{"type":"survey","study_desc":{"title_statement":{"idno":"BGD_2005-2014_INDEPTH-CHDSS_v01_M","title":"Chakaria HDSS INDEPTH Core Dataset 2005 - 2014 (Release 2017)","alt_title":"INDEPTH-CHDSS 2005-14"},"authoring_entity":[{"name":"SM Manzoor Ahmed Hanifi","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B"},{"name":"Dr. Mohammad Iqbal","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B"},{"name":"Dr. Abbas Bhuiya","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B"}],"oth_id":[{"name":"Department for International Development (UK Aid)","affiliation":"","email":"","role":""},{"name":"Government of Bangladesh","affiliation":"","email":"","role":""},{"name":"Global Affairs Canada","affiliation":"GAC","email":"","role":""},{"name":"Swedish International Development Cooperation Agency","affiliation":"Sida","email":"","role":""},{"name":"Chakaria villagers","affiliation":"","email":"","role":""},{"name":"Team members of the Chakaria Community Health Project","affiliation":"","email":"","role":""},{"name":"Surveillance Workers","affiliation":"","email":"","role":""},{"name":"Data Manger","affiliation":"","email":"","role":""},{"name":"Field Research Manager","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"Amena Sultana","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B","role":"Check quality of data and analyze"},{"name":"Shehrin Shaila Mahmood","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B","role":"Technical support in report writing"},{"name":"Sabrina Rasheed","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B","role":"Technical support in report writing"},{"name":"Mohammad Nahid Mia","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B","role":"Data analysis"},{"name":"Asiful Haidar Chowdhury","affiliation":"Chakaria Health and Demographic Surveillance System, ICDDR,B","role":"Data quality check, Data analysis, Interpretation of findings, Technical support in report writing"}],"copyright":"This dataset documentation is licensed under a Creative Common Attribution-NonCommercial 4.0 International License. This dataset is shared in terms of the data-use agreement accepted at the time of data download.","funding_agencies":[{"name":"International Centre for Diarrhoeal Disease, Research, Bangladesh","abbreviation":"ICDDR,B","role":""}]},"distribution_statement":{"contact":[{"name":"iSHARE2 HelpDesk","affiliation":"INDEPTH Network","email":"help-data@indepth-network.org","uri":"http:\/\/www.indepth-network.org\/index.php\/feedback"}]},"series_statement":{"series_name":"Demographic Surveillance","series_info":"Although Chakaria HDSS started in 1999, covering 183 villages of 166,405 individuals living in 26,979 households, data collection was interrupted during 2001-03. Since 2004, quarterly data collection has resumed, and data have been systematically collected from 7,042 households, randomly chosen from the total of 26,979 households. Data have been collected through quarterly visits by a team of surveillance workers (SWs) with supervision from a team of two supervisors. On a typical day, prior to 2011 a SW would come to the office and take a list of households assigned by the supervisors, travel to respondents' households, update the events and return the collected data sheets to the office. Using this system, data collection and data management took a significant amount of time and money, involving daily travel to the households by SWs. The above system of data collection was modified in 2011. The modification involved choosing 49 villages randomly from a total of 183. The 49 villages were divided into 14 work areas and 14 SWs were recruited from the 14 work areas where they resided. Most of the households included in the system prior to this modification were also included in the new system. The modification of the system has resulted in the SWs visiting almost double the number of households in comparison with the previous system, saving time spent on travel in the earlier system. In addition, the modification allowed the possibility of estimating migration as the system includes complete villages. Currently, surveillance covers 82,029 individuals (16,624 households)."},"version_statement":{"version":"CMD2014.V1: Edited dataset for public distribution","version_date":"2017-06-29","version_notes":"CMD2014.V1"},"holdings":[{"text":"","location":"","callno":"","uri":"10.7796\/INDEPTH.BD013.CMD2014.V1"}],"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":"Chakaria Health and Demographic Surveillance System (CHDSS), located on the south-eastern coast of the Bay of Bengal, is one of the field sites of International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDRB). The HDSS was established in 1999 covering 183 villages of 166,405 individuals living in 26,979 households.