DDI_ZAF_2000-2015_INDEPTH-ACDIS_v01_M iSHARE2 Technical Team AJ Herbst SH Dube 2017-06-29 NADA - v01 (June 2017) The DDI was produced by INDEPTH Network. It was downloaded on October 12, 2017 from http://www.indepth-ishare.org/index.php/catalog/137/ by the World Bank Microdata Library documentation team. - v02 (October 2017) Modifications in the study ID and DDI ID were done by the World Bank Microdata Library documentation team to match the standard used by the library and the IHSN Survey Catalog. Some metadata fields were also edited. Africa Health Research Institute INDEPTH Core Dataset 2000 - 2015 Residents only (Release 2017) Residents only, Release 2014 INDEPTH-ACDIS 2000-15 ZAF_2000-2015_INDEPTH-ACDIS_v01_M Kobus Herbst Frank Tanser Deenan Pillay

Dickman Gareta

Sweetness Dube

Tinofa Mutevedzi This dataset documentation is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download. NADA Wellcome Trust Wellcome Trust 50535 iSHARE2 Helpdesk Demographic Surveillance This dataset contains rounds 1 to 37 of demographic surveillance data covering the period from 1 Jan 2000 to 31 December 2015. 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 37 individual cross sectional components, rather that the information (events) associated with each individual could have been updated at each of these 37 surveillance rounds if the individual was under surveillance during any particular round. v1 : Version extracted from analytical database ACDIS_A20161215 This study represents only a portion of the total data associated with the complete AHRI Population Intervention Platform as described in the study abstract. Demography [N01.224] Age Distribution [N01.224.033] Emigration and Immigration [N01.224.625.350] Residential Mobility [N01.224.791.700] Sex Distribution [N01.224.803] Vital Statistics [N01.224.935] Life Expectancy [N01.224.935.464] Mortality [N01.224.935.698] Cause of Death [N01.224.935.698.100] Birth Rate [N01.224.935.849.500] Rural Population [N01.600.725] Maternal Age [N06.850.490.250.550] Parity [N06.850.490.812.600] Survival Analysis [N06.850.520.830.998] 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). 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. South Africa 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. Individual 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 2015). Event history data The study 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 and Destination Death: Cause Delivery: Live born and Still born counts Parity The Africa Health Research Institute This dataset contains rounds 1 to 37 of demographic surveillance data covering the period from 1 Jan 2000 to 31 December 2015. Two rounds of data collection took place annually except in 2002 when three surveillance rounds were conducted. From 1 Jan 2015 onwards there are three surveillance rounds per annum. This dataset is not based on a sample but contains information from the complete demographic surveillance area. Reponse units (households) by year: Year Households 200011856 200112321 200212981 200312165 200411841 200511312 200612065 200712165 200811790 200912145 201012485 201112455 201212087 201311988 201411778 201511938 In 2006 the number of response units increased due to the addition of a new village into the demographic surveillance area. None Proxy Respondent [proxy] Bounded structure registration (BSR) or update (BSU) form: - Used to register characteristics of the BS - Updates characteristics of the BS - Information as at previous round is preprinted Household registration (HHR) or update (HHU) form: - Used to register characteristics of the HH - Used to update information about the composition of the household - Information preprinted of composition and all registered households as at previous Household Membership Registration (HMR) or update (HMU): - Used to link individuals to households - Used to update information about the household memberships and member status observations - Information preprinted of member status observations as at previous Individual registration form (IDR): - Used to uniquely identify each individual - Mainly to ensure members with multiple household memberships are appropriately captured Migration notification form (MGN): - Used to record change in the BS of residency of individuals or households _ Migrants are tracked and updated in the database Pregnancy history form (PGH) & pregnancy outcome notification form (PON): - Records details of pregnancies and their outcomes - Only if woman is a new member - Only if woman has never completed WHL or WGH Death notification form (DTN): - Records all deaths that have recently occurred - Iincludes information about time, place, circumstances and possible cause of death Enumerators were trained immediately prior to the baseline data collection and then refresher training was conducted for one week between each surveillance round. New fieldworkers received a standardised 6 week training course prior to appointment as data collectors. Data entry staff received fieldwork training in addition to training in the use of the data entry programs. Fieldworkers operated in teams of between 8 and 12 fieldworkers supervised each supervised by a Fieldwork supervisor. Supervisors conduct supervised visits and quality control visits and review fieldworkers data collection. Not applicable On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validaton failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction. If the error was due to data inconsistencies that could not be directly traced to a data collection error, the record was referred to the data quality team under the supervision of the senior database scientist. This could request further field level investigation by a team of trackers or could correct the inconsistency directly at database level. No imputations were done on the resulting micro data set, except for: a. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG). b. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event. c. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG). d. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event. e. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an out-migration event (OMG) In the case of the village that was added (enumerated) in 2006, some individuals may have outmigrated from the original surveillance area and setlled in the the new village prior to the first enumeration. Where the records of such individuals have been linked, and indivdiual can legitmately have and outmigration event (OMG) forllowed by and enumeration event (ENU). In a few cases a homestead exit event (EXT) was followed by an enumeration event in these cases. In these instances the EXT events were changed to an out-migration event (OMG). To produce this micro-data set, the episode table is processed using Pentaho Kettle ETL program to produce this standard event-history format dataset. The following processing checks are done during the ETL process. 