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<codeBook version="1.2.2" ID="TZA_1997-2014_INDEPTH-IHDSS_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Ifakara Rural INDEPTH Core Dataset 1997-2014 (Release 2017)
        </titl>
        <IDNo>
          DDI_TZA_1997-2014_INDEPTH-IHDSS_v01_M
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="iS2TT" affiliation="INDEPTH Network" role="Documentation of the study">
          iSHARE2 Technical Team
        </producer>
        <producer affiliation="Ifakara Health Institute" role="Documentation of the study">
          Imani Irema
        </producer>
        <prodDate date="2017-05-20">
          2017-05-20
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[- v01 (May 2017)
The DDI was produced by INDEPTH Network. It was downloaded on October 12, 2017 from http://www.indepth-ishare.org/index.php/catalog/133/ by the World Bank Microdata Library documentation team.

- v02 (October 2017)
Modifications 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>
          CMD2014.v1: Initial documentation for public distribution
        </notes>
      </verStmt>
      <holdings URI="http://www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Ifakara Rural INDEPTH Core Dataset 1997 - 2014 (Release 2017)
        </titl>
        <altTitl>
          INDEPTH-IHDSS 1997-2014
        </altTitl>
        <IDNo>
          TZA_1997-2014_INDEPTH-IHDSS_v01_M
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Thematic group leader of M&amp;E Ifakara Health Institute">
          Eveline Geubbels
        </AuthEnty>
        <othId affiliation="Ifakara Health Institute">
          <p>
            Fieldworkers
          </p>
        </othId>
        <othId affiliation="Ifakara Health Institute">
          <p>
            IT Support staffs
          </p>
        </othId>
        <othId affiliation="Ifakara Health Institute">
          <p>
            Field supervisors
          </p>
        </othId>
        <othId affiliation="Ifakara Health Institute">
          <p>
            Data Clerks
          </p>
        </othId>
        <othId affiliation="Community">
          <p>
            Key Informants
          </p>
        </othId>
        <othId affiliation="Community ">
          <p>
            Village Leaders
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="II" affiliation="Ifakara Health Institute" role="Data Officer">
          Mr Imani Irema
        </producer>
        <producer abbr="RN" affiliation="Ifakara Health Institute" role="Technical assistance in questionnaire design: ">
          Dr. Rose Nathan
        </producer>
        <producer abbr="HM" affiliation="Ifakara Health Institute" role="Technical assistance in questionnaire design: ">
          Dr. Honorati Masanja
        </producer>
        <producer abbr="OM" affiliation="Ifakara Health Institute" role="Technical assistance in questionnaire design: ">
          Mr. Oskar Mukasa
        </producer>
        <producer abbr="RN" affiliation="Ifakara Health Institute" role="Technical assistance in sampling methodology/selection:">
          Dr. Rose Nathan
        </producer>
        <producer abbr="HM" affiliation="Ifakara Health Institute" role="Technical assistance in sampling methodology/selection:">
          Dr. Honorati Masanja
        </producer>
        <producer abbr="OM" affiliation="Ifakara Health Institute" role="Technical assistance in sampling methodology/selection:">
          Mr. Oskar Mukasa
        </producer>
        <producer abbr="AS" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr Amri Shamte
        </producer>
        <producer abbr="CM" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr Chrisostom Mahutanga
        </producer>
        <producer abbr="JC" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr Jensen Charles
        </producer>
        <producer abbr="AK" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr. Advocatus Kakorozya
        </producer>
        <producer abbr="TK" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr. Tumaini Kilimba
        </producer>
        <producer abbr="AD" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr. Aurelio DiPasquale
        </producer>
        <producer abbr="NM" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr. Nicolas Maire