\n\nIn CHDSS since 2004 data on socio-demographic and health indicators including birth, death, migration, marriage, maternal health, education and employment have been systematically collected and recorded from 7,042 households, randomly chosen from the total of 26,979 households through quarterly household visits by a team of surveillance workers (SWs) with supervision from a team of two supervisors. In 2011 data collection system was modified choosing 49 villages randomly from a total of 183 which were divided into 14 work areas and 14 SWs were recruited from their residing areas. Most of the households included in the system prior to this modification were also included in the new system. The modification of the system has resulted the visit by SWs almost double the number of households, saving time spent on travel in comparison with the previous system. In addition, the modification allowed the possibility of estimating migration as the system includes complete villages. \n\nCurrently, surveillance covers 82,160 individuals (16,272 households). The primary objective of CHDSS is to monitor the changes in socio-demographic indicators, inequalities in health and impact of public health interventions. This dataset contains rounds 1 to 26 of demographic surveillance data covering the period from 2 Feb 2004 to 31 December 2014.","coll_dates":[{"start":"2005-01-01","end":"2014-12-31","cycle":"Release Coverage"}],"nation":[{"name":"Bangladesh","abbreviation":"BGD"}],"geog_coverage":"Chakaria is one of the 500 upazilas (sub-districts) in Bangladesh. It is located between latitudes 21o34' and 21o55' North and longitudes 91o54' and 92o13' East in the southeastern coast of the Bay of Bengal. Administratively, it is under Cox's Bazar district with an estimated population of 511,861 in 2013. The highway from Chittagong to Cox's Bazar passes through Chakaria. The east side of Chakaria is hilly, while on the west side towards the Bay of Bengal is lowland. The Chakaria HDSS covered 11 unions: Baraitali, Kaiarbil, Bheola Manik Char, Paschim Boro Bheola, Shaharbil, Kakara, Harbang, Purba Boro Bheola, Surajpur Manikpur, Konakhali, and Dhemoshia.","analysis_unit":"Individual","universe":"Currently, the study covers 82,029 individuals (16,624 households) in Chakaria HDSS area.","data_kind":"Event history data","notes":"So far, all the important demographic indicators related to fertility, mortality, migration and nuptiality have been measured. Information on causes of deaths and migration are also collected and tabulated. In addition, indicators of special interest such as hunger, water and sanitation, use of family planning, use of safe delivery services, immunization, health-seeking behaviour, use of iodized salt, consumption of tobacco, nutritional anthropometry, ownership of mobile phone and household socio-economic condition have been collected when felt appropriate. Socio-economic inequities for the major health and demographic indicators have always been assessed and published.","study_scope":"So far, all the important demographic indicators related to fertility, mortality, migration and nuptiality have been measured. Information on causes of deaths and migration are also collected and tabulated. In addition, indicators of special interest such as hunger, water and sanitation, use of family planning, use of safe delivery services, immunization, health-seeking behaviour, use of iodized salt, consumption of tobacco, nutritional anthropometry, ownership of mobile phone and household socio-economic condition have been collected when felt appropriate. Socio-economic inequities for the major health and demographic indicators have always been assessed and published."},"method":{"data_collection":{"data_collectors":[{"name":"Surveillance workers","abbreviation":"SWs","affiliation":"Chakaria HDSS"},{"name":"Supervisors","abbreviation":"","affiliation":"Chakaria HDSS"}],"frequency":"Collection of data from households on a quarterly basis","sampling_procedure":"This dataset is related to the demographic surveillance population as a whole","sampling_deviation":"Not applicable","coll_mode":"Proxy Respondent [proxy]","research_instrument":"- Child Health Profile form\n- Death form\n- Household Characteristics form\n- DSS data collection blank form\n- Abolished form\n- Correction form\n- Listing form\n- Migration form","coll_situation":"Data have been collected through quarterly visits by a team of surveillance workers (SWs) with supervision from a team of two supervisors. On a typical day, prior to 2011 a SW would come to the office and take a list of households assigned by the supervisors, travel to respondents\u2019 households, update the events and return the collected data sheets to the office. The above system of data collection was modified in 2011. The modification involved choosing 