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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Nanoro HDSS INDEPTH Core Dataset 2009-2013 (Released 2016)
        </titl>
        <IDNo>
          DDI.INDEPTH.BF021.CMD2013.V2
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="CRUN">
          DERRA Karim
        </AuthEnty>
        <AuthEnty affiliation="CRUN">
          ROUAMBA Eli
        </AuthEnty>
        <AuthEnty affiliation="CRUN">
          KAZIENGA Adama
        </AuthEnty>
        <AuthEnty affiliation="CRUN">
          OUEDRAOGO Sayouba
        </AuthEnty>
        <AuthEnty affiliation="IRSS - CENTRE MURAZ">
          TINTO Halidou
        </AuthEnty>
        <AuthEnty affiliation="IRSS - CENTRE MURAZ">
          VALEA Innocent
        </AuthEnty>
        <AuthEnty affiliation="IRSS ">
          TAHITA Marc
        </AuthEnty>
        <AuthEnty affiliation="IRSS ">
          SORGHO Hermann
        </AuthEnty>
        <othId role="SUPERVISOR" affiliation="CRUN">
          <p>
            KAFANDO Hyacinthe
          </p>
        </othId>
        <othId role="SUPERVISOR" affiliation="CRUN">
          <p>
            PODA Guy
          </p>
        </othId>
        <othId role="SUPERVISOR" affiliation="CRUN">
          <p>
            KABORE Lionel
          </p>
        </othId>
        <othId role="SUPERVISOR" affiliation="CRUN">
          <p>
            KOALA Alain
          </p>
        </othId>
      </rspStmt>
      <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="NHDSS" affiliation="IRSS" role="agency">
          Nanoro HDSS
        </producer>
        <producer abbr="KD" affiliation="CRUN-IRSS" role="DDI Author">
          Karim Derra
        </producer>
        <prodDate date="2016-06-30">
          2016-06-30
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[CMD2013.v1: 2016-05-13
CMD2013.v2: 2016-06-30]]>
        </version>
        <notes>
          <![CDATA[CMD2013.v1: Initial version for internal use
CMD2013.v2: Updated version for public release]]>
        </notes>
      </verStmt>
      <holdings URI="www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Nanoro HDSS INDEPTH Core Dataset 2009-2013 (Released 2016)
        </titl>
        <IDNo>
          INDEPTH.BF021.CMD2013.v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="IRSS- Centre Muraz">
          TINTO Halidou
        </AuthEnty>
        <AuthEnty affiliation="CRUN">
          DERRA Karim
        </AuthEnty>
        <AuthEnty affiliation="IRSS- Centre Muraz">
          VALEA Innocent
        </AuthEnty>
        <AuthEnty affiliation="CRUN">
          TAHITA Marc
        </AuthEnty>
        <AuthEnty affiliation="CRUN">
          ROUAMBA Eli
        </AuthEnty>
        <AuthEnty affiliation="CRUN">
          OUEDRAOGO Sayouba
        </AuthEnty>
        <othId affiliation="CRUN">
          <p>
            Field Team
          </p>
        </othId>
        <othId affiliation="CRUN">
          <p>
            Data Clerks
          </p>
        </othId>
        <othId>
          <p>
            Nanoro Community and their Chiefs
          </p>
        </othId>
        <othId>
          <p>
            Nanoro Health District and Adminatratrive Autorities
          </p>
        </othId>
        <othId affiliation="ITM - Antwerp">
          <p>
            Institute of Tropical Medecine, Belgium
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer role="Data Manager upto December 2015">
          KAZIENGA Adama
        </producer>
        <producer affiliation="CRUN" role="Data Manager from April 2016">
          HIEN S. Franck
        </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="MCTA">
          Malaria Clinical Trials Alliance
        </fundAg>
        <fundAg abbr="MVI">
          Malaria Vaccine Initiative
        </fundAg>
        <fundAg abbr="EDCTP">
          European and Developing Clinical Trial Partnership
        </fundAg>
        <fundAg abbr="FP(7)">
          European Union
        </fundAg>
        <fundAg abbr="MiP Consortium">
          MALARIA IN PREGNANCY CONSORTIUM (GATES FONDATION)
        </fundAg>
        <fundAg abbr="NIH">
          National Institute of Health
        </fundAg>
        <fundAg abbr="WHO/TDR">
          WHO/TROPICAL DISEASE RESEARCH
        </fundAg>
        <fundAg abbr="BC">
          BELGIUM CORPORATION (FRAMEWORK AGREEMENT 3 WITH ITM ANTWERP,BELGIUM)
        </fundAg>
        <fundAg>
          PHARMACEUTICAL COMPANIES (GSK, SANOFI AVENTIS, SIGMA TAU, NOVARTIS)
        </fundAg>
        <fundAg abbr="INDEPTH NETWORK">
          INDEPTH NETWORK
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH Network" URI="http://www.indepth-ishare.org/index.php/feedback" email="help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          Round 1 to 13 of demographic surveillance from 2009 to 2013
