{"type":"survey","doc_desc":{"title":"Nairobi HDSS INDEPTH Core Dataset 2003-2014 (Release 2017)","idno":"DDI_KEN_2003-2014_INDEPTH-NUHDSS_v01_M","producers":[{"name":"iSHARE2 Technical Team","abbreviation":"isTT","affiliation":"INDEPTH Network","role":"Technical Support"},{"name":"Data & Measurement Unit of KE031","abbreviation":"KE031","affiliation":"Nairobi Urban HDSS, APHRC","role":"Documentation of the study"},{"name":"Nelson Mbaya","abbreviation":"KE031","affiliation":"Nairobi Urban HDSS, APHRC","role":"DDI author"}],"prod_date":"2017-05-17","version_statement":{"version":"- v01 (May 2017)\nThe DDI was produced by INDEPTH Network. It was downloaded on October 13, 2017 from http:\/\/www.indepth-ishare.org\/index.php\/catalog\/127\/ 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":"v1: 17 May 2017 - Data quality metrics added and a review of whole documentation conducted for public distribution"}},"study_desc":{"title_statement":{"idno":"KEN_2003-2014_INDEPTH-NUHDSS_v01_M","title":"Nairobi Urban HDSS INDEPTH Core Dataset 2003 - 2014 (Release 2017)","alt_title":"INDEPTH-NUHDSS 2003-14"},"authoring_entity":[{"name":"Dr.Alex Ezeh","affiliation":"Site Leader, KE031"},{"name":"Dr.Donatien Beguy","affiliation":"Site Representative, KE031"}],"oth_id":[{"name":"Residents of Korogocho and Viwandani Slums","affiliation":"APHRC","email":"","role":"Study Subjects"},{"name":"Nelson Mbaya","affiliation":"APHRC","email":"","role":"Database Programmer"},{"name":"Residents of Korogocho and Viwandani Slums","affiliation":"APHRC","email":"","role":"Study Subjects"}],"production_statement":{"producers":[{"name":"Clement Oduor","affiliation":"Field Coordinator","role":"Data Collection"},{"name":"Kanyiva Muindi","affiliation":"Research Officer","role":"Questionnaire Design"},{"name":"Nelson Mbaya","affiliation":"Database Programmer","role":"Data Processing"},{"name":"Marylene Wamukoya","affiliation":"Data Manager","role":"Data Cleaning and Analysis"},{"name":"Patricia Elung'ata","affiliation":"Data Manager","role":"Data Cleaning and Analysis"}],"funding_agencies":[{"name":"Bill and Melinda Gates Foundation, USA","abbreviation":"","role":"Current Funder"},{"name":"William and Flora Hewlett Foundation, USA","abbreviation":"","role":"Current Funder"},{"name":"Swedish International Development Cooperation Agency","abbreviation":"","role":"Current Funder"},{"name":"Wellcome Trust, UK","abbreviation":"","role":"Previous Funder"},{"name":"Rockefeller Foundation, USA","abbreviation":"","role":"Previous Funder"}],"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:\/\/indepth-ishare.org\/howtouse"}]},"series_statement":{"series_name":"Demographic Surveillance","series_info":"This data is collected from Rounds 1 to 38 of the demographic surveillance rounds. The 1st round of data collection started on 1st August 2002, and as of 31st December 2015,  38 rounds of data collection had been completed. Data is collected 3 times year, once after every 4-months."},"version_statement":{"version":"CMD2014.v1: Cleaned and anonymized dataset of the core microdata 2002-2014 for public distribution","version_date":"2017-05-17","version_notes":"17 May 2017 -  Raw dataset first extracted and cleaning completed."},"study_info":{"keywords":[{"keyword":"Migration","uri":"","vocab":""},{"keyword":"Fertility","uri":"","vocab":""},{"keyword":"Mortality","uri":"","vocab":""},{"keyword":"Population","uri":"","vocab":""}],"topics":[{"topic":"Demography [N01.224]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Age Distribution [N01.224.033]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Censuses [N01.224.175]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Family Characteristics [N01.224.361]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Health Status Disparities [N06.850.505.400.425.675]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Population Dynamics [N01.224.625]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Residential Mobility [N01.224.791.700]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Residence Characteristics [N01.224.791]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Sex Ratio [N01.224.803.815]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Vital Statistics [N01.224.935]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Urban Health [N01.400.800]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Urban Population [N01.600.900]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Educational Status [N01.824.196]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Employment [N01.824.245]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Occupations [N01.824.547]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Poverty [N01.824.600]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Social Conditions [N01.824.827]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Policy [N03.623]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Health Services Research [N05.425]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Epidemiologic Factors [N05.715.350]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"}],"abstract":"The places we live affect our health status and the choices and opportunities we have (or do not have) to lead fulfilling lives. Over the past ten years, the African Population & Health Research Centre (APHRC) has led pioneering work in highlighting some of the major health and livelihood challenges associated with rapid urbanization in sub-Saharan Africa (SSA). In 2002, the Centre established the first longitudinal platform in urban Africa in the city of Nairobi in Kenya. The platform known as the Nairobi Urban Health and Demographic Surveillance System collects data on two informal settlements - Korogocho and Viwandani - in Nairobi City every four months on issues ranging from household dynamics to fertility and mortality, migration and livelihood as well as on causes of death, using a verbal autopsy technique. The dataset provided here contains key demographic and health indicators extracted from the longitudinal database. Researchers interested in accessing the micro-data can look at our data access policy and contact us.","time_periods":[{"start":"2002-08-01","end":"2011-12-31","cycle":"Release coverage"}],"coll_dates":[{"start":"2003-01-01","end":"2014-12-31","cycle":"Release Coverage"},{"start":"2002-10-16","end":"2002-12-23","cycle":"Round 1"},{"start":"2003-01-21","end":"2003-04-06","cycle":"Round 2"},{"start":"2003-05-04","end":"2003-08-31","cycle":"Round 3"},{"start":"2003-09-17","end":"2003-12-23","cycle":"Round 4"},{"start":"2004-01-23","end":"2004-05-06","cycle":"Round 5"},{"start":"2004-05-28","end":"2004-09-20","cycle":"Round 6"},{"start":"2004-09-25","end":"2004-12-23","cycle":"Round 7"},{"start":"2005-01-23","end":"2005-06-06","cycle":"Round 8"},{"start":"2005-06-14","end":"2005-09-26","cycle":"Round 9"},{"start":"2005-09-27","end":"2005-12-24","cycle":"Round 10"},{"start":"2006-01-13","end":"2006-04-30","cycle":"Round 11"},{"start":"2006-05-01","end":"2006-08-31","cycle":"Round 12"},{"start":"2006-09-01","end":"2007-01-30","cycle":"Round 13"},{"start":"2007-02-04","end":"2007-05-27","cycle":"Round 14"},{"start":"2007-05-29","end":"2007-09-15","cycle":"Round 15"},{"start":"2007-09-25","end":"2007-12-31","cycle":"Round 16"},{"start":"2008-01-01","end":"2008-08-23","cycle":"Round 17"},{"start":"2008-09-01","end":"2008-12-31","cycle":"Round 18"},{"start":"2009-01-01","end":"2009-05-31","cycle":"Round 19"},{"start":"2009-06-23","end":"2009-09-20","cycle":"Round 20"},{"start":"2009-10","end":"2009-12-16","cycle":"Round 21"},{"start":"2010-01-20","end":"2010-04-20","cycle":"Round 22"}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"geog_coverage":"The Demographic Surveillance Area (combining Viwandani and Korogocho slum settlements) covers a land area of about 0.97 km2, with the two informal settlements located about 7 km from each other. Korogocho is located 12 km from the Nairobi city center; in Kasarani division (now Kasarani district), while Viwandani is about 7 km from Nairobi city center in Makadara division (now Madaraka district). The DSA covers about seven villages each in Korogocho and Viwandani.","analysis_unit":"Individual","universe":"Between 1st January and  31st December,2015 the Nairobi HDSS covered 86,304 individualis living in 30,219 households distributed across two informal settlements(Korogocho and Viwandani) were observed. All persons who sleep in the household prior to the day of the survey are included in the survey, while non-resident household members are excluded from the survey.\n\nThe present universe started out through an initial census carried out on 1st August,2002 of the population living in the two Informal settlements (Korogocho and Viwandani). Regular visits have since then been made (3 times a year) to update information on births, deaths and migration that have occurred in the households observed at the initial census. New members join the population through a birth to a registered member, or an in-migration, while existing members leave through a death or out-migration.  