{"type":"survey","doc_desc":{"title":"Vadu HDSS INDEPTH Core Dataset 2009-2015 (Release 2017)","idno":"DDI_IND_2009-2015_INDEPTH-VHDSS_v01_M","producers":[{"name":"iSHARE2 Technical Team","abbreviation":"iS2TT","affiliation":"INDEPTH Network","role":"Documentation of the study"},{"name":"Tathagata Bhattacharjee","abbreviation":"","affiliation":"INDEPTH Network - IN021","role":"DDI author"}],"prod_date":"2017-06-30","version_statement":{"version":"- v01 (June 2017)\nThe DDI was produced by INDEPTH Network. It was downloaded on October 18, 2017 from http:\/\/www.indepth-ishare.org\/index.php\/catalog\/115\/ 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 CMD2015.V1: : Data documentatioin version of dataset CMD2015.v1 for public distribution"}},"study_desc":{"title_statement":{"idno":"IND_2009-2015_INDEPTH-VHDSS_v01_M","title":"Vadu HDSS INDEPTH Core Dataset 2009 - 2015 (Release 2017)","sub_title":"Release 2014","alt_title":"INDEPTH-VHDSS 2009-15"},"authoring_entity":[{"name":"Dr. Sanjay Juvekar (Founding Co-Investigator and presently Investigator: 2002 to date)","affiliation":"Vadu HDSS, KEMHRC (IN021)"},{"name":"Dr. Siddhivinayak Hirve (Founding Investigator: from 2002-2009)","affiliation":"Vadu HDSS, KEMHRC (IN021)"}],"oth_id":[{"name":"Dr Sanjay Juvekar","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Site Leader"},{"name":"Dr. Siddhi Vinayak Hirve","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Conceptualized formation and establishment of Vadu HDSS.  Also offered seed money from his Fellowship received from  Bill and Milinda Gates Institution of Population and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, USA"},{"name":"Dr Laila Garda","affiliation":"KEMHRC Pune","email":"","role":"Advise and Support"},{"name":"Dr. V S Padbidri","affiliation":"KEMHRC, Pune","email":"","role":"Advise and Support"},{"name":"Tathagata Bhattacharjee","affiliation":"INDEPTH  Network and Vadu HDSS, KEMHRC Pune","email":"","role":"Software development and Senior Data Manager  wef 2012"},{"name":"Sandeep Bhujbal","affiliation":"INDEPTH  Network and Vadu HDSS, KEMHRC Pune","email":"","role":"IT Support and Data Manager wef 2013"},{"name":"Bharat Chaudhary","affiliation":"Vadu HDSS","email":"","role":"Field Coordination, Vadu HDSS"},{"name":"Nidhi Patharia","affiliation":"INDEPTH  Network and Vadu HDSS, KEMHRC Pune","email":"","role":"Vadu HDSS website management and Data Manager  wef 2012 - 2015"},{"name":"Neeraj Kashyap","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Data management software development (from 2003 to 2012)"},{"name":"Suhas Bhalerao","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"IT Hardware and Networking Support (wef 2016)"},{"name":"Anant Shinde","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"IT Hardware and Networking Support (Upto 2015)"},{"name":"Pallavi Lele","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Advise"},{"name":"Dr. Sudipto Roy","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Advise"},{"name":"Rajlaxmi Rangan","affiliation":"KEMHRC, Pune","email":"","role":"Administration and Finance"},{"name":"Ramesh Pardeshi","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Site Administration"},{"name":"Pandurang Jadhav","affiliation":"Vadu HDSS","email":"","role":"Human Resource support, Vadu HDSS"},{"name":"Hanif Shaikh","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":""},{"name":"Dr. Girish Dayma","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":""},{"name":"Dr. Ankita Srivastava","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":""},{"name":"Rutuja Patil","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":""},{"name":"Veena Muralidharan","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":""},{"name":"Sagar Patil","affiliation":"","email":"","role":"Electronic data collection supervision (2012-2013)"},{"name":"Padma Sambhudas (Khuha)","affiliation":"I2IT, Pune","email":"","role":"Data management software development (from 2003 to 2012)"},{"name":"Somnath Sambhudas","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Data Processing (Upto 2012)"},{"name":"Trupti Varpe","affiliation":"Vadu HDSS, KEMHRC Pune","email":"","role":"Data management software development (from 2003 to 2012)"}],"production_statement":{"producers":[{"name":"The International Network for the Demographic Evaluation of Populations and Their Health, Accra Ghana","affiliation":"","role":"Offered technical support through in establishemnt of Vadu HDSS and its full membership to Vadu HDSS."