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2016-05-22">
          CMD2013.v1: Edited dataset for public distribution
        </version>
        <notes>
          <![CDATA[Developed duriing  iShare2 refresher workshop]]>
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Fertility
        </keyword>
        <keyword>
          Mortality
        </keyword>
        <keyword>
          Migration
        </keyword>
        <keyword>
          Population
        </keyword>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Demography [N01.224]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[CLINICAL RESEARCH UNIT OF NANORO, NANORO HDSS PROFILE The Nanoro Health and Demographic Surveillance System (HDSS) was established in 2009 by the Clinical Research Unit of Nanoro – Institut de Recherche en Sciences de la Santé (IRSS-CRUN) with the aim of providing a core framework for clinical trials and also to support the Burkina Faso health authorities in generating epidemiological data that can contribute to the setup and assessment of health interventions. This is achieved by providing an excellent platform for generating epidemiological data fully compliant with international standards. The site activities are currently oriented towards the research (drugs and vaccines) on diseases of public health importance with a specific focus on  malaria.

Nanoro is a rural area located in the Centre-West of the country, at approximately 85 Km from the capital city, Ouagadougou. The HDSS area lies between longitudes 1°92537 and 2°3146 W and latitudes 12°57955 and 12°72863 N and covers 24 villages which represents a surface of 594.3 Km2 (~36% of the Nanoro Health District area). In this area, health care is provided by seven peripheral health posts and one referral hospital. Nanaro HDSS is in the Sudano–Sahelian climate which has two main seasons: a rainy season from June to October (average rainfall of 450–700 mm/year, average temperature >30ºC) followed by a dry season from November to May (the temperature may vary from 17ºC in December to a maximum of 43ºC in April). 

The population under surveillance is about 63 395 residents (in 2011) with a majority of illiterate people. They are subsistence farmers, cattle-keepers and housewives. The main ethnic groups are Mossi, Gourounsi and Fulani.]]>
      </abstract>
      <sumDscr>
        <timePrd date="2009-03-19" event="start" cycle="0"/>
        <timePrd date="2009-04-30" event="end" cycle="0"/>
        <timePrd date="2009-08-31" event="start" cycle="1"/>
        <timePrd date="2009-12-31" event="end" cycle="1"/>
        <timePrd date="2010-01-01" event="start" cycle="2"/>
        <timePrd date="2010-04-30" event="end" cycle="2"/>
        <timePrd date="2010-05-01" event="start" cycle="3"/>
        <timePrd date="2010-08-31" event="end" cycle="3"/>
        <timePrd date="2010-09-01" event="start" cycle="4"/>
        <timePrd date="2010-12-31" event="end" cycle="4"/>
        <timePrd date="2011-01-01" event="start" cycle="5"/>
        <timePrd date="2011-04-30" event="end" cycle="5"/>
        <timePrd date="2011-05-01" event="start" cycle="6"/>
        <timePrd date="2011-08-31" event="end" cycle="6"/>
        <timePrd date="2011-09-20" event="start" cycle="7"/>
        <timePrd date="2011-12-20" event="end" cycle="7"/>
        <timePrd date="2012-01-01" event="start" cycle="8"/>
        <timePrd date="2012-04-30" event="end" cycle="8"/>
        <timePrd date="2012-09-14" event="start" cycle="9"/>
        <timePrd date="2013-02-02" event="end" cycle="9"/>
        <timePrd date="2013-02-01" event="start" cycle="10"/>
        <timePrd date="2013-05-10" event="end" cycle="10"/>
        <timePrd date="2013-05-27" event="start" cycle="11"/>
        <timePrd date="2013-10-10" event="end" cycle="11"/>
        <timePrd date="2013-10-01" event="start" cycle="12"/>
        <timePrd date="2014-02-28" event="end" cycle="12"/>
        <collDate date="2009-03-19" event="start" cycle="Release Coverage"/>
        <collDate date="2013-12-31" event="end" cycle="Release Coverage"/>
        <nation abbr="BF">
          BURKINA FASO
        </nation>
        <geogCover>
          Nanoro is a rural area located in the Centre-West of the country, at approximately 85 Km from the capital city, Ouagadougou. The HDSS area lies between longitudes 1°92537 and 2°3146 W and latitudes 12°57955 and 12°72863 N and covers 24 villages which represents a surface of 594.3 Km2 (~36% of the Nanoro Health District area). In this area, health care is provided by seven peripheral health posts and one referral hospital.