The DSS adopts the concept of an open cohort that allows new members to join and regular members to leave and return to the system.","data_kind":"Event history data","notes":"- Enumeration, Birth, Migration and Death","study_scope":"- Enumeration, Birth, Migration and Death"},"method":{"data_collection":{"data_collectors":[{"name":"Data and Measurement Unit","abbreviation":"D&M","affiliation":"African Population and Health Research Center"}],"frequency":"Three rounds in a year","sampling_procedure":"This dataset is related to the whole demographic surveillance area population. The number of respondents has varied over the last 13 years (2002-2015), with variations being observed at both household level and at Individual level. As at 31st December 2015, 66,848 were being observed under the Nairobi HDSS  living in 25,812 households distributed across two informal settlements(Korogocho and Viwandani). The variable IndividualId uniquely identifies every respondent observed while the variable LocationId uniquely identifies the room in which the individual was living at any point in time. To identify individuals who were living together at any one point in time (a household) the data can be split on location and observation dates.","coll_mode":"Proxy Respondent [proxy]","research_instrument":"Questionnaires are printed and administered in Swahili, the country's national language.\n\nThe questionnaires for the Nairobi HDSS were structured questionnaires based on the INDEPTH Model Questionnaire and were translated into Swahili with some modifications and additions.After an initial review the questionnaires were translated back into English by an independent translator with no prior knowledge of the survey. The back translation from the Swahili version was independently reviewed and compared to the English original. Differences in translation were reviewed and resolved in collaboration with the original translators. The English and Swahili questionnaires were both piloted as part of the survey pretest.\n \nAt baseline, a household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. In later rounds questionnaires to track the migration of the population observed at baseline, and additonal questionnaires to capture demographic and health events happening to the population have been introduced.","coll_situation":"Interviews are conducted in Swahili (the country's national language), with translation into the local dialects in specific situations where the respondent is unable to understand Swahili. A detailed 4-week training of enumerators was conducted at baseline. Currently, 3-5 days refresher trainings are conducted at the start of each new round of data collection\n\nThe field team constitutes 32 staff: 25  interviewers,4 team leaders, 2 supervisors, and 1 field coordinator. On average a complete household interview takes between 30 minutes and 45 minutes to complete. Interviews took place everyday throughout the field work period, with teams being permitted to take only one day off per week.  \n\nPrior to the baseline detailed community sensitization was undertaken, in latter rounds however community liaison has constituted, feedback barazas, and intervention activities targeted to address community health-related problems identified during the data collection. Intervention activities are carried out through piggy-back studies with targeted interventions, for example a maternal and child health study had a component of interventions to address mother and child health-complications, or through bi-annual health camps at which free medical treatment is provided for conditions identified as prevalent in the community during data collection.","act_min":"Interviewing is conducted by teams of interviewers. Each interviewing team comprised 3-4 interviewers, a field editor and a site supervisors. The role of the supervisor is to coordinate field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accomodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office. The field editor is responsible for reviewing each questionnaire at the end of the day, checking for missed questionnaires, skip errors, fields incorrectly completed, and checking for inconsistencies in the data. The field editor also observed interviews and conducted review sessions with interviewers. Responsibilities of the supervisors and field editors are described in the Instructions for Supervisors and Field Editors, together with the different field controls that were in place to control the quality of the fieldwork.","cleaning_operations":"Data editing took place at a number of stages throughout the processing, including:\na) Office editing and coding\nb) During data entry\nc) Structure checking and completeness\nd) Secondary editing\ne) Structural checking of STATA data files\n\nWhere changes were made by the program, a cold deck imputation is preferred; where incorrect values were imputed using existing data from another dataset.  