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<codeBook version="1.2.2" ID="INDEPTH.KE041.CMD2011.v3" 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>
          Mbita HDSS core Dataset 2009-2011
        </titl>
        <IDNo>
          DDI.INDEPTH.KE041.CMD2011.V7
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="Mbita, HDSS" affiliation="NUITM,KEMRI" role="Documentation of the study">
          Mbita HDSS
        </producer>
        <producer abbr="isTT" affiliation="INDEPTH Network" role="Technical support">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="int.indepth" affiliation="INDEPTH" role="agency">
          INDEPTH Network
        </producer>
        <prodDate date="2015-07-25">
          2015-07-25
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          INDEPTH.KE041.CMD2011.V7
        </version>
        <notes>
          <![CDATA[DDI.INDEPTH.KE041.CMD_2011.V1 2014-3-4 First document
DDI.INDEPTH.KE041.CMD-2011.V2 2014-3-6 Document temp updated to V5
DDI.INDEPTH.KE041.CMD-2011.V3 2014-03-07 updated MD5#INDEPTH.KE041.CMD-2011.V3
DDI.INDEPTH.KE041.CMD-2011.V4 2014-03-07 updated MD5#INDEPTH.KE041.CMD-2011.V4
DDI.INDEPTH.KE041.CMD-2011.V5 2014-03-14 updated MD5#INDEPTH.KE041.CMD-2011.V5
DDI.INDEPTH.KE041.CMD-2011.V6 2014-03-17 updated MD5#INDEPTH.KE041.CMD-2011.V6
DDI.INDEPTH.KE041.CMD2011.V7 2015-07-25 New Copyright statment added]]>
        </notes>
      </verStmt>
      <holdings URI="www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Mbita HDSS core Dataset 2009-2011
        </titl>
        <IDNo>
          INDEPTH.KE041.CMD2011.v3
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Collaborative partnership with the Kenya Medical Research Institute">
          Nagasaki University Insititute of Tropical Medicine
        </AuthEnty>
        <othId role="Data Manager" affiliation="NUITM">
          <p>
            Morris Ndemwa
          </p>
        </othId>
        <othId role="Partnership and cooperation in data collection">
          <p>
            Mbita Community
          </p>
        </othId>
        <othId role="Partnership and cooperation in data collection" affiliation="Devolved governmennt system (Homabay county)">
          <p>
            County Leadership
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer affiliation="NUITM" role="Team - Leader">
          Prof. M. Shimada
        </producer>
        <producer affiliation="NUITM-KEMRI" role="Deputy Team  Leader">
          Prof. M. Karama
        </producer>
        <producer affiliation="NUITM" role="Epidemiological Advisor">
          Prof. S. Kaneko
        </producer>
        <producer affiliation="NUITM" role="Field manager">
          Ms. S. Wanyua
        </producer>
        <producer affiliation="NUITM" role="Data Manager">
          Mr. M. Ndemwa
        </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="Financial Support">
          Government of Japan
        </fundAg>
        <fundAg abbr="NUITM" role="Project Leadership and Technical Support">
          Nagasaki University Institute of Tropical Medicine
        </fundAg>
        <fundAg abbr="KEMRI" role="Partnership affiliation and Technical Support">
          Kenya Medical Research Institute
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH Network" URI="http://www.indepth-ishare.org/index.php/howtouse" email="help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          Rounds 1 to 25
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2014-03-07">
          <![CDATA[1.v1 First version for internal use
V3:  Edited dataset for public distribution.]]>
        </version>
        <notes>
          Developed during iSHARE 2 workshop
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <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">
          Rural Population [N01.600.725]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Health [N01.400]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Socioeconomic Factors [N01.824]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Health Facilities [N02.278]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Environment and Public Health [N06]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[The Mbita Health and Demographic Surveillance System (Mbita HDSS), located on the shores of Lake Victoria in Kenya, was established in 2006. The main objective of the HDSS is to provide a platform for population-based research on relationships between diseases and socio-economic and environmental factors, and for the evaluation of disease control interventions. 
The Mbita HDSS had a population of approximately 54 014 inhabitants from 11 576 households in June 2013. Regular data are collected using personal digital assistants (PDAs) every 3 months, which includes births, pregnancies, migration events and deaths. Coordinates are taken using geographical positioning system (GPS) units to map all dwelling units during data collection. Cause of death is inferred from verbal autopsy questionnaires. In addition, other health-related data such as vaccination status, socio-economic status, water sources, acute illness and bed net distribution are collected. 
