{"type":"survey","doc_desc":{"title":"Africa Health Research Institute INDEPTH Core Dataset 2000-2015 (Residents only) - Release 2017","idno":"DDI_ZAF_2000-2015_INDEPTH-ACDIS_v01_M","producers":[{"name":"iSHARE2 Technical Team","abbreviation":"iS2TT","affiliation":"INDEPTH Network","role":"Documentation of the study"},{"name":"AJ Herbst","abbreviation":"","affiliation":"Africa Health Research Institute (ZA031)","role":"DDI author"},{"name":"SH Dube","abbreviation":"","affiliation":"Africa Health Research Institute (ZA031)","role":"Data documentation archivist"}],"prod_date":"2017-06-29","version_statement":{"version":"- v01 (June 2017)\nThe 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.\n\n- v02 (October 2017)\nModifications 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.","version_notes":"Version 1 : Initial version"}},"study_desc":{"title_statement":{"idno":"ZAF_2000-2015_INDEPTH-ACDIS_v01_M","title":"Africa Health Research Institute INDEPTH Core Dataset 2000 - 2015 Residents only (Release 2017)","sub_title":"Residents only, Release 2014","alt_title":"INDEPTH-ACDIS 2000-15"},"authoring_entity":[{"name":"Kobus Herbst","affiliation":"Africa Health Research Institute (ZA031)"},{"name":"Frank Tanser","affiliation":"Africa Health Research Institute (ZA031)"},{"name":"Deenan Pillay","affiliation":"Africa Health Research Institute (ZA031)"}],"oth_id":[{"name":"Dickman Gareta","affiliation":"Africa Health Research Institute (ZA031)","email":"","role":"Database Scientist"},{"name":"Sweetness Dube","affiliation":"Africa Health Research Institute (ZA031)","email":"","role":"Data Documentation Archivist"}],"production_statement":{"producers":[{"name":"Tinofa Mutevedzi","affiliation":"Africa Health Research Insittute (ZA031)","role":"Data Collection"}],"funding_agencies":[{"name":"Wellcome Trust","abbreviation":"WT","role":""},{"name":"Wellcome Trust","abbreviation":"WT","role":"prior funder"}],"grant_no":"50535","copyright":"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."},"distribution_statement":{"contact":[{"name":"iSHARE2 Helpdesk","affiliation":"INDEPTH","email":"help-data@indepth-network.org","uri":"http:\/\/www.indepth-ishare.org\/index.php\/howtouse"}]},"series_statement":{"series_name":"Demographic Surveillance","series_info":"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."},"version_statement":{"version":"v1 : Version extracted from analytical database ACDIS_A20161215\n\nThis study represents only a portion of the total data associated with the complete AHRI Population Intervention Platform as described in the study abstract.","version_date":"2017"},"holdings":[{"text":"","location":"","callno":"","uri":"doi.org\/10.7796\/INDEPTH.ZA031.CMD2011.V1"}],"study_info":{"topics":[{"topic":"Demography [N01.224]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Age Distribution [N01.224.033]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Emigration and Immigration [N01.224.625.350]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Residential Mobility [N01.224.791.700]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Sex Distribution [N01.224.803]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Vital Statistics [N01.224.935]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Life Expectancy [N01.224.935.464]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Mortality [N01.224.935.698]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Cause of Death [N01.224.935.698.100]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Birth Rate [N01.224.935.849.500]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Rural Population [N01.600.725]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Maternal Age [N06.850.490.250.550]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Parity [N06.850.490.812.600]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Survival Analysis [N06.850.520.830.998]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"}],"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.\n\nACDIS was established to \u2018describe the demographic, social and health impact of the HIV epidemic in a population going through the health transition\u2019 and to monitor the impact of intervention strategies on the epidemic. South Africa\u2019s 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\u2014i.e. not as a series of cross-sections.\n\nThe 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\u20133000 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.\n\nTo 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.