1. If the first event is legal. Like the first event must beenumeration, birth or inmigration. 2. If the last event is legal. Like the last event must be end of observtion, death or outmigration. 3. If the transition events are legal. The list of legal transitions: Birth followed by death Birth followed by exit Birth followed by end of observation Birth followed by outmigration Death followed by none Entry followed by death Entry followed by exit Entry followed by end of observation Entry followed by outmigration Enumeration followed by death Enumeration followed by exit Enumeration followed by outmigration Exit followed by entry Inmigration followed by Death Inmigration followed by exit Inmigration followed by end of observation Inmigration followed by outmigration End of observation followed by none Outmigration followed by none Outmigration followed by enumeration Outmigration followed by inmigration The list of illegal transitions: Birth followed by none Birth followed by birth Birth followed by entry Birth followed by enumeration Birth followed by inmigration Death followed by birth Death followed by death Death followed by entry Death followed by enumeration Death followed by exit Death followed by inmigration Death followed by outmigration Death followed by end of observation Entry followed by none Entry followed by birth Entry followed by entry Entry followed by enumeration Entry followed by inmigration Enumeration followed by none Enumeration followed by birth Enumeration followed by entry Enumeration followed by enumeration Enumeration followed by inmigration Exit followed by birth Exit followed by death Exit followed by exit Exit followed by end of observation Exit followed by outmigration Inmigration followed by none Inmigration followed by birth Inmigration followed by entry Inmigration followed by enumeration Inmigration followed by inmigration End of observation followed by birth End of observation followed by death End of observation followed by entry End of observation followed by enumeration End of observation followed by exit End of observation followed by inmigration End of observation followed by end of observation End of observation followed by outmigration Outmigration followed by birth Outmigration followed by death Outmigration followed by exit Outmigration followed by end of observation Outmigration followed by outmigration List of edited events: Exit followed by none Exit followed by enumeration Exit followed by inmigration Outmigration followed by entry Household response rates are as follows (assuming that if a household has not responded for 2 years following the last recorded visit to that household, that the household is lost to follow-up and no longer part of the response rate denominator): YearResponse Rate 200094% 200193% 200296% 200391% 200488% 200584% 200688% 200789% 200887% 200988% 201089% 201189% 201289% 201390% 201489% 201591% Not applicable INDEPTH Data Repository Africa Centre (ZA031) This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required. iSHARE2 Help desk Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form: "Africa Health Research Institute INDEPTH Core Dataset 2000-2015 (Residents only) - Release 2017. Jul 2017. Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. doi:10.7796/INDEPTH.ZA031.CMD2015.v1" This data is made available for licensed access under the following conditions: 1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement. 2. In the case of multi-centre datasets, data originating from a single contributing member centre of the INDEPTH Network may not be analysed or reported on in isolation without the express permission of the member centre concerned. 3. No attempt will be made to re-identify respondents, and there will be no use of the identity of any person or establishment discovered inadvertently. Any such discovery will be reported immediately to INDEPTH. 4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. 5. Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from INDEPTH will cite the source, in line with the citation requirement provided with the dataset. 6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. 7. The original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it. The user of the data acknowledges that the original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it. ZA031.CMD2015.v1 Event History Micro Data Set 0 14 RecNr RecNr RecNr RecNr RecNr A sequential number uniquely identifying each record in the data file CountryId CountryId CountryId CountryId CountryId ISO 3166-1 numeric code of the country in which the surveillance site is situated CentreId CentreId CentreId CentreId CentreId An identifier issued by INDEPTH to each member centre of the format CCCSS, where CCC is a sequential centre identifier and SS is a sequential identifier of the site within the centre in the case of multiple site centres IndividualId IndividualId IndividualId IndividualId IndividualId A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not be the same as the identifier used by a contributing centre to identify the individual. Sex Sex Sex Sex Sex Unknown 1 Male 2 Female Sex of the individual. DoB DoB DoB DoB DoB The date of birth of the individual. Format: YYYY/MM/DD EventCount EventCount EventCount EventCount EventCount The total number of events associated with this individual in this data set EventNr EventNr EventNr EventNr EventNr A number increasing from 1 to EventCount for each event record in order of event occurrence EventCode EventCode EventCode EventCode EventCode BTH Birth DLV Delivery DTH Death ENT Location Entry ENU Enumeration EXT Location exit IMG In-migration OBE Observation end OBL Last observation OBS Observation OMG Out-migration A code identifying the type of event that has occurred. EventDate EventDate EventDate EventDate EventDate The date on which the event occurred. Format: YYYY/MM/DD ObservationDate ObservationDate ObservationDate ObservationDate ObservationDate Date on which the event was observed (recorded), also known as surveillance visit date. Format: YYYY/MM/DD Dates less than 1800/01/01 are mssing values LocationId LocationId LocationId LocationId LocationId Unique identifier associated with a residential unit within the site and is the location where the individual was or became resident when the event occurred. This identifier is not be the same as the identifier used internally by the contributing centre. MotherId MotherId MotherId MotherId MotherId The IndividualId of the mother. Only provided for BTH events. DeliveryId DeliveryId DeliveryId DeliveryId DeliveryId The RecNr of the delivery event associated with this birth