{"type":"survey","study_desc":{"title_statement":{"idno":"TZA_1999-2014_INDEPTH-RHDSS_v01_M","title":"Rufiji HDSS INDEPTH Core Dataset 1999 - 2014 (Release 2017)","alt_title":"INDEPTH-RHDSS 1999-2014"},"authoring_entity":[{"name":"Dr. Eveline Gaubbel","affiliation":"Thematic group leader of M&E Ifakara Health Institute"},{"name":"Mr. Sigilbert Mrema","affiliation":"Unit leader of Rufiji Health and Demographic Surveillance System"}],"oth_id":[{"name":"Fieldworkers","affiliation":"Ifakara Health Institute","email":"","role":""},{"name":"Data Clerks","affiliation":"Ifakara Health Institute","email":"","role":""},{"name":"Rufiji HDSS Villagers","affiliation":"Ifakara Health Institute","email":"","role":""}],"production_statement":{"producers":[{"name":"Mr. Imani Irema","affiliation":"Ifakara Health Institute","role":"Data Officer"},{"name":"Prof. Eliuther Mwageni","affiliation":"Ifakara Health Institute","role":"Technical assistance in questionnaire design"},{"name":"Prof. Don de Savigny","affiliation":"SwissTPH","role":"Technical assistance in questionnaire design"},{"name":"Dr. Honorati Masanja","affiliation":"Ifakara Health Institute","role":"Technical assistance in questionnaire design"},{"name":"Prof. Eliuther Mwageni","affiliation":"Ifakara Health Institute","role":"Technical assistance in sampling methodology\/selection"},{"name":"Prof. Don de Savigny","affiliation":"SwissTPH","role":"Technical assistance in sampling methodology\/selection"},{"name":"Dr. Honorati Masanja","affiliation":"Ifakara Health Institute","role":"Technical assistance in sampling methodology\/selection"},{"name":"Mr. Sigilbert Mrema","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection"},{"name":"Mr. Kahema Irema","affiliation":"Ifakara Health Institute","role":"Technical assistance in data collection"},{"name":"Mr. Francis Levira","affiliation":"Ifakara Health Institute","role":"Technical assistance in data processing"},{"name":"Mr. Amaniel Mono","affiliation":"Ifakara Health Institute","role":"Technical assistance in data processing"},{"name":"Mr. Liberati Kahumba","affiliation":"Ifakara Health Institute","role":"Technical assistance in data processing"},{"name":"Dr. Honorati Masanja","affiliation":"Ifakara Health Institute","role":"Technical assistance in data analysis"},{"name":"Mr. Francis Levira","affiliation":"Ifakara Health Institute","role":"Technical assistance in data analysis"},{"name":"Mr. Sigilbert Mrema","affiliation":"Ifakara Health Institute","role":"Technical assistance in data analysis"}],"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 Welfare of Tanzania","abbreviation":"MoHSW","role":""},{"name":"International Development Research Center","abbreviation":"IRDC","role":""},{"name":"UK Department for International Development","abbreviation":"DFID","role":""},{"name":"Rockefeller Foundation","abbreviation":"RF","role":""},{"name":"Bill and Melinda Gates Foundation","abbreviation":"BMGF","role":""},{"name":"Doris Duke Charitable Foundation","abbreviation":"DDCF","role":""},{"name":"Comic Relief, UK","abbreviation":" Comic Relief, UK","role":""},{"name":"European Union FP7","abbreviation":"UE-FP7","role":""},{"name":"United State Urgency for International Development","abbreviation":"USAID","role":""},{"name":"US Centres for Disease Control","abbreviation":"USAID","role":""},{"name":"Global Fund for HIV, TB and Malaria","abbreviation":"GFATM","role":""},{"name":"RBM-MTIMBA","abbreviation":"RBM-MTIMBA","role":""},{"name":"President\u2019s Malaria Initiative","abbreviation":"PMI","role":""},{"name":"INDEPTH Network","abbreviation":"INDEPTH Network","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":"- Rounds 0 is the baseline\n- Three rounds per year from 1998 to 2012\n- Two round per year from 2013 onwards\n- Completed 44 rounds till December 2013\n- Completed 48 rounds till 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":"The Rufiji Health and Demographic Surveillance System (HDSS) was established in October 1998 to evaluate the impact on burden of disease of health system reforms based on locally generated data, prioritization, resource allocation and planning for essential health interventions.  The Rufiji HDSS collects detailed information on health and survival and provides a framework for population based health research of relevance to local and national health priorities. In December 2011 the population under surveillance was about 97,000 people, residing in 19,000 households. Monitoring of households and members within households is undertaken in regular four months cycles known as \u201crounds\u201d. Self-reported information is collected on demographic, household, socio-economic and geographic characteristics. Verbal Autopsy is conducted using standardized questionnaires, to determine probable causes of death.