If cold deck imputation was found to be insufficient, hot deck imputation was used,  In this case, a missing value was imputed from a randomly selected similar record in the same dataset.  \n\nSome corrections are made automatically by the program(80%) and the rest by visual control of the questionnaires (20%).\n\n1. 100% forms filled in by FRAs are rechecked for completeness, ensured that all the necessary event forms are filled in.\n2. Spot checks are done on field over data collection by FRAs for reliability of data.\n3. FRS instructs revisits wherever required.\n4. Forms are checked on sample basis\n5. Checks if all the necessary event forms are filled in.\n6. Forms with inconsistencies identified at the time of entry are sent back to the field.\n7. Creating and managing data entry checks for picking up inconsistencies\n8. Monitoring field work: balancing work target and quality.\n9. Dealing with data inconsistencies at data level and giving feedbacks to field staff.\n10. Conducting training and refresher training wherever required.\n11. Data cleaning","method_notes":"Data entry was performed manually at APHRC's headquarters on desktop computers and using an in-house built software with a Visual Basic.Net front-end and  Microsoft SQL Server back-end. Double data entry was carried out on 10% of the questionnaires.\n\nData were processed in clusters, with each cluster being processed as a complete unit through each stage of data processing.  Each cluster went through the following steps:\n1. Questionnaire Reception\n2. Office editing and coding\n3. Data entry\n4. Structure and completeness checking\n5. Verification entry\n6. Comparison of verification data\n7. Backup of raw data\n8. Secondary editing\n9. Edited data back up\n\nAfter all clusters are processed, all data was concatenated together and then the following steps are completed for all data files:\n10. Export to STATA 13 in 2 files (migration and employment history, migration & employment calendar)\n11. Recoding of variables needed for analysis\n12. Structural checking of STATA 13 files\n14. Data quality tabulations\n15. Production of analysis tabulations\n\n The file was generated using ETL through Pentaho Kettle.\n \n The following processing checks are carried out during the ETL process:\n\n- Range Checks: This ensures that every variable contains only data within a predefined domain of valid values;\n- Skip Checks: This will verify that skip patterns have been followed appropriately during data collection and data entry;\n- Consistency Checks: These checks ensure that values from one question are consistent with values from another question. This is especially important where two or more variables contain similar or interlinked information;  \n- Typographical Checks: These checks are necessary to identify and correct typographical and spelling errors in variables;\n- Checks Against Reference Data: These checks ensure that newly added data is consistent with existing data about the statistical unit under survey. This is especially important for longitudinal surveys and embedded studies. This check could be done by pre-printing information on questionnaires during pre-survey activities.\n\nSome corrections are made automatically by the program (80%), others by visual control of the questionnaires (20%).\n\nOther Checks:\n\n1. If the first event is legal. Like the first event must be enumeration, birth or inmigration.\n2. If the last event is legal. Like the last event must be end of observation, death or outmigration.\n3. If the transition events are legal.