) is located in Kersa district of eastern Hararege zone of Oromia region, Eastern Ethiopia. It was established in 2007 to track demographic and health changes in the community and to be aplat forma for various health related research by the college of Health and Medical Sciences in Haramaya University. It has a vision to become a center of excellence in health science research in Ethiopia.The HDSS does monitoring demographic events such as birth, death, marital status change and migration; and health related conditions such as pregnancy, immunization, and morbidity among children and adults. It also conducts verbal autopsy for the deceased to identify the causes of death in the population. Other areas of interest of the HDSS are environmental health, reproductive health, nutrition, HIV/AIDS and health-care seeking and use.
The sex ratio and number of persons per household were 1.0 and 5.1, respectively. The annual net population growth is 1.6. The majority of the populations in Kersa are not within the working age group; hence the dependency ratio below 1. In different years, the total fertility rate ranges from 4.0 to 5.3. The neonatal and under five mortality are 27 and 77 per 1000 live births respectively. Tuberculosis is the leading cause of death among adults and malnutrition is the leading cause of death among children aged under 5 years
Households resident in dwellings within the study area will be eligible for inclusion in the surveillance. All individuals identified by the household proxy informant as a member of the household will be enumerated. A resident household member is an individual that intends to sleep the majority of time at the dwelling occupied by the household over a four-month period. Households will include resident and non-resident members. An individual is a non-resident member if they have close ties to the household, but do not physically reside with the household most of the time. They can also be called temporary migrants and they are enumerated within the household list. Because household membership is not tied to physical residency, an individual may be a member of more than one household.
Producers and Sponsors
Name | Affiliation |
---|---|
Prof Steve Tollman | Agincourt |
Prof Kathleen Khan | Agincourt |
Dr Kobus Herbst | SAPRIN |
Dr Chodziwadziwa Kabudula | Agincourt |
Dr Beth Tippett-Barr | Nyanja Health Research Institute |
Name | Affiliation | Role |
---|---|---|
Chodziwadziwa Kabudula | Agincourt | Technical Assistance |
Kobus Herbst | SAPRIN | Technical Assistance |
Daniel Ohene-Kwofie | Agincourt | Technical Assistance |
Jean Bashingwa | Agincourt | Technical Assistance |
Nkosinathi Masilela | Agincourt | Technical Assistance |
Rhulani Silaule | Agincourt | Technical Assistance |
Name | Abbreviation | Role |
---|---|---|
Bill & Melinda Gates Foundation, Seattle, WA | BMGF | Current Funder |
South African Population Research Infrastructure Network, South Africa | SAPRIN | Current Funder |
Wellcome Trust, UK | Wellcome | Previous Funder |
Name | Affiliation | Role |
---|---|---|
SAMRC/Wits Agincourt Team | Agincourt | Data Review |
Kobus Herbst | SAPRIN | Data Review And QA |
CHAMPS Team | CHAMPS | Reviews |