\n\nDuring 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.","time_periods":[{"start":"2000-01-01","end":"2011-12-31","cycle":"Release coverage"}],"coll_dates":[{"start":"2000-01-01","end":"2015-12-31","cycle":"Release coverage"},{"start":"2000-08-01","end":"2001-02-01","cycle":"Round 2"},{"start":"2001-02-01","end":"2001-06-25","cycle":"Round 3 "},{"start":"2001-06-25","end":"2002-01-07","cycle":"Round 4"},{"start":"2002-01-07","end":"2002-05-06","cycle":"Round 5"},{"start":"2002-05-06","end":"2002-09-02","cycle":"Round 6"},{"start":"2002-09-02","end":"2003-01-08","cycle":"Round 7"},{"start":"2003-01-08","end":"2003-06-18","cycle":"Round 8"},{"start":"2003-06-18","end":"2003-11-27","cycle":"Round 9"},{"start":"2003-11-27","end":"2004-06-07","cycle":"Round 10"},{"start":"2004-06-07","end":"2005-01-01","cycle":"Round 11"},{"start":"2005-01-01","end":"2005-07-04","cycle":"Round 12"},{"start":"2005-07-04","end":"2006-01-10","cycle":"Round 13"},{"start":"2006-01-10","end":"2006-07-17","cycle":"Round 14"},{"start":"2006-07-17","end":"2007-01-10","cycle":"Round 15"},{"start":"2007-01-10","end":"2007-07-11","cycle":"Round 16"},{"start":"2007-07-11","end":"2008-01-13","cycle":"Round 17"},{"start":"2008-01-13","end":"2008-07-01","cycle":"Round 18"},{"start":"2008-07-01","end":"2009-01-11","cycle":"Round 19"},{"start":"2009-01-11","end":"2009-07-13","cycle":"Round 20"},{"start":"2009-07-13","end":"2009-12-11","cycle":"Round 21"},{"start":"2009-12-11","end":"2010-06-11","cycle":"Round 22"},{"start":"2010-06-11","end":"2010-12-21","cycle":"Round 23"},{"start":"2010-12-21","end":"2011-06-20","cycle":"Round 24"},{"start":"2011-06-20","end":"2011-11-17","cycle":"Round 25"},{"start":"2012-01-11","end":"2012-05-29","cycle":"Round 26"}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_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.","analysis_unit":"Individual","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 2015).","data_kind":"Event history data","notes":"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.\n\nAttributes common to each event:\nEvent Type,\nEvent Date\nObservation date\n\nMigration:\nOrigin and Destination\n\nDeath:\nCause\n\nDelivery:\nLive born and Still born counts\nParity","study_scope":"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.\n\nAttributes common to each event:\nEvent Type,\nEvent Date\nObservation date\n\nMigration:\nOrigin and Destination\n\nDeath:\nCause\n\nDelivery:\nLive born and Still born counts\nParity"},"method":{"data_collection":{"data_collectors":[{"name":"The Africa Health Research Institute","abbreviation":"ZA031","affiliation":"UKZN"}],"frequency":"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.","sampling_procedure":"This dataset is not based on a sample but contains information from the complete demographic surveillance area.\n\nReponse units (households) by year:\nYear         Households\n2000\t11856\t\n2001\t12321\t\n2002\t12981\t\n2003\t12165\t\n2004\t11841\t\n2005\t11312\t\n2006\t12065\t\n2007\t12165\t\n2008\t11790\t\n2009\t12145\t\n2010\t12485\t\n2011\t12455\t\n2012\t12087\n2013\t11988\n2014\t11778\n2015\t11938\n\nIn 2006 the number of response units increased due to the addition of a new village into the demographic surveillance area.","coll_mode":"Proxy Respondent [proxy]","research_instrument":"Bounded structure registration (BSR) or update (BSU) form:\n- Used to register characteristics of the BS\n- Updates characteristics of the BS\n- Information as at previous round is preprinted\n\nHousehold registration (HHR) or update (HHU) form:\n- Used to register characteristics of the HH\n- Used to update information about the composition of the household\n- Information preprinted of composition and all registered households as at previous\n\nHousehold Membership Registration (HMR) or update (HMU):\n- Used to link individuals to households\n- Used to update information about the household memberships and member status observations\n- Information preprinted of member status observations  as at previous\n\nIndividual registration form (IDR):\n- Used to uniquely identify each individual\n- Mainly to ensure members with multiple household memberships are appropriately captured\n\nMigration notification form (MGN):\n- Used to record change in the BS of residency of individuals or households\n_ Migrants are tracked and updated in the database\n\nPregnancy history form (PGH) & pregnancy outcome notification form (PON):\n- Records details of pregnancies and their outcomes\n- Only if woman is a new member\n- Only if woman has never completed WHL or WGH\n\nDeath notification form (DTN):\n- Records all deaths that have recently occurred\n- Iincludes information about time, place, circumstances and possible cause of death","coll_situation":"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.","act_min":"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.","weight":"Not applicable","cleaning_operations":"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.\n\nNo imputations were done on the resulting micro data set, except for:\n\na. 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).\nb.  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.\nc. 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).\nd. 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.\ne. 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)\n\nIn 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).\n\nTo produce this micro-data set, the episode table is processed using Pentaho Kettle ETL program to produce this standard event-history format dataset.\n\nThe following processing checks are done during the ETL process.\n\n1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.\n2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.\n3. If the transition events are legal.