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          All individual resident in the HDSS
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <timeMeth>
          This dataset contains data collected from 19th Mars 2009 to 31th December 2011
        </timeMeth>
        <dataCollector affiliation="CRUN">
          Coordinators
        </dataCollector>
        <dataCollector affiliation="CRUN">
          Field Supervisors
        </dataCollector>
        <dataCollector affiliation="CRUN">
          Field Workers
        </dataCollector>
        <dataCollector affiliation="CRUN">
          Community Key Informants
        </dataCollector>
        <frequenc>
          3 round for year
        </frequenc>
        <sampProc>
          No sampling is done
        </sampProc>
        <deviat>
          Not Applicable
        </deviat>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          The questionnairesaredesigned by the Demographer in collaboration with the other member of the HDSS team. It's contains the household questionnaire, the compound questionnaire and all the events forms needed for the data capture concerning the events (marriage, pregnancy, birth, in/out-migration,death, verbal autopsy…)which must be registered during the round. After the validation of the questionnaires, the data management team make the copy of each questionnaire for the field team. Then, they print the household register by cluster for the field teambefore starting the next round.The data are collected by FW and controlled by FS.
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[Nanoro HDSS use paper based collection during the initial census and the different rounds. The field team  is composed  by a Demographer, a Geographer, Field Supervisors (FS),Field workers (FW), and Community key informants. The Demographic Surveillance area is divided into four part belong to each FSwith two or three FW in his charge. All the compoundsinthe HDSS were numbered with and unique code and geocoded. These data were entered into a geographic information system (GIS) before to the start of surveillance.

During data capture, if some inconsistency checks is found due to the system that is used for data entry who is HRS2, the questionnaire is send back to the FS. The FS will correct the questionnaire and then send back to the data entry team.]]>
        </collSitu>
        <actMin>
          <![CDATA[The FS visit is done in order to ensure the quality of data collectedby the FW. For that, they select a sample of household and make his own update and then compare to the update of these household by the FW. During avisit, the FSlistens and observes as the FW conducts the interviews without interrupting. The FSuses a checklist to write observations and comments for feedback and further training.

