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<codeBook version="1.2.2" ID="INDEPTH.MZ021.CMD2015.v1" 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>
          Chokwe Health Research and Training Centre INDEPTH Core Dataset 2010-2015 (Release 2018)
        </titl>
        <IDNo>
          DDI.INDEPTH.MZ021.CMD2015.v1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="iS2TT" affiliation="INDEPTH Network" role="Documentation of the study">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="int.indepth" affiliation="INDEPTH Network" role="Agency">
          INDEPTH Network
        </producer>
        <producer abbr="DM" affiliation="Chokwe Health Research and Training Centre" role="DDI Author">
          Dercio Mente
        </producer>
        <producer abbr="JB" affiliation="Chokwe Health Research and Training Centre" role="DDI Author">
          Juvencio Bonzela
        </producer>
        <producer abbr="RT" affiliation="Chokwe Health Research and Training Centre" role="DDI Author">
          Ricardo Thompson
        </producer>
        <prodDate date="2018-07-10">
          2018-07-10
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version MZ021.CMD2015.v1 : Documented duing iSHARE2 May workshop on 2018-05-14 and later modified on 2018-07-10
        </version>
        <notes>
          Version MZ021.CMD2015.v1: For public distribution
        </notes>
      </verStmt>
      <holdings URI="http://www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Chokwe Health Research and Training Centre INDEPTH Core Dataset 2010-2015 (Release 2018)
        </titl>
        <parTitl>
          Centro de Investigacao e Treino em Saude de Chokwe INDEPTH Core Dataset 2010-2015 (Publicacao de 2018)
        </parTitl>
        <IDNo>
          INDEPTH.MZ021.CMD2015.v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Chókwè Health Research and Training Center, National Institute Of Health, Mozambique ">
          Ricardo Thompson, Ph.D.
        </AuthEnty>
        <othId>
          <p>
            Site team
          </p>
        </othId>
        <othId>
          <p>
            <![CDATA[Community leaders, CAB,  Chókwè  Authorities  ]]>
          </p>
        </othId>
        <othId>
          <p>
            INDEPTH NETWORK
          </p>
        </othId>
        <othId>
          <p>
            PEPFAR-CDC
          </p>
        </othId>
        <othId>
          <p>
            NIH-MOH MOZAMBIQUE
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="JB" affiliation="Chókwè Health Research and Training Centre, National Institute of Health, Mozambique" role="Demographer">
          Juvêncio Bonzela
        </producer>
        <producer abbr="DM" affiliation="Chókwè Health Research and Training Centre, National Institute of Health, Mozambique" role="Data Manager from April 2017">
          Dercio Menete
        </producer>
        <producer abbr="JC" affiliation="Chókwè Health Research and Training Centre, National Institute of Health, Mozambique" role="Data Manager upto March 2017">
          José Comé
        </producer>
        <producer abbr="DM" affiliation="Chókwè Health Research and Training Centre, National Institute of Health, Mozambique" role="Managers of Verbal Autopsy">
          Didier Mugabe
        </producer>
        <producer abbr="CM" affiliation="Chókwè Health Research and Training Centre, National Institute of Health, Mozambique" role="Managers of Verbal Autopsy">
          Celso Monjane
        </producer>
        <producer abbr="SM" affiliation="Chókwè Health Research and Training Centre, National Institute of Health, Mozambique" role="Staticician ">
          Sofiao Major
        </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="PEPFAR -CDC" role="Current funder">
          PEPFAR -CDC
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH" URI="http://www.indepth-ishare.org/" email="Help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          This datset contains rounds 0 to round 6 of demographic surveillance system data covering the period from June 2010 to May 2016.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2018-05-25">
          <![CDATA[MZ021.CMD2015.v1:  Edited data, second version, for internal review only
MZ021.CMD2015.v2:  Edited dataset for public distribution]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Migration
        </keyword>
        <keyword>
          Fertility
        </keyword>
        <keyword>
          Mortality
        </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[The Chókwè Health And Demographic Surveillance System (Chókwè HDSS), is a core research platform of Chókwè Health and Research Centre, affiliated to National Institute of Health, Ministry of Health, Mozambique. The centre is located in Chókwè District, Gaza Province, southern Mozambique., about 230 Km north of the capital Maputo, on the flood plain of the Limpopo River. It was established in June 2010, to provide a platform for implementation and evaluation of clinical trials and health intervention, especially against HIV and related diseases, based on locally generated data. 