\n    The list of legal transitions:\n    \n    Birth followed by death\n    Birth followed by exit\n    Birth followed by end of observation\n    Birth followed by outmigration\n    \n    Death followed by none\n    \n    Entry followed by death\n    Entry followed by exit\n    Entry followed by end of observation\n    Entry followed by outmigration\n    Enumeration followed by death\n    Enumeration followed by exit\n    Enumeration followed by outmigration\n    \n    Exit followed by entry\n    \n    Inmigration followed by Death\n    Inmigration followed by exit\n    Inmigration followed by end of observation\n    Inmigration followed by outmigration\n    \n    End of observation followed by none\n    \n    Outmigration followed by none\n    Outmigration followed by enumeration\n    Outmigration followed by inmigration\n    \n    The list of illegal transitions:\n    \n    Birth followed by none\n    Birth followed by birth\n    Birth followed by entry\n    Birth followed by enumeration\n    Birth followed by   inmigration\n     \n    Death followed by birth\n    Death followed by death\n    Death followed by entry\n    Death followed by enumeration\n    Death followed by exit\n    Death followed by inmigration\n    Death followed by outmigration\n    Death followed by end of observation\n    \n    Entry followed by none\n    Entry followed by birth\n    Entry followed by entry\n    Entry followed by enumeration\n    Entry followed by inmigration\n    \n    Enumeration followed by none\n    Enumeration followed by birth\n    Enumeration followed by entry\n    Enumeration followed by enumeration\n    Enumeration followed by inmigration\n    \n    Exit followed by birth\n    Exit followed by death\n    Exit followed by exit\n    Exit followed by end of observation\n    Exit followed by outmigration\n    \n    Inmigration followed by none\n    Inmigration followed by birth\n    Inmigration followed by entry\n    Inmigration followed by enumeration\n    Inmigration followed by inmigration\n    \n    End of observation followed by birth\n    End of observation followed by death\n    End of observation followed by entry\n    End of observation followed by enumeration\n    End of observation followed by exit\n    End of observation followed by inmigration\n    End of observation followed by end of observation\n    End of observation followed by outmigration\n    \n    Outmigration followed by birth\n    Outmigration followed by death\n    Outmigration followed by exit\n    Outmigration followed by end of observation\n    Outmigration followed by outmigration\n    \n    List of edited events:\n    \n    Exit followed by none\n    Exit followed by enumeration\n    Exit followed by inmigration\n    \n    Outmigration followed by entry","method_notes":"All homesteads in the Hlabisa sub-district were geocoded and entered into a geographic information system (GIS) prior to the start of surveillance. The demographic surveillance area was selected on the basis of this information to include an area with clear geographic boundaries and an estimated population size suitable for the envisaged research agenda. Since then the GIS database has been updated based on notification of new homesteads from the fieldwork and periodic reviews of satellite and aerial photography.\n\nMapping teams used differentially coorrected global positioning system (GPS) units (accuracy <2m) to geocode homesteads. \n\nHow document control was conducted to ensure all census forms were completed?\n\nBefore each round, a SQL script generated a list of questionnaires to be printed for each household resident in the surveillance area. Each questionnaire is given a unique integer key which is printed as a barcode on the questionnaire.  A series of web-based reports called 'Unified Reports' are then used to track and control the status of each questionnaire from document production, data collection, data entry and document archiving. A strict chain of custody is enforced for all questionnaire movements.\n\nA data entry is performed by a team of 6 data capturers with one supervisor using in-house developed software (Delphi and .NET C#). Double-entry is not routinely used except in the case of verbal autopsy questionnaires. \n\nData is stored in a MS SQL database, with transaction logging, daily backups and twice weekly off-site backups. Constraints and validation rules placed on the database help in checking data quality during data entry. \n\nAll data entry done by each data capturer in the first five days of each round is 100% rechecked by the supervisor. If during those 5 days the data capturer's work is consistently error-free, only 20% of their work will be subjected to rechecking by a supervisor. If any error is picked up in the 20% rechecking, then their work gets subjected to 100% recheck for another 5 consecutive days. \n\nField QC Procedures\n\n- Supervised visits - this exercise is carried by the fieldworker and the supervisor jointly. The two select a sample of bounded structures which they will visit together. During a Supervised visit, the supervisor listens and observes as the fieldworker conducts the interviews without interrupting. The supervisor uses a checklist to write observations and comments for feedback and further training of a particular fieldworker immediately after departure from a BS,. The supervised visit checklist is submitted to the QC section and is used for performance analysis, as well as for identification of training needs.