{"type":"survey","doc_desc":{"title":"Ouagadougou HDSS INDEPTH Core Dataset 2009-2014 (Release 2017)","idno":"DDI_BFA_2009-2014_INDEPTH-OHDSS_v01_M","producers":[{"name":"iSHARE2 Technical Team","abbreviation":"isTT","affiliation":"INDEPTH Network","role":"Technical Support"},{"name":"Dielbeogo Dasmane","abbreviation":"","affiliation":"Ouagadougou HDSS","role":"DDI Author"}],"prod_date":"2017-05-16","version_statement":{"version":"- v01 (May 2017)\nThe DDI was produced by INDEPTH Network. It was downloaded on October 18, 2017 from http:\/\/www.indepth-ishare.org\/index.php\/catalog\/117\/ 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":"CMD2014.v1:  For public distribution"}},"study_desc":{"title_statement":{"idno":"BFA_2009-2014_INDEPTH-OHDSS_v01_M","title":"Ouagadougou HDSS INDEPTH Core Dataset 2009 - 2014 (Release 2017)","sub_title":"Residents only","alt_title":"HDSS 2009-11","translated_title":"Donn\u00e9es 2009-2013 de l'Observatoire de  Population de Ouagadougou au Burkina Faso"},"authoring_entity":[{"name":"Abdramane Soura","affiliation":"Ouagadougou HDSS Site Leader (BF041)"}],"oth_id":[{"name":"Stephanie Dos Santos","affiliation":"IRD","email":"","role":"Coordination team"},{"name":"Clementine Rossier","affiliation":"INED","email":"","role":"Coordination team"},{"name":"Scientific advisor committee","affiliation":"ISSP, Ouagadougou University","email":"","role":"Scientific committee"},{"name":"Clementine Rossier","affiliation":"INED","email":"","role":"Coordination team"},{"name":"Scientific advisor committee","affiliation":"OHDSS","email":"","role":"Scientific committee"}],"production_statement":{"producers":[{"name":"OHDSS Team","affiliation":"","role":"Questionnaire design, Sampling methodology\/selection, Data collection, Data analysis"},{"name":"Kombassdere Kouliga","affiliation":"OHDSS","role":"Data Collection and processing"},{"name":"Dielbeogo Dasmane","affiliation":"OHDSS","role":"Data Collection and processing"},{"name":"Compaore Yacou","affiliation":"OHDSS","role":"Data Collection and analysis"}],"funding_agencies":[{"name":"Wellcome Trust","abbreviation":"WT","role":"Prior funder"},{"name":"African Population and Health Reseach Centre","abbreviation":"APHRC","role":"Secondary funder"},{"name":"International Vaccine Institute","abbreviation":"IVI","role":"Funder of TSAP Burkina"},{"name":"International Development Research Centre","abbreviation":"IDRC","role":"Funder of water and climate variabiliy project"}],"grant_no":"WT081993MA 1 1 1","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 Network","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 0 to 7  of health and demographic surveillance data covering the period from October 2008  to 31 December 2014. Two rounds of data collection took place annually."},"version_statement":{"version":"CMD2014.V1: Edited dataset for public distribution","version_date":"2017-05-16","version_notes":"Developing during workshop and updating after the workshop"},"holdings":[{"text":"","location":"","callno":"","uri":"doi.org\/10.7796\/INDEPTH.BF041.CMD2011.v4"}],"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":"Marital Status [N01.224.361.500]","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":"Population Growth [N01.224.625.660]","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":"Survival Rate [N01.224.935.698.826]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Pregnancy Rate [N01.224.935.849]","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":"Mental Health [N01.400.500]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Reproductive Health [N01.400.625]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Urban Health [N01.400.800]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Suburban Health [N01.400.700]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Urban Population [N01.600.900]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Suburban Population [N01.600.775]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Educational Status [N01.824.196]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Employment [N01.824.245]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Medical Indigency [N01.824.460]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Poverty [N01.824.600]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Health Services [N02.421]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Delivery of Health Care [N05.300]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Cities [N06.230.069]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Disasters [N06.230.100]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Fresh Water [N06.230.232]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Rain [N06.230.520]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Food Safety [N06.850.617]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Health Transition [N06.850.650]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Hygiene [N06.850.670]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Sanitation [N06.850.860]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"}],"abstract":"The Ouagadougou Health and Demographic Surveillance System (Ouagadougou HDSS), located in five neighborhoods at the northern periphery of the capital of Burkina Faso, was established in 2008. Data on vital events (births, deaths, unions, migration events) are collected during household visits that have taken place every 10 months. \n\nThe areas were selected to contrast informal neighborhoods (40,000 residents) with formal areas (40,000 residents), with the aims of understanding the problems of the urban poor, and testing innovative programs that promote the well-being of this population. People living in informal areas tend to be marginalized in several ways: they are younger, poorer, less educated, farther from public services and more often migrants. Half of the residents live in the Sanitary District of Kossodo and the other half in the District of Sig-Nonghin.