<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="INDEPTH.MW011.CMD2012.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>
          Karonga HDSS INDEPTH Core Dataset 2003 - 2012 Release 2015
        </titl>
        <IDNo>
          DDI.INDEPTH.MW011.CMD2012.v2
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="London School of Hygiene and Tropical Medicine">
          Karonga Prevention Study
        </AuthEnty>
        <AuthEnty/>
        <AuthEnty/>
        <AuthEnty/>
      </rspStmt>
      <prodStmt>
        <producer abbr="KB" affiliation="INDEPTH Network" role="Data Manager">
          Keith Branson
        </producer>
        <producer abbr="KPS" affiliation="LSHTM" role="agency">
          Karonga Prevention Study
        </producer>
        <producer abbr="INDEPTH" affiliation="INDEPTH Network" role="agency">
          INDEPTH Network
        </producer>
        <producer abbr="isTT" affiliation="INDEPTH Network" role="Technical Support">
          iSHARE2 Technical Team
        </producer>
        <prodDate date="2015-07-27">
          2015-07-27
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[CMD2012.v1
CMD2012.v2]]>
        </version>
        <notes>
          <![CDATA[CMD2012.v1 - 2015-06-09 Second IDEPTH micro dataset documentation
CMD2012.v2 - 2015-07-27 New Copyright statment added]]>
        </notes>
      </verStmt>
      <holdings URI="www.indepth.ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Karonga HDSS INDEPTH Core Dataset 2003 - 2012 Release 2015
        </titl>
        <IDNo>
          INDEPTH.MW011.CMD2012.v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Karonga Prevention Study">
          Menard Chihana
        </AuthEnty>
        <AuthEnty affiliation="London School of Hygiene and Tropical Medicine">
          Amelia C. Crampin
        </AuthEnty>
        <othId role="Data Manager" affiliation="London School of Hygiene and Tropical Medicine">
          <p>
            Keith Branson
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="KPS" affiliation="London School of Hygiene and Tropical Medicine" role="Original producer">
          Karonga Prevention Study
        </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 role="All stages of data production process">
          Wellcome Trust
        </fundAg>
      </prodStmt>
      <distStmt>
        <distrbtr abbr="KPS" affiliation="London School of Hygiene and Tropical Medicine">
          Karonga Prevention Study
        </distrbtr>
        <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>
          <![CDATA[Base line 2002-2004
round 1-8 (2004-2013)
Demographic survellance of a continous registartion system]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2015-06-09">
          <![CDATA[1.v1: First version for internal use
CMD2012.V1: Edited dataset for public distribution]]>
        </version>
        <notes>
          Devloped in Ishare2 workshop Dubai 2015
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Demography,
        </keyword>
        <keyword>
          Census,
        </keyword>
        <keyword>
          Vital statistics,
        </keyword>
        <keyword>
          Mortality
        </keyword>
        <keyword>
          Population dynamics
        </keyword>
        <keyword>
          Life expectancy
        </keyword>
        <keyword>
          Malawi
        </keyword>
        <keyword>
          Sub-Saharan Africa
        </keyword>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Demography [N01.224]
        </topcClas>
      </subject>
      <abstract>
        The Karonga Health and Demographic Surveillance System (Karonga HDSS) in northern Malawi currently has a population of more than 35 000 individuals under continuous demographic surveillance since completion of a baseline census (2002-2004). The surveillance system collects data on vital events and migration for individuals and for households. It also provides data on cause-specific mortality obtained by verbal autopsy for all age groups, and estimates rates of disease for specific presentations via linkage to clinical facility data. The Karonga HDSS provides a structure for surveys of socio-economic status, HIV zero-prevalence and incidence, sexual behavior, fertility intentions and a sampling frame for other studies, as well as evaluating the impact of interventions, such as antiretroviral therapy and vaccination programs. Uniquely, it relies on a network of village informants to report vital events and household moves, and furthermore is linked to an archive of biological samples and data from population surveys and other studies dating back three decades.
