{"type":"survey","study_desc":{"title_statement":{"idno":"TZA_1997-2014_INDEPTH-IHDSS_v01_M","title":"Ifakara Rural INDEPTH Core Dataset 1997 - 2014 (Release 2017)","alt_title":"INDEPTH-IHDSS 1997-2014"},"authoring_entity":[{"name":"Eveline Geubbels","affiliation":"Thematic group leader of M&E Ifakara Health Institute"}],"oth_id":[{"name":"Fieldworkers","affiliation":"Ifakara Health Institute","email":"","role":""},{"name":"IT Support staffs","affiliation":"Ifakara Health Institute","email":"","role":""},{"name":"Field supervisors","affiliation":"Ifakara Health Institute","email":"","role":""},{"name":"Data Clerks","affiliation":"Ifakara Health Institute","email":"","role":""},{"name":"Key Informants","affiliation":"Community","email":"","role":""},{"name":"Village Leaders","affiliation":"Community ","email":"","role":""}],"production_statement":{"producers":[{"name":"Mr Imani Irema","affiliation":"Ifakara Health Institute","role":"Data Officer"},{"name":"Dr. Rose Nathan","affiliation":"Ifakara Health Institute","role":"Technical assistance in questionnaire design: "},{"name":"Dr. Honorati Masanja","affiliation":"Ifakara Health Institute","role":"Technical assistance in questionnaire design: "},{"name":"Mr. Oskar Mukasa","affiliation":"Ifakara Health Institute","role":"Technical assistance in questionnaire design: "},{"name":"Dr. Rose Nathan","affiliation":"Ifakara Health Institute","role":"Technical assistance in sampling methodology\/selection:"},{"name":"Dr. Honorati Masanja","affiliation":"Ifakara Health Institute","role":"Technical assistance in sampling methodology\/selection:"},{"name":"Mr. Oskar Mukasa","affiliation":"Ifakara Health Institute","role":"Technical assistance in sampling methodology\/selection:"},{"name":"Mr Amri Shamte","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr Chrisostom Mahutanga","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr Jensen Charles","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr. Advocatus Kakorozya","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr. Tumaini Kilimba","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr. Aurelio DiPasquale","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr. Nicolas Maire","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr Ramadhan Abdul","affiliation":"Ifakara Health Institute","role":"Technical assistance in data processing"},{"name":"Mr Jumanne Kisweka","affiliation":"Ifakara Health Institute","role":"Technical assistance in data processing"},{"name":"Mr Jackson Francis","affiliation":"Ifakara Health Institute","role":"Technical assistance in data processing"},{"name":"Dr Rose Nathan","affiliation":"Ifakara Health Institute","role":"Technical assistance in data analysis"},{"name":"Mr. Francis Levira","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Dr. Honorati Masanja","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Dr. Eveline Geubbels","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr Ramadhan Abdul","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"},{"name":"Mr Amri Shamte","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection and system upgrading"}],"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.","funding_agencies":[{"name":"Ministry of Health and Social Welfar","abbreviation":"MoHSW","role":""},{"name":"Swiss Tropical Institute","abbreviation":"STI","role":""},{"name":"Bill and Melinda Gates Foundation","abbreviation":"BMGF","role":""},{"name":"Global Fund for to Fight HIV\/AIDS, TB and Malaria","abbreviation":"GFATM","role":""},{"name":"Doris Duke Charitable Foundation","abbreviation":"DDCF","role":""},{"name":"Comic Relief, UK","abbreviation":"Comic Relief, UK","role":""},{"name":"Novatus Foundation for Suitable Development","abbreviation":"NFSD","role":""},{"name":"United State Urgency for International Development","abbreviation":"USAID","role":""},{"name":"World Bank","abbreviation":"WB","role":""},{"name":"World Health Organization","abbreviation":"WHO","role":""},{"name":"UK Department for International Development","abbreviation":"DFID","role":""}]},"distribution_statement":{"contact":[{"name":"iSHARE2 Helpdesk","affiliation":"INDEPTH Network","email":"help-data@indepth-network.org","uri":"http:\/\/indepth-ishare.org\/howtouse"}]},"series_statement":{"series_name":"Demographic Surveillance","series_info":"Round 1 to 54 from July 1997 to December 2015"},"version_statement":{"version":"CMD2014.v1: Edited dataset for public distribution","version_date":"2017-05-20"},"study_info":{"keywords":[{"keyword":"Fertility","uri":""},{"keyword":"Mortality","uri":""},{"keyword":"Migration","uri":""}],"topics":[{"topic":"Demography [N01.224]","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":"Mortality [N01.224.935.698]","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"}],"abstract":"Longitudinal data gathered from health surveillance is very essential, when combined with detailed demographic information, can provide invaluable insight into public health needs and importance. Ifakara DSS is one of the oldest site that managed by Ifakara Health Institute in Tanzania. It is located in remote area of the river valley of Kilombero in Morogoro region. The site was set up on 1996 with the main focus on the impact evaluation of malaria intervention on child health and survival. In early 2000s, it extends its initiatives on population monitoring and evaluation of community health intervention programs and researches on adult health and older people of Kilombero and Ulanga districts.  