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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Consolidated HDSS data from 29 sub-Saharan African Sites, 1990-2018
        </titl>
        <IDNo>
          DDI.HDSS.29.SUB.SAHARAN.AFRICA.V1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="BP" affiliation="Université catholique de Louvain &amp; University of Witwatersrand" role="DDI Author">
          Bocquier, Philippe
        </producer>
        <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>
        <prodDate date="2021-03-10">
          2021-03-10
        </prodDate>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1 (March 2021)
        </version>
        <notes>
          DDI metadata description for public release
        </notes>
      </verStmt>
      <holdings URI="https://www.indepth-ishare.org/"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Consolidated HDSS data from 29 sub-Saharan African Sites, 1990-2018
        </titl>
        <IDNo>
          HDSS.29.SUB.SAHARAN.AFRICA.V1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Université catholique de Louvain &amp; University of Witwatersrand">
          Bocquier, Philippe
        </AuthEnty>
        <AuthEnty affiliation="University of Witwatersrand">
          Ginsburg, Carren
        </AuthEnty>
        <AuthEnty affiliation="Université catholique de Louvain">
          Menashe-Oren, Ashira
        </AuthEnty>
        <AuthEnty affiliation="Université catholique de Louvain">
          Compaoré, Yacouba
        </AuthEnty>
        <AuthEnty affiliation="University of Witwatersrand &amp; South African Population Research Infrastructure Network">
          Collinson, Mark
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          This dataset documentation is licensed under a Creative Common Attribution-NonCommercial 4.0 International License. This dataset is shared in terms of the data-use agreement accepted at the time of data download.
        </copyright>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact affiliation="Université catholique de Louvain" email="philippe.bocquier@uclouvain.be">
          Bocquier, Philippe
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
      </serStmt>
      <verStmt>
        <version date="2020-03-07">
          V1: Edited data for public distribution
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Longitudinal data
        </keyword>
        <keyword>
          Event history analysis
        </keyword>
        <keyword>
          Under-five mortality analysis
        </keyword>
        <topcClas vocab="[N01.224]" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Demography
        </topcClas>
        <topcClas vocab="[N01.224.935.698.489]" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Infant Mortality
        </topcClas>
        <topcClas vocab="[N01.224.935.698.150]" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Child Mortality
        </topcClas>
        <topcClas vocab="[N01.224.361.150]" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Birth Intervals
        </topcClas>
        <topcClas vocab="[N01.224.361.160]" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Birth Order
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[This dataset combines 29 HDSS data in sub-Saharan Africa to allow analysis across sites and to provide a continental prospective. Depending on the purpose of analysis, the data may be disaggregated into regions within sub-Saharan Africa or more urban sites may be analysed separately. To date this data has been used to answer the following questions:
·	What is the role of having a younger or older sibling on under-five mortality? What if the sibling dies? Or they do not live together?
·	What is the role of mother's presence on under-five mortality? Does the effect of her death differ to the effect of her non-residence?
·	Do migrants have different risks of death than permanent residents? Does this change according to duration since migration? Does this relationship vary by age?]]>
      </abstract>
      <sumDscr>
        <nation abbr="BFA">
          Burkina Faso
        </nation>
        <nation abbr="CIV">
          Côte d’Ivoire
        </nation>
        <nation abbr="GHA">
          Ghana
        </nation>
        <nation abbr="GMB">
          The Gambia
        </nation>
        <nation abbr="NGA">
          Nigeria
        </nation>
        <nation abbr="SEN">
          Senegal
        </nation>
        <nation abbr="ETH">
          Ethiopia
        </nation>
        <nation abbr="KEN">
          Kenya
        </nation>
        <nation abbr="MWI">
          Malawi
        </nation>
        <nation abbr="MOZ">
          Mozambique
        </nation>
        <nation abbr="TZA">
          Tanzania
        </nation>
        <nation abbr="UGA">
          Uganda
        </nation>
        <nation abbr="ZAF">
          South Africa
        </nation>
        <geogCover>
          HDSS sites within thirteen sub-Saharan African countries. HDSS are geographically delineated locations and data covers the entire population in those locations. Each site is of different size.
