{"type":"survey","doc_desc":{"title":"Mbita HDSS core Dataset 2009-2011","idno":"DDI_KEN_2009-2011_INDEPTH-MB_v02_M","producers":[{"name":"Mbita HDSS","abbreviation":"Mbita, HDSS","affiliation":"NUITM,KEMRI","role":"Documentation of the study"},{"name":"iSHARE2 Technical Team","abbreviation":"isTT","affiliation":"INDEPTH Network","role":"Technical support"},{"name":"INDEPTH Network","abbreviation":"int.indepth","affiliation":"INDEPTH","role":"agency"}],"prod_date":"2014-04-01","version_statement":{"version":"Edited version, the original DDI (DDI.INDEPTH.KE041.CMD2011.V6) was downloaded from INDEPTH Data Repository (http:\/\/www.indepth-ishare.org\/index.php\/catalog\/central) on October 2014. The following DDI elements have been modified:  DDI Document ID, survey ID and title of the study.","version_notes":"DDI.INDEPTH.KE041.CMD_2011.V1 2014-3-4 First document\nDDI.INDEPTH.KE041.CMD-2011.V2 2014-3-6 Document temp updated to V5\nDDI.INDEPTH.KE041.CMD-2011.V32014-03-07 updated MD5#INDEPTH.KE041.CMD-2011.V3\nDDI.INDEPTH.KE041.CMD-2011.V32014-03-07 updated MD5#INDEPTH.KE041.CMD-2011.V4\nDDI.INDEPTH.KE041.CMD-2011.V32014-03-14 updated MD5#INDEPTH.KE041.CMD-2011.V5\nDDI.INDEPTH.KE041.CMD-2011.V32014-03-17 updated MD5#INDEPTH.KE041.CMD-2011.V6\nDDI.INDEPTH.KE041.CMD2011.V32014-03-26 updated MD5#INDEPTH.KE041.CMD2011.V6"}},"study_desc":{"title_statement":{"idno":"KEN_2009-2011_INDEPTH-MB_v01_M","title":"Mbita Health and Demographic Surveillance System core Dataset 2009-2011","alt_title":"HDSS 2009-11"},"authoring_entity":[{"name":"Nagasaki University Insititute of Tropical Medicine","affiliation":"Collaborative partnership with the Kenya Medical Research Institute"}],"oth_id":[{"name":"Morris Ndemwa","affiliation":"NUITM","email":"","role":"Data Manager"},{"name":"Mbita Community","affiliation":"","email":"","role":"Partnership and cooperation in data collection"},{"name":"County Leadership","affiliation":"Devolved governmennt system (Homabay county)","email":"","role":"Partnership and cooperation in data collection"}],"production_statement":{"producers":[{"name":"Prof. M. Shimada","affiliation":"NUITM","role":"Team - Leader"},{"name":"Prof. M. Karama","affiliation":"NUITM-KEMRI","role":"Deputy Team  Leader"},{"name":"Prof. S. Kaneko","affiliation":"NUITM","role":"Epidemiological Advisor"},{"name":"Ms. S. Wanyua","affiliation":"NUITM","role":"Field manager"},{"name":"Mr. M. Ndemwa","affiliation":"NUITM","role":"Data Manager"}],"funding_agencies":[{"name":"Government of Japan","abbreviation":"","role":"Financial Support"},{"name":"Nagasaki University Institute of Tropical Medicine","abbreviation":"NUITM","role":"Project Leadership and Technical Support"},{"name":"Kenya Medical Research Institute","abbreviation":"KEMRI","role":"Partnership affiliation and Technical Support"}]},"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":"Rounds 1 to 25"},"version_statement":{"version":"Version 01: First version for internal use\nVersion 03: Edited dataset for public distribution","version_date":"2014-03-07","version_notes":"Developed during iSHARE 2 workshop"},"holdings":[{"text":"","location":"","callno":"","uri":"doi.org\/10.7796\/INDEPTH.KE041.CMD2011.v3"}],"study_info":{"topics":[{"topic":"Demography [N01.224]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Rural Population [N01.600.725]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Health [N01.400]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Socioeconomic Factors [N01.824]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Health Facilities [N02.278]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Environment and Public Health [N06]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"}],"abstract":"The Mbita Health and Demographic Surveillance System (Mbita HDSS), located on the shores of Lake Victoria in Kenya, was established in 2006. The main objective of the HDSS is to provide a platform for population-based research on relationships between diseases and socio-economic and environmental factors, and for the evaluation of disease control interventions. \nThe Mbita HDSS had a population of approximately 54 014 inhabitants from 11 576 households in June 2013. Regular data are collected using personal digital assistants (PDAs) every 3 months, which includes births, pregnancies, migration events and deaths. Coordinates are taken using geographical positioning system (GPS) units to map all dwelling units during data collection. Cause of death is inferred