},{"name":"Bharat Chaudhary","affiliation":"VADU HDSS, KEMHRC Pune (IN021)","role":"Manager, Vadu HDSS"},{"name":"Field Research Assistants\/ Field Research Assistants\/ Field Research Assistants \/ Supervisors","affiliation":"VADU HDSS, KEMHRC Pune (IN021)","role":"Data Collection"}],"funding_agencies":[{"name":"Self Funded","abbreviation":"","role":""}],"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":"Data collection for Vadu HDSS started in November 2002. As of 31 December 2016, researchers completed 27 rounds. This is a longitudinal dataset containing rounds 12 to 25 of demographic surveillance data surveys covering the period from 1 Jan. 2009 to 31 December 2015. Two rounds of data collection took place annually during this period."},"version_statement":{"version":"CMD2015.v1: Edited dataset for public distribution","version_date":"2017-05-31","version_notes":"CMD2015.v1"},"holdings":[{"text":"","location":"","callno":"","uri":"10.7796\/INDEPTH.IN021.CMD2015.v1"}],"study_info":{"keywords":[{"keyword":"Fertility","uri":"","vocab":""},{"keyword":"Mortality","uri":"","vocab":""},{"keyword":"Migration","uri":"","vocab":""},{"keyword":"Population","vocab":"","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":"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"}],"abstract":"Vadu Rural Health Program, KEM Hospital Research Centre Pune has a rich tradition in health care and development being in the forefront of needs-based, issue-driven research over almost 35 years. During the decades of 1980 and 1990 the research at Vadu focused on mother and child with epidemiological and social science research exploring low birth weight, child survival, maternal mortality, safe abortion and domestic violence. The research portfolio has ever since expanded to include adult health and aging, non-communicable and communicable diseases and to clinical trials in recent years. It started with establishment of Health and Demographic Surveillance System at Vadu (HDSS Vadu) in August, 2002 that seeks to establish a quasi-experimental design setting to allow evaluation of impact of health interventions as well as monitor secular trends in diseases, risk factors and health behavior of humans. \n\nThe term \"demographic surveillance\" means to keep close track of the population dynamics. Vadu HDSS deals with keeping track of health issues and demographic changes in Vadu rural health program (VRHP) area. It is one of the most promising projects of national relevance that aims at establishing a quasi-experimental intervention research setting with the following objectives:\n1) To create a longitudinal data base for efficient service delivery, future research, and linking all past micro-studies in Vadu area \n2) Monitoring trends in public health problems \n3) Keeping track of population dynamics \n4) Evaluating intervention services\n\nThis dataset contains the events of all individuals ever resident during the study period (1 Jan. 2009 to 31 Dec. 2015).","time_periods":[{"start":"2009-01-01","end":"2011-12-31","cycle":"6 Months"}],"coll_dates":[{"start":"2009-01-01","end":"2015-12-31","cycle":"Release Coverage"},{"start":"2004-01-01","end":"2004-06-30","cycle":"Round 2"},{"start":"2004-07-01","end":"2004-12-31","cycle":"Round 3"},{"start":"2005-01-01","end":"2005-06-30","cycle":"Round 4"},{"start":"2005-07-01","end":"2005-12-31","cycle":"Round 5"},{"start":"2006-01-01","end":"2006-06-30","cycle":"Round 6"},{"start":"2006-07-01","end":"2006-12-31","cycle":"Round 7"},{"start":"2007-01-01","end":"2007-06-30","cycle":"Round 8"},{"start":"2007-07-01","end":"2007-12-31","cycle":"Round 9"},{"start":"2008-01-01","end":"2008-06-30","cycle":"Round 10"},{"start":"2008-07-01","end":"2008-12-31","cycle":"Round 11"},{"start":"2009-01-01","end":"2009-06-30","cycle":"Round 12"},{"start":"2009-07-01","end":"2009-12-31","cycle":"Round 13"},{"start":"2010-01-01","end":"2010-06-30","cycle":"Round 14"},{"start":"2010-07-01","end":"2010-12-31","cycle":"Round 15"},{"start":"2011-01-01","end":"2011-06-30","cycle":"Round 16"},{"start":"2011-07-01","end":"2011-12-31","cycle":"Round 17"}],"nation":[{"name":"India","abbreviation":"IND"}],"geog_coverage":"Vadu HDSS falls in two administrative blocks: (1) Shirur and (2) Haweli of Pune district in Maharashtra in western India. It covers an area of approximately 232 square kilometers.","analysis_unit":"Individual","universe":"Vadu HDSS covers as many as 50,000 households having 140,000 population spread across 22 villages.","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"},"method":{"data_collection":{"data_collectors":[{"name":"Bharat Chaudhary","abbreviation":"","affiliation":"Vadu HDSS, KEMHRC (IN021)"},{"name":"Vadu HDSS Field Research Assistants","abbreviation":"","affiliation":"Vadu HDSS, KEMHRC (IN021)"},{"name":"Vadu HDSS Field Research