49 villages randomly from a total of 183. The 49 villages were divided into 14 work areas and 14 SWs were recruited from the 14 work areas where they resided.","act_min":"Two supervisors supervised the data-collection process. To detect any anomalies, the supervisors re-visited 5% of the households, chosen randomly, within 2 days of data collection by the field workers. Later on, the supervisors and the relevant field workers together sorted out any inconsistencies in the collected data. All the filled-up questionnaires were manually checked for completeness and for any inconsistencies.","weight":"Not applicable","cleaning_operations":"All the filled questionnaires were manually checked for completeness and for any inconsistencies. Subsequently, computer-based data editing procedures were applied to ensure the quality of data.","method_notes":"The dataset was generated using ETL through Pentaho Kettle.\n\nThe following processing checks are done during the ETL process.\n\n1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.\n2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.\n3. If the transition events are legal.\n\n    The list of legal transitions:\n    \n    Birth followed by death\n    Birth followed by exit\n    Birth followed by end of observation\n    Birth followed by outmigration\n    \n    Death followed by none\n    \n    Entry followed by death\n    Entry followed by exit\n    Entry followed by end of observation\n    Entry followed by outmigration\n    Enumeration followed by death\n    Enumeration followed by exit\n    Enumeration followed by outmigration\n    \n    Exit followed by entry\n    \n    Inmigration followed by Death\n    Inmigration followed by exit\n    Inmigration followed by end of observation\n    Inmigration followed by outmigration\n    \n    End of observation followed by none\n    \n    Outmigration followed by none\n    Outmigration followed by enumeration\n    Outmigration followed by inmigration\n    \n    The list of illegal transitions:\n    \n    Birth followed by none\n    Birth followed by birth\n    Birth followed by entry\n    Birth followed by enumeration\n    Birth followed by   inmigration\n     \n    Death followed by birth\n    Death followed by death\n    Death followed by entry\n    Death followed by enumeration\n    Death followed by exit\n    Death followed by inmigration\n    Death followed by outmigration\n    Death followed by end of observation\n    \n    Entry followed by none\n    Entry followed by birth\n    Entry followed by entry\n    Entry followed by enumeration\n    Entry followed by inmigration\n    \n    Enumeration followed by none\n    Enumeration followed by birth\n    Enumeration followed by entry\n    Enumeration followed by enumeration\n    Enumeration followed by inmigration\n    \n    Exit followed by birth\n    Exit followed by death\n    Exit followed by exit\n    Exit followed by end of observation\n    Exit followed by outmigration\n    \n    Inmigration followed by none\n    Inmigration followed by birth\n    Inmigration followed by entry\n    Inmigration followed by enumeration\n    Inmigration followed by inmigration\n    \n    End of observation followed by birth\n    End of observation followed by death\n    End of observation followed by entry\n    End of observation followed by enumeration\n    End of observation followed by exit\n    End of observation followed by inmigration\n    End of observation followed by end of observation\n    End of observation followed by outmigration\n    \n    Outmigration followed by birth\n    Outmigration followed by death\n    Outmigration followed by exit\n    Outmigration followed by end of observation\n    Outmigration followed by outmigration\n    \n    List of edited events:\n    \n    Exit followed by none\n    Exit followed by enumeration\n    Exit followed by inmigration"},"analysis_info":{"response_rate":"On an average the response rate is 99.99% in all rounds over the years.","sampling_error_estimates":"Not applicable","data_appraisal":"CentreId\tMetricTable\tQMetric\t                 Illegal\t                 Legal\t                Total                  Metric\t   RunDate\t\nBD013\tMicroDataCleaned\tStarts\t\t                                 135810\t\t\t                                   2017-06-29 12:12\t\nBD013\tMicroDataCleaned\tTransitions\t0\t                 339739\t                 339739\t           0.\t                   2017-06-29 12:12\t\nBD013\tMicroDataCleaned\tEnds\t\t                                 135810\t\t\t                                   2017-06-29 12:12\t\nBD013\tMicroDataCleaned\tSexValues\t\t                  339739\t\t\t                                   2017-06-29 12:12\t\nBD013\tMicroDataCleaned\tDoBValues\t\t                  339739\t\t\t                                   2017-06-29 12:13"}},"data_access":{"dataset_availability":{"original_archive":"ICDDR-B: Chakaria (BD013)"},"dataset_use":{"conf_dec":[{"txt":"This data is anonymized and no confidentiality agreement in addition to the general data use agreement is required.