{"type":"survey","study_desc":{"title_statement":{"idno":"SEN_1985-2014_INDEPTH-MHDSS_v01_M","title":"Mlomp HDSS INDEPTH Core Dataset 1985 - 2014 (Release 2017)","alt_title":"INDEPTH-MHDSS 1985-2014"},"authoring_entity":[{"name":"Laurence Fleury","affiliation":"Institut de Recherche pour le D\u00e9veloppement"},{"name":"El-Hadji Cir\u00e9 Konko B\u00e2","affiliation":"Institut de Recherche pour le D\u00e9veloppement"},{"name":"Val\u00e9rie Delaunay","affiliation":"Institut de Recherche pour le D\u00e9veloppement"},{"name":"Cheikh Sokhna","affiliation":"Institut de Recherche pour le D\u00e9veloppement"},{"name":"Gilles Pison","affiliation":"Institut National d'Etudes D\u00e9mographique"}],"oth_id":[{"name":"Emilie Ndiaye","affiliation":"Institut de Recherches pour le D\u00e9veloppement","email":"","role":"Referencies Management"}],"production_statement":{"producers":[{"name":"Ousmane Ndiaye","affiliation":"Institut de Recherches pour le D\u00e9veloppement","role":"Data Manager"},{"name":"Pape Niokhor Diouf","affiliation":"Institut de Recherches pour le D\u00e9veloppement","role":"Supervisor"},{"name":"Paul Senghor","affiliation":"Institut de Recherches pour le D\u00e9veloppement","role":"Verbal autopsy interviwer"}],"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":"Institut de Recherches pour le D\u00e9veloppement","abbreviation":"IRD","role":"Current Funder"},{"name":"Institut National d'Etudes D\u00e9mographique","abbreviation":"INED","role":"Current Funder"}]},"distribution_statement":{"contact":[{"name":"iSHARE2 Helpdesk","affiliation":"INDEPTH","email":"help-data@indepth-network.org","uri":"http:\/\/indepth-ishare.org\/howtouse"}]},"series_statement":{"series_name":"Demographic Surveillance","series_info":"The dataset contains rounds 1 to 30 of demographic surveillance data covering the period from March 1, 1984 to December 2015. In 1987 and 2008 there was no survey."},"version_statement":{"version":"CMD2014.v1: 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":"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":"Emigration and Immigration [N01.224.625.350]","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":"Sex Distribution [N01.224.803]","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":"Life Expectancy [N01.224.935.464]","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"},{"topic":"Rural Population [N01.600.725]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Parity [N06.850.490.812.600]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Survival Analysis [N06.850.520.830.998]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"}],"abstract":"In 1985 the population and health observatory was established at Mlomp, in the region of Ziguinchor, in southern Senegal (see map). The objective was to complement the two rural population observatories then existing in the country, Bandafassi, in the south-east, and Niakhar, in the centre-west, with a third observatory in a region - the south-west of the country (Casamance) - whose history, ethnic composition and economic situation were quite different from those of the regions where the first two observatories were located. It was expected that measuring the demographic levels and trends on those three sites would provide better coverage of the demographic and epidemiological diversity of the country.\n\nFollowing a population census in 1984-1985, demographic events and causes of death have been monitored yearly. During the initial census, all women were interviewed concerning the birth and survival of their children. Since 1985, yearly censuses, usually conducted in January-February, have been recording demographic data, including all births, deaths, and migrations. The completeness and accuracy of dates of birth and death are cross-checked against those of registers of the local maternity ward (_95% of all births) and dispensary (all deaths are recorded, including those occurring outside the area), respectively. The study area comprises 11 villages with approximately 8000 inhabitants, mostly Diola. Mlomp is located in the Department of Oussouye, Region of Ziguinchor (Casamance), 500 km south of Dakar. \n\nOn 1 January 2000 the Mlomp area included a population of 7,591 residents living in 11 villages. The population density was 108 people per square kilometre. The population belongs to the Diola ethnic group, and the religion is predominantly animist, with a large minority of Christians and a few Muslims. Though low, the educational level - in 2000, 55% of women aged 15-49 had been to school (for at least one year) - is definitely higher than at Bandafassi. The population also benefits from much better health infrastructure and programmes. Since 1961, the area under study has been equipped with a private health centre run by French Catholic nurses and, since 1968, a village maternity centre where most women give birth. The vast majority of the children are totally immunized and involved in a growth-monitoring programme (Pison et al.,1993; Pison et al., 2001).","coll_dates":[{"start":"1985-10-01","end":"2014-12-31","cycle":"Release Coverage"}],"nation":[{"name":"Senegal","abbreviation":"SEN"}],"geog_coverage":"The Mlomp DSS site, about 500 km from the capital, Dakar, in Senegal, lies between latitudes 12\u00b036' and 12\u00b032'N and longitudes 16\u00b033' and 16\u00b037'E, at an altitude ranging from 0 to 20 m above sea level. It is in the region of Ziguinchor, D\u00e9partement of Oussouye (Casamance), in southwest