<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="ZAF_1996-2014_INDEPTH-DHDSS_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>
          Dikgale HDSS INDEPTH Core Datase 1996-2014 (Release 2017)
        </titl>
        <IDNo>
          DDI_ZAF_1996-2014_INDEPTH-DHDSS_v01_M
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="iS2TT" affiliation="INDEPTH Network" role="Technical Support">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="ZA021" affiliation="University of Limpopo" role="Documentation of the study">
          Dikgale Health and Demographic Surveillance Site
        </producer>
        <producer abbr="ZA021" affiliation="University of Limpopo" role="Documentation of the study">
          Tlouyamma Joseph
        </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/136/ 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: For public distribution
        </notes>
      </verStmt>
      <holdings URI="http://www.indepth-ishare.org/"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Dikgale HDSS INDEPTH Core Dataset 1996 - 2014 (Release 2017)
        </titl>
        <IDNo>
          ZAF_1996-2014_INDEPTH-DHDSS_v01_M
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Dikgale HDSS , University of Limpopo (ZA021)">
          Marianne Alberts
        </AuthEnty>
        <AuthEnty affiliation="Dikgale HDSS , University of Limpopo (ZA021)">
          Sandra Burger
        </AuthEnty>
        <othId role="Data Specialist" affiliation="Dikgale HDSS,University of Limpopo (ZA021)">
          <p>
            Timotheus Darikwa
          </p>
        </othId>
        <othId role="Data Manager" affiliation="Dikgale HDSS,University of Limpopo (ZA021)">
          <p>
            Ian Cook
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer affiliation="Dikgale HDSS - University of Limpopo" role="Data Manager">
          Tlouyamma Joseph
        </producer>
        <producer affiliation="Dikgale HDSS - University of Limpopo" role="Data Manager">
          Letsoalo Peter
        </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="VLIR" role="Current funder">
          Vlaamse Interuniversitaire Raad
        </fundAg>
        <fundAg abbr="NUFU" role="Prior Funder">
          Norwegian Universities Committee for Development Research
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH" URI="http://indepth-ishare.org/howtouse" email="help-data@indepth-network.org">
          iSHARE helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          Round 16-20 of the annual demographic surveillance survey represents data from an expanded field site of approximately 36 000 for the period 2010- 2015. The current data set also include annual data for rounds 1-15 from the earlier,smaller fieldsite of approximately 8000 for the period 1995-2009.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2017-05-20">
          <![CDATA[CMD2014.v1: Edited  Core Microdata 2015, for public distribution, extracted on 20 May 2017.]]>
        </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[Changes in socio-economic status and lifestyle behaviors among the adult population in South Africa not only in urban areas but also in rural South Africa, have led to increased prevalence of chronic diseases and associated risk factors, together with an epidemic of some infectious diseases. Researchers at the University of the North (now University of Limpopo Turfloop campus) established The Dikgale centre for Health and Demographic surveillance system in 1996 funded by a core grant from NUFU, Norway. 

The broad aim of the Dikgale HDSS is to provide information to improve health of the people in Limpopo province and to assist the local government in making effective health care policy. As few data are available on the prevalence of diseases in rural and peri-urban areas of Limpopo province, the initial objective of the HDSS was to establish a field site where the incidence and prevalence of diseases could be assessed.  It was therefore necessary to collect longitudinal demographic data (e.g. mortality, fertility, migration) on the population. To this end, three primary subjects are observed longitudinally in Dikgale HDSS: physical structures (e.g. homesteads, clinics and schools), households and individuals. The information about these subjects, and all related information, was at first stored in Access and later in a single MSSQL Server database, in a truly longitudinal way-i.e. not as a series of cross-sections.

The surveillance area is located in the Capricorn district, Limpopo province approximately 40 km from Polokwane, the capital city of Limpopo province and 15-50 km from the University of Limpopo (Turfloop campus). The site covers an area of approximately 200 square kilometers. The initially the total population was 8000 but the field site was expanded in 2010 and now includes approximately 36,000 people who are members of approximately 7000 households. The households are present in 15 villages of varying sizes.  The population is predominantly Northern Sotho speaking. All households have electricity. Some households have piped water either inside the house or in their yards, but most fetch water from taps situated at strategic points in the villages. Most households have a pit latrine in their yards. A large proportion of adults are migrant workers, while others work as farm laborers on neighboring farms, or as domestic workers in nearby towns. Many are pensioners. The unemployment rate in the area is high.

To fulfil the eligibility criteria for the Dikgale HDSS cohort, individuals must be a member of a household within the surveillance area but not necessarily resident within it. Crucially, this means that Dikgale HDSS collects information on resident and non-resident members of households and makes a distinction between membership (self-defined on the basis of links to other household members) and residency (residing at a physical structure within the surveillance area at a particular point in time). Individuals can be members of more than one household at any point in time (e.g. polygamous married men whose wives maintain separate households).  To be consistent with similar datasets from other INDEPTH Member centres, this data set contains data from resident members only.