        </producer>
        <producer abbr="RA" affiliation="Ifakara Health Institute" role="Technical assistance in data processing">
          Mr Ramadhan Abdul
        </producer>
        <producer abbr="JK" affiliation="Ifakara Health Institute" role="Technical assistance in data processing">
          Mr Jumanne Kisweka
        </producer>
        <producer abbr="JF" affiliation="Ifakara Health Institute" role="Technical assistance in data processing">
          Mr Jackson Francis
        </producer>
        <producer abbr="RN" affiliation="Ifakara Health Institute" role="Technical assistance in data analysis">
          Dr Rose Nathan
        </producer>
        <producer abbr="FL" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr. Francis Levira
        </producer>
        <producer abbr="HM" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Dr. Honorati Masanja
        </producer>
        <producer abbr="EG" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Dr. Eveline Geubbels
        </producer>
        <producer abbr="RA" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr Ramadhan Abdul
        </producer>
        <producer abbr="AS" affiliation="Ifakara Health Institute" role="Technical assistance in data collection and system upgrading">
          Mr Amri Shamte
        </producer>
        <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.
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="MoHSW">
          Ministry of Health and Social Welfar
        </fundAg>
        <fundAg abbr="STI">
          Swiss Tropical Institute
        </fundAg>
        <fundAg abbr="BMGF">
          Bill and Melinda Gates Foundation
        </fundAg>
        <fundAg abbr="GFATM">
          Global Fund for to Fight HIV/AIDS, TB and Malaria
        </fundAg>
        <fundAg abbr="DDCF">
          Doris Duke Charitable Foundation
        </fundAg>
        <fundAg abbr="Comic Relief, UK">
          Comic Relief, UK
        </fundAg>
        <fundAg abbr="NFSD">
          Novatus Foundation for Suitable Development
        </fundAg>
        <fundAg abbr="USAID">
          United State Urgency for International Development
        </fundAg>
        <fundAg abbr="WB">
          World Bank
        </fundAg>
        <fundAg abbr="WHO">
          World Health Organization
        </fundAg>
        <fundAg abbr="DFID">
          UK Department for International Development
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH Network" URI="http://indepth-ishare.org/howtouse" email="help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          Round 1 to 54 from July 1997 to December 2015
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2017-05-20">
          CMD2014.v1: Edited dataset for public distribution
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Fertility
        </keyword>
        <keyword>
          Mortality
        </keyword>
        <keyword>
          Migration
        </keyword>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Demography [N01.224]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Emigration and Immigration [N01.224.625.350]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Mortality [N01.224.935.698]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Birth Rate [N01.224.935.849.500]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[Longitudinal data gathered from health surveillance is very essential, when combined with detailed demographic information, can provide invaluable insight into public health needs and importance. Ifakara DSS is one of the oldest site that managed by Ifakara Health Institute in Tanzania. It is located in remote area of the river valley of Kilombero in Morogoro region. The site was set up on 1996 with the main focus on the impact evaluation of malaria intervention on child health and survival. In early 2000s, it extends its initiatives on population monitoring and evaluation of community health intervention programs and researches on adult health and older people of Kilombero and Ulanga districts.  Since its inception the HDSS has been very instrumental in producing population evidence base with the potential to guide policy and action in public health related needs and population changes over time.  