      </abstract>
      <sumDscr>
        <timePrd date="2003-01-01" event="start" cycle="Yearly after baseline"/>
        <timePrd date="2012-12-31" event="end" cycle="Yearly after baseline"/>
        <collDate date="2002-09-01" event="start" cycle="Baseline"/>
        <collDate date="2004-06-30" event="end" cycle="Baseline"/>
        <collDate date="2004-07-01" event="start" cycle="Round 1"/>
        <collDate date="2005-06-30" event="end" cycle="Round 1"/>
        <collDate date="2005-07-01" event="start" cycle="Round 2"/>
        <collDate date="2006-06-30" event="end" cycle="Round 2"/>
        <collDate date="2006-07-01" event="start" cycle="Round 3"/>
        <collDate date="2007-06-30" event="end" cycle="Round 3"/>
        <collDate date="2007-07-01" event="start" cycle="Round 4"/>
        <collDate date="2008-06-30" event="end" cycle="Round 4"/>
        <collDate date="2008-07-01" event="start" cycle="Round 5"/>
        <collDate date="2009-06-30" event="end" cycle="Round 5"/>
        <collDate date="2009-07-01" event="start" cycle="Round 6"/>
        <collDate date="2010-06-30" event="end" cycle="Round 6"/>
        <collDate date="2010-07-01" event="start" cycle="Round 7"/>
        <collDate date="2011-06-30" event="end" cycle="Round 7"/>
        <collDate date="2011-07-01" event="start" cycle="Round 8"/>
        <collDate date="2012-06-30" event="end" cycle="Round 8"/>
        <nation abbr="MW">
          Malawi
        </nation>
        <geogCover>
          The Karonga HDSS surrounds the port village of Chilumba, on Lake Malawi, in the southern part of Karonga District . The surveillance area is located between latitudes 10.388 and 10.508S and longitudes 34.088 and 34.278E, covering an area of approximately 135 km2. The lake shore and the Nyika National Park form the boundaries to the east and west, respectively, whereas the boundaries to the north and south are delineated by village boundaries
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          <![CDATA[The DSS covers all the individuals  of all age who are members of households and are residents within the geographical boundaries of the study area. Visitors too were captured in the baseline survey.
Of the 36,783 individuals under observation, at the end of 2012, the last year through which this data covers, 48% (17,715/36,783) were male and  52% where female (19,068/36,783) , 20% (7542/36,783) were under 5 years and 50% (18 396/ 36,783) were under 15 years of age. In all, 44% (16 277/36 783) of the population were aged between 15 and 59 years, and 6% (2160/36,783) were aged 60 years and above. The majority of the population  under surveillance are rural dwellers that depend on subsistence farming and fish from the lake as a source of their livelihood.]]>
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <timeMeth>
          Monthly recording of births and deaths, continuous recording of opportunistic events and a yearly census to record all demographic events including individual and whole household movements.
        </timeMeth>
        <frequenc>
          Yearly
        </frequenc>
        <sampProc>
          The whole population
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </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>
          NA
        </weight>
        <cleanOps>
          Data was left censored to 1 Jan 2003 to account for the start-up phase of the surveillance.