The HDSS has also provided a platform for conducting various other research activities such as entomology studies including malaria research on neglected tropical diseases, and environmental health projects which have benefited the organization as well as the HDSS community residents. Data collected are shared with the community members, health officials, local administration and other relevant organizations. Opportunities for collaboration and data sharing with the wider research community are available and those interested should contact shimadam@nagasaki-u.ac.jp <mailto:shimadam@nagasaki-u.ac.jp> or mhmdkarama@yahoo.com <mailto:mhmdkarama@yahoo.com>.]]>
      </abstract>
      <sumDscr>
        <timePrd date="2009-01-01" event="start" cycle="25"/>
        <timePrd date="2011-12-31" event="end" cycle="25"/>
        <collDate date="2008-10-14" event="start" cycle="1"/>
        <collDate date="2008-12-17" event="end" cycle="1"/>
        <collDate date="2009-01-08" event="start" cycle="2"/>
        <collDate date="2009-02-16" event="end" cycle="2"/>
        <collDate date="2009-02-17" event="start" cycle="3"/>
        <collDate date="2009-03-08" event="end" cycle="3"/>
        <collDate date="2009-03-11" event="start" cycle="4"/>
        <collDate date="2009-04-06" event="end" cycle="4"/>
        <collDate date="2009-04-09" event="start" cycle="5"/>
        <collDate date="2009-05-07" event="end" cycle="5"/>
        <collDate date="2009-05-10" event="start" cycle="6"/>
        <collDate date="2009-06-01" event="end" cycle="6"/>
        <collDate date="2009-06-05" event="start" cycle="7"/>
        <collDate date="2009-07-01" event="end" cycle="7"/>
        <collDate date="2009-07-02" event="start" cycle="8"/>
        <collDate date="2009-07-28" event="end" cycle="8"/>
        <collDate date="2009-07-30" event="start" cycle="9"/>
        <collDate date="2009-08-19" event="end" cycle="9"/>
        <collDate date="2009-08-21" event="start" cycle="10"/>
        <collDate date="2009-09-16" event="end" cycle="10"/>
        <collDate date="2009-09-18" event="start" cycle="11"/>
        <collDate date="2009-10-20" event="end" cycle="11"/>
        <collDate date="2009-10-23" event="start" cycle="12"/>
        <collDate date="2009-11-30" event="end" cycle="12"/>
        <collDate date="2009-12-02" event="start" cycle="13"/>
        <collDate date="2009-12-30" event="end" cycle="13"/>
        <collDate date="2010-01-08" event="start" cycle="14"/>
        <collDate date="2010-03-03" event="end" cycle="14"/>
        <collDate date="2010-03-05" event="start" cycle="15"/>
        <collDate date="2010-04-16" event="end" cycle="15"/>
        <collDate date="2010-04-23" event="start" cycle="16"/>
        <collDate date="2010-06-07" event="end" cycle="16"/>
        <collDate date="2010-06-10" event="start" cycle="17"/>
        <collDate date="2010-07-14" event="end" cycle="17"/>
        <collDate date="2010-07-20" event="start" cycle="18"/>
        <collDate date="2010-09-20" event="end" cycle="18"/>
        <collDate date="2010-09-22" event="start" cycle="19"/>
        <collDate date="2010-11-19" event="end" cycle="19"/>
        <collDate date="2010-11-23" event="start" cycle="20"/>
        <collDate date="2010-12-23" event="end" cycle="20"/>
        <collDate date="2011-01-12" event="start" cycle="21"/>
        <collDate date="2011-03-01" event="end" cycle="21"/>
        <collDate date="2011-03-11" event="start" cycle="22"/>
        <collDate date="2011-05-05" event="end" cycle="22"/>
        <collDate date="2011-06-02" event="start" cycle="23"/>
        <collDate date="2011-07-20" event="end" cycle="23"/>
        <collDate date="2011-09-28" event="start" cycle="24"/>
        <collDate date="2011-10-30" event="end" cycle="24"/>
        <collDate date="2011-11-01" event="start" cycle="25"/>
        <collDate date="2011-12-24" event="end" cycle="25"/>
        <nation abbr="KE">
          Kenya
        </nation>
        <geogCover>
          <![CDATA[Mbita HDSS covers part of the western Kenya near the shores of the Lake Victoria including Rusinga Island(North Part) and mainland labeled as Gembe in Gembe location(South Part).
Area coverage is about 168KM square.
The area is accessible by a ferry through the Lake victoria to the mainland of Lwanda Kotieno in Kisumu area of Kisumu County. There is also a tarmack road connection that goes through the mainland from the Homabay County to Mbita HDSS area and it is linked to the man-made bridge that links the the mainland to Rusinga Island.]]>
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          All individuals in the HDSS survey area.
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[Individual Identifiers, memid
Individuals gender, sex 
Individuals dates of birth
Events for inhabitants: migrations, deaths, pregancies and pregnacy outcomes
Individuals mothers, mother id for children born within the HDSS site
Location id, Houseid 
Family identifiers, famid
Observation date, edittime on all individual tables, edittime on death tables, edittime in the migration tables]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="Mbita, HDSS" affiliation="NUITM,KEMRI">
          Mbita HDSS
        </dataCollector>
        <frequenc>
          At-least 4 rounds per year
        </frequenc>
        <sampProc>
          N/A
        </sampProc>
        <deviat>
          N/A
        </deviat>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The questionnaire is divided into several parts. The 1st part consists of the baseline census dealing mainly with demographic information, such as compounds, household and members. The second part is made up of questions on migrations, health, diseases, causes of death, and other health and hygiene related information. 