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"iSHARE2 HelpDesk","affiliation":"INDEPTH","email":"help-data@indepth-network.org","uri":"http:\/\/indepth-share.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\"Chakaria HDSS INDEPTH Core Dataset 2004-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org<http:\/\/www.indepth-network.org>. doi:10.7796\/INDEPTH.BD013.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 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":"BD013.CMD2014.v1","description":"This file contains BD013 INDEPTH Core microdataset in event history format. This file was generated using ETL through Pentaho Kettle.","case_count":"0","var_count":"14","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"RecNr","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"1","var_end_pos":"6","var_width":"6","var_rec_seg_no":"1","labl":"RecNr","var_val_range":[{"units":"REAL","min":"1","max":"326162"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A sequential number uniquely identifying each record in the datafile","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":"8","var_width":"2","var_rec_seg_no":"1","labl":"CountryId","var_val_range":[{"units":"REAL","min":"50","max":"50"}],"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":"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 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":"14","var_end_pos":"19","var_width":"6","var_rec_seg_no":"1","labl":"IndividualId","var_val_range":[{"units":"REAL","min":"1","max":"145661"}],"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 the same as the identifier issued 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":"20","var_end_pos":"20","var_width":"1","var_rec_seg_no":"1","labl":"Sex","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sex of the individual. 1 for Male and 2 for Female","var_catgry":[{"value":"0","labl":"Unknown","stats":null,"type":null},{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"DoB","file_id":"F1","var_intrvl":"discrete","var_start_pos":"21","var_end_pos":"30","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":"31","var_end_pos":"32","var_width":"2","var_rec_seg_no":"1","labl":"EventCount","var_val_range":[{"units":"REAL","min":"2","max":"10"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The total number of events associated with this individual in this data set","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V8","name":"EventNr","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"33","var_end_pos":"34","var_width":"2","var_rec_seg_no":"1","labl":"EventNr","var_val_range":[{"units":"REAL","min":"1","max":"10"}],"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":"35","var_end_pos":"37","var_width":"3","var_rec_seg_no":"1","labl":"EventCode","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A code identifying the type of event that has occurred","var_catgry":[{"value":"BTH","labl":"Birth","stats":null,"type":null},{"value":"DLV","labl":"Delivery","stats":null,"type":null},{"value":"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":"38","var_end_pos":"47","var_width":"10","var_rec_seg_no":"1","labl":"EventDate","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"The date on which the event occurred. Format: YYYY\/MM\/DD","var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V11","name":"ObservationDate","file_id":"F1","var_intrvl":"discrete","var_start_pos":"48","var_end_pos":"57","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":"58","var_end_pos":"62","var_width":"5","var_rec_seg_no":"1","labl":"LocationId","var_val_range":[{"units":"REAL","min":"1","max":"25319"}],"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 indivdual was or became resident when the event occurred. This identifier is not the same as the identifier used internally by the contributing centre.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V13","name":"MotherId","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"63","var_end_pos":"68","var_width":"6","var_rec_seg_no":"1","labl":"MotherId","var_val_range":[{"units":"REAL","min":"5","max":"145660"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The IndividualID of the mother. Only provided for BTH events.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V14","name":"DeliveryId","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"69","var_end_pos":"73","var_width":"5","var_rec_seg_no":"1","labl":"DeliveryId","var_val_range":[{"units":"REAL","min":"1","max":"17629"}],"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":[]}