Supervisors","abbreviation":"","affiliation":"Vadu HDSS, KEMHRC (IN021)"}],"frequency":"Two rounds per year","sampling_procedure":"Vadu area including 22 villages in two administrative blocks is the study area. This area was selected as this is primarily coverage area of Vadu Rural Health Program which is in function since more than four decade. Every individual household is included in HDSS. There is no sampling strategy employed as 100% population coverage in the area is expected.","coll_mode":"Proxy Respondent [proxy]","research_instrument":"Language of communication is in Marath or Hindi. The form labels are multilingual - in English and Marathi, but the data entered through the forms are in English only. \n\nThe following forms were used:\n- Field Worker Checklist Form - The checklist provides a guideline to ensure that all the households are covered during the round and the events occurred in each household are captured.\n- Enumeration Form: To capture the population details at the start of the HDSS  or any addition of villages afterwards. \n- Pregnancy Form: To capture pregnancy details of women in the age group 15 to 49. \n- Birth Form: To capture the details of the birth events.   \n- Inmigration Form: To capture inward population movement from outside the HDSS area and also for movement within the HDSS area. \n- Outmigration Form: To capture outward population movement from inside the HDSS area and also for movement within the HDSS area. \n- Death Form: To capture death events.","coll_situation":"1) Training of Fieldworkers:\n\nTraining is planned and executed at the centre ie at Vadu HDSS every six months before the data collection round begins. Five days training session is conducted and every training session is evaluated by both the trainees and trainers. Trainers complete daily evaluation by asking questions in order to identify problems that trainees had experienced during that particular day\u2019s training. Areas that needed re- training are revisited the following day. At the end of the training moc interviews are conducted by the trainees.\n\nSurvey:\n\nThe data collection approach revolves around the use of a team of Field Research Assistants and Field Research Supervisors. The team is assigned a fixed number of EAs to enumerate. The team works together in each sampled EA and moves to the next one, once the targeted EA had been completed. The advantage of this method is that the supervisor is in daily in contact with the team, which improves the quality of the data collection during fieldwork.\n\nSupervisors go to the FRA who have completed the interview and immediately check the questionnaire for errors, consistency and completeness. Where errors are found, the FRA is sent back to the household to correct the information that had been recorded previously. If the supervisors are satisfied, they sign off the questionnaire and store it in a safe place. Supervisors do the same for all the members of their team until the EA had been completed. The team then moves to another selected EA.\n\nThe interview is conducted face - to -face which takes approximately 15 - 30 minutes each and this entire process takes around 5 months for every round.\n\n2) Team Size: 20 - 40\n\n3) Language: Marathi & Hindi","act_min":"Field Research Assistants (FRA) collect data from the field on hard copies. There is one Field Research Supervisor (FRS) for every 5 to 6 FRA. Two Field Coordinators supervise over FRS.  Besides the fiedl staffs Vadu HDSS has supervisors in each of the departments including Data Quality Assurance and Data Managerment team.  Entire HDSS is managed by a Project Manager under the leadership of the Center Leader.","cleaning_operations":"Entered data undergo a data cleaning process. During the cleaning process all error data are either corrected in consultaiton with the data QC team or the respective forms are sent back to the field for re collection of correct data.  Data editors have the access to the raw dataset for making necessary editing after corrected data are bought from the field.\n\nFor all individuals whose enumeration (ENU), Inmigration (IMG) or Birth (BTH) have occurred before the left censoring  date (2009-01-01) and have not outmigrated (OMG) or not died (DTH) before the left censoring date (2009-01-01) are included in the dataset as Enumeration (ENU) with EventDate as the left censored date (2009-01-01). But the actual date of observation of the event (ENU, BTH, IMG) is retained in the dataset as observation date for these left censored ENU events. The individual is dropped from the dataset if their end event (OMG or DTH) is prior to the left censoring date (2009-01-01)","method_notes":"1. Preparation of list of households was automated using HDSS software built using PHP and MySQL\n2. All the forms are manually checked to ensure all census forms were completed.