Senegal. It is locates 50 km west of the city of Ziguinchor and 25 kms north of the border with Guinea Bissau. It covers about half the Arrondissement of Loudia-Ouolof. The Mlomp DSS site is about 11 km \u00d7 7 km and has an area of 70 km2. Villages are households grouped in a circle with a 3-km diameter and surrounded by lands that are flooded during the rainy season and cultivated for rice. There is still no electricity.","analysis_unit":"Individual","universe":"At the census, a person was considered a member of the compound if the head of the compound declared it to be so. This definition was broad and resulted in a de jure population under study. Thereafter, a criterion was used to decide whether and when a person was to be excluded or included in the population. \n\nA person was considered to exit from the study population through either death or emigration. Part of the population of Mlomp engages in seasonal migration, with seasonal migrants sometimes remaining 1 or 2 years outside the area before returning. A person who is absent for two successive yearly rounds, without returning in between, is regarded as having emigrated and no longer resident in the study population at the date of the second round. This definition results in the inclusion of some vital events that occur outside the study area. Some births, for example, occur to women classified in the study population but physically absent at the time of delivery, and these births are registered and included in the calculation of rates, although information on them is less accurate. Special exit criteria apply to babies born outside the study area: they are considered emigrants on the same date as their mother.\n\nA new person enters the study population either through birth to a woman of the study population or through immigration. Information on immigrants is collected when the list of compounds of a village is checked (\"Are there new compounds or new families who settled since the last visit?\") or when the list of members of a compound is checked (\"Are there new persons in the compound since the last visit?\"). Some immigrants are villagers who left the area several years before and were excluded from the study population. Information is collected to determine in which compound they were previously registered, to match the new and old information.\n\nInformation is routinely collected on movements from one compound to another within the study area. Some categories of the population, such as older widows or orphans, frequently move for short periods of time and live in between several compounds, and they may be considered members of these compounds or of none. As a consequence, their movements are not always declared.","data_kind":"Event history data","notes":"Event Type\nEvent Date\nObservation Date\nMigration Origin & Destination\nDeath: Cause\nDelivery: Live born and Still born counts\nParity","study_scope":"Event Type\nEvent Date\nObservation Date\nMigration Origin & Destination\nDeath: Cause\nDelivery: Live born and Still born counts\nParity"},"method":{"data_collection":{"data_collectors":[{"name":"MLOMP HDSS","abbreviation":"SN012","affiliation":""}],"frequency":"One round of data collection took place annually, except in 1987 and 2008.","sampling_procedure":"No samplaing is done","sampling_deviation":"None","coll_mode":"Proxy Respondent [proxy]","research_instrument":"List of questionnaires:\n- Household  book (used to register informations needed to define outmigrations)\n- Delivery questionnaire (used to register information of dispensaire ol mlomp)\n- New household questionnaire\n- New member questionnaire\n- Marriage and divorce questionnaire\n- Birth and marital histories questionnaire (for a new member)\n- Death questionnaire (used to register the date of death)","coll_situation":"Field procedures \n\nINITIAL CENSUS - The initial census was followed by several surveys designed to improve the information of the census and collect other data needed for subsequent studies. These included an age survey to estimate ages of adults and children or improve the unreliable data collected on these during the census. It also included a genealogical survey to collect genealogies, going up to known ascendants and down to living collateral relatives. One use of the genealogies in the project is to get detailed information on the relationships between members of a compound and in particular the relationship of each one to the head of the compound (Pison 1985). Finally, a union- and birth-histories survey was conducted for adult men and women.\nAt the census, a person was considered a member of the compound if the head of the compound declared it to be so. This definition was broad and resulted in a de jure population under study. Thereafter, a criterion was used to decide whether and when a person was to be excluded or included in the population.