During data collection, households are visited by fieldworkers and information supplied by a single key informant. All births, deaths and migrations of household members are recorded. If household members have moved internally within the surveillance area, such moves are reconciled and the internal migrant retains the original identifier associated with him/her.]]>
      </abstract>
      <sumDscr>
        <collDate date="1996-01-01" event="start" cycle="Release Coverage"/>
        <collDate date="2014-12-31" event="end" cycle="Release Coverage"/>
        <nation abbr="ZAF">
          South Africa
        </nation>
        <geogCover>
          <![CDATA[Demographic surveillance area situated  in Capricorn District 40 km north- east of Polokwane the capital city of Limpopo province, and 20-30 km from the University of Limpopo. The area is approximately 310 square kilometers.]]>
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          <![CDATA[- Resident household members of households  within the demographic surveillance area. 

Immigrants are defined by intention to become resident, but actual residence episodes of less than 180 days are censored. Outmigrants are defined by intention to become resident elsewhere, but actual periods of non-residence less than 180 days are censored. Children born to resident women are considered resident by default, irrespective of actual place of birth. The dataset contains the events of all individuals ever resident during the study period (only covering the original field site of 8000 people (1 January,1996  to 31 December 2013).]]>
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[This study represents only a portion of the total data associated with the complete Dikgale demographic surveillance as described in the study abstract. It specifically only includes the events defining the resident exposure of individuals under surveillance as well as the delivery events of resident women. Each type of event contains minimal attributes describing the event.

Attributes common to each event: Event Type, Event Date, Observation Date

Migration: Origin & Destination

Death: Cause

Delivery: Live Born and Still Born Counts, Parity]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="ZA021">
          <![CDATA[Dikgale Health and Demographic Surveillance System  ]]>
        </dataCollector>
        <frequenc>
          Once a year
        </frequenc>
        <sampProc>
          This dataset is not based on a sample, it contains information from the complete demographic surveillance area.
        </sampProc>
        <deviat>
          Not applicable.
        </deviat>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          <![CDATA[1) Bounded structure registration (BSR) or update (BSU) form
- Used to register characteristics of the BS
- Updates characteristics of the BS
- Information as at previous round is preprinted

2) Household registration (HHR) or update (HHU) form
- Used to register characteristics of the HH
- Used to update information about the composition of the household
- Information pre-printed of composition and all registered households as at previous

3) Household Membership Registration (HMR) or update (HMU)
- Used to link individuals to households
- Information preprinted of member status observations as at previous

4) Individual registration form (IDR)
- Used to uniquely identify each individual
- Mainly to ensure members with multiple household memberships are appropriately captured

5) Migration notification form (MGN)
- Used to record change in the BS of residency of individuals or households
- Migrants are tracked and updated in the database

6) Pregnancy history form (PGH) & pregnancy outcome notification form (PON)
- Records details of pregnancies and their outcomes
- Only if woman is a new member
- Only if woman has never completed WHL or WGH

7) Death notification form (DTN)
- Records all deaths that have recently occurred
- Includes information about time, place, circumstances and possible cause of death]]>
        </resInstru>
        <sources/>
        <collSitu>
          Enumerators were trained immediately prior to the baseline data collection. as data collectors. Data entry staff received fieldwork training in addition to training in the use of the data entry programs.
        </collSitu>
        <weight>
          Not applicable.
        </weight>
        <cleanOps>
          <![CDATA[On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validation failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction. 

No imputations were done on the resulting micro data set, except for:

a. 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).

b. 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.

c. 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).

d. 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.

e. 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).]]>
        </cleanOps>
      </dataColl>
      <notes>
        <![CDATA[All homesteads in the Dikgale HDSS were geocoded and entered into a geographic information system (GIS) prior to the start of surveillance. 

Before the round, a SQL script generated a list of questionnaires to be printed for each household resident in the surveillance area. Each questionnaire is given a unique integer key which is printed as a barcode on the questionnaire. A series of web-based reports called 'Unified Reports' are then used to track and control the status of each questionnaire from document production, data collection, data entry and document archiving. A strict chain of custody is enforced for all questionnaire movements.

A data entry is performed by one data capturer with one supervisor using in-house developed software (Delphi and .NET C#). 
Data is stored in a MS SQL database, with transaction logging, daily backups and twice weekly off-site backups. Constraints and validation rules placed on the database help in checking data quality during data entry. 

Because of error in data entry 100% recheck was done on all entries.

Field QC Procedures

The team leader checks the conduct  of the interviewer.After data collection and before data entry, the  questionnaires are checked for completeness, consistency and accuracy. If a questionnaire failed to meet the quality standard requirements, the questionnaire is sent back the questionnaires to the team leader.

Following data collection and data entry completion  a snapshot of the operational database is created as an analytical database. This snapshot is uniquely identified and analytical datasets must reference the analytical database they originated from..

An SQL script produces a normalised episode table each time an analytical database is created. This episode table contains an exposure record for each exposure episode for an individual, from initial enumeration, birth or in-migration, up to eventual death or out-migration. The episode table contains the start event and date of the exposure as well as the end event and date of the end of exposure. Individuals that out-migrate and later in-migrate are reconciled as far as possible using individual identifiers (national identity number, names, sex and date of birth) under a single individual identity. All internal movements (migrations) are reconciled and residencies at different homesteads within the surveillance area are reflected as separate episodes in the episode table.