\n3. Data entry was done manually using HDSS software built using PHP and MySQL. There were 5 Data Entry Operators.\n4. Automated field validation was used on all the forms along with pre manual checking.\n5. MySQL Database was used.\n6. The ETL process is performed using Pentaho Data Integration Community Edition (PDI CE) - Kettle. All necessary validation checks, quality checks and transformations are designed and implemented using PDI and inconsistencies identified are eliminated from the data set and thus the core micro data set is produced.\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","weight":"Not applicable"},"analysis_info":{"response_rate":"On an average the response rate is 99.99% in all rounds over the years.","data_appraisal":"Data is cleaned to an acceptable level against the standard data rules using Pentaho Data Integration Comminity Edition (PDI CE) tool. After the cleaning process, quality metrics were as follows:\n\nCentreId\tMetricTable\tQMetric\t   Illegal\tLegal\tTotal\tMetric\tRunDate\t\nIN021\tMicroDataCleaned\tStarts\t 1\t301112\t301113\t0.\t2017-05-31 20:06\t\nIN021\tMicroDataCleaned\tTransitions 0\t667010\t667010\t0.\t2017-05-31 20:07\t\nIN021\tMicroDataCleaned\tEnds\t\t301113\t\t\t2017-05-31 20:07\t\nIN021\tMicroDataCleaned\tSexValues 29\t666981\t667010\t0.\t2017-05-31 20:07\t\nIN021\tMicroDataCleaned\tDoBValues 575\t666435\t667010\t0.\t2017-05-31 20:07\t\n\nNote: Except lower under five mortality in 2012 and lower adult mortality among females in 2013, all other estimates are fairly within expected range. Data underwent additional review in terms of electronic data capture, data cleaning and management to look for reasons for lower under five mortality rates in 2013 and lower female adult mortality in 2013. The additional review returned marginally higher rates and this supplements the validity of collected data. Further field related review of 2012 and 2013 data are underway and any revisions to published data\/figures will be shared at a later stage.","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\/33","original_archive":"Vadu (IN021)"},"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\"Vadu HDSS INDEPTH Core Dataset 2009-2015 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org<http:\/\/www.indepth-network.org>.  doi:10.7796\/INDEPTH.IN021.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":"IN021.CMD2015.v1","description":"This file contains INDEPTH Core microdataset. This file was generated using ETL through Pentaho Kettle.","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":"319766"}],"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":"356","max":"356"}],"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":"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":"167625"}],"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. 1 for Male and 2 for 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":"44","var_width":"23","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":"45","var_end_pos":"45","var_width":"1","var_rec_seg_no":"1","labl":"EventCount","var_val_range":[{"units":"REAL","min":"2","max":"8"}],"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":"46","var_end_pos":"46","var_width":"1","var_rec_seg_no":"1","labl":"EventNr","var_val_range":[{"units":"REAL","min":"1","max":"8"}],"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":"47","var_end_pos":"49","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":"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":"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":"50","var_end_pos":"72","var_width":"23","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":"73","var_end_pos":"95","var_width":"23","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","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":"contin","var_start_pos":"96","var_end_pos":"100","var_width":"5","var_rec_seg_no":"1","labl":"LocationId","var_val_range":[{"units":"REAL","min":"1","max":"60789"}],"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":"contin","var_start_pos":"101","var_end_pos":"106","var_width":"6","var_rec_seg_no":"1","labl":"MotherId","var_val_range":[{"units":"REAL","min":"51","max":"164853"}],"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":"contin","var_start_pos":"107","var_end_pos":"110","var_width":"4","var_rec_seg_no":"1","labl":"DeliveryId","var_val_range":[{"units":"REAL","min":"1","max":"8581"}],"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":[]}