Chokwe HDSS is a member of the International Network for Demographic Evaluation of the Population and Their Health (INDEPTH), since October 2014. The surveillance area covers an area of approximately 600 square kms within a 25 kms radius of Chokwe City, including 15 (fifteen) villages of which, eight (8) villages are part of Chókwè Municipality (classified as urban) and seven (7) are rural villages namely, Lionde Administrative Post (Lionde Sede, Massavasse, Conhane) and Macarretane (Muzumuia, Matuba, Manjangue and Barragem). The population under surveillance is 97,939 inhabitants (~ 50% of total the district population), in 21,498 households. 

The baseline census took place between May and July 2010 and covered all the population of Chókwè City. The census registered 56,727 inhabitants in 12,326 households and each household and individual assigned a unique permanent identification number which enables the follow up of the population. All households are geolocated and enumerated. A resident is defined as any person living in the study area or planning to stay for at least the 3 following months. 

Based on recommended INDEPTH methodology for demographic surveillance, monitoring of households and members within households is undertaken in regular 6-month cycles known as 'rounds'. Since its implementation, data collection consists on demographic history including details on birth outcomes (births, still births and abortions), deaths, migration (in-migration and out-migration). The updating of demographic data is done in the three following ways: 

    - Update rounds: In each round, a team of  field interviewers and supervisors visit their assigned households to update the demographic data.

    - Continuous update through community informants: Local leaders report occurring demographic events in their community to the concerned HDSS team.  

    - Birth and death registrations in health facilities: data collectors are responsible for the daily registration of all births and deaths occurring in the health facilities in the surveillance area.

The data are double entered into a relational database designated Household Registration System (HRS1) implemented in Microsoft Visual FoxPro version 5.  Consistence checking and validation are performed and resolved. 
Verbal autopsy using modified WHO standardized questionnaires, based on physician coded approach has been conducted on all deaths since 2012. Currently, data collection is in the process of migration to electronic data capture and interpretation with InterVA applying the WHO 2012 modified questionnaire.

The Site Leader is Dr Ricardo Thompson]]>
      </abstract>
      <sumDscr>
        <timePrd date="2010-06-10" event="start" cycle="Baseline 1-Round 0"/>
        <timePrd date="2010-07-15" event="end" cycle="Baseline 1-Round 0"/>
        <timePrd date="2011-01-01" event="start" cycle="Round 1"/>
        <timePrd date="2011-08-30" event="end" cycle="Round 1"/>
        <timePrd date="2011-10-01" event="single" cycle="Round 2"/>
        <timePrd date="2011-11-01" event="start" cycle="Expansion Baseline 2"/>
        <timePrd date="2012-02-15" event="end" cycle="Expansion Baseline 2"/>
        <timePrd date="2012-08-03" event="single" cycle="Round 3: end- not completed due floods in January 2013 (started on 23 January)"/>
        <timePrd date="2013-09-03" event="start" cycle="Round 4"/>
        <timePrd date="2014-06-28" event="end" cycle="Round 4"/>
        <timePrd date="2014-07-21" event="start" cycle="Round 5"/>
        <timePrd date="2015-05-31" event="end" cycle="Round 5"/>
        <timePrd date="2015-06-03" event="start" cycle="Round 6"/>
        <timePrd date="2016-05-15" event="end" cycle="Round 6"/>
        <collDate date="2010-04-01" event="start" cycle="Release Coverage"/>
        <collDate date="2015-12-31" event="end" cycle="Release Coverage"/>
        <nation abbr="MZ">
          Mozambique
        </nation>
        <geogCover>
          The surveillance area covers an area of approximately 600 square km around Chokwe City (-24.528981, 32.981228), including 15 (fifteen) villages of which, eight (8) villages are part of Chókwè Municipality (classified as urban) and seven (7) are rural villages namely, Lionde Administrative Post (Lionde Sede, Massavasse, Conhane) and Macarretane (Muzumuia, Matuba, Manjangue and Barragem). The population under surveillance is 97,939 inhabitants (~ 50% of total the district population), in 21,498 households.
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          The population under surveillance is 97,939 inhabitants (~ 50% of total District population), residing in 21498 households. All households and members are assigned a unique identification number (Perm_ID). A member is defined as somebody living in the Demographic Surveillance Area (DSA) for more than three (3) months or intending to remain in the DSA for at least three months.
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The scope of the HDSS include:

1. Household: (Geo-location: Latitude, longitude; Household socioeconomic data: household construction characteristics, water and electricity supply, main cooking fuel source, kitchen, sanitation, number of members with income, bed nets, Household head characteristics (name, residency, occupation, religion HDSS ID);

2. Individual: Names, HDSS identification (mother, father, spouse), names (all where available), member position, sex, date of birth, education, religion, occupation, marital status, birth place, relationship to the head of household, nickname, cell phone use and ownership data, subscribed networks and most frequently used, residence status, location ID, civil registration status and documentation, disability (type and cause), deaths (Date, Location id, death place). For women, number of live births delivered, number of surviving children, number of abortions, number of stillbirths. 

Pregnancy (Mother id, Name, location id, number of months pregnant, pregnancy registration date), Pregnancy outcomes (Date of registration, mother id, Mother Location ID, name, date of delivery, type of delivery result, number of prior pregnancies, way of delivery, number of living birth, place of delivery, gestational age), In migration (Date of registration, HDSS ID, location id, event occurrence date, place of provenience, HH from the place of provenience, name of in-migrant, sex, marital status, date of birth, place of birth, education level, occupation, religion, relationship to the HH, mother ID, father id, spouse ID) and Out Migration (Date of registration, HDSS ID, location ID, date, name of out-migrant, destination, name of HH at destination place, location of destination (whether is located inside the study area
or not);

3. Demographic Events:
    3.1. Pregnancies:
    3.2. Pregnancies Outcome (Birth, Stillbirth and abortions);
    3.3. Migration (In-migration & Out-migration);
    3.4. Deaths
    3.5. Verbal Autopsy]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector affiliation=" National Institute Of Health, Mozambique ">
          Chókwè Health Research and Training Center(MZ021)
        </dataCollector>
        <frequenc>
          <![CDATA[Round (baseline) 1 to Round 2 : Once a year
Round 3 to 4: twice a year
Round  5 : once a year]]>
        </frequenc>
        <sampProc>
          This dataset covers the whole population int he surveillance area.
        </sampProc>
        <deviat>
          None
        </deviat>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          <![CDATA[The core HDSS questionnaires are:  
1. Household Enumeration and Member Registration Form
2. New Household Form  
3. Emigration Registration Form
4. Immigration Registration Form
5. Death Registration Form
6. Pregnancy Registration Form
7. Pregnancy Outcome Registration Form]]>
        </resInstru>
        <sources/>
        <collSitu>
          For data collection quality assurance all staff was trained in their specific tasks for the initial census and for each demographic update rounds. The establishment of Community Advisory Board, is one of the foremost determinants of the community engagement in the HDSS. So far, no household has refused registration in HDSS or visits by data collectors. Financial constraints have resulted in some delays in running some of the update rounds on schedule.
        </collSitu>
        <actMin>
          Supervision is continuously done throughout each update round. A sample of 5% of households previously visited by field interviewers, are re-visited by supervisors who repeat the data collection exercise to evaluate the quality of the work done by each interviewer.
        </actMin>
        <weight>
          Not applicable
        </weight>
      </dataColl>
      <anlyInfo>
        <respRate>
          On an average the response rate is 100% over the years for all rounds.
        </respRate>
        <EstSmpErr>
          Not Applicable
        </EstSmpErr>
        <dataAppr>
          <![CDATA[CentreId	MetricTable	QMetric	                 Illegal	Legal	Total	Metric	RunDate	

