<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="zwe-alpha-himm-1995-2016-v1" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          zwe-alpha-himm-1995-2016-v1
        </titl>
      </titlStmt>
      <prodStmt>
        <producer abbr="Manicaland" affiliation="Biomedical Research and Training Institute, Harare and Imperial College London" role="Metadata creator">
          Manicaland Centre for Public Health Research
        </producer>
        <producer abbr="ALPHA" affiliation="London School of Hygiene and Tropical Medicine" role="Metadata creator">
          Network for Analysing Longitudinal Population HIV/ AIDS data on Africa
        </producer>
        <producer affiliation="University of Cape Town" role="Metadata creator">
          DataFirst
        </producer>
        <prodDate date="2024-08-23">
          2024-08-23
        </prodDate>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          v2
        </version>
        <notes>
          <![CDATA[2.1 - edited and anonymised data for scientific  use]]>
        </notes>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          ALPHA HIV Incidence and Mortality Data
        </titl>
        <subTitl>
          Manicaland 1995-2016
        </subTitl>
        <altTitl>
          ALPHA HIMM 2002-2017
        </altTitl>
        <IDNo>
          zwe-alpha-himm-1995-2016-v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Biomedical Research and Training Institute , Harare and Imperial College London">
          Manicaland Centre for Public Health Research
        </AuthEnty>
        <AuthEnty affiliation="London School of Hygiene and Tropical Medicine">
          Network for Analysing Longitudinal Population HIV/ AIDS data on Africa
        </AuthEnty>
        <othId role="Demographer and Manicaland Centre for Public Health Research director " affiliation="Imperial College London">
          <p>
            Prof Simon Gregson
          </p>
        </othId>
        <othId role="Research Assistant/ Data Scientist" affiliation="Imperial College London">
          <p>
            Louisa Moorhouse
          </p>
        </othId>
        <othId role="Research Operations Director" affiliation="Biomedical Research and Training Institute/Imperial College London">
          <p>
            Dr Connie Nyamukapa
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer/>
        <producer/>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
        <fundAg role="Funding Agency">
          Wellcome Trust
        </fundAg>
        <fundAg role="Funding Agency">
          Bill and Melinda Gates Foundation
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="University of Cape Town" URI="www.support.data1st.org" email="support@data1st.org">
          DataFirst helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Open Population Cohort Study
        </serName>
        <serInfo>
          <![CDATA[The ALPHA (Analysing Longitudinal Population-based HIV/AIDS Data in Africa) Network is a collaboration among 10 longitudinal studies in sub-Saharan Africa.  These studies collect data on HIV infection alongside demographic, behavioural, socio-economic and clinical data from residents of the study areas.  The Network harmonises these data and conducts comparable and pooled analyses on HIV-related research questions.The ALPHA HIV Incidence and Mortality data, Manicaland is part of the international data harmonisation and analysis programme of the ALPHA network.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2022">
          Version 1: Edited, anonymised data available with restrictions
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <abstract>
        <![CDATA[The Manicaland dataset is created from harmonising longitudinal population-based demographic surveillance and repeated serological survey data collected by an Open Population Cohort Study in Manicaland, Zimbabwe. The data harmonisation is coordinated by the ALPHA Network which curates individual-level data on demographic surveillance, verbal autopsy interviews, serological and sexual behaviour surveys, and individually-linked data from HDSS and medical facilities.

The data from the Manicaland site in Zimbabwe is provided