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <dataAppr>
          <![CDATA[CentreId	MetricTable	QMetric	   Illegal	Legal	Total	Metric	RunDate
MW011	MicroDataCleaned	Starts	 	59822	 	 	2015-06-08 15:17	
MW011	MicroDataCleaned	Transitions   0	188967	188967	0.	2015-06-08 15:18	
MW011	MicroDataCleaned	Ends	 	59822	 	 	2015-06-08 15:18]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Karonga (MW011)
        </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" URI="http://indepth-ishare.org" email="help-data@indepth-network.org">
          iSHARE2 Help desk
        </contact>
        <citReq>
          Karonga HDSS INDEPTH Core Dataset 2003 - 2012 Release 2015. Provided by the INDEPTH Network Data Repository. www.indepth-network.org &lt;http://www.indepth-network.org&gt;. doi:10.7796/INDEPTH.MW011.CMD2012.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>
    <othrStdyMat>
      <relMat>
        <![CDATA[The Karonga Health and Demographic Surveillance System (Karonga HDSS) in northern Malawi currently has a population of more than 35 000 individuals under continuous demographic surveillance since completion of a baseline census (2002–2004). The surveillance system collects data on vital events and migration for individuals and for households. It also provides data on cause-specific mortality obtained by verbal autopsy for all age groups, and estimates rates of disease for specific presentations via linkage to clinical facility data. The Karonga
HDSS provides a structure for surveys of socio-economic status, HIV sero prevalence and incidence, sexual behaviour, fertility intentions and a sampling frame for other studies, as well as evaluating the impact of interventions, such as antiretroviral therapy and vaccination programmes. Uniquely, it relies on a network of village informants to report vital events and household moves, and furthermore is linked to an archive of biological samples and data from population surveys and other studies dating back three decades.]]>
        <citation>
          <titlStmt>
            <titl>
              Profile: The Karonga health and demographic
            </titl>
          </titlStmt>
          <holdings URI="http://ije.oxfordjournals.org"/>
        </citation>
      </relMat>
      <relPubl>
        This paper describes and evaluates the first demographic surveillance system (DSS) in Malawi, covering a rural population of 30,000. Unlike others, the Karonga DSS relies on trained village informants using formatted registers for the primary notification of vital events and migrations. Seven project enumerators subsequently collect detailed data on events notified by the village informants, using stringent identification procedures for households and individuals. Internal movements are traced systematically to augment event registration and data quality. Continuous evaluation of data collection is built into the methods. A re-census conducted after 2 years indicated that the routine system had registered 97% of 1,588 births, 99% of 521 deaths and 92% of 13,168 movements.
        <citation>
          <titlStmt>
            <titl>
              Evaluation of a village-informant driven demographic surveillance system in Karonga, Northern Malawi.
            </titl>
          </titlStmt>
          <holdings URI="http://www.demographic-research.org/Volumes/Vol16/8/"/>
        </citation>
      </relPubl>
    </othrStdyMat>
  </stdyDscr>
  <fileDscr ID="F1" URI="DDI.INDEPTH.MW011.CMD2012.v1.Nesstar?Index=0&amp;Name=MW011.CMD2012.v1">
    <fileTxt>
      <fileName>
        MW011.CMD2012.v1.NSDstat
      </fileName>
      <fileCont>
        Event HistoryDataset
      </fileCont>
      <dimensns>
        <caseQnty>
          224331
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <dataChck>
        <![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]]>
      </dataChck>
      <verStmt>
        <version>
          CMD2012.v1
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
cb0467fda02056baa98f140c560cac98]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Centre Related Variables
      </labl>
      <txt>
        <![CDATA[The  group has identifiers for country and centre]]>
      </txt>
    </varGrp>
    <varGrp ID="VG2" type="subject" var="V4 V5 V6 V7">
      <labl>
        Individual related variables
      </labl>
      <txt>
        The group has identifiers for individuals
      </txt>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V1 V8 V9 V10 V11 V12" varGrp="VG5">
      <labl>
        Event Related Variables
      </labl>
      <txt>
        This group has event related variables
      </txt>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V13 V14">
      <labl>
        Birth Related Variables
      </labl>
      <txt>
        The group contains Birth(BTH) related variables
      </txt>
    </varGrp>
    <var ID="V1" name="RecNr" files="F1" dcml="0" intrvl="contin">
      <labl>
        RecNr
      </labl>
      <valrng>
        <range min="1" max="192239"/>
      </valrng>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        224331
      </sumStat>
      <sumStat type="mean">
        112166
      </sumStat>
      <sumStat type="stdev">
        64758.926
      </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">
      <labl>
        CountryId
      </labl>
      <valrng>
        <range min="454" max="454"/>
      </valrng>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country in which the surevellance site is situated
      </txt>
      <catgry>
        <catValu>
          454
        </catValu>
        <catStat type="freq">
          224331
        </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">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[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>
      <catgry>
        <catValu>
          MW011
        </catValu>
        <catStat type="freq">
          224331
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="contin">
      <labl>
        IndividualId
      </labl>
      <valrng>
        <range min="1" max="60235"/>
      </valrng>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        59833
      </sumStat>
      <sumStat type="mean">
        35163.807
      </sumStat>