MZ021	MicroDataCleaned	Starts		                137941			2018-05-25 12:15	
MZ021	MicroDataCleaned	Transitions	0	320317	320317	0.	2018-05-25 12:15	
MZ021	MicroDataCleaned	Ends		                137941			2018-05-25 12:15	
MZ021	MicroDataCleaned	SexValues		320317			2018-05-25 12:15	
MZ021	MicroDataCleaned	DoBValues		320317			2018-05-25 12:15]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Chokwe (MZ021)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anonymised and no confidentiality agreement in addition to general data use agreement is required
        </confDec>
        <contact affiliation="INDEPTH" URI="http//indepth-ishare.org" email="help-data@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:

"Chokwe Health Research and Training Centre INDEPTH Core Dataset 2010-2015 (Release 2018). Provided by the INDEPTH Network Data Repository. www.indepth-network.org doi:10.7796/INDEPTH.MZ021.CMD2015.v2"]]>
        </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="DDI.INDEPTH.MZ021.CMD2015.v1.Nesstar?Index=0&amp;Name=MZ021.CMD2015.v2">
    <fileTxt>
      <fileName>
        MZ021.CMD2015.v2.NSDstat
      </fileName>
      <fileCont>
        Event History Events Micro Dataset of Chokwe Health Research and Training Centre
      </fileCont>
      <dimensns>
        <caseQnty>
          372725
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Chokwe Health Research and Training Centre
      </filePlac>
      <dataChck>
        <![CDATA[The following processing checks are done during the ETL process.
A.	If the first event is legal. Like the first event must be enumeration, birth or inmigration.
B.	If the last event is legal. Like the last event must be end of observation, death or outmigration.
C.	If the transition events are legal.
 
· The list of legal transitions:
1)	Birth followed by death
2)	Birth followed by exit
3)	Birth followed by end of observation
4)	Birth followed by outmigration
5)	Death followed by none
6)	Entry followed by death
7)	Entry followed by exit
8)	Entry followed by end of observation
9)	Entry followed by outmigration
10)	Enumeration followed by death
11)	Enumeration followed by exit
12)	Enumeration followed by outmigration
13)	Exit followed by entry
14)	Inmigration followed by Death
15)	Inmigration followed by exit
16)	Inmigration followed by end of observation
17)	Inmigration followed by outmigration
18)	End of observation followed by none
19)	Outmigration followed by none
20)	Outmigration followed by enumeration
21)	Outmigration followed by inmigration

· The list of illegal transitions:
1)	Birth followed by none
2)	Birth followed by birth
3)	Birth followed by entry
4)	Birth followed by enumeration
5)	Birth followed by inmigration
6)	Death followed by birth
7)	Death followed by death
8)	Death followed by entry
9)	Death followed by enumeration
10)	Death followed by exit
11)	Death followed by inmigration
12)	Death followed by outmigration
13)	Death followed by end of observation
14)	Entry followed by none
15)	Entry followed by birth
16)	Entry followed by entry
17)	Entry followed by enumeration
18)	Entry followed by inmigration
19)	Enumeration followed by none
20)	Enumeration followed by birth
21)	Enumeration followed by entry
22)	Enumeration followed by enumeration
23)	Enumeration followed by inmigration
24)	Exit followed by birth
25)	Exit followed by death
26)	Exit followed by exit
27)	Exit followed by end of observation
28)	Exit followed by outmigration
29)	Inmigration followed by none
30)	Inmigration followed by birth
31)	Inmigration followed by entry
32)	Inmigration followed by enumeration
33)	Inmigration followed by inmigration
34)	End of observation followed by birth
35)	End of observation followed by death
36)	End of observation followed by entry
37)	End of observation followed by enumeration
38)	End of observation followed by exit
39)	End of observation followed by inmigration
40)	End of observation followed by end of observation
41)	End of observation followed by outmigration
42)	Outmigration followed by birth
43)	Outmigration followed by death
44)	Outmigration followed by exit
45)	Outmigration followed by end of observation
46)	Outmigration followed by outmigration