from verbal autopsy questionnaires. In addition, other health-related data such as vaccination status, socio-economic status, water sources, acute illness and bed net distribution are collected. \n\nThe HDSS has also provided a platform for conducting various other research activities such as entomology studies including malaria research on neglected tropical diseases, and environmental health projects which have benefited the organization as well as the HDSS community residents. Data collected are shared with the community members, health officials, local administration and other relevant organizations. Opportunities for collaboration and data sharing with the wider research community are available and those interested should contact shimadam@nagasaki-u.ac.jp <mailto:shimadam@nagasaki-u.ac.jp> or mhmdkarama@yahoo.com <mailto:mhmdkarama@yahoo.com>.","time_periods":[{"start":"2009-01-01","end":"2011-12-31","cycle":"25"}],"coll_dates":[{"start":"2008-10-14","end":"2008-12-17","cycle":"1"},{"start":"2009-01-08","end":"2009-02-16","cycle":"2"},{"start":"2009-02-17","end":"2009-03-08","cycle":"3"},{"start":"2009-03-11","end":"2009-04-06","cycle":"4"},{"start":"2009-04-09","end":"2009-05-07","cycle":"5"},{"start":"2009-05-10","end":"2009-06-01","cycle":"6"},{"start":"2009-06-05","end":"2009-07-01","cycle":"7"},{"start":"2009-07-02","end":"2009-07-28","cycle":"8"},{"start":"2009-07-30","end":"2009-08-19","cycle":"9"},{"start":"2009-08-21","end":"2009-09-16","cycle":"10"},{"start":"2009-09-18","end":"2009-10-20","cycle":"11"},{"start":"2009-10-23","end":"2009-11-30","cycle":"12"},{"start":"2009-12-02","end":"2009-12-30","cycle":"13"},{"start":"2010-01-08","end":"2010-03-03","cycle":"14"},{"start":"2010-03-05","end":"2010-04-16","cycle":"15"},{"start":"2010-04-23","end":"2010-06-07","cycle":"16"},{"start":"2010-06-10","end":"2010-07-14","cycle":"17"},{"start":"2010-07-20","end":"2010-09-20","cycle":"18"},{"start":"2010-09-22","end":"2010-11-19","cycle":"19"},{"start":"2010-11-23","end":"2010-12-23","cycle":"20"},{"start":"2011-01-12","end":"2011-03-01","cycle":"21"},{"start":"2011-03-11","end":"2011-05-05","cycle":"22"},{"start":"2011-06-02","end":"2011-07-20","cycle":"23"},{"start":"2011-09-28","end":"2011-10-30","cycle":"24"},{"start":"2011-11-01","end":"2011-12-24","cycle":"25"}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"geog_coverage":"Mbita HDSS covers part of the western Kenya near the shores of the Lake Victoria including Rusinga Island(North Part) and mainland labeled as Gembe in Gembe location(South Part). Area coverage is about 168KM square.\n\nThe area is accessible by a ferry through the Lake victoria to the mainland of Lwanda Kotieno in Kisumu area of Kisumu County. There is also a tarmack road connection that goes through the mainland from the Homabay County to Mbita HDSS area and it is linked to the man-made bridge that links the the mainland to Rusinga Island.","analysis_unit":"Individual","universe":"All individuals in the HDSS survey area.","data_kind":"Event history data","notes":"The Scope of demographic surveillance includes demographic characteristics, households, living conditions, social security, access to facilities and services, hygiene, education levels, employment status, migration, fertility, mortality, etc.\n- Household: Household characteristics, household listing, occupation, education and maternal mortality.\n- Individual: Individual listing, education, occupation, marital status and movements.\n- Women: Pregnancy monitoring","study_scope":"The Scope of demographic surveillance includes demographic characteristics, households, living conditions, social security, access to facilities and services, hygiene, education levels, employment status, migration, fertility, mortality, etc.\n- Household: Household characteristics, household listing, occupation, education and maternal mortality.\n- Individual: Individual listing, education, occupation, marital status and movements.\n- Women: Pregnancy monitoring"},"method":{"data_collection":{"data_collectors":[{"name":"Mbita HDSS","abbreviation":"Mbita, HDSS","affiliation":"NUITM,KEMRI"}],"frequency":"At-least 4 rounds per year","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire is divided into several parts. The 1st part consists of the baseline census dealing mainly with demographic information, such as compounds, household and members. The second part is made up of questions on migrations, health, diseases, causes of death, and other health and hygiene related information. \n\nThese processes are repeated to accumulate demographic and health related information for several years.