\n\nThe Ouaga HDSS has been used to study health inequalities, conduct a surveillance of typhoid fever, measure water quality in informal areas, study the link between fertility and school investments, test a non-governmental organization (NGO)-led program of poverty alleviation and test a community-led targeting of the poor eligible for benefits in the urban context. Key informants help maintain a good rapport with the community. \n\nThe areas researchers follow consist of 55 census tracks divided into 494 blocks. Researchers mapped all the census tracks and blocks using fieldworkers with handheld global positioning system (GPS) receivers and ArcGIS. During a first census (October 2008 to March 2009), the demographic surveillance system was explained to every head of household and a consent form was signed; during subsequent censuses, new households were enrolled in the same way.","time_periods":[{"start":"2008-10-07","end":"2013-12-20","cycle":"Release coverage"}],"coll_dates":[{"start":"2009-01-01","end":"2014-12-31","cycle":"Release coverage"},{"start":"2009-11-01","end":"2009-11-14","cycle":"Round 1"},{"start":"2010-02-09","end":"2010-11-08","cycle":"Round 2"},{"start":"2011-07-01","end":"2012-05-15","cycle":"Round 3"},{"start":"2012-07-24","end":"2012-11-30","cycle":"Round 4"},{"start":"2013-02-23","end":"2013-07-05","cycle":"Round 5"},{"start":"2013-08-06","end":"2013-12-15","cycle":"Round 6"}],"nation":[{"name":"Burkina Faso","abbreviation":"BFA"}],"geog_coverage":"Ouagadougou is the capital city of Burkina Faso and lies at the centre of this country, located in the middle of West Africa (128 North of the Equator and 18 West of the Prime Meridian).","analysis_unit":"Individual","universe":"Resident household members of households resident within the demographic surveillance area. Inmigrants (visitors) are defined by intention to become resident, but actual residence episodes of less than six months (180 days) are censored. Outmigrants are defined by intention to become resident elsewhere, but actual periods of non-residence less than six months (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 residents during the study period (03 Oct. 2009 to 31 Dec. 2014).","data_kind":"Event history data","notes":"Attributes common to each event: event type, event date, observation date\nMigration: origin & destination\nDeath: cause\nDelivery: live born and still born counts, parity","study_scope":"Attributes common to each event: event type, event date, observation date\nMigration: origin & destination\nDeath: cause\nDelivery: live born and still born counts, parity","keywords":[{"keyword":"Migration","vocab":"","uri":""},{"keyword":"Fertility","vocab":"","uri":""},{"keyword":"Mortality","vocab":"","uri":""},{"keyword":"Population","vocab":"","uri":""}]},"method":{"data_collection":{"data_collectors":[{"name":"The Ouagadougou Health and Demographic Surveillance System","abbreviation":"BF041","affiliation":"ISSP\/UO"}],"frequency":"This dataset contains rounds 0 to 7  of demographic surveillance data covering the period from 07 Oct. 2008 to 31 December 2014.","sampling_procedure":"This dataset is not based on a sample, it contains information from the complete demographic surveillance area of Ouagadougou in Burkina Faso.\n\nReponse units (households) by Round:\nRound         Households                    \n2008          4941\t       \n2009          19159\t\n2010          21168\t\t\n2011          12548\t\n2012           24174\n2013          22326","coll_mode":"Proxy Respondent [proxy]","research_instrument":"List of questionnaires:\n\nCollective Housing Unit (UCH) Survey Form\n- Used to register characteristics of the house\n- Use to register Sanitation installations\n- All registered house as at previous round are uploaded behind the PDA or tablet.\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- All registered households as at previous rounds are uploaded behind the PDA or tablet.\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- All member status observations as at previous rounds are uploaded behind the PDA or tablet.\n\nPresences registration form (PDR)\n- Used to uniquely identify the presence of each individual in the household and to identify the new individual in the household - Mainly to ensure members with multiple household memberships are appropriately captured\n- All presences observations as at previous rounds are uploaded behind the PDA or tablet.\n\nVisitor registration form (VDR) \n- Used register the characteristics of the new individual  in the household\n- Used to capt the internal migration\n- Use matching form to facilitate pairing migration\n\nOut Migration notification form (MGN)\n- Used to record change in the status 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- All member pregnancy without  pregnancy outcome  as at previous rounds are uploaded behind the PDA or tablet.\n\nDeath notification form (DTN)\n- Records all deaths that have recently occurred\n- Includes information about time, place, circumstances and possible cause of death\n\nUpdated Basic information Form (UBIF)\n- Use to change the individual basic information\n\nHealth questionnaire (adults, women, child, elder)\n- Family planning\n- Chronic illnesses\n- Violence and accident\n- Mental health\n- Nutrition, alcohol, tobacco \n- Access to health services\n- Anthropometric measures\n- Physical limitations\n- Self-rated health\n- Food security\n\nVariability of climate and water accessibility\n- accessibility to water\n- child health outcomes\n- gender outcomes\n- data on rainfall, temperatures, water quality","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 1 or 2 week training course prior to appointment as data collectors.","act_min":"Fieldworkers operated in teams of between 3 and 5 each supervised by a Fieldwork supervisor. Supervisors conduct supervised visits and quality control visits and review fieldworkers data collection.","cleaning_operations":"The data collection system is composed by two databases:\n-  A temporary database, which contains data collected and transferred each day during the round.