· List of edited events:
1)	Exit followed by none
2)	Exit followed by enumeration
3)	Exit followed by inmigration
4)	Outmigration followed by entry]]>
      </dataChck>
      <verStmt>
        <version>
          CMD2015.v2: Extracted from raw dataset for public distribution
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
1c52f73a8bdfa7a6b87ac75633d2f842]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Centre Related Variables
      </labl>
      <txt>
        This group has identifiers for country and centre
      </txt>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V4 V5 V6 V7">
      <labl>
        Individual related Variables
      </labl>
      <txt>
        This group has identifiers for individuals
      </txt>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V8 V9 V10 V11 V12" varGrp="VG6">
      <labl>
        Event related variables
      </labl>
      <txt>
        This group has event related identifiers
      </txt>
    </varGrp>
    <varGrp ID="VG6" type="subject" var="V13 V14">
      <labl>
        Birth related Variables
      </labl>
      <txt>
        This group contains Birth(BTH) related variables
      </txt>
    </varGrp>
    <var ID="V1" name="RecNr" files="F1" dcml="0" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        RecNr
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A sequentila number uniquily identifying each recird in the data file
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2" name="CountryId" files="F1" dcml="0" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        CountryId
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ISO 3166-1  numeric code of the country  in which the surveillance site is situated]]>
      </txt>
      <catgry>
        <catValu>
          508
        </catValu>
        <catStat type="freq">
          372725
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="CentreId" files="F1" intrvl="discrete">
      <location width="5" RecSegNo="1"/>
      <labl>
        CentreId
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        An identifier issued by INDEPTH to each member centre of the format CCCSS, where CCC is aa sequential centre identifier and SS is a sequential identifier of the site within the centre in the case of multiple site centres
      </txt>
      <catgry>
        <catValu>
          MZ021
        </catValu>
        <catStat type="freq">
          372725
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        IndividualId
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[A number uniquily identifying all the records belonging to a specific individual in the data file. this number is not the same the as 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 RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sex of the individual
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unknown
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          152259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          220466
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="min">
        1901-01-01
      </sumStat>
      <sumStat type="max">
        2015-12-31
      </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 RecSegNo="1"/>
      <labl>
        EventCount
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The total number of events associated with this individual in this data set
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          142998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          129267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          54276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          23945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          13122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          5068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="EventNr" files="F1" dcml="0" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        EventNr
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A Number increasing from 1 to EventCount for each event record in order of event occurrence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          136337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          136337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          64838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          21749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          8180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="EventCode" files="F1" intrvl="discrete">
      <location width="3" RecSegNo="1"/>
      <labl>
        EventCode
      </labl>
      <sumStat type="vald">
        372725
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code identifying the typpe of event that has occurred.
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          14595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          13993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          4199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Entry
        </labl>
        <catStat type="freq">
          15328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <catStat type="freq">
          96073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Exit
        </labl>
        <catStat type="freq">
          15481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          In-migration
        </labl>
        <catStat type="freq">
          31733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation Last
        </labl>
        <catStat type="freq">
          136337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Observation Lost
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBS
        </catValu>
        <labl>
          Observation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OMG
        </catValu>
        <labl>
          Out-migration
        </labl>
        <catStat type="freq">
          44986
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        372723
      </sumStat>
      <sumStat type="min">
        2010-04-01
      </sumStat>
      <sumStat type="max">
        2016-01-01
      </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 RecSegNo="1"/>
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        372187
      </sumStat>
      <sumStat type="min">
        2010-01-26
      </sumStat>
      <sumStat type="max">
        2018-05-25
      </sumStat>
      <txt>
        <![CDATA[date on which the event was observed (recorded), also known as surveillance visit date. Format: YYYY/MM/DD
dates less than 1800]]>
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V12" name="LocationId" files="F1" dcml="0" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        LocationId
      </labl>
      <sumStat type="vald">
        372725
      </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 bacame 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="discrete">
      <location RecSegNo="1"/>
      <labl>
        LocationId
      </labl>
      <sumStat type="vald">
        28588
      </sumStat>
      <sumStat type="invd">
        344137
      </sumStat>
      <txt>
        IndividualId of the mother. Only for BIH events
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="DeliveryId" files="F1" dcml="0" intrvl="discrete">
      <location RecSegNo="1"/>
      <labl>
        DeliveryId
      </labl>
      <sumStat type="vald">
        28527
      </sumStat>
      <sumStat type="invd">
        344198
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
