kenya - KE081 Excess Mortality: Surveillance Episodes Datasets
Reference ID | KE081-EXMORTALITY-02 |
Year | 2018 - 2021 |
Country | kenya |
Producer(s) |
Dr Rosebella. Iseme-Ondiek - Aga Khan University (Department of Population Health) Dr Morris Ogero - Aga Khan University; London School of Hygiene and Tropical Medicine Dr Chodziwadziwa Kabudu |
Sponsor(s) | Government of Canada through Global Affairs Canada. - GAC - Previous Funder Bill & Melinda Gates Foundation, Seattle, WA - BMGF - Current Funder Internal Funding from AKU Administration and Department of Population Health. - AKU Administration |
Metadata | Documentation in PDF |
Created on
Dec 22, 2023
Last modified
Mar 22, 2024
Page views
2116
Overview
Identification
KE081-EXMORTALITY-02 |
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
The data are collected from the Kaloleni and Rabai health and socio-demographic surveillance (KRHDSS) area in rural, Kenya. The KRHDSS site is located on the coast of Kenya in Kilifi County (one of five counties on the coast of Kenya).
It specifically covers two sub-counties in Kilifi County, namely Kaloleni and Rabai sub-counties which cover
an area of approximately 909 km2.
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 |
---|---|
Dr Rosebella. Iseme-Ondiek | Aga Khan University (Department of Population Health) |
Dr Morris Ogero | Aga Khan University; London School of Hygiene and Tropical Medicine |
Dr Chodziwadziwa Kabudula | Agincourt |
Dr Jean Bashingwa | Agincourt |
Ms. Rachael Odhiambo | Aga Khan University (Department of Population Health and Institute of Human Development) |
Dr Beth Tippett-Barr | Nyanja Health Research Institute |
Prof. Anthony. K. Ngugi | Aga Khan University (Department of Population Health) |
Name | Affiliation | Role |
---|---|---|
Ms. Rachael Odhiambo | Aga Khan University (Department of Population Health and Institute of Human Development) | Technical Assistance |
Dr Jean Bashingwa | Agincourt | Technical Assistance |
Name | Abbreviation | Role |
---|---|---|
Government of Canada through Global Affairs Canada. | GAC | Previous Funder |
Bill & Melinda Gates Foundation, Seattle, WA | BMGF | Current Funder |
Internal Funding from AKU Administration and Department of Population Health. | AKU Administration and DPH | Current Funder |
External sources (income generation through overhead charges from nested studies in 2021). | N\A | Current Funder |
Joint Global Health Trials Scheme (Department for International Development, the MRC, the National Institute for Health Research and Wellcome Trust). | JGHT | Previous Funder |
Name | Affiliation | Role |
---|---|---|
Kaloleni Rabai Health and Demographic Surveillance System Team | KRHDSS | Providing Data |
Dr Kobus Herbst | SAPRIN | Data Review And QA |
SAMRC/Wits Agincourt Team | Agincourt | Data Review |