These processes are repeated to accumulate demographic and health related information for several years.

Data collection in the field uses electronic devices pda.
These devises support field interviewers' data collection activities and execute data consistency checks with regard to questionnaire items on site.

Assumed variables of questionnaire are:
ø	information for individual identification
ø	demographic information
ø	household information
ø	migration information
ø	pregnancy information
ø              health related information
ø	vital event information

Collected data is accumulated in the field stations and sent to data management centre in the central office in nairobi, and are subjected to detail-verification check by data managers.
If inconsistent data or unverified data are detected, those data and error codes (or explanation) are sent back to the field.

Verbal Autopsy Questionaires design was made with some modifications but adapted from the recommended WHO questionnaire]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[Training of enumerators (known as filed interviewres in Mibita HDSS site) is routinely done before the start of any new round.
This is usually done to familiarize with the system updates on the programme or any additional changes that may seem necessary and necessitate smooth running of the data collection criteria or inform the enumarotors of the anychanges that they may have suggested for the smooth running of data collection process.
- Usually interview may take about 30mins to about 45mins depending on whether there were any additional questionaires added to their routine data collection method.
- Community mobilization and sensitization was first done before data collection at the baseline.
- In addition, more involvement was done to inform community leaders especially the chiefs, leaders and community heads (including policy makers) of the objectives of the HDSS programe.
- The data collection team has usually been conducted by field interviewers (FI) 17 in number guided by immediate supervisors that are named as field interviewer manager (FIM) who are 3 in number.
- Supervisory team comprising of a data manager at the field station and an asdministrator would oversee the whole process and they may seek intervention by community leaders in areas where the community may not seem intrested or refusing to accept enumaration.
- Interview is normally done in local language (Luo) or in Swahili where there find in-migrants.]]>
        </collSitu>
        <actMin>
          <![CDATA[Enumerators (field interviewers) were organized in teams per working areas and regions which they are assigned to all interviwers! 
All enumarators report to a supervisor(field interviewer manager) who is assigned about 6 enumarators and he/she is able to manage them by using an assigned motorbike to move from one working area to the other.
The field interviewer manager (supervisor) roles include the following: coordinate data collection, supplies of equipment and gadgets, coordinating with local authorities, quality assuarance report including checking empty houses/structures, conducting verbal autopsy after the mourning period has passed and following up on skipped houses which may have been skipped by enumarotors if for some reasons owners were absent or only minors were available during the visit.

The data manager at the field station was responsible for the transfer of collected data to our remote server for cleaning before synchronization of the data and backup.
The data manager would go through the quality check reports generated automatically by the system and assignes duties to field interviewer manager based on the results for updates and corrections.


Upper management from the (Nairobi) managing the core data set visited the field once every month and after every round had been completed.]]>
        </actMin>
        <weight>
          N/A
        </weight>
        <cleanOps>
          <![CDATA[Data management is conducted on PDA, Station PC and main server database. 
For quality control, several error check programmes were installed, for the following purposes: range checks, entry missing checks, inter-variable checks, consistency check between currently entered data and past data, etc. 

Data was left censored to 1 Jan 2009 to account for the start-up phase of the surveillance.]]>
        </cleanOps>
      </dataColl>
      <notes>
        <![CDATA[PDA's, the verification programmes were executed on developed programmes in the project.
Station PCs, the verification programmes were executed by Microsoft Access.
For the main server DB, the programmes were run on SQL.