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          The data includes complete populations - that is, individuals of all ages and sexes, and their event history. The residence variable included in the dataset indicates whether the individual is considered present or not in the HDSS site.
        </universe>
        <dataKind>
          Event history data
        </dataKind>
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    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          The data from all sites are combined together and cleaned, to ensure consistency across sites. Cleaning includes correction for inconsistencies in events (such as a birth event after an out-migration), and removing individuals with important missing data (such as date of birth). Additionally, the data is prepared for event history analysis, including creating a variable of residence, and inserting five-year period events.
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <sources/>
      </dataColl>
      <notes>
        The data from all sites are combined together and cleaned, to ensure consistency across sites. Cleaning includes correction for inconsistencies in events (such as a birth event after an out-migration), and removing individuals with important missing data (such as date of birth). Additionally, the data is prepared for event history analysis, including creating a variable of residence, and inserting five-year period events.
      </notes>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          INDEPTH Network (GH001)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anonymized and no confidentiality agreement in addition to the general data use agreement is required
        </confDec>
        <contact affiliation="Université catholique de Louvain" email="philippe.bocquier@uclouvain.be">
          Bocquier, Philippe
        </contact>
        <contact affiliation="INDEPTH Network" email="data-admin@indepth-ishare.org">
          iSHARE2 HelpDesk
        </contact>
        <citReq>
          <![CDATA[Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:

"Consolidated HDSS data from 29 sub-Saharan African Sites, 1990-2018. Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. doi:10.7796/HDSS.29.SUB.SAHARAN.AFRICA.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>
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        ConsolidatedData2018_analysis.NSDstat
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          16
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      <verStmt>
        <version>
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    <notes>
      <![CDATA[MD5#:
ConsolidatedData2018_analysis.zip: 9D780E8411B0087CF0121EF523FFCE33
ConsolidatedData2018_analysis.dta: ED9F14F16E3575A1EE6E32F6C4F08EF2]]>
    </notes>
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        CountryId
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Identifier of country]]>
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      <sumStat type="vald">
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      <catgry>
        <catValu>
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          Gilgel Gibe, Ethiopia
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        <labl>
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        <catStat type="freq">
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      <catgry>
        <catValu>
          ET051
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        <labl>
          Dabat, Ethiopia
        </labl>
        <catStat type="freq">
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      <catgry>
        <catValu>
          ET061
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        <labl>
          Arba Minch, Ethiopia
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        <catStat type="freq">
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      <catgry>
        <catValu>
          GH011
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        <labl>
          Navrongo, Ghana
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        <catStat type="freq">
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      </catgry>
      <catgry>
        <catValu>
          GH021
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        <labl>
          Kintampo, Ghana
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        <catStat type="freq">
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      <catgry>
        <catValu>
          GH031
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        <labl>
          Dodowa, Ghana
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        <catStat type="freq">
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      <catgry>
        <catValu>
          GM011
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        <labl>
          Farafenni, The Gambia
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      <catgry>
        <catValu>
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          Nairobi, Kenya
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        <catStat type="freq">
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        <catValu>
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          Kombewa, Kenya
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      <catgry>
        <catValu>
          MW011
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        <labl>
          Karonga, Malawi
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        <catStat type="freq">
          385390
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      </catgry>
      <catgry>
        <catValu>
          MZ021
        </catValu>
        <labl>
          Chokwe, Mozambique
        </labl>
        <catStat type="freq">
          466065
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      </catgry>
      <catgry>
        <catValu>
          NG011
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        <labl>
          Nahuche, Nigeria
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        <catStat type="freq">
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      <catgry>
        <catValu>
          SN011
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        <labl>
          Bandafassi, Senegal
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        <catStat type="freq">
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      <catgry>
        <catValu>
          SN012
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        <labl>