\n\n- Quality Control visits - these are repeat data collection visits conducted by a fieldwork supervisor soon after the fieldworker completes routine data collection at a homestead. This is done mainly to ensure accuracy and reliability of the information collected by fieldworkers. Quality control visits are selected randomly by the computer at a 5% sample of the total number of homesteads to be visited per each round. The original copy and the supervisor's copy are then compared by the quality controllers to identify discrepancies between the two. If discrepancies are found, the two copies are rejected back to the field for reconciliation between the two. The records are also kept at the quality control section for analyses towards the end of the round and this also contributes to performance management of individual employees QC at the office before data entry.\n\nAfter data collection and before data entry, the office-based QC section checks questionnaires for completeness, consistency and accuracy. If a questionnaire failed to meet the quality standard requirements, the QC clerk send back the questionnaires to the field worker's supervisor.\n\nSpecify how the data was extracted (including which software program was used) to produce the core micro data set. How was inconsistent records dealt with during this process?\n\nFollowing data collection and data entry completion at the end of a surveillance round, a snapshot of the operational database is created as an analytical database. each such snapshot is uniquely identified and analytical datasets must reference the analytical database thay originated from. Analytical datasets are never produced directly from the operational database, as this database is continually in flux as data is updated through the data collection and entry processes.\n\nAn sql script produces a normalised episode table each time an analytical database is created. This episode table contains an exposure record for each exposure episode for an individual, from initial enumeration, birth or in-migration, up to eventual death or out-migration. The episode table contains the start event and date of the exposure as well as the end event and date of the end of exposure. Individuals that out-migrate and later in-migrate are reconciled as far as possible using individual identifiers (national identity number, names, sex and date of birth) under a single individual identity. All internal movements (migrations) are reconciled and residencies at different homesteads within the surveillance area are reflected as separate episodes in the episode table.\n\nIn the case of deaths, the next of kin are visited by a verbal autopsy nurse and a derivation of the INDEPTH standard verbal autopsy questionnaire is used to document the death. The verbal autopsy questionnaires are interpreted by the INTERVA-4 program to derive cause of death information.","sampling_deviation":"None"},"analysis_info":{"response_rate":"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):\n\nYear\tResponse Rate\t\n2000\t94%\t\n2001\t93%\t\n2002\t96%\t\n2003\t91%\t\n2004\t88%\t\n2005\t84%\t\n2006\t88%\t\n2007\t89%\t\n2008\t87%\t\n2009\t88%\t\n2010\t89%\t\n2011\t89%\t\n2012\t89%\n2013\t90%\n2014\t89%\n2015\t91%","sampling_error_estimates":"Not applicable"}},"data_access":{"dataset_availability":{"access_place":"INDEPTH Data Repository","access_place_uri":"http:\/\/www.indepth-ishare.org\/index.php\/catalog\/43","original_archive":"Africa Centre (ZA031)"},"dataset_use":{"conf_dec":[{"txt":"This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"iSHARE2 Help desk","affiliation":"INDEPTH","email":"help-data@indepth-network.org","uri":""}],"cit_req":"Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:\n\n\"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\"","conditions":"This data is made available for licensed access under the following conditions: \n\n1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement. \n\n2. 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.  \n\n3. 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. \n\n4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. \n\n5. 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. \n\n6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. \n\n7. 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.","disclaimer":"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."