Since its inception the HDSS has been very instrumental in producing population evidence base with the potential to guide policy and action in public health related needs and population changes over time.  \n\nThe Ifakara DSS is continuous demographic surveillance, consisting of initial and repeat censuses of the chosen population after every four months, registering each individual resident and recording their associated information, such as household socioeconomic status, Individual education status, marital status, bed net ownership, pregnancy and pregnancy outcome. Health outcomes and vital events (e.g. births, deaths, in and out migration) in the DSS area are then linked to individual demographic records for precise estimate. This help to understand the dynamism of the population over time in terms of fertility, mortality and migration. It provides data for calculating the denominators of demographic rates. The cause of death for specific age group is also administered through standardized verbal autopsy questionnaire adopted from the In-depth network.\n\nThe objectives of Ifakara DSS\n- To collect accurate information on child health and survival,\n- To provide a framework for population based health research which is relevant to the local health priorities and needs, \n- To evaluate\/test health tools and community well being interventions \n- To monitor some of the NSGRP\/MDG indicators.\n- To document all births, deaths, In and out migration on the DSS area\n- To quantify the impact of health and poverty reduction strategies and intervention\n- To document the trend of cause specific mortality (burden of disease) of Kilombero and Ulanga districts\n\nThe access for Ifakara demographic data is currently abided by the institutional data sharing policy and procedure fall under the data centralization team (dc@ihi.or.tz <mailto:dc@ihi.or.tz>) while the forms for data requisition and extraction are online available at www.ihidata.org <http:\/\/www.ihidata.org>. All requests of data by either online or physical should be subjected to institutional committee for ethical approval and being only accepted by field researchers with regards to specified objectives or the existing collaboration between two parts.","coll_dates":[{"start":"1997-01-01","end":"2014-12-31","cycle":"Release Coverage"}],"nation":[{"name":"Tanzania","abbreviation":"TZA"}],"geog_coverage":"The Ifakara Health and Demographic Surveillance System (HDSS) area is located in southern Tanzania in parts of two districts, Kilombero and Ulanga both in Morogoro region (latitude 8\u00b0 00.'to 8\u00b0 35'S, altitude 35\u00b0 58 to 36\u00b0 48'E). It covers a total of 25 villages in rural area of Ulanga nd Kilombero districts, with a population of about 124,000 people in 28,000 households.","analysis_unit":"Individual","universe":"The Ifakara Rural DSS covered a total of 25 villages in Ulanga and Kilombero districts comprising 127,450 people residing in 22,670 households. In 2007, the Ifakara HDSS extended its area of coverage by including 5 villages of Ifakara town which comprised by 45000 people residing in approximately 12000 households. This is a home of about 25% of the African population with social, economic and demographic importance.","data_kind":"Event history data","notes":"The Ifakara HDSS collects and updates detailed information from the study area of Kilombero and Ulanga districts. Some of these include Homestead information: such as Latitude, longitude, altitude, village name, village code, name of hamlet and location identifier (Location ID). Other related issues are Household Information like household names and household heads.\n\nThe term household is referred by HDSS as a group of individuals who share, or eat from, the same cooking pot. \n\nOn Individuals, information like names (Given name, Middle name and Family name), sex, birth date, marital-status, relation to household head, occupation, education level and individual ID. \n\nWhile on residency, the information of residency status is also captured for instance; resident, died or out-migrated), marital status to members equal to 13 years of age, pregnancy status for women aged 13-49 years, location ID and Individual ID. \n\nPregnancy outcome related information: In this theme information of live birth, number of babies, still birth, abortion, date of birth, place of birth, names, sex of child, mother's personal identity number (link), father's personal identity number are collected. Death: In this theme information collected are date