\n\nData collection in the field uses electronic devices pda. These devises support field interviewers' data collection activities and execute data consistency checks with regard to questionnaire items on site.\nAssumed variables of questionnaire are:\n\u00f8 information for individual identification\n\u00f8 demographic information\n\u00f8 household information\n\u00f8 migration information\n\u00f8 pregnancy information\n\u00f8 health related information\n\u00f8 vital event information\n\nCollected data is accumulated in the field stations and sent to data management centre in the central office in nairobi, and are subjected to detail-verification check by data managers. If inconsistent data or unverified data are detected, those data and error codes (or explanation) are sent back to the field.\n\nVerbal Autopsy Questionaires design was made with some modifications but adapted from the recommended WHO questionnaire.","coll_situation":"Training of enumerators (known as filed interviewres in Mibita HDSS site) is routinely done before the start of any new round.\nThis is usually done to familiarize with the system updates on the programme or any additional changes that may seem necessary and necessitate smooth running of the data collection criteria or inform the enumarotors of the anychanges that they may have suggested for the smooth running of data collection process.\n- Usually interview may take about 30mins to about 45mins depending on whether there were any additional questionaires added to their routine data collection method.\n- Community mobilization and sensitization was first done before data collection at the baseline.\n- In addition, more involvement was done to inform community leaders especially the chiefs, leaders and community heads (including policy makers) of the objectives of the HDSS programe.\n- The data collection team has usually been conducted by field interviewers (FI) 17 in number guided by immediate supervisors that are named as field interviewer manager (FIM) who are 3 in number.\n- Supervisory team comprising of a data manager at the field station and an asdministrator would oversee the whole process and they may seek intervention by community leaders in areas where the community may not seem intrested or refusing to accept enumaration.\n- Interview is normally done in local language (Luo) or in Swahili where there find in-migrants.","act_min":"Enumerators (field interviewers) were organized in teams per working areas and regions which they are assigned to all interviwers. All enumarators report to a supervisor(field interviewer manager) who is assigned about 6 enumarators and he\/she is able to manage them by using an assigned motorbike to move from one working area to the other. The field interviewer manager (supervisor) roles include the following: coordinate data collection, supplies of equipment and gadgets, coordinating with local authorities, quality assuarance report including checking empty houses\/structures, conducting verbal autopsy after the mourning period has passed and following up on skipped houses which may have been skipped by enumarotors if for some reasons owners were absent or only minors were available during the visit.\n\nThe data manager at the field station was responsible for the transfer of collected data to our remote server for cleaning before synchronization of the data and backup. The data manager would go through the quality check reports generated automatically by the system and assignes duties to field interviewer manager based on the results for updates and corrections.\n\nUpper management from the (Nairobi) managing the core data set visited the field once every month and after every round had been completed.","cleaning_operations":"Data management is conducted on PDA, Station PC and main server database. \nFor quality control, several error check programmes were installed, for the following purposes: range checks, entry missing checks, inter-variable checks, consistency check between currently entered data and past data, etc. \n\nData was left censored to 1 Jan 2009 to account for the start-up phase of the surveillance.","method_notes":"PDA's, the verification programmes were executed on developed programmes in the project.\nStation PCs, the verification programmes were executed by Microsoft Access.