          Mlomp, Senegal
        </labl>
        <catStat type="freq">
          110186
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      </catgry>
      <catgry>
        <catValu>
          SN013
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        <labl>
          Niakhar, Senegal
        </labl>
        <catStat type="freq">
          508694
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      </catgry>
      <catgry>
        <catValu>
          TZ011
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        <labl>
          Ifakara, Tanzania
        </labl>
        <catStat type="freq">
          1142983
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      <catgry>
        <catValu>
          TZ012
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        <labl>
          Rufiji, Tanzania
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        <catStat type="freq">
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      <catgry>
        <catValu>
          TZ021
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          Magu, Tanzania
        </labl>
        <catStat type="freq">
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      <catgry>
        <catValu>
          UG011
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          Iganga/Mayuge, Uganda
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        <catStat type="freq">
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      <catgry>
        <catValu>
          ZA011
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          Agincourt, South Africa
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        <catValu>
          ZA021
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          Dikgale, South Africa
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        Unique identifier of individuals within sites. This identifier is anonymised.
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      <varFormat type="numeric" schema="other"/>
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      <sumStat type="vald">
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    <var ID="V5" name="LocationId" files="F1" dcml="0" intrvl="contin">
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        Place of residence within site
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        <catStat type="freq">
          1592044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Out-migration
        </labl>
        <catStat type="freq">
          1758957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Exit
        </labl>
        <catStat type="freq">
          639603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Entry
        </labl>
        <catStat type="freq">
          627451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          191754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          End of observation
        </labl>
        <catStat type="freq">
          3928531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          562736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Period
        </labl>
        <catStat type="freq">
          3975712
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V11" name="datebeg" files="F1" intrvl="discrete">
      <labl>
        datebeg
      </labl>
      <sumStat type="vald">
        15909474
      </sumStat>
      <sumStat type="min">
        1900-01-01
      </sumStat>
      <sumStat type="max">
        2017-01-01
      </sumStat>
      <txt>
        Beginning of event, start date
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V12" name="EventDate" files="F1" intrvl="discrete">
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        15909474
      </sumStat>
      <sumStat type="min">
        1924-09-09
      </sumStat>
      <sumStat type="max">
        2017-01-01
      </sumStat>
      <txt>
        Date of event
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V13" name="residence" files="F1" dcml="0" intrvl="discrete">
      <labl>
        residence
      </labl>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        15909474
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <txt>
        Whether resident on HDSS site or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          6167282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          9742192
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="calendar_year" files="F1" dcml="0" intrvl="discrete">
      <labl>
        calendar_year
      </labl>
      <valrng>
        <range min="0" max="2015"/>
      </valrng>
      <sumStat type="vald">
        9915225
      </sumStat>
      <sumStat type="invd">
        5994249
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2015
      </sumStat>
      <txt>
        Year
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
        <catStat type="freq">
          102311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
        <catStat type="freq">
          344149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
        <catStat type="freq">
          608670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
        <catStat type="freq">
          1201629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
        <catStat type="freq">
          2310949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
        <catStat type="freq">
          3697436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
        <catStat type="freq">
          1650081
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5994249
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="calendar_day" files="F1" intrvl="discrete">
      <labl>
        calendar_day
      </labl>
      <sumStat type="vald">
        15909474
      </sumStat>
      <sumStat type="min">
        1924-09-09
      </sumStat>
      <sumStat type="max">
        2017-01-01
      </sumStat>
      <txt>
        Day
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V16" name="censor_death" files="F1" dcml="0" intrvl="discrete">
      <labl>
        censor_death
      </labl>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        9742192
      </sumStat>
      <sumStat type="invd">
        6167282
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <txt>
        Identifier of death events
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          9550438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          191754
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6167282
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