}}},"data_files":[{"file_id":"F1","file_name":"ZA031.CMD2015.v1","description":"Event History Micro Data Set","case_count":"0","var_count":"14","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"RecNr","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"6","var_width":"6","var_rec_seg_no":"1","labl":"RecNr","var_val_range":[{"units":"REAL","min":"1","max":"488221"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A sequential number uniquely identifying each record in the data file","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"CountryId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"7","var_end_pos":"9","var_width":"3","var_rec_seg_no":"1","labl":"CountryId","var_val_range":[{"units":"REAL","min":"710","max":"710"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"ISO 3166-1 numeric code of the country in which the surveillance site is situated","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"CentreId","file_id":"F1","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"14","var_width":"5","var_rec_seg_no":"1","labl":"CentreId","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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","var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"IndividualId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"15","var_end_pos":"20","var_width":"6","var_rec_seg_no":"1","labl":"IndividualId","var_val_range":[{"units":"REAL","min":"1","max":"135061"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V5","name":"Sex","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"21","var_end_pos":"21","var_width":"1","var_rec_seg_no":"1","labl":"Sex","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sex of the individual.","var_catgry":[{"value":"0","labl":"Unknown","stats":null,"type":null},{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"DoB","file_id":"F1","var_intrvl":"discrete","var_start_pos":"22","var_end_pos":"31","var_width":"10","var_rec_seg_no":"1","labl":"DoB","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"The date of birth of the individual. Format: YYYY\/MM\/DD","var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V7","name":"EventCount","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"33","var_width":"2","var_rec_seg_no":"1","labl":"EventCount","var_val_range":[{"units":"REAL","min":"2","max":"22"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The total number of events associated with this individual in this data set","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V8","name":"EventNr","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"EventNr","var_val_range":[{"units":"REAL","min":"1","max":"22"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A number increasing from 1 to EventCount for each event record in order of event occurrence","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V9","name":"EventCode","file_id":"F1","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"38","var_width":"3","var_rec_seg_no":"1","labl":"EventCode","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A code identifying the type of event that has occurred.","var_catgry":[{"value":"BTH","labl":"Birth","stats":null,"type":null},{"value":"DLV","labl":"Delivery","stats":null,"type":null},{"value":"DTH","labl":"Death","stats":null,"type":null},{"value":"ENT","labl":"Location Entry","stats":null,"type":null},{"value":"ENU","labl":"Enumeration","stats":null,"type":null},{"value":"EXT","labl":"Location exit","stats":null,"type":null},{"value":"IMG","labl":"In-migration","stats":null,"type":null},{"value":"OBE","labl":"Observation end","stats":null,"type":null},{"value":"OBL","labl":"Last observation","stats":null,"type":null},{"value":"OBS","labl":"Observation","stats":null,"type":null},{"value":"OMG","labl":"Out-migration","stats":null,"type":null}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V10","name":"EventDate","file_id":"F1","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"48","var_width":"10","var_rec_seg_no":"1","labl":"EventDate","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"The date on which the event occurred. Format: YYYY\/MM\/DD","var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V11","name":"ObservationDate","file_id":"F1","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"58","var_width":"10","var_rec_seg_no":"1","labl":"ObservationDate","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"Date on which the event was observed (recorded), also known as surveillance visit date. Format: YYYY\/MM\/DD\n\nDates less than 1800\/01\/01 are mssing values","var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V12","name":"LocationId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"59","var_end_pos":"63","var_width":"5","var_rec_seg_no":"1","labl":"LocationId","var_val_range":[{"units":"REAL","min":"1","max":"14774"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V13","name":"MotherId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"64","var_end_pos":"69","var_width":"6","var_rec_seg_no":"1","labl":"MotherId","var_val_range":[{"units":"REAL","min":"1","max":"135068"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The IndividualId of the mother. Only provided for BTH events.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V14","name":"DeliveryId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"70","var_end_pos":"74","var_width":"5","var_rec_seg_no":"1","labl":"DeliveryId","var_val_range":[{"units":"REAL","min":"1","max":"17359"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The RecNr of the delivery event associated with this birth","var_format":"numeric","var_format_schema":"other","fid":"F1"}],"variable_groups":[]}