\n\nA person was considered to exit from the study population through either death or emigration. Part of the population of Mlomp engages in seasonal migration, with seasonal migrants sometimes remaining 1 or 2 years outside the area before returning. A person who is absent for two successive yearly rounds, without returning in between, is regarded as having emigrated and no longer resident in the study population at the date of the second round. This definition results in the inclusion of some vital events that occur outside the study area. Some births, for example, occur to women classified in the study population but physically absent at the time of delivery, and these births are registered and included in the calculation of rates, although information on them is less accurate. Special exit criteria apply to babies born outside the study area: they are considered emigrants on the same date as their mother. A new person enters the study population either through birth to a woman of the study population or through immigration. Information on immigrants is collected when the list of compounds of a village is checked (\"Are there new compounds or new families who settled since the last visit?\") or when the list of members of a compound is checked (\"Are there new persons in the compound since the last visit?\"). Some immigrants are villagers who left the area several years before and were excluded from the study population. Information is collected to determine in which compound they were previously registered, to match the new and old information.\n\nInformation is routinely collected on movements from one compound to another within the study area. Some categories of the population, such as older widows or orphans, frequently move for short periods of time and live in between several compounds, and they may be considered members of these compounds or of none. As a consequence, their movements are not always declared.\n\nREGULAR UPDATE ROUNDS - The Mlomp DSS is a multiround demographic surveillance, with annual rounds. Once each year, in February and March, all compounds are visited, and information on events occurring since the last visit is collected. This is done in three steps. First, the list of people present in each compound at the preceding visit is checked, and information is obtained on new births, marriages, migrations, deaths, and current pregnancies. Information is provided by the head of the compound or key informants in the village or hamlet. The information on events is recorded directly on the nominative list.\n\nCONTINUOUS SURVEILLANCE - Information provided by local registers is matched with that collected independently during the surveillance. Information from registers with fair quality is used to systematically correct errors and complete the information collected at the yearly rounds. These are maternity-clinic registers (for prenatal visits and deliveries), civil and parish registers (for births), and dispensary or hospital registers (for death, growth monitoring, and vaccinations). The local dispensary collaborates with the research project, and one completes several registers, in particular a death register. Although the local registers rarely cover the entire population and are sometimes subject to errors, using them improves the quality and the precision of data. Verbal autopsies (VAs) have been performed for all deaths since the beginning of the study. For each death identified in the first step of the annual surveillance, information on its cause is obtained from a close relative of the dead person, usually the mother in the case of a child's death, using a VA questionnaire.\n\nData management and analysis\n\nInformation collected during the baseline and follow-up surveys has been coded and stored in databases designed in 1980s, with some adaptations since then. The information collected during each annual surveillance is processed in two steps: in the villages, it is entered into laptops, with state-of-the-art software, during the surveillance; thereafter, the information is verified and added to the database, using PostgreSQL software.","act_min":"There are five  fieldworkers supervised by two supervisors alternate days. One of this supeervisors is the data manager (O. Ndiaye)","weight":"Not applicable","cleaning_operations":"On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validaton failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction. If the error was due to data inconsistencies that could not be directly traced to a data collection error, the record was referred to the data quality team under the supervision of the senior database scientist. This could request further field level investigation by a team of trackers or could correct the inconsistency directly at database level.\n\nNo imputations were done on the resulting micro data set, except for:\n\na. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG).\nb.  If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event.\nc. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG).\nd. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event.\ne. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an out-migration event (OMG)\n\nIn the case of the village that was added (enumerated) in 2006, some individuals may have outmigrated from the original surveillance area and setlled in the the new village prior to the first enumeration. Where the records of such individuals have been linked, and indivdiual can legitmately have and outmigration event (OMG) forllowed by and enumeration event (ENU). In a few cases a homestead exit event (EXT) was followed by an enumeration event in these cases. In these instances the EXT events were changed to an out-migration event (OMG).","method_notes":"The following processing checks are done during the ETL process.\n\n1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.\n2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.\n3. If the transition events are legal.