The Ifakara DSS is continuous demographic surveillance, consisting of initial and repeat censuses of the chosen population after every four months, registering each individual resident and recording their associated information, such as household socioeconomic status, Individual education status, marital status, bed net ownership, pregnancy and pregnancy outcome. Health outcomes and vital events (e.g. births, deaths, in and out migration) in the DSS area are then linked to individual demographic records for precise estimate. This help to understand the dynamism of the population over time in terms of fertility, mortality and migration. It provides data for calculating the denominators of demographic rates. The cause of death for specific age group is also administered through standardized verbal autopsy questionnaire adopted from the In-depth network.

The objectives of Ifakara DSS
- To collect accurate information on child health and survival,
- To provide a framework for population based health research which is relevant to the local health priorities and needs, 
- To evaluate/test health tools and community well being interventions 
- To monitor some of the NSGRP/MDG indicators.
- To document all births, deaths, In and out migration on the DSS area
- To quantify the impact of health and poverty reduction strategies and intervention
- To document the trend of cause specific mortality (burden of disease) of Kilombero and Ulanga districts

The access for Ifakara demographic data is currently abided by the institutional data sharing policy and procedure fall under the data centralization team (dc@ihi.or.tz <mailto:dc@ihi.or.tz>) while the forms for data requisition and extraction are online available at www.ihidata.org <http://www.ihidata.org>. All requests of data by either online or physical should be subjected to institutional committee for ethical approval and being only accepted by field researchers with regards to specified objectives or the existing collaboration between two parts.]]>
      </abstract>
      <sumDscr>
        <collDate date="1997-01-01" event="start" cycle="Release Coverage"/>
        <collDate date="2014-12-31" event="end" cycle="Release Coverage"/>
        <nation abbr="TZA">
          Tanzania
        </nation>
        <geogCover>
          The Ifakara Health and Demographic Surveillance System (HDSS) area is located in southern Tanzania in parts of two districts, Kilombero and Ulanga both in Morogoro region (latitude 8° 00.'to 8° 35'S, altitude 35° 58 to 36° 48'E). It covers a total of 25 villages in rural area of Ulanga nd Kilombero districts, with a population of about 124,000 people in 28,000 households.
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          The Ifakara Rural DSS covered a total of 25 villages in Ulanga and Kilombero districts comprising 127,450 people residing in 22,670 households. In 2007, the Ifakara HDSS extended its area of coverage by including 5 villages of Ifakara town which comprised by 45000 people residing in approximately 12000 households. This is a home of about 25% of the African population with social, economic and demographic importance.
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The Ifakara HDSS collects and updates detailed information from the study area of Kilombero and Ulanga districts. Some of these include Homestead information: such as Latitude, longitude, altitude, village name, village code, name of hamlet and location identifier (Location ID). Other related issues are Household Information like household names and household heads.

The term household is referred by HDSS as a group of individuals who share, or eat from, the same cooking pot. 

On Individuals, information like names (Given name, Middle name and Family name), sex, birth date, marital-status, relation to household head, occupation, education level and individual ID. 

While on residency, the information of residency status is also captured for instance; resident, died or out-migrated), marital status to members equal to 13 years of age, pregnancy status for women aged 13-49 years, location ID and Individual ID. 

Pregnancy outcome related information: In this theme information of live birth, number of babies, still birth, abortion, date of birth, place of birth, names, sex of child, mother's personal identity number (link), father's personal identity number are collected. Death: In this theme information collected are date of death, place of death, age at Death and individual ID are collected. 

Verbal Autopsy is also done to identify the probable cause of death. 

In-migration: In this theme the following information are collected: Date of in-migration, Individual ID, names, sex, date of birth of migrant, reason for in-migration, relation to household head, origin of migration episode and whether the migrant had a previous residence within the Rufiji HDSS. 

Out-migration: Date of out-migration, Individual ID, reason for out-migration and destination of migration episode. Finally, the social economic status information is updated once per year.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector>
          Omary Kayuga
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Gloria Shirima
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Johnson Ngenga
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Constantine Lyambiko
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Upendo salamtwa
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Rehema Erasto
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Novatus Chagodola
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Halima Mbulete
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Kalimbo Nkuba
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Honesta Mzyangizyangi
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Dionesia Mponsidawa
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Ally Mpangile
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Beatrice Njavike
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Alhaji Hangahanga
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Agnes Mhala
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Joseph Mwoja
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Expetus Ligoho
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Enhadi Mhesi
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Fariji Mwamtobe
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Serafim Sali
        </dataCollector>
        <dataCollector affiliation="Data Clerk">
          Eligius Mpwagi
        </dataCollector>
        <frequenc>
          <![CDATA[Three rounds per year from 1996 to 2012
Two rounds per year from 2013 onwards]]>
        </frequenc>
        <sampProc>
          Not Applicable
        </sampProc>
        <deviat>
          None
        </deviat>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          The questionnaires are designed to capture the core HDSS information which includes the baseline, birth, inmigration, outmigration and death along with the other questionnaires.
        </resInstru>
        <sources/>
        <weight>
          Not Applicable
        </weight>
        <cleanOps>
          <![CDATA[The following processing checks are done during the ETL process.

1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.
2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.
3. If the transition events are legal.
    The list of legal transitions:
    
    Birth followed by death
    Birth followed by exit
    Birth followed by end of observation
    Birth followed by outmigration
    
    Death followed by none
    
    Entry followed by death
    Entry followed by exit
    Entry followed by end of observation
    Entry followed by outmigration
    Enumeration followed by death
    Enumeration followed by exit
    Enumeration followed by outmigration
    
    Exit followed by entry
    
    Inmigration followed by Death
    Inmigration followed by exit
    Inmigration followed by end of observation
    Inmigration followed by outmigration
    
    End of observation followed by none
    
    Outmigration followed by none
    Outmigration followed by enumeration
    Outmigration followed by inmigration
    
    The list of illegal transitions:
    
