SAPRIN Individual Demographic Dataset 2018
South Africa, 1993 - 2017
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Jun 05, 2019
Last modified
Jul 09, 2020
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Identification
Survey ID Number
zaf-saprin-sidd-2018-v1
Title
SAPRIN Individual Demographic Dataset 2018
Country
| Name | Country code |
|---|---|
| South Africa | RSA |
Study type
Demographic and Health Surveillance Survey
Abstract
The South African Population Research Infrastructure Network (SAPRIN) is a national research infrastructure funded through the Department of Science and Technology and hosted by the South African Medical Research Council. One of SAPRIN’s initial goals has been to harmonise the legacy longitudinal data from the three current Health and Demographic Surveillance System (HDSS) Nodes. These long-standing nodes are the MRC/Wits University Agincourt HDSS in Bushbuckridge District, Mpumalanga, established in 1993, with a population of 116 000 people; the University of Limpopo DIMAMO HDSS in the Capricorn District of Limpopo, established in 1996, with a current population of 100 000; and the Africa Health Research Institute (AHRI) HDSS in uMkhanyakude District, KwaZulu-Natal, established in 2000, with a current population of 125 000.
SAPRIN data are processed for longitudinal analysis by organising the demographic data into residence episodes at a geographical location, and membership episodes within a household. Start events include enumeration, birth, in-migration and relocating into a household from within the study population; exit events include death (by cause), out-migration, and relocating to another location in the study population. Variables routinely updated at individual level include health care utilisation, marital status, labour status, education status, as well as recording household asset status. Anticipated outcomes of SAPRIN include: (i) regular releases of up-to-date, longitudinal data, representative of South Africa’s fast-changing poorer communities for research, interpretation and calibration of national datasets; (ii) national statistics triangulation, whereby longitudinal SAPRIN data are triangulated with National Census data for calibration of national statistics and studying the mechanisms driving the national statistics; (iii) An interdisciplinary research platform for conducting observational and interventional research at population level; (iv) policy engagement to provide evidence to underpin policy-making for cost evaluation and targeting intervention programmes, thereby improving the accuracy and efficiency of pro-poor, health and wellbeing interventions; (v) scientific education through training at related universities; and (vi) community engagement, whereby coordinated engagement with communities will enable two-way learning between researchers and community members, and enabling research site communities and service providers to have access to and make effective use of research results.
SAPRIN data are processed for longitudinal analysis by organising the demographic data into residence episodes at a geographical location, and membership episodes within a household. Start events include enumeration, birth, in-migration and relocating into a household from within the study population; exit events include death (by cause), out-migration, and relocating to another location in the study population. Variables routinely updated at individual level include health care utilisation, marital status, labour status, education status, as well as recording household asset status. Anticipated outcomes of SAPRIN include: (i) regular releases of up-to-date, longitudinal data, representative of South Africa’s fast-changing poorer communities for research, interpretation and calibration of national datasets; (ii) national statistics triangulation, whereby longitudinal SAPRIN data are triangulated with National Census data for calibration of national statistics and studying the mechanisms driving the national statistics; (iii) An interdisciplinary research platform for conducting observational and interventional research at population level; (iv) policy engagement to provide evidence to underpin policy-making for cost evaluation and targeting intervention programmes, thereby improving the accuracy and efficiency of pro-poor, health and wellbeing interventions; (v) scientific education through training at related universities; and (vi) community engagement, whereby coordinated engagement with communities will enable two-way learning between researchers and community members, and enabling research site communities and service providers to have access to and make effective use of research results.
Kind of Data
Event/transaction data
Unit of Analysis
Exposure episodes
Version
Version Description
v1: Edited, anonymised data for public distribution
Version Date
2019-04-01
Scope
Notes
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.
Keywords
| Keyword |
|---|
| Fertility |
| Migration |
| Mortality |
Coverage
Geographic Coverage
The Agincourt HDSS covers an area of approximately 420km2 and is located in Bushbuckridge District, Mpumalanga in the rural north-east of South Africa close to the Mozambique border. DIMAMO is located in the Capricorn district, Limpopo Province approximately 40 km from Polokwane, the capital city of Limpopo Province and 15-50 km from the University of Limpopo (Turfloop Campus). The site covers an area of approximately 200 km2. AHRI is 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 438km2.