\n\nBasic Rufiji HDSS data and data requisition forms are available at www.data.ihi.or.tz. Access to online data requires permission from the Data Centralization Team (dc@ihi.or.tz <mailto:dc@ihi.or.tz>). Requests for data are subject to ethics committee approval and will only be accepted from bona fide researchers with specified research objectives or collaborations.","coll_dates":[{"start":"1999-01-01","end":"2014-12-31","cycle":"Release Coverage"}],"nation":[{"name":"Tanzania","abbreviation":"TZA"}],"geog_coverage":"The Demographic Surveillance Area (DSA) is located in Rufiji District, Coastal Region Tanzania about 178 km south of Dar es Salaam city and extends between south latitude -7.47\u00b0 and -8.03\u00b0S and east longitude 38.62\u00b0 and 39.17\u00b0E. The Rufiji HDSS covers 1,813 km2 that comprising 38 villages of Rufiji district. The district is largely rural though population is clustered around Utete (outside the DSA, District headquarters), Ikwiriri, Kibiti and Bungu townships (Figure 2). The population density of Rufiji HDSS is about 53 people per kilometer square and the average population per village is about 2,552 inhabitants.\nAs a district observatory, information which is collected by Rufiji HDSS can be used by nearby districts with similar ecological characteristics for planning purposes.","analysis_unit":"Individual","universe":"All residents in HDSS area","data_kind":"Event history data","notes":"Homestead: In this subject the following information are collected: Latitude, longitude, altitude, village name, village code, name of hamlet and location identifier (Location ID). Household: Rufiji HDSS define household as a as a group of individuals sharing, or who eat from, the same cooking pot. In this subject the following in are collected: Household name and household head.\n\nOn Individuals, information like names (Give name, Middle name and Family name), sex, birthdate, marital status, relation to household head, occupation, education level and individual ID. \n\nTo residency, the following information such as residency status (resident, died, out-migrated), marital status to members with  =13 years of age, pregnancy status for women aged 13-49 years, location ID and Individual ID are collected. \n\nPregnancy outcome: In this theme, the following information are collected; live birth, number of babies, still birth, abortion, date of birth, place of birth, names (3), sex of child, mother's personal identity number (link), father's personal identity number.\n\nDeath: In this theme information collect are, date of death, place of death, individual ID, Age at Death and field worker collected. \n\nVerbal Autopsy is 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 (3), 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.","study_scope":"Homestead: In this subject the following information are collected: Latitude, longitude, altitude, village name, village code, name of hamlet and location identifier (Location ID). Household: Rufiji HDSS define household as a as a group of individuals sharing, or who eat from, the same cooking pot. In this subject the following in are collected: Household name and household head.\n\nOn Individuals, information like names (Give name, Middle name and Family name), sex, birthdate, marital status, relation to household head, occupation, education level and individual ID. \n\nTo residency, the following information such as residency status (resident, died, out-migrated), marital status to members with  =13 years of age, pregnancy status for women aged 13-49 years, location ID and Individual ID are collected. \n\nPregnancy outcome: In this theme, the following information are collected; live birth, number of babies, still birth, abortion, date of birth, place of birth, names (3), sex of child, mother's personal identity number (link), father's personal identity number.\n\nDeath: In this theme information collect are, date of death, place of death, individual ID, Age at Death and field worker collected. \n\nVerbal Autopsy is 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 (3), 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."},"method":{"data_collection":{"data_collectors":[{"name":"Liberate Kahumba","abbreviation":"","affiliation":"Data Manager"},{"name":"Mary Godwin Shuma","abbreviation":"","affiliation":"Assistant Field Manager "}],"frequency":"Three times per year from 1998 to 2012.\nTwo time per year from 2013 onwards.","sampling_procedure":"No sampling.","sampling_deviation":"Not applicable","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.","coll_situation":"Paper based data collection and fed into HRS2 system upto 2012.\nFrom 2013 migrated to tablet based data colection on OpenHDS platform.","weight":"Not applicable","cleaning_operations":"Data processing: Data from the field are collected for entry at the data center. Data is entered into the server through a network of workstations. Until 2014, the HDSS used custom designed software called the Household Registration System 2 (HRS 2) developed in Visual FoxPro 6.\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"},"analysis_info":{"response_rate":"Response rate: In Rufiji HDSS information on refusals is not collected. However, active community engagement programmes which includes Key Informants (KIs) days, where the HDSS team convenes meetings with KIs for presentations on recent findings to feed back to community and distribution of news letters to households are in place. Community sensitization events are held at the time of introducing new studies. Those initiatives have cemented good relationship with the community and eventually maintained high participation.","sampling_error_estimates":"Not applicable","data_appraisal":"INDEPTH-data quality metrics: To ensure data quality Rufiji HDSS portions this process into two sections. In the field section, quality of collected information is monitored through a validation process where 3-5% of households are sampled at random for re-interview by a field supervisor who validates the previous collected data. In the data management section, the software used in data management is able to identify some inconsistencies. 