After consistency check between previous corrected data, which are summarized and confirmed data about families, households and their members, the latest correct upto date data were transferred to station PC from the main server DB. 
The data was overwritten on the PDA data and used in the next round interview.
Although data on station PC and PDA are overwritten on the previous data, data on the main server DB are not overwritten, but appended and stored for future use and verification.]]>
      </notes>
      <anlyInfo>
        <respRate>
          Response rate is about 95%.
        </respRate>
        <EstSmpErr>
          N/A
        </EstSmpErr>
        <dataAppr>
          <![CDATA[CenterID = KE041
MetricTable = RawMicroData
QMetric = Starts
Illegal = 1115
Legal = 80897
Total = 82012
Metric = 1.
RunDate = 2014-03-05 12:40


CenterID = KE041
MetricTable = RawMicroData
QMetric = Transitions
Illegal = 2603
Legal = 165594
Total = 168197
Metric = 1.
RunDate = 2014-03-05 12:40


CenterID = KE041
MetricTable = RawMicroData
QMetric = Ends
Illegal = 1310
Legal = 80702
Total = 82012
Metric = 1.
RunDate = 2014-03-05 12:40


CenterID = KE041
MetricTable = RawMicroData
QMetric = SexValues
Illegal = 0
Legal = 168197
Total = 
Metric = 
RunDate = 2014-03-05 12:41


CenterID = KE041
MetricTable = RawMicroData
QMetric = DoBValues
Illegal = 218
Legal = 167979
Total = 168197
Metric = 0.
RunDate = 2014-03-05 12:41


CenterID = KE041
MetricTable = MicroDataCleaned
QMetric = Starts
Illegal = 0.
Legal = 79446
Total = 0.
Metric = 0.
RunDate = 2014-03-05 12:51


CenterID = KE041
MetricTable = MicroDataCleaned
QMetric = Transitions
Illegal = 207
Legal = 162478
Total = 162685
Metric = 0.
RunDate = 2014-03-05 12:51


CenterID = KE041
MetricTable = MicroDataCleaned
QMetric = Ends
Illegal = 0.
Legal = 79446
Total = 0.
Metric = 0.
RunDate = 2014-03-05 12:51


CenterID = KE041
MetricTable = MicroDataCleaned
QMetric = SexValues
Illegal = 0.
Legal = 162685
Total = 0.
Metric = 0.
RunDate = 2014-03-05 12:51


CenterID = KE041
MetricTable = MicroDataCleaned
QMetric = DoBValues
Illegal = 218
Legal = 162467
Total = 162685
Metric = 0.
RunDate = 2014-03-05 12:51


CenterID = KE041
MetricTable = MicroDataAnonymised
QMetric = Duplicated events
Illegal = 6748
Legal = 155937
Total = 162685
Metric = 4.
RunDate = 2014-03-05 13:02


CenterID = KE041
MetricTable = KE041_CMD_2011_v1_S01
QMetric = Temporal Integrity Violations
Illegal = 0.
Legal = 172247
Total = 172247
Metric = 0.
RunDate = 2014-03-05 13:02


CenterID = KE041
MetricTable = KE041_CMD_2011_v1_S02
QMetric = Close OMG-IMG pairs
Illegal =9
Legal = 12
Total = 21
Metric = 42
RunDate = 2014-03-05 13:03


CenterID = KE041
MetricTable = KE041_CMD_2011_v1_S02
QMetric = EXT-ENT pairs with big gap
Illegal =0
Legal = 9
Total = 9
Metric = 0.
RunDate = 2014-03-05 13:06]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Mbita (KE041)
        </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
        </contact>
        <citReq>
          <![CDATA[Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:

"The Mbita HDSS  Core Micro Data Set 2009-2011. March 2014. Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. 10.7796/INDEPTH.KE041.CMD2011.v3 <http://dx.doi.org/10.7796/INDEPTH.KE041.CMD2011.v3>"]]>
        </citReq>
        <conditions>
          <![CDATA[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. 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.KE041.CMD2011.v3.Nesstar?Index=0&amp;Name=KE041.CMD2011">
    <fileTxt>
      <fileName>
        KE041.CMD2011.NSDstat
      </fileName>
      <dimensns>
        <caseQnty>
          169211
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <dataChck>
        <![CDATA[The following processing checks are done during the ETL process.