\n-  A reference database, which contains all data of Ouagadougou Health and Demographic Surveillance System, in which is transferred the data of the temporary database to the end of each round. The temporary database is emptied at the end of the round for a new round. \n\nThe data processing takes place in two ways:\n\n1) When collecting data with PDAs or tablets and theirs transfers by Wi-Fi, data consistency and plausibility are controlled by verification rules in the mobile application and in the database. In addition to these verifications, the data from the temporary database undergo validation. This validation is performed each week and produces a validation report for the data collection team. After the validation, if the error is due to an error in the data collection, the field worker equipped with his PDA or tablet go back to the field to revisit and correct this error. At the end of this correction, the field worker makes again the transfer of data through the wireless access points on the server. If the error is due to data inconsistencies that might not be directly related to an error in data collection, the case is remanded to the scientific team of the main database that could resolve the inconsistency directly in the database or could with supervisors perform a thorough investigation in order to correct the error.\n\n2) At the end of the round, the data from the temporary database are automatically transferred into the reference database by a transfer program. After the success of this transfer, further validation is performed on the data in the database to ensure data consistency and plausibility. This still produces a validation report for the data collection team. And the same process of error correction is taken.","method_notes":"At the end of all data processing, Macro files are generated by the IT team for statisticians, who do some consistency checks. If inconsistencies are identified, they are given to the manager of the main database for correction. For the corrections, the field back is often necessary to correct certain inconsistencies.\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\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","sampling_deviation":"None","weight":"Not applicable"},"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\n2008       \t100%\t\n2009       \t100%\t\n2010       \t100%\t\n2011       \t98%\t\n2012       \t100%\n2013       \t 95%","data_appraisal":"CentreId \t     MetricTable\t                               QMetric           Illegal       Legal             Total           Metric             RunDate\nBF041\tMicroDataCleaned\tStarts\t\t                                       151624\t\t\t2017-05-16 13:36\t\nBF041\tMicroDataCleaned\tTransitions\t0\t                       314778\t314778\t0\t2017-05-16 13:36\t\nBF041\tMicroDataCleaned\tEnds\t\t                                       151624\t\t\t2017-05-16 13:36\t\nBF041\tMicroDataCleaned\tSexValues\t\t                       314778\t\t\t2017-05-16 13:36\t\nBF041\tMicroDataCleaned\tDoBValues\t\t                       314778\t\t\t2017-05-16 13:36","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\/34","original_archive":"Ouagadougou (BF041)"},"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":"http:\/\/indepth-ishare.org"}],"cit_req":"Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:\n\n\"Ouagadougou HDSS INDEPTH Core Dataset 2009-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http:\/\/www.indepth-network.org>. doi:10.7796\/INDEPTH.BF041.CMD2014.v3\"","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":"BF041.CMD2014.v3","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":"contin","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":"394154"}],"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":"854","max":"854"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"ISO 3166-1 numeric code of the country where 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 CCNNS, Where CCNNS is the INDEPTH Member site code, constructed as follows:\n- CC the ISO 3166-1 alpha-2 code of the country where the site is situated\n- NN is a sequential number uniquely identifying an INDEPTH member centre within the country. Starting with 01 to 99, for a maximum of 99 centres per country\n-S is a sequential character uniquely identifying the geographical surveillance site. Starting with 1 to 9, thereafter A to Z, for a maximum of 35 sites per centre.","var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"IndividualId","file_id":"F1","var_dcml":"0","var_intrvl":"contin","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":"128904"}],"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 the same as the identifier used by a contributing centre to be 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":"32","var_width":"1","var_rec_seg_no":"1","labl":"EventCount","var_val_range":[{"units":"REAL","min":"1","max":"7"}],"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":"33","var_end_pos":"33","var_width":"1","var_rec_seg_no":"1","labl":"EventNr","var_val_range":[{"units":"REAL","min":"1","max":"7"}],"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 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