\n\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":"On an average the response rate is about 99% over the years for each round.","sampling_error_estimates":"Not applicable","data_appraisal":"CenterId     Metric Table         QMetric    Illegal       Legal        Total       Metric         Rundate  \nSN012\tMicroDataCleaned\tStarts\t\t18756\t\t\t2017-05-19 00:00\t\nSN012\tMicroDataCleaned\tTransitions 0\t45136\t45136\t0\t2017-05-19 00:00\t\nSN012\tMicroDataCleaned\tEnds\t\t18756\t\t\t2017-05-19 00:00\t\nSN012\tMicroDataCleaned\tSexValues  38\t45098\t45136\t0\t2017-05-19 00:00\t\nSN012\tMicroDataCleaned\tDoBValues  204\t44932\t45136\t0\t2017-05-19 00:00"}},"data_access":{"dataset_availability":{"original_archive":"IRD  : Mlomp (SN012)"},"dataset_use":{"conf_dec":[{"txt":"This data ononymised 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":"help-data@indepth-network.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\"Mlomp HDSS INDEPTH Core Dataset 1985-2014 (Release 2017). Provided by the INDEPTH Network Data Repository.www.indepth-network.org <http:\/\/www.indepth-network.org>,  doi:10.7796\/INDEPTH.SN012.CMD2014.v1\"","conditions":"This data is made available for licensed access under the following conditions: \n\n1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement. \n\n2. In the case of multi-centre datasets, data originating from a single contributing member centre of the INDEPTH Network may not be analysed or reported on in isolation without the express permission of the member centre concerned.  \n\n3. No attempt will be made to re-identify respondents, and there will be no use of the identity of any person or establishment discovered inadvertently. Any such discovery will be reported immediately to INDEPTH. \n\n4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. \n\n5. Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from INDEPTH will cite the source, in line with the citation requirement provided with the dataset. \n\n6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. \n\n7. The original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inference","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":"SN012.CMD2014.v1","description":"\u00c8vent history Micro Data Set for Mlomp 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":"5","var_width":"5","var_rec_seg_no":"1","labl":"RecNr","var_val_range":[{"units":"REAL","min":"1","max":"21650"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A sequential number identifyng 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":"6","var_end_pos":"8","var_width":"3","var_rec_seg_no":"1","labl":"CountryId","var_val_range":[{"units":"REAL","min":"686","max":"686"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"ISO 3166-1 numeric code of the country in wich 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":"9","var_end_pos":"13","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 ech member centre of the format CCCSS, where CCC is a sequential centre identifier and SS is a sequential identifier of the site with the centre in the case of mutilpe siste 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":"14","var_end_pos":"18","var_width":"5","var_rec_seg_no":"1","labl":"IndividualId","var_val_range":[{"units":"REAL","min":"1","max":"13309"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A number uniquely identifier all he records belonging t 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":"19","var_end_pos":"19","var_width":"1","var_rec_seg_no":"1","labl":"Sex","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sexof the individual.","var_catgry":[{"value":"0","labl":"unknow","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":"20","var_end_pos":"29","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. 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":"30","var_end_pos":"30","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 INDICIDUAL IN THIS DATA","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":"31","var_end_pos":"31","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":"32","var_end_pos":"34","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 occured.","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":"35","var_end_pos":"44","var_width":"10","var_rec_seg_no":"1","labl":"EventDate","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"The date on which the event occured. Fiormat : 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":"45","var_end_pos":"54","var_width":"10","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":"55","var_end_pos":"58","var_width":"4","var_rec_seg_no":"1","labl":"LocationId","var_val_range":[{"units":"REAL","min":"1","max":"1731"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Unique identifier associated with a residential unit the site and is the location where the individual was or became resident when the event occured. This identifier is not be the same as the identifier ysed internaly 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":"59","var_end_pos":"63","var_width":"5","var_rec_seg_no":"1","labl":"MotherId","var_val_range":[{"units":"REAL","min":"4","max":"13307"}],"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":"discrete","var_start_pos":"64","var_end_pos":"64","var_width":"1","var_rec_seg_no":"1","labl":"DeliveryId","var_val_range":[{"units":"REAL","min":"1","max":"1"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The RecNr of the delivery event associated with birth.","var_format":"numeric","var_format_schema":"other","fid":"F1"}],"variable_groups":[]}