of death, place of death, age at Death and individual ID are collected. \n\nVerbal Autopsy is also done to identify the probable cause of death. \n\nIn-migration: In this theme the following information are collected: Date of in-migration, Individual ID, names, sex, date of birth of migrant, reason for in-migration, relation to household head, origin of migration episode and whether the migrant had a previous residence within the Rufiji HDSS. \n\nOut-migration: Date of out-migration, Individual ID, reason for out-migration and destination of migration episode. Finally, the social economic status information is updated once per year.","study_scope":"The Ifakara HDSS collects and updates detailed information from the study area of Kilombero and Ulanga districts. Some of these include Homestead information: such as Latitude, longitude, altitude, village name, village code, name of hamlet and location identifier (Location ID). Other related issues are Household Information like household names and household heads.\n\nThe term household is referred by HDSS as a group of individuals who share, or eat from, the same cooking pot. \n\nOn Individuals, information like names (Given name, Middle name and Family name), sex, birth date, marital-status, relation to household head, occupation, education level and individual ID. \n\nWhile on residency, the information of residency status is also captured for instance; resident, died or out-migrated), marital status to members equal to 13 years of age, pregnancy status for women aged 13-49 years, location ID and Individual ID. \n\nPregnancy outcome related information: In this theme information of live birth, number of babies, still birth, abortion, date of birth, place of birth, names, sex of child, mother's personal identity number (link), father's personal identity number are collected. Death: In this theme information collected are date of death, place of death, age at Death and individual ID are collected. \n\nVerbal Autopsy is also done to identify the probable cause of death. \n\nIn-migration: In this theme the following information are collected: Date of in-migration, Individual ID, names, sex, date of birth of migrant, reason for in-migration, relation to household head, origin of migration episode and whether the migrant had a previous residence within the Rufiji HDSS. \n\nOut-migration: Date of out-migration, Individual ID, reason for out-migration and destination of migration episode. Finally, the social economic status information is updated once per year."},"method":{"data_collection":{"data_collectors":[{"name":"Omary Kayuga","abbreviation":"","affiliation":""},{"name":"Gloria Shirima","abbreviation":"","affiliation":"Data Clerk"},{"name":"Johnson Ngenga","abbreviation":"","affiliation":"Data Clerk"},{"name":"Constantine Lyambiko","abbreviation":"","affiliation":"Data Clerk"},{"name":"Upendo salamtwa","abbreviation":"","affiliation":"Data Clerk"},{"name":"Rehema Erasto","abbreviation":"","affiliation":"Data Clerk"},{"name":"Novatus Chagodola","abbreviation":"","affiliation":"Data Clerk"},{"name":"Halima Mbulete","abbreviation":"","affiliation":"Data Clerk"},{"name":"Kalimbo Nkuba","abbreviation":"","affiliation":"Data Clerk"},{"name":"Honesta Mzyangizyangi","abbreviation":"","affiliation":"Data Clerk"},{"name":"Dionesia Mponsidawa","abbreviation":"","affiliation":"Data Clerk"},{"name":"Ally Mpangile","abbreviation":"","affiliation":"Data Clerk"},{"name":"Beatrice Njavike","abbreviation":"","affiliation":"Data Clerk"},{"name":"Alhaji Hangahanga","abbreviation":"","affiliation":"Data Clerk"},{"name":"Agnes Mhala","abbreviation":"","affiliation":"Data Clerk"},{"name":"Joseph Mwoja","abbreviation":"","affiliation":"Data Clerk"},{"name":"Expetus Ligoho","abbreviation":"","affiliation":"Data Clerk"},{"name":"Enhadi Mhesi","abbreviation":"","affiliation":"Data Clerk"},{"name":"Fariji Mwamtobe","abbreviation":"","affiliation":"Data Clerk"},{"name":"Serafim Sali","abbreviation":"","affiliation":"Data Clerk"},{"name":"Eligius Mpwagi","abbreviation":"","affiliation":"Data Clerk"}],"frequency":"Three rounds per year from 1996 to 2012\nTwo rounds per year from 2013 onwards","sampling_procedure":"Not Applicable","sampling_deviation":"None","coll_mode":"Proxy Respondent [proxy]","research_instrument":"The questionnaires are designed to capture the core HDSS information which includes the baseline, birth, inmigration, outmigration and death along with the other questionnaires.","weight":"Not Applicable","cleaning_operations":"The 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":"Currently, the information from the field is captured through the use of Open HDS system (electronic devices tablets). The collected data are uploaded daily to the central server through the use of network connectivity from the workstation however; the HDSS used customized designed software called the Household Registration System 2 (HRS 2) which developed in Visual FoxPro 6 since its establishment on 1996."