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    South Africa - Africa Health Research Institute INDEPTH Core Dataset 2000-2017 (Residents only) - Release 2019

    AFRICA-2019
    Reference ID INDEPTH.ZA031.CMD2017.v1
    Year 2000 - 2017
    Country South Africa
    Producer(s) Kobus Herbst - Africa Health Research Institute (ZA031)
    Frank Tanser - Africa Health Research Institute (ZA031)
    Deenan Pillay - Africa Health Research Institute (ZA031)
    Sponsor(s) DST-MRC South African Population Infrastructure Network - SAPRIN - Current Funder
    Wellcome Trust - WT - Current Funder
    Wellcome Trust - WT - Prior Funder
    Collection(s)
    Africa Region – Release 2019
    Metadata PDF Documentation in PDF
    Created on
    Jul 01, 2019
    Last modified
    Jul 01, 2019
    Page views
    31260
    • Study Description
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    Overview
    Identification
    Country
    South Africa
    Title
    Africa Health Research Institute INDEPTH Core Dataset 2000-2017 (Residents only) - Release 2019

    Study Type
    Demographic Surveillance
    Series Information
    This dataset contains rounds 1 to 40 of demographic surveillance data covering the period from 1 Jan 2000 to 31 December 2016. Two rounds of data collection took place annually except in 2002 when three surveillance rounds were conducted. In 2012 we reverted to three rounds of data collection again. It is important to note that this does not imply that the dataset contains 40 individual cross sectional components, rather that the information (events) associated with each individual could have been updated at each of these 40 surveillance rounds if the individual was under surveillance during any particular round.

    ID Number
    INDEPTH.ZA031.CMD2017.v1
    Version
    Version Description
    1.0

    Production Date
    2019-06-26
    Notes
    v1 : Version extracted from analytical database ACDIS_A20180404

    Overview
    Abstract
    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 Health Research 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 Health Research Institute 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). 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.

    Kind of Data
    Event history data

    Units of Analysis
    Individual

    Scope
    Notes
    This study represents only a portion of the total data associated with the complete AHRI Population Intervention Platform 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

    Topics
    TopicVocabularyURI
    Demography [N01.224] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Age Distribution [N01.224.033] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Emigration and Immigration [N01.224.625.350] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Residential Mobility [N01.224.791.700] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Sex Distribution [N01.224.803] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Vital Statistics [N01.224.935] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Life Expectancy [N01.224.935.464] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Mortality [N01.224.935.698] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Cause of Death [N01.224.935.698.100] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Birth Rate [N01.224.935.849.500] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Rural Population [N01.600.725] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Maternal Age [N06.850.490.250.550] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Parity [N06.850.490.812.600] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Survival Analysis [N06.850.520.830.998] MeSHhttp://www.ncbi.nlm.nih.gov/mesh
    Coverage
    Geographic 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.

    Universe
    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 2017)

    Producers and Sponsors
    Primary Investigator(s)
    NameAffiliation
    Kobus Herbst Africa Health Research Institute (ZA031)
    Frank Tanser Africa Health Research Institute (ZA031)
    Deenan Pillay Africa Health Research Institute (ZA031)
    Other Producer(s)
    NameAffiliationRole
    Thobeka Mngomezulu Africa Health Research Insittute (ZA031)Data Collection
    Funding
    NameAbbreviationRole
    DST-MRC South African Population Infrastructure Network SAPRINCurrent Funder
    Wellcome Trust WTCurrent Funder
    Wellcome Trust WTPrior Funder
    Other Acknowledgements
    NameAffiliationRole
    Dickman Gareta Africa Health Research Institute (ZA031)Database Scientist
    Sweetness Dube Africa Health Research Institute (ZA031)Data Documentation Archivist
    Metadata Production
    Metadata Produced By
    NameAbbreviationAffiliationRole
    iSHARE2 Technical TeamiS2TTINDEPTH NetworkDocumentation of the study
    INDEPTH Networkint.indepthINDEPTH NetworkAgency
    AJ HerbstAJHZA031DDI author
    SH DubeSHDZA031Data Documentation Archivist
    Date of Metadata Production
    2019-06-27
    DDI Document Version
    Version 1 (June 2019)

    DDI Document ID
    DDI.INDEPTH.ZA031.CMD2017.v1

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