After data collection and before data entry, the FSchecks questionnaires for completeness, consistency and accuracy. If a questionnaire failed to meet the quality standard requirements, the FSsend back the questionnaires to the FW for correction on the field. After these corrections the FS send the household register to the field coordinator who make a checks on the questionnaire before sending to the data entry team.]]>
        </actMin>
        <weight>
          Not Applicable
        </weight>
        <cleanOps>
          The forms are controlled by supervisor before moving for data entry
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <respRate>
          No refusals
        </respRate>
        <dataAppr>
          <![CDATA[CentreId	MetricTable	QMetric	Illegal	Legal	Total	Metric	RunDate	
BF021	MicroDataCleaned	Starts		94403			2016-05-21 16:04	
BF021	MicroDataCleaned	Transitions	224478	224478		2016-05-21 16:04	
BF021	MicroDataCleaned	Ends		94403			2016-05-21 16:04	
BF021	MicroDataCleaned	SexValues	224478			2016-05-21 16:04	
BF021	MicroDataCleaned	DoBValues	224478			2016-05-21 16:04]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Nanoro (BF021)
        </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-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:

"Nanoro HDSS INDEPTH Core Dataset 2009-2013 (Released 2016) Release July 2016. Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. doi:10.7796/INDEPTH.BF021.CMD2013.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="F3" URI="DDI.INDEPTH.BF021.CMD2013.v2.Nesstar?Index=0&amp;Name=BF021.CMD2013.v1">
    <fileTxt>
      <fileName>
        BF021.CMD2013.v1.NSDstat
      </fileName>
      <dimensns>
        <caseQnty>
          237870
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <verStmt>
        <version>
          CMD2013.V1
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
d52e812999b60b75f7356c6854b52642]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG4" type="subject" var="V125 V126">
      <labl>
        Centre Related Variables
      </labl>
      <txt>
        <![CDATA[This group has identifiers  for country and center]]>
      </txt>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V127 V128 V129">
      <labl>
        Individual Related Variables
      </labl>
    </varGrp>
    <varGrp ID="VG6" type="subject" var="V124 V130 V131 V132 V133 V134 V135" varGrp="VG7">
      <labl>
        Event Related Variables
      </labl>
    </varGrp>
    <varGrp ID="VG7" type="subject" var="V124 V136 V137">
      <labl>
        Birth Related Variables
      </labl>
      <txt>
        This group contains Birth (BTH) related variables
      </txt>
    </varGrp>
    <var ID="V124" name="RecNr" files="F3" dcml="0" intrvl="contin">
      <labl>
        RecNr
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      </valrng>
      <sumStat type="vald">
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      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
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      </sumStat>
      <sumStat type="mean">
        118935.5
      </sumStat>
      <sumStat type="stdev">
        68667.299
      </sumStat>
      <txt>
        A sequential number uniquely identifying each record in the data file
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="CountryId" files="F3" dcml="0" intrvl="discrete">
      <labl>
        CountryId
      </labl>
      <valrng>
        <range UNITS="REAL" min="231" max="231"/>
      </valrng>
      <sumStat type="vald">
        237870
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country where the surveillance site is situated
      </txt>
      <catgry>
        <catValu>
          231
        </catValu>
        <catStat type="freq">
          237870
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="CentreId" files="F3" intrvl="discrete">
      <location width="5"/>
      <labl>
        CentreId
      </labl>
      <sumStat type="vald">
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      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        An identifier issued by INDEPTH to each member centre of the format CCNNS, Where CCNNS is the INDEPTH Member site code, constructed as follows:- CC the ISO 3166-1 alpha-2 code of the country where the site is situated- NN is a sequential number uniquely identifying an INDEPTH member centre within the country. Starting with 01 to 99, for a maximum of 99 centres per country-S is a sequential character uniquely identifying the geographical surveillance site. Starting with 1 to 9, thereafter A to Z, for a maximum of 35 sites per centre
      </txt>
      <catgry>
        <catValu>
          BF021
        </catValu>
        <catStat type="freq">
          237870
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V127" name="IndividualId" files="F3" dcml="0" intrvl="contin">
      <labl>
        IndividualId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="94442"/>
      </valrng>
      <sumStat type="vald">
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      <sumStat type="invd">
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      <sumStat type="min">
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      <sumStat type="max">
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      </sumStat>
      <sumStat type="mean">
        47279.481
      </sumStat>
      <sumStat type="stdev">
        27268.491
      </sumStat>
      <txt>
        A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not the same as the identifier used by a contributing centre to be identify the individual
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V128" name="Sex" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        237870
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Sex of the individual
1=Male
2=Female]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unknown
        </labl>
        <catStat type="freq">
          0
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      <catgry>
        <catValu>
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        <labl>
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        <catStat type="freq">
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      <catgry>
        <catValu>
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        </catValu>
        <labl>
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        <catStat type="freq">
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        </catStat>
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      <varFormat type="numeric" schema="other"/>
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    <var ID="V129" name="DoB" files="F3" intrvl="discrete">
      <labl>
        DoB
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      <sumStat type="vald">
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      <sumStat type="min">
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      <sumStat type="max">
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      </sumStat>
      <txt>
        The date of birth of the individual Format YYYY-MM-DD
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      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
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    <var ID="V130" name="EventCount" files="F3" dcml="0" intrvl="discrete">
      <labl>
        EventCount
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      <valrng>
        <range UNITS="REAL" min="2" max="12"/>
      </valrng>
      <sumStat type="vald">
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      </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">
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        </catStat>
      </catgry>
      <catgry>
        <catValu>
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        <catStat type="freq">
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      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          42940
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      <catgry>
        <catValu>
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        <catStat type="freq">
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      <catgry>
        <catValu>
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        <catStat type="freq">
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      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="EventNr" files="F3" dcml="0" intrvl="discrete">
      <labl>
        EventNr
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        237870