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\t\tIllegal\tLegal\tTotal\tMetric\tRunDate\nTZ012\tMicroDataCleaned\tStarts\t\t                205383\t\t\t2017-05-19 10:31\t\nTZ012\tMicroDataCleaned\tTransitions\t0\t514426\t514426\t0\t2017-05-19 10:31\t\nTZ012\tMicroDataCleaned\tEnds\t\t                205383\t\t\t2017-05-19 10:32\t\nTZ012\tMicroDataCleaned\tSexValues\t4\t514422\t514426\t0\t2017-05-19 10:32\t\nTZ012\tMicroDataCleaned\tDoBValues\t2\t514424\t514426\t0\t2017-05-19 10:32"}},"data_access":{"dataset_availability":{"original_archive":"Ifakara Health Institute : Rufiji (TZ012)"},"dataset_use":{"conf_dec":[{"txt":"This data is anonymized and no confidetiality agreement in addition to the data sharing policy is required.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"iSHARE2","affiliation":"INDEPTH","email":"help-desk@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 format from:\n\n\"Rufiji HDSS INDEPTH Core Dataset 1999-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http:\/\/www.indepth-network.org>. doi:10.7796\/INDEPTH.TZ012.CMD2014.v1\"","conditions":"1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH\u2019s written agreement.\n2. 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.\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.\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.\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.\n6. An electronic copy of all publications based on the requested data will be sent to INDEPTH.\n7. The original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data\u2019s 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":"TZ012.CMD2014.v1","description":"This file contains event history micro dataset of Rufiji 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":"Rec Number","var_val_range":[{"units":"REAL","min":"1","max":"290314"}],"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 in which the surevellance 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:\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":"Individual ID","var_val_range":[{"units":"REAL","min":"1","max":"127889"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A number uniquley idenfying all the records beloning to a specific individual in the data file. This number is not the same as the idetifier used by 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 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":"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":"32","var_width":"1","var_rec_seg_no":"1","labl":"Event Count","var_val_range":[{"units":"REAL","min":"2","max":"6"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The total number of events  associated with the individual in this dataset","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":"Event Numberr","var_val_range":[{"units":"REAL","min":"1","max":"6"}],"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 occurence","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V9","name":"EventCode","file_id":"F1","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"36","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 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 entrance","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":"37","var_end_pos":"46","var_width":"10","var_rec_seg_no":"1","labl":"Event Date","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":"47","var_end_pos":"56","var_width":"10","var_rec_seg_no":"1","labl":"Observation Date","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"Date on which the event was observed (recorded), also known as surveillance visit date:\nFormat 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":"57","var_end_pos":"61","var_width":"5","var_rec_seg_no":"1","labl":"Location ID","var_val_range":[{"units":"REAL","min":"1","max":"28800"}],"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. For data anonymization purposes, this identifier should not be the\nsame as the identifier used internally by the contributing centre, but the contributing centre should retain a mapping of this identifier to their internal location identifier","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":"62","var_end_pos":"67","var_width":"6","var_rec_seg_no":"1","labl":"Mother ID","var_val_range":[{"units":"REAL","min":"3","max":"128077"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The IndividualId of the mother. Only provided for BTH event","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":"68","var_end_pos":"72","var_width":"5","var_rec_seg_no":"1","labl":"Delivery ID","var_val_range":[{"units":"REAL","min":"1","max":"40405"}],"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":[]}