•	If the first event is legal. Like the first event must be enumeration, birth or inmigration.
•	If the last event is legal. Like the last event must be end of observation, death or outmigration.
•	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>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
be86df85338d0af5f69254cb108dd9e5]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Center Related Variables
      </labl>
      <txt>
        This group has identifiers for country and center
      </txt>
    </varGrp>
    <varGrp ID="VG2" type="subject" var="V4 V5 V6 V7">
      <labl>
        Individual Related Variables
      </labl>
      <txt>
        This 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>
        These are event related identifiers
      </txt>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V13 V14">
      <labl>
        Birth Related Variables
      </labl>
      <txt>
        This group contains birth related variables
      </txt>
    </varGrp>
    <var ID="V1" name="RecNr" files="F1" dcml="0" intrvl="contin">
      <labl>
        RecNr
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="172247"/>
      </valrng>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        169211
      </sumStat>
      <sumStat type="mean">
        84606
      </sumStat>
      <sumStat type="stdev">
        48847.153
      </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 UNITS="REAL" min="404" max="404"/>
      </valrng>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country where the surveillance site is situated
      </txt>
      <catgry>
        <catValu>
          404
        </catValu>
        <catStat type="freq">
          169211
        </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">
        169211
      </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>
          KE041
        </catValu>
        <catStat type="freq">
          169211
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="contin">
      <labl>
        IndividualId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="79480"/>
      </valrng>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        79480
      </sumStat>
      <sumStat type="mean">
        39689.305
      </sumStat>
      <sumStat type="stdev">
        22958.851
      </sumStat>
      <txt>
        A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not the same as the identifier used by a contributing centre to be identify the individual
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="Sex" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Sex of the individual
- 0 - Unknown
- 1 - Male
- 2 - Female]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unknown
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          78666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          90545
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="min">
        1900-01-01
      </sumStat>
      <sumStat type="max">
        2013-10-30
      </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 UNITS="REAL" min="2" max="5"/>
      </valrng>
      <sumStat type="vald">
        169211
      </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">
          93132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          61416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          14080
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="EventNr" files="F1" dcml="0" intrvl="discrete">
      <labl>
        EventNr
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occured
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          70674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          70674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          24108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3
        </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">
        169211
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[A code which identifies the  type of event that has occurred]]>
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <labl>
          Births
        </labl>
        <catStat type="freq">
          4046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          3715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          1183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Entry
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <catStat type="freq">
          56406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Exit
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          Inmigration
        </labl>
        <catStat type="freq">
          10241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation enddate
        </labl>
        <catStat type="freq">
          70674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Last Observation
        </labl>
        <catStat type="freq">
          6567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBS
        </catValu>
        <labl>
          Observation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OMG
        </catValu>
        <labl>
          Outmigration
        </labl>
        <catStat type="freq">
          16361
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="min">
        2009-01-01
      </sumStat>
      <sumStat type="max">
        2012-01-01
      </sumStat>
      <txt>
        The date on which the event occured 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">
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        169211
      </sumStat>
      <sumStat type="min">
        1900-01-01
      </sumStat>
      <sumStat type="max">
        2031-12-10
      </sumStat>
      <txt>
        Date on which the event was observed (recorded), also known as surveillance visit date Format YYYY-MM-DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V12" name="LocationId" files="F1" dcml="0" intrvl="contin">
      <labl>
        LocationId
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="17889"/>
      </valrng>
      <sumStat type="vald">
        169096
      </sumStat>
      <sumStat type="invd">
        115
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        17889
      </sumStat>
      <sumStat type="mean">
        8907.624
      </sumStat>
      <sumStat type="stdev">
        5165.944
      </sumStat>
      <txt>
        Unique identifier associated with a residence unit within the site and is the location where the individual was or became resident, when the event occurred. this identifier is not the same as the identifier used internally by the contributing centre
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="MotherId" files="F1" dcml="0" intrvl="contin">
      <labl>
        MotherId
      </labl>
      <valrng>
        <range UNITS="REAL" min="7" max="79457"/>
      </valrng>
      <sumStat type="vald">
        8440
      </sumStat>
      <sumStat type="invd">
        160771
      </sumStat>
      <sumStat type="min">
        37
      </sumStat>
      <sumStat type="max">
        79466
      </sumStat>
      <sumStat type="mean">
        40044.832
      </sumStat>
      <sumStat type="stdev">
        22783.157
      </sumStat>
      <txt>
        The individual of the mother, only provided for BTH events
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="DeliveryId" files="F1" dcml="0" intrvl="contin">
      <labl>
        DeliveryId
      </labl>
      <valrng>
        <range UNITS="REAL" min="3" max="6059"/>
      </valrng>
      <sumStat type="vald">
        8440
      </sumStat>
      <sumStat type="invd">
        160771
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        6059
      </sumStat>
      <sumStat type="mean">
        3103.6
      </sumStat>
      <sumStat type="stdev">
        1774.412
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