    Birth followed by none
    Birth followed by birth
    Birth followed by entry
    Birth followed by enumeration
    Birth followed by   inmigration
     
    Death followed by birth
    Death followed by death
    Death followed by entry
    Death followed by enumeration
    Death followed by exit
    Death followed by inmigration
    Death followed by outmigration
    Death followed by end of observation
    
    Entry followed by none
    Entry followed by birth
    Entry followed by entry
    Entry followed by enumeration
    Entry followed by inmigration
    
    Enumeration followed by none
    Enumeration followed by birth
    Enumeration followed by entry
    Enumeration followed by enumeration
    Enumeration followed by inmigration
    
    Exit followed by birth
    Exit followed by death
    Exit followed by exit
    Exit followed by end of observation
    Exit followed by outmigration
    
    Inmigration followed by none
    Inmigration followed by birth
    Inmigration followed by entry
    Inmigration followed by enumeration
    Inmigration followed by inmigration
    
    End of observation followed by birth
    End of observation followed by death
    End of observation followed by entry
    End of observation followed by enumeration
    End of observation followed by exit
    End of observation followed by inmigration
    End of observation followed by end of observation
    End of observation followed by outmigration
    
    Outmigration followed by birth
    Outmigration followed by death
    Outmigration followed by exit
    Outmigration followed by end of observation
    Outmigration followed by outmigration
    
    List of edited events:
    
    Exit followed by none
    Exit followed by enumeration
    Exit followed by inmigration
    
    Outmigration followed by entry]]>
        </cleanOps>
      </dataColl>
      <notes>
        Currently, the information from the field is captured through the use of Open HDS system (electronic devices tablets). The collected data are uploaded daily to the central server through the use of network connectivity from the workstation however; the HDSS used customized designed software called the Household Registration System 2 (HRS 2) which developed in Visual FoxPro 6 since its establishment on 1996.
      </notes>
      <anlyInfo>
        <respRate>
          <![CDATA[98% of the residents from the Ifakara DSS area accept to participate on surveillance studies. All refusal are documented and being followed by the field management team to identify its causal or reasons.  To ensure effective community engagement on health researches, the Ifakara HDSS have introduced several programs such the use of Community Advisory Board which comprised by members from the grass root of the community. Their main responsibility is to raise community awareness and sensitization and sending feedback to the community about ongoing research activities form the platform.  Besides that the Ifakara DSS team uses Key Informants (KIs) and hamlet leaders as a community representative to convene various meetings over the field areas and giving out the progressive reports to feedback the community. Also newsletters and fliers are distributed to the community. This tool is reconstructed in a lay language that everyone can understand. Through these programs strong relation are built as a result of improving community participation on health research activities.]]>
        </respRate>
        <dataAppr>
          <![CDATA[The qualities of information collected by Ifakara DSS are highly prioritized from the initial point of data collection from the field section up to data management level. For-instance in the field section 90% of field managers' time spent on the field while the quality of information is monitored through validation process where 3-5% of households are randomly sampled for re-interview by a field supervisor who validates the previous collected information. Moreover, sport checks and accompanied visit is done by field management team to evaluate every field interviewer if they comply or adhere with cord of conduct and standard operating procedure (ethics) when they are collecting field information.

Further more the HDSS data is collected through the use of electronic devices (tablets) to ensure timely access of quality, consistent and accurate data.   Beside that on the data management section, the HRS2 software is used to track some of the inconsistencies form the data base for immediate follow-up. Some of them are edited online and others are printed and reported back to the field for more clarification and correction. Finally the clean data base is archived for report generation.

CentreId	MetricTable	QMetric	Illegal	Legal	Total	Metric	RunDate	
TZ011	MicroDataCleaned	Starts		311047			2017-05-18 18:38	
TZ011	MicroDataCleaned	Transitions 0	727834	727834	0	2017-05-18 18:39	
TZ011	MicroDataCleaned	Ends		311047			2017-05-18 18:40	
TZ011	MicroDataCleaned	SexValues 74	727760	727834	0	2017-05-18 18:40	
TZ011	MicroDataCleaned	DoBValues	727834			2017-05-18 18:40]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Ifakara Health Institute : Ifakara Rural (TZ011)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anonymized and no confidetiality agreement is addition to the confidetiality for the use agreement is required
        </confDec>
        <contact affiliation="INDEPTH" email="help-desk@indepth-network.org">
          iSHARE2
        </contact>
        <citReq>
          <![CDATA[Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:

"Ifakara Rural INDEPTH Core Dataset 1997-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. doi:10.7796/INDEPTH.TZ011.CMD2014.v1"]]>
        </citReq>
        <conditions>
          <![CDATA[This data is made available for licensed access under the following 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. 

