South Africa - Africa Centre HDSS INDEPTH Core Dataset 2000-2014 Residents only (Release 2016)
Reference ID | INDEPTH.ZA031.CMD2014.v1 |
Year | 2000 - 2014 |
Country | South Africa |
Producer(s) |
Kobus Herbst - Africa Centre (ZA031) Frank Tanser - Africa Centre (ZA031) Deenan Pillay - Africa Centre (ZA031) |
Sponsor(s) | Wellcome Trust - WT - current funder Wellcome Trust - WT - prior funder |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Jul 01, 2016
Last modified
Jul 01, 2016
Page views
64132
Overview
Identification
INDEPTH.ZA031.CMD2014.v1 |
Version
v1: Edited dataset for public distribution 2016-06-06
Overview
The health and demography of the South African population has been undergoing substantial changes as a result of the rapidly progressing HIV epidemic. Researchers at the University of KwaZulu-Natal and the South African Medical Research Council established The Africa Centre for Health and Population Studies in 1997 funded by a core grant from The Wellcome Trust, UK. Given the urgent need for high quality longitudinal data with which to monitor these changes, and with which to evaluate interventions to mitigate impact, a demographic surveillance system (DSS) was established in a rural South African population facing a rapid and severe HIV epidemic. The DSS, referred to as the Africa Centre Demographic Information System (ACDIS), started in 2000.ACDIS was established to ‘describe the demographic, social and health impact of the HIV epidemic in a population going through the health transition’ and to monitor the impact of intervention strategies on the epidemic. South Africa’s political and economic history has resulted in highly mobile urban and rural populations, coupled with complex, fluid households. In order to successfully monitor the epidemic, it was necessary to collect longitudinal demographic data (e.g. mortality, fertility, migration) on the population and to mirror this complex social reality within the design of the demographic information system. To this end, three primary subjects are observed longitudinally in ACDIS: physical structures (e.g. homesteads, clinics and schools), households and individuals. The information about these subjects, and all related information, is stored in a single MSSQL Server database, in a truly longitudinal way—i.e. not as a series of cross-sections.
The surveillance area is located near the market town of Mtubatuba in the Umkanyakude district of KwaZulu-Natal. The area is 438 square kilometers in size and includes a population of approximately 85 000 people who are members of approximately 11 000 households. The population is almost exclusively Zulu-speaking. The area is typical of many rural areas of South Africa in that while predominantly rural, it contains an urban township and informal peri-urban settlements. The area is characterized by large variations in population densities (20–3000 people/km2). In the rural areas, homesteads are scattered rather than grouped. Most households are multi-generational and range with an average size of 7.9 (SD:4.7) members. Despite being a predominantly rural area, the principle source of income for most households is waged employment and state pensions rather than agriculture. In 2006, approximately 77% of households in the surveillance area had access to piped water and toilet facilities.
To fulfil the eligibility criteria for the ACDIS cohort, individuals must be a member of a household within the surveillance area but not necessarily resident within it. Crucially, this means that ACDIS collects information on resident and non-resident members of households and makes a distinction between membership (self-defined on the basis of links to other household members) and residency (residing at a physical structure within the surveillance area at a particular point in time). Individuals can be members of more than one household at any point in time (e.g. polygamously married men whose wives maintain separate households). As of June 2006, there were 85 855 people under surveillance of whom 33% were not resident within the surveillance area. Obtaining information on non-resident members is vital for a number of reasons. Most importantly, understanding patterns of HIV transmission within rural areas requires knowledge about patterns of circulation and about sexual contacts between residents and their non-resident partners. To be consistent with similar datasets from other INDEPTH Member centres, this data set contains data from resident members only.
During data collection, households are visited by fieldworkers and information supplied by a single key informant. All births, deaths and migrations of household members are recorded. If household members have moved internally within the surveillance area, such moves are reconciled and the internal migrant retains the original identfier associated with him/her.
Event history data
Individual
Scope
This study represents only a portion of the total data associated with the complete Africa Centre demographic surveilance as described in the study abstract.It specifically only includes the events defining the resident exposure of individuals under surveillance as well as the delivery events of resident women. Each type of event contains minimal attributes describing the event:
Attributes common to each event:
- Event Type
- Event Date
- Observation date
Migration:
- Origin & Destination
Death:
- Cause
Delivery:
- Live born and Still born counts
- Parity
Topic | Vocabulary | URI |
---|---|---|
Demography [N01.224] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Age Distribution [N01.224.033] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Emigration and Immigration [N01.224.625.350] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Residential Mobility [N01.224.791.700] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Sex Distribution [N01.224.803] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Vital Statistics [N01.224.935] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Life Expectancy [N01.224.935.464] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Mortality [N01.224.935.698] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Cause of Death [N01.224.935.698.100] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Birth Rate [N01.224.935.849.500] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Rural Population [N01.600.725] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Maternal Age [N06.850.490.250.550] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Parity [N06.850.490.812.600] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Survival Analysis [N06.850.520.830.998] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Coverage
Demographic surveillance area situated in the south-east portion of the uMkhanyakude district of KwaZulu-Natal province near the town of Mtubatuba. It is bounded on the west by the Umfolozi-Hluhluwe nature reserve, on the South by the Umfolozi river, on the East by the N2 highway (except form portions where the Kwamsane township strandles the highway) and in the North by the Inyalazi river for portions of the boundary.The area is 438 square kilometers.
Resident household members of households resident within the demographic surveillance area. Inmigrants are defined by intention to become resident, but actual residence episodes of less than 180 days are censored. Outmigrants are defined by intention to become resident elsewhere, but actual periods of non-residence less than 180 days are censored. Children born to resident women are considered resident by default, irrespective of actual place of birth. The dataset contains the events of all individuals ever resident during the study period (1 Jan 2000 to 31 Dec 2014)
Producers and Sponsors
Name | Affiliation |
---|---|
Kobus Herbst | Africa Centre (ZA031) |
Frank Tanser | Africa Centre (ZA031) |
Deenan Pillay | Africa Centre (ZA031) |
Name | Affiliation | Role |
---|---|---|
Tinofa Mutevedzi | Africa Centre (ZA031) | data collection |
Name | Abbreviation | Role |
---|---|---|
Wellcome Trust | WT | current funder |
Wellcome Trust | WT | prior funder |
Name | Affiliation | Role |
---|---|---|
Dickman Gareta | Africa Centre (ZA031) | database scientist |
Metadata Production
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
iSHARE2 Technical Team | iS2TT | INDEPTH Network | Technical Support |
INDEPTH Network | int.indepth | INDEPTH Network | agency |
AJ Herbst | AJH | ZA031 | DDI author |
DDI.INDEPTH.ZA031.CMD2014.v1