\nFor the main server DB, the programmes were run on SQL.\n\nAfter consistency check between previous corrected data, which are summarized and confirmed data about families, households and their members, the latest correct upto date data were transferred to station PC from the main server DB. The data was overwritten on the PDA data and used in the next round interview. Although data on station PC and PDA are overwritten on the previous data, data on the main server DB are not overwritten, but appended and stored for future use and verification."},"analysis_info":{"response_rate":"Response rate is about 95%.","data_appraisal":"CenterID = KE041\nMetricTable = RawMicroData\nQMetric = Starts\nIllegal = 1115\nLegal = 80897\nTotal = 82012\nMetric = 1.\nRunDate = 2014-03-05 12:40\n\nCenterID = KE041\nMetricTable = RawMicroData\nQMetric = Transitions\nIllegal = 2603\nLegal = 165594\nTotal = 168197\nMetric = 1.\nRunDate = 2014-03-05 12:40\n\nCenterID = KE041\nMetricTable = RawMicroData\nQMetric = Ends\nIllegal = 1310\nLegal = 80702\nTotal = 82012\nMetric = 1.\nRunDate = 2014-03-05 12:40\n\nCenterID = KE041\nMetricTable = RawMicroData\nQMetric = SexValues\nIllegal = 0\nLegal = 168197\nTotal = \nMetric = \nRunDate = 2014-03-05 12:41\n\nCenterID = KE041\nMetricTable = RawMicroData\nQMetric = DoBValues\nIllegal = 218\nLegal = 167979\nTotal = 168197\nMetric = 0.\nRunDate = 2014-03-05 12:41\n\nCenterID = KE041\nMetricTable = MicroDataCleaned\nQMetric = Starts\nIllegal = 0.\nLegal = 79446\nTotal = 0.\nMetric = 0.\nRunDate = 2014-03-05 12:51\n\nCenterID = KE041\nMetricTable = MicroDataCleaned\nQMetric = Transitions\nIllegal = 207\nLegal = 162478\nTotal = 162685\nMetric = 0.\nRunDate = 2014-03-05 12:51\n\nCenterID = KE041\nMetricTable = MicroDataCleaned\nQMetric = Ends\nIllegal = 0.\nLegal = 79446\nTotal = 0.\nMetric = 0.\nRunDate = 2014-03-05 12:51\n\nCenterID = KE041\nMetricTable = MicroDataCleaned\nQMetric = SexValues\nIllegal = 0.\nLegal = 162685\nTotal = 0.\nMetric = 0.\nRunDate = 2014-03-05 12:51\n\nCenterID = KE041\nMetricTable = MicroDataCleaned\nQMetric = DoBValues\nIllegal = 218\nLegal = 162467\nTotal = 162685\nMetric = 0.\nRunDate = 2014-03-05 12:51\n\nCenterID = KE041\nMetricTable = MicroDataAnonymised\nQMetric = Duplicated events\nIllegal = 6748\nLegal = 155937\nTotal = 162685\nMetric = 4.\nRunDate = 2014-03-05 13:02\n\nCenterID = KE041\nMetricTable = KE041_CMD_2011_v1_S01\nQMetric = Temporal Integrity Violations\nIllegal = 0.\nLegal = 172247\nTotal = 172247\nMetric = 0.\nRunDate = 2014-03-05 13:02\n\nCenterID = KE041\nMetricTable = KE041_CMD_2011_v1_S02\nQMetric = Close OMG-IMG pairs\nIllegal =9\nLegal = 12\nTotal = 21\nMetric = 42\nRunDate = 2014-03-05 13:03\n\nCenterID = KE041\nMetricTable = KE041_CMD_2011_v1_S02\nQMetric = EXT-ENT pairs with big gap\nIllegal =0\nLegal = 9\nTotal = 9\nMetric = 0.\nRunDate = 2014-03-05 13:06"}},"data_access":{"dataset_availability":{"access_place":"INDEPTH Data Repository","access_place_uri":"http:\/\/www.indepth-ishare.org\/index.php\/catalog\/47","original_archive":"INDEPTH Data Repository\nhttp:\/\/www.indepth-ishare.org\/index.php\/catalog\/47\nCost: None"},"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","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\"The Mbita HDSS  Core Micro Data Set 2009-2011. March 2014. Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http:\/\/www.indepth-network.org>. 10.7796\/INDEPTH.KE041.CMD2011.v3 <http:\/\/dx.doi.org\/10.7796\/INDEPTH.KE041.CMD2011.v3>\"","conditions":"1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's 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'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":"KE041.CMD2011","description":null,"case_count":"169211","var_count":"14","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"RecNr","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"6","var_width":"6","var_rec_seg_no":"1","labl":"RecNr","var_val_range":[{"units":null,"min":"1","max":"172247"}],"var_sumstat":[{"value":"169211","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"169211","type":"max"}],"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":null,"min":"404","max":"404"}],"var_sumstat":[{"value":"169211","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"ISO 3166-1 numeric code of the country where the surveillance site is