2. 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.  

3. 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. 

4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. 

5. 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. 

6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. 

7. 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.]]>
        </conditions>
        <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.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="TZA_1997-2014_INDEPTH-IHDSS_v01_M.Nesstar?Index=0&amp;Name=TZ011.CMD2014.v1">
    <fileTxt>
      <fileName>
        TZ011.CMD2014.v1.NSDstat
      </fileName>
      <fileCont>
        This file contains event history micro dataset of Ifakara Rural HDSS
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Ifakara Rural HDSS
      </filePlac>
      <verStmt>
        <version>
          CMD2015.v1
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Center Related Variables
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V4 V5 V6">
      <labl>
        Individual Related Variables
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V1 V7 V8 V9 V10 V11 V12" varGrp="VG6">
      <labl>
        Event Related Variables
      </labl>
    </varGrp>
    <varGrp ID="VG6" type="subject" var="V13 V14">
      <labl>
        Birth Related Variables
      </labl>
    </varGrp>
    <var ID="V1" name="RecNr" files="F1" dcml="0" intrvl="contin">
      <location StartPos="1" EndPos="6" width="6" RecSegNo="1"/>
      <labl>
        Record Numbe
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="765197"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A sequential number uniquely identifying each record in the data file
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2" name="CountryId" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="7" EndPos="9" width="3" RecSegNo="1"/>
      <labl>
        Country ID
      </labl>
      <valrng>
        <range UNITS="REAL" min="834" max="834"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country where the surveillance site is situated
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="CentreId" files="F1" intrvl="discrete">
      <location StartPos="10" EndPos="14" width="5" RecSegNo="1"/>
      <labl>
        Centre ID
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <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:- CC the ISO 3166-1 alpha-2 code of the country where the site is situated- 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-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
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="contin">
      <location StartPos="15" EndPos="20" width="6" RecSegNo="1"/>
      <labl>
        Individual ID
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="297229"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <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
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="Sex" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Sex of the individual
1=Male
2=Female]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <location StartPos="22" EndPos="31" width="10" RecSegNo="1"/>
      <labl>
        Date of Birth
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <txt>
        The date of birth of the individual Format YYYY-MM-DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V7" name="EventCount" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Event Count
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The total number of events associated with this individual in this data set
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="EventNr" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Event Number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occurred
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="EventCode" files="F1" intrvl="discrete">
      <location StartPos="36" EndPos="38" width="3" RecSegNo="1"/>
      <labl>
        Event Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code which identifies the type of event that has occurred
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <labl>
          Birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <labl>
          Death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Entry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Exit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          In-Migration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation End
        </labl>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Observation Lost
        </labl>
      </catgry>
      <catgry>
        <catValu>
          OBS
        </catValu>
        <labl>
          Observation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          OMG
        </catValu>
        <labl>
          Out-Migration
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <location StartPos="39" EndPos="48" width="10" RecSegNo="1"/>
      <labl>
        Event Date
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <txt>
        The date on which the event occurred Format: YYYY-MM-DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V11" name="ObservationDate" files="F1" intrvl="discrete">
      <location StartPos="49" EndPos="58" width="10" RecSegNo="1"/>
      <labl>
        Observation Date
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <txt>
        Date on which the event was observed (recorded), also known as surveillance visit date Format YYYY-MM-DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V12" name="LocationId" files="F1" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="63" width="5" RecSegNo="1"/>
      <labl>
        Location ID
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="55179"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Unique identifier associated with a residence unit within the site and is the location where the individual was or became resident, when the event occurred. this identifier is not the same as the identifier used internally by the contributing centre
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="MotherId" files="F1" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="69" width="6" RecSegNo="1"/>
      <labl>
        Mother ID
      </labl>
      <valrng>
        <range UNITS="REAL" min="3" max="297218"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The individual of the mother, only provided for BTH events
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="DeliveryId" files="F1" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="74" width="5" RecSegNo="1"/>
      <labl>
        Delivery ID
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="45517"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