      <sumStat type="stdev">
        17705.613
      </sumStat>
      <txt>
        A number uniquley idenfying all the records beloning to a specific individual in the data file. This number is not the same as the idetifier used by contributing centre to identify the individual.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="Sex" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex
      </labl>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sex of 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">
          96578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          127753
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <location width="23" RecSegNo="1"/>
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="min">
        1905-06-15
      </sumStat>
      <sumStat type="max">
        2012-12-31
      </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">
      <labl>
        EventCount
      </labl>
      <valrng>
        <range min="2" max="22"/>
      </valrng>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[The total number of events  associated with the individual in this dataset]]>
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          39586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          50517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          34400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          23255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          23370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          12740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          13768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          6633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          7090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          3146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          3516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="EventNr" files="F1" dcml="0" intrvl="contin">
      <labl>
        EventNr
      </labl>
      <valrng>
        <range min="1" max="22"/>
      </valrng>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        27
      </sumStat>
      <sumStat type="mean">
        3.009
      </sumStat>
      <sumStat type="stdev">
        2.239
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occurence
      </txt>
      <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">
        224331
      </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>
        <txt>
          The birth of an individual to a resident female
        </txt>
        <catStat type="freq">
          12866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          12913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          2674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Location entrance
        </labl>
        <catStat type="freq">
          27838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <txt>
          <![CDATA[Starting event for all individuals present at the baseline census of
the surveillance area. It is the date on which the individual was
first observed to be present in the surveillance area during the
baseline census]]>
        </txt>
        <catStat type="freq">
          28913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Location exit
        </labl>
        <txt>
          The event of migrating out of the surveillance area
        </txt>
        <catStat type="freq">
          27915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          In-migration
        </labl>
        <txt>
          The event of migrating into the surveillance area
        </txt>
        <catStat type="freq">
          24582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation end
        </labl>
        <catStat type="freq">
          59774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Last Observation
        </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">
          26856
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <location width="23" RecSegNo="1"/>
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="min">
        2003-01-01
      </sumStat>
      <sumStat type="max">
        2013-01-01
      </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 width="23" RecSegNo="1"/>
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="min">
        2002-07-06
      </sumStat>
      <sumStat type="max">
        2015-01-27
      </sumStat>
      <txt>
        <![CDATA[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">
      <labl>
        LocationId
      </labl>
      <valrng>
        <range min="1" max="14463"/>
      </valrng>
      <sumStat type="vald">
        224331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15773
      </sumStat>
      <sumStat type="mean">
        6988.116
      </sumStat>
      <sumStat type="stdev">
        4185.024
      </sumStat>
      <txt>
        <![CDATA[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. For data anonymization purposes, this identifier should not be the
same as the identifier used internally by the contributing centre, but the contributing centre should retain a mapping of this identifier to their internal location identifier]]>
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="MotherId" files="F1" dcml="0" intrvl="contin">
      <labl>
        MotherId
      </labl>
      <valrng>
        <range min="13" max="25530"/>
      </valrng>
      <sumStat type="vald">
        25530
      </sumStat>
      <sumStat type="invd">
        198801
      </sumStat>
      <sumStat type="min">
        13
      </sumStat>
      <sumStat type="max">
        59822
      </sumStat>
      <sumStat type="mean">
        33281.319
      </sumStat>
      <sumStat type="stdev">
        15589.784
      </sumStat>
      <txt>
        The IndividualId of the mother. Only provided for BTH event
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="DeliveryId" files="F1" dcml="0" intrvl="discrete">
      <labl>
        DeliveryId
      </labl>
      <valrng>
        <range min="1" max="6"/>
      </valrng>
      <sumStat type="vald">
        25530
      </sumStat>
      <sumStat type="invd">
        198801
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