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occurred
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          86088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          86088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          42729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          15543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          4808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="EventCode" files="F3" intrvl="discrete">
      <location width="3"/>
      <labl>
        EventCode
      </labl>
      <sumStat type="vald">
        237870
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code which identifies the type of event that has occurred
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <catStat type="freq">
          9532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <catStat type="freq">
          9263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <catStat type="freq">
          2037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <catStat type="freq">
          12115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <catStat type="freq">
          54822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <catStat type="freq">
          13616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <catStat type="freq">
          24130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <catStat type="freq">
          86088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OMG
        </catValu>
        <catStat type="freq">
          26265
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V133" name="EventDate" files="F3" intrvl="discrete">
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        237870
      </sumStat>
      <sumStat type="min">
        2009-03-19
      </sumStat>
      <sumStat type="max">
        2014-01-01
      </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="V134" name="ObservationDate" files="F3" intrvl="discrete">
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        237862
      </sumStat>
      <sumStat type="min">
        2015-06-16
      </sumStat>
      <sumStat type="max">
        2016-04-19
      </sumStat>
      <txt>
        Date on which the event was observed (recorded), also known as surveillance visit date Format YYYY-MM-DD
      </txt>
      <catgry>
        <catValu>
          2015-06-16
        </catValu>
        <catStat type="freq">
          236211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-06-26
        </catValu>
        <catStat type="freq">
          384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-06-29
        </catValu>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-07-02
        </catValu>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-07-08
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-11-07
        </catValu>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-11-08
        </catValu>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-11-09
        </catValu>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-11-13
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-11-17
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-11-20
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-11-21
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-01
        </catValu>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-03
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-04
        </catValu>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-08
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-09
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-10
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-11
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-15
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-17
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-18
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-23
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-24
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015-12-31
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-02
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-07
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-08
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-09
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-14
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-15
        </catValu>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-17
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-20
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-21
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-22
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-27
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-28
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-29
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-01-30
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-03
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-05
        </catValu>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-10
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-12
        </catValu>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-17
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-19
        </catValu>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-24
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-26
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-02-29
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-04
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-05
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-07
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-10
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-11
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-16
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-18
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-22
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-23
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-25
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-03-29
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-01
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-05
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-07
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-08
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-10
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-11
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-13
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-14
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-15
        </catValu>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016-04-19
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V135" name="LocationId" files="F3" dcml="0" intrvl="contin">
      <labl>
        LocationId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="5474"/>
      </valrng>
      <sumStat type="vald">
        237834
      </sumStat>
      <sumStat type="invd">
        36
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        5474
      </sumStat>
      <sumStat type="mean">
        2759.261
      </sumStat>
      <sumStat type="stdev">
        1566.991
      </sumStat>
      <txt>
        Unique identifier associated with a residence unit within the site and is the location where the individual was or became resident, when the event occurred. this identifier is not the same as the identifier used internally by the contributing centre
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="MotherId" files="F3" dcml="0" intrvl="contin">
      <labl>
        MotherId
      </labl>
      <valrng>
        <range UNITS="REAL" min="3" max="94441"/>
      </valrng>
      <sumStat type="vald">
        18795
      </sumStat>
      <sumStat type="invd">
        219075
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        94441
      </sumStat>
      <sumStat type="mean">
        47866.553
      </sumStat>
      <sumStat type="stdev">
        27211.623
      </sumStat>
      <txt>
        The individual of the mother, only provided for BTH events
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V137" name="DeliveryId" files="F3" dcml="0" intrvl="contin">
      <labl>
        DeliveryId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12246"/>
      </valrng>
      <sumStat type="vald">
        18795
      </sumStat>
      <sumStat type="invd">
        219075
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        12246
      </sumStat>
      <sumStat type="mean">
        5785.671
      </sumStat>
      <sumStat type="stdev">
        3441.283
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