situated","var_catgry":[{"value":"404","labl":null,"stats":"169211","type":"freq"}],"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":"169211","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_catgry":[{"value":"KE041","labl":null,"stats":"169211","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"IndividualId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"15","var_end_pos":"19","var_width":"5","var_rec_seg_no":"1","labl":"IndividualId","var_val_range":[{"units":null,"min":"1","max":"79480"}],"var_sumstat":[{"value":"169211","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"79480","type":"max"}],"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":"20","var_end_pos":"20","var_width":"1","var_rec_seg_no":"1","labl":"Sex","var_val_range":[{"units":null,"min":"0","max":"2"}],"var_sumstat":[{"value":"169211","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sex of the individual\n- 0 - Unknown\n- 1 - Male\n- 2 - Female","var_catgry":[{"value":"0","labl":"Unknown","stats":"0","type":"freq"},{"value":"1","labl":"Male","stats":"78666","type":"freq"},{"value":"2","labl":"Female","stats":"90545","type":"freq"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"DoB","file_id":"F1","var_intrvl":"discrete","var_start_pos":"21","var_end_pos":"30","var_width":"10","var_rec_seg_no":"1","labl":"DoB","var_sumstat":[{"value":"169211","type":"vald"},{"value":"1900-01-01","type":"min"},{"value":"2013-10-30","type":"max"}],"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":"31","var_end_pos":"31","var_width":"1","var_rec_seg_no":"1","labl":"EventCount","var_val_range":[{"units":null,"min":"2","max":"5"}],"var_sumstat":[{"value":"169211","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The total number of events associated with this individual in this data set","var_catgry":[{"value":"2","labl":null,"stats":"93132","type":"freq"},{"value":"3","labl":null,"stats":"61416","type":"freq"},{"value":"4","labl":null,"stats":"14080","type":"freq"},{"value":"5","labl":null,"stats":"565","type":"freq"},{"value":"6","labl":null,"stats":"18","type":"freq"}],"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":"32","var_end_pos":"32","var_width":"1","var_rec_seg_no":"1","labl":"EventNr","var_val_range":[{"units":null,"min":"1","max":"5"}],"var_sumstat":[{"value":"169211","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A number increasing from 1 to EventCount for each event record in order of event occured","var_catgry":[{"value":"1","labl":null,"stats":"70674","type":"freq"},{"value":"2","labl":null,"stats":"70674","type":"freq"},{"value":"3","labl":null,"stats":"24108","type":"freq"},{"value":"4","labl":null,"stats":"3636","type":"freq"},{"value":"5","labl":null,"stats":"116","type":"freq"},{"value":"6","labl":null,"stats":"3","type":"freq"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V9","name":"EventCode","file_id":"F1","var_intrvl":"discrete","var_start_pos":"33","var_end_pos":"35","var_width":"3","var_rec_seg_no":"1","labl":"EventCode","var_sumstat":[{"value":"169211","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A code which identifies the  type of event that has occurred","var_catgry":[{"value":"BTH","labl":"Births","stats":"4046","type":"freq"},{"value":"DLV","labl":"Delivery","stats":"3715","type":"freq"},{"value":"DTH","labl":"Death","stats":"1183","type":"freq"},{"value":"ENT","labl":"Entry","stats":"9","type":"freq"},{"value":"ENU","labl":"Enumeration","stats":"56406","type":"freq"},{"value":"EXT","labl":"Exit","stats":"9","type":"freq"},{"value":"IMG","labl":"Inmigration","stats":"10241","type":"freq"},{"value":"OBE","labl":"Observation enddate","stats":"70674","type":"freq"},{"value":"OBL","labl":"Last Observation","stats":"6567","type":"freq"},{"value":"OBS","labl":"Observation","stats":"0","type":"freq"},{"value":"OMG","labl":"Outmigration","stats":"16361","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V10","name":"EventDate","file_id":"F1","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"45","var_width":"10","var_rec_seg_no":"1","labl":"EventDate","var_sumstat":[{"value":"169211","type":"vald"},{"value":"2009-01-01","type":"min"},{"value":"2012-01-01","type":"max"}],"var_txt":"The date on which the event occured 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":"46","var_end_pos":"55","var_width":"10","var_rec_seg_no":"1","labl":"ObservationDate","var_sumstat":[{"value":"169211","type":"vald"},{"value":"1900-01-01","type":"min"},{"value":"2031-12-10","type":"max"}],"var_txt":"Date on which the event was observed (recorded), also known as surveillance visit date Format 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