\n\nThe list of legal transitions:\n\n    Birth followed by death\n    Birth followed by exit\n    Birth followed by end of observation\n    Birth followed by outmigration\n\n    Death followed by none\n\n    Entry followed by death\n    Entry followed by exit\n    Entry followed by end of observation\n    Entry followed by outmigration\n    Enumeration followed by death\n    Enumeration followed by exit\n    Enumeration followed by outmigration\n\n    Exit followed by entry\n\n    Inmigration followed by Death\n    Inmigration followed by exit\n    Inmigration followed by end of observation\n    Inmigration followed by outmigration\n\n    End of observation followed by none\n\n    Outmigration followed by none\n    Outmigration followed by enumeration\n    Outmigration followed by inmigration\n\n    The list of illegal transitions:\n\n    Birth followed by none\n    Birth followed by birth\n    Birth followed by entry\n    Birth followed by enumeration\n    Birth followed by   inmigration\n\n    Death followed by birth\n    Death followed by death\n    Death followed by entry\n    Death followed by enumeration\n    Death followed by exit\n    Death followed by inmigration\n    Death followed by outmigration\n    Death followed by end of observation\n\n    Entry followed by none\n    Entry followed by birth\n    Entry followed by entry\n    Entry followed by enumeration\n    Entry followed by inmigration\n\n    Enumeration followed by none\n    Enumeration followed by birth\n    Enumeration followed by entry\n    Enumeration followed by enumeration\n    Enumeration followed by inmigration\n\n    Exit followed by birth\n    Exit followed by death\n    Exit followed by exit\n    Exit followed by end of observation\n    Exit followed by outmigration\n\n    Inmigration followed by none\n    Inmigration followed by birth\n    Inmigration followed by entry\n    Inmigration followed by enumeration\n    Inmigration followed by inmigration\n\n    End of observation followed by birth\n    End of observation followed by death\n    End of observation followed by entry\n    End of observation followed by enumeration\n    End of observation followed by exit\n    End of observation followed by inmigration\n    End of observation followed by end of observation\n    End of observation followed by outmigration\n\n    Outmigration followed by birth\n    Outmigration followed by death\n    Outmigration followed by exit\n    Outmigration followed by end of observation\n    Outmigration followed by outmigration\n\n    List of edited events:\n\n    Exit followed by none\n    Exit followed by enumeration\n    Exit followed by inmigration\n\n    Outmigration followed by entry","sampling_deviation":"None","weight":"Not applicable"},"analysis_info":{"response_rate":"Over the years the response rate at household level has varied between 95% and 97% with response rate at Individual Level varying between 92% and 95%. Challenges to acheiving a 100% response rate have included:\n- high population mobility within the study area\n- high population attrition\n- respondent fatigue\n- security in some areas","sampling_error_estimates":"Not applicable for surveillance data","data_appraisal":"CentreId\tMetricTable\tQMetric\tIllegal\tLegal\tTotal\tMetric\tRunDate\t\nKE031\tMicroDataCleaned\tStarts\t\t219285\t\t\t2017-05-16 18:25\t\nKE031\tMicroDataCleaned\tTransitions\t825036\t825036\t0\t2017-05-16 18:25\t\nKE031\tMicroDataCleaned\tEnds\t\t219285\t\t\t2017-05-16 18:25\t\nKE031\tMicroDataCleaned\tSexValues\t825036\t\t\t2017-05-16 18:25\t\nKE031\tMicroDataCleaned\tDoBValues 42\t824994\t825036\t0\t2017-05-16 18:25"}},"data_access":{"dataset_availability":{"access_place":"INDEPTH Data Repository","access_place_uri":"http:\/\/www.indepth-ishare.org\/index.php\/catalog\/39","original_archive":"Nairobi (KE031)"},"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 Network","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\"Nairobi HDSS INDEPTH Core Dataset 2003-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org<http:\/\/www.indepth-network.org>. \ndoi:10.7796\/INDEPTH.KE031.CMD2014.v1\"","conditions":"This data is made available for licensed access under the following conditions\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. \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 (APHRC), INDEPTH Network, 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":"KE031.CMD2014.v1","description":"This file contains the INDEPTH Core Microdataset of Nairobi Urban HDSS. The 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":"637510"}],"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":"404","max":"404"}],"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":"177721"}],"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.","var_catgry":[{"value":"0","labl":"Unknown","stats":null,"type":null},{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"DoB","file_id":"F1","var_intrvl":"discrete","var_start_pos":"22","var_end_pos":"31","var_width":"10","var_rec_seg_no":"1","labl":"DoB","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"The date of birth of the individual. 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