},"analysis_info":{"response_rate":"98% of the residents from the Ifakara DSS area accept to participate on surveillance studies. All refusal are documented and being followed by the field management team to identify its causal or reasons.  To ensure effective community engagement on health researches, the Ifakara HDSS have introduced several programs such the use of Community Advisory Board which comprised by members from the grass root of the community. Their main responsibility is to raise community awareness and sensitization and sending feedback to the community about ongoing research activities form the platform.  Besides that the Ifakara DSS team uses Key Informants (KIs) and hamlet leaders as a community representative to convene various meetings over the field areas and giving out the progressive reports to feedback the community. Also newsletters and fliers are distributed to the community. This tool is reconstructed in a lay language that everyone can understand. Through these programs strong relation are built as a result of improving community participation on health research activities.","data_appraisal":"The qualities of information collected by Ifakara DSS are highly prioritized from the initial point of data collection from the field section up to data management level. For-instance in the field section 90% of field managers' time spent on the field while the quality of information is monitored through validation process where 3-5% of households are randomly sampled for re-interview by a field supervisor who validates the previous collected information. Moreover, sport checks and accompanied visit is done by field management team to evaluate every field interviewer if they comply or adhere with cord of conduct and standard operating procedure (ethics) when they are collecting field information.\n\nFurther more the HDSS data is collected through the use of electronic devices (tablets) to ensure timely access of quality, consistent and accurate data.   Beside that on the data management section, the HRS2 software is used to track some of the inconsistencies form the data base for immediate follow-up. Some of them are edited online and others are printed and reported back to the field for more clarification and correction. Finally the clean data base is archived for report generation.\n\nCentreId\tMetricTable\tQMetric\tIllegal\tLegal\tTotal\tMetric\tRunDate\t\nTZ011\tMicroDataCleaned\tStarts\t\t311047\t\t\t2017-05-18 18:38\t\nTZ011\tMicroDataCleaned\tTransitions 0\t727834\t727834\t0\t2017-05-18 18:39\t\nTZ011\tMicroDataCleaned\tEnds\t\t311047\t\t\t2017-05-18 18:40\t\nTZ011\tMicroDataCleaned\tSexValues 74\t727760\t727834\t0\t2017-05-18 18:40\t\nTZ011\tMicroDataCleaned\tDoBValues\t727834\t\t\t2017-05-18 18:40"}},"data_access":{"dataset_availability":{"original_archive":"Ifakara Health Institute : Ifakara Rural (TZ011)"},"dataset_use":{"conf_dec":[{"txt":"This data is anonymized and no confidetiality agreement is addition to the confidetiality for the use agreement is required","required":"yes","form_no":"","uri":""}],"contact":[{"name":"iSHARE2","affiliation":"INDEPTH","email":"help-desk@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\"Ifakara Rural INDEPTH Core Dataset 1997-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http:\/\/www.indepth-network.org>. doi:10.7796\/INDEPTH.TZ011.CMD2014.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":"TZ011.CMD2014.v1","description":"This file contains event history micro dataset of Ifakara Rural HDSS","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":"Record Numbe","var_val_range":[{"units":"REAL","min":"1","max":"765197"}],"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":"Country ID","var_val_range":[{"units":"REAL","min":"834","max":"834"}],"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":"Centre ID","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:- CC the ISO 3166-1 alpha-2 code of the country where the site is situated- 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-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":"Individual ID","var_val_range":[{"units":"REAL","min":"1","max":"297229"}],"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\n1=Male\n2=Female","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":"Date of Birth","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":"Event Count","var_val_range":[{"units":"REAL","min":"2","max":"12"}],"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":"Event Number","var_val_range":[{"units":"REAL","min":"1","max":"12"}],"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 occurred","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":"Event Code","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A code which identifies 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":"Entry","stats":null,"type":null},{"value":"ENU","labl":"Enumeration","stats":null,"type":null},{"value":"EXT","labl":"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":"Observation 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