Universe
Households resident in dwellings within the study area will be eligible for inclusion in the household component of SAPRIN. 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
Primary investigators
| Name | Affiliation |
|---|---|
| Prof Mark Collinson | SAPRIN |
| Dr Kobus Herbst | SAPRIN |
| Prof Steve Tollman | Agincourt |
| Prof Marianne Alberts | DIMAMO |
| Prof Deenan Pillay | AHRI |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Taurayi Mudzana | SAPRIN | Technical Assistance |
| Tinofa Mutevedzi | SAPRIN | Technical Assistance |
| Chodziwadziwa Kabudula | Agincourt | Technical Assistance |
| Joseph Tlouyamma | DIMAMO | Technical Assistance |
| Dickman Gareta | AHRI | Technical Assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Department of Science and Technology | DST | Current Funder |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Agincourt Data Team | Agincourt | Nodal Data Management |
| DIMAMO Data Team | DIMAMO | Nodal Data Management |
| AHRI Data Team | AHRI | Nodal Data Management |
| Agincourt Data Collection Team | Agincourt | Data Collection |
| DIMAMO Data Collection Team | DIMAMO | Data Collection |
| AHRI Data Collection Team | AHRI | Data Collection |
| Agincourt Community Engagement Team | Agincourt | Community Engagement |
| DIMAMO Community Engagement Team | DIMAMO | Community Engagement |
| AHRI Community Engagement Team | AHRI | Community Engagement |
Sampling
Sampling Procedure
This dataset is not based on a sample but contains information from the complete demographic surveillance areas.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 1993-01-01 | 2017-12-31 | Agincourt |
| 2017-12-31 | 2017-12-31 | DIMAMO |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 1993-01-01 | 2017-12-31 | Agincourt |
| 2017-12-31 | 2017-12-31 | DIMAMO |
Data Collection Notes
In all the HDSS nodes, data are collected from a household proxy respondent, preferably the head of household or any next available senior adult resident household member, after informed consent was obtained by trained fieldworkers. Respondents are informed of the purpose and confidentiality of the interview, their right to refuse participation or withdraw from the study, and that scientists would be given access to anonymised data to analyse and publish information. Informed consent was verbal in all HDSS nodes until 2016. Written informed consent started in 2017 in AHRI, and 2018 in DIMAMO and 2019 in Agincourt. Until 2016 for Agincourt and AHRI, and 2017 for DIMAMO, data collection was field-based paper and pen personal interviews (PAPI), before changing to field-based computer-assisted personal interviews (CAPI). From 2019, all SAPRIN HDSS nodes will collect data in 3 annual rounds over a 45-week data collection schedule; one field-based CAPI round, sandwiched on either side by a Call-Centre-based computer assisted telephonic interview (CATI), to create 3 data points at an interval of approximately 4 months in each calendar year. In the past HDSS nodes had different data collection frequency. AHRI data collection was 2 PAPI rounds per year from inception to 2011, changing to 3 PAPI rounds per year between 2012 and 2016, before becoming 1 PAPI round and 2 CATI rounds from 2017. Agincourt and DIMAMO have been collecting data once annually in a census-type format, over 4-5-month period until 2018.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Dr Kobus Herbst | SAPRIN | kobus.herbst@mrc.ac.za |
Access conditions
This data is made available for access under the following conditions:
· The data and other materials provided by SAPRIN will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of SAPRIN.
· The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organisations. The Data User will neither use nor permit others to use the data in any way other than listed in the original application (Analysis Plan) for access to the dataset.
· No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery should immediately be reported to SAPRIN.
· No attempt will be made to produce links among datasets provided by SAPRIN, or among data from SAPRIN and other datasets that could identify individuals or organizations.
· The Data User will ensure that the data are kept in a secured environment and that only authorized users have access to the data.
· Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from SAPRIN will cite the source of data in accordance with the Citation Requirement provided with each dataset.
· An electronic copy of all reports and publications based on the requested data will be sent to SAPRIN.
· The original collector of the data, SAPRIN, and relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
· Once the data set has served its indicated purpose it must be destroyed. If the dataset needs to be lodged for publication purposes, a reference (a digital object identifier will be maintained by SAPRIN for this purpose) to the original dataset on the SAPRIN data repository should be used. Derived or aggregated datasets produced from the original dataset do not fall within this provision and may be lodged as publication datasets. If the same dataset is needed for a different purpose, the dataset should be re-requested and the new purposes indicated.
· The data and other materials provided by SAPRIN will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of SAPRIN.
· The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organisations. The Data User will neither use nor permit others to use the data in any way other than listed in the original application (Analysis Plan) for access to the dataset.
· No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery should immediately be reported to SAPRIN.
· No attempt will be made to produce links among datasets provided by SAPRIN, or among data from SAPRIN and other datasets that could identify individuals or organizations.
· The Data User will ensure that the data are kept in a secured environment and that only authorized users have access to the data.
· Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from SAPRIN will cite the source of data in accordance with the Citation Requirement provided with each dataset.
· An electronic copy of all reports and publications based on the requested data will be sent to SAPRIN.
· The original collector of the data, SAPRIN, and relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
· Once the data set has served its indicated purpose it must be destroyed. If the dataset needs to be lodged for publication purposes, a reference (a digital object identifier will be maintained by SAPRIN for this purpose) to the original dataset on the SAPRIN data repository should be used. Derived or aggregated datasets produced from the original dataset do not fall within this provision and may be lodged as publication datasets. If the same dataset is needed for a different purpose, the dataset should be re-requested and the new purposes indicated.
Citation requirements
Mudzana, T; Collinson, M; Mutevedzi, T; Tollman, S; Alberts, M; Pillay, D; Herbst, K (2018): Saprin Individual Demographic Dataset 2018. South African Population Research Infrastructure. http://doi.org/10.23667/SAPRIN.SIDD2018
Access authority
| Name | Affiliation | |
|---|---|---|
| Dr Kobus Herbst | SAPRIN | kobus.herbst@mrc.ac.za |
Disclaimer and copyrights
Copyright
This dataset documentation is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download.
Metadata production
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Kobus Herbst | KH | SAPRIN | Documentation of Study and Review of the metadata |
| Taurayi Mudzana | TAU | SAPRIN | Documentation of Study and Review of the metadata |
| Tinofa Mutevedzi | TM | SAPRIN | Documentation of Study and Review of the metadata |
| Mark Collinson | MC | SAPRIN | Documentation of Study and Review of the metadata |
Date of Metadata Production
2019-06-05
DDI Document version
Version 2