To produce this micro-data set, the episode table is processed using Pentaho Kettle ETL program to produce this standard event-history format dataset.

The following processing checks are done during the ETL process.

1. If the first event is legal. Like the first event must be enumeration, birth or inmigration.
2. If the last event is legal. Like the last event must be end of observation, 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]]>
      </notes>
      <anlyInfo>
        <respRate>
          On an average, it is 99% over the years in all rounds
        </respRate>
        <EstSmpErr>
          Not Applicable.
        </EstSmpErr>
        <dataAppr>
          <![CDATA[CentreId	                MetricTable	               QMetric      Illegal	Legal	Total	Metric	RunDate
ZA021	MicroDataCleaned	Starts		52379			2017-05-20 14:35	
ZA021	MicroDataCleaned	Transitions 0	110666	110666	0	2017-05-20 14:35	
ZA021	MicroDataCleaned	Ends		52379			2017-05-20 14:35	
ZA021	MicroDataCleaned	SexValues 6	110660	110666	0	2017-05-20 14:35	
ZA021	MicroDataCleaned	DoBValues 12	110654	110666	0	2017-05-20 14:35]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Dikgale (ZA021)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required.
        </confDec>
        <contact affiliation="INDEPTH Network" URI="http://indepth-ishare.org" email="help-ishare@indepth-network.org">
          iSHARE2 Help desk
        </contact>
        <citReq>
          <![CDATA[Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:

"Dikgale HDSS INDEPTH Core Datase 1996-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. doi:10.7796/INDEPTH.ZA021.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="ZAF_1996-2014_INDEPTH-DHDSS_v01_M.Nesstar?Index=0&amp;Name=ZA021.CMD2014.V1">
    <fileTxt>
      <fileName>
        ZA021.CMD2014.V1.NSDstat
      </fileName>
      <fileCont>
        This file contains Dikgale HDSS (ZA021) INDEPTH Core Mirco Dataset Event History Format
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Dikgale HDSS (ZA021)
      </filePlac>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG16" type="subject" var="V2 V3">
      <labl>
        Centre Related Variables
      </labl>
      <txt>
        This group has identifiers for country and centre.
      </txt>
    </varGrp>
    <varGrp ID="VG17" type="subject" var="V4 V5 V6 V7">
      <labl>
        Individual Related Variables
      </labl>
      <txt>
        This group has identifiers for individuals.
      </txt>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V1 V8 V9 V10 V11 V12" varGrp="VG19">
      <labl>
        Event Related Variables
      </labl>
      <txt>
        This group has event related identifiers
      </txt>
    </varGrp>
    <varGrp ID="VG19" type="subject" var="V13 V14">
      <labl>
        Birth Related Variables
      </labl>
      <txt>
        This group contains Birth (BTH) related events.
      </txt>
    </varGrp>
    <var ID="V1" name="RecNr" files="F1" dcml="0" intrvl="contin">
      <location StartPos="1" EndPos="5" width="5" RecSegNo="1"/>
      <labl>
        RecNr
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="74249"/>
      </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="6" EndPos="8" width="3" RecSegNo="1"/>
      <labl>
        CountryId
      </labl>
      <valrng>
        <range UNITS="REAL" min="710" max="710"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country in which the surveillance site is situated
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="CentreId" files="F1" intrvl="discrete">
      <location StartPos="9" EndPos="13" width="5" RecSegNo="1"/>
      <labl>
        CentreId
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <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
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="contin">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        IndividualId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="36405"/>
      </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 be the same as the identifier used by a contributing centre to identify the individual.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="Sex" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="19" EndPos="19" 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>
        Sex of the individual. 1 for Male and 2 for 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="20" EndPos="29" width="10" RecSegNo="1"/>
      <labl>
        DoB
      </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="30" EndPos="30" width="1" RecSegNo="1"/>
      <labl>
        EventCount
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="4"/>
      </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="31" EndPos="31" width="1" RecSegNo="1"/>
      <labl>
        EventNr
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </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 occurrence
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="EventCode" files="F1" intrvl="discrete">
      <location StartPos="32" EndPos="34" width="3" RecSegNo="1"/>
      <labl>
        EventCode
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code identifying 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>
          Location Entry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Location 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>
          Last Observation
        </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="35" EndPos="44" width="10" RecSegNo="1"/>
      <labl>
        EventDate
      </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="45" EndPos="54" width="10" RecSegNo="1"/>
      <labl>
        ObservationDate
      </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="55" EndPos="58" width="4" RecSegNo="1"/>
      <labl>
        LocationId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="6607"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Unique identifier associated with a residential unit within the site and is the location where the individual was or became resident when the event occurred. This identifier is not be 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="discrete">
      <location StartPos="59" EndPos="59" width="1" RecSegNo="1"/>
      <labl>
        MotherId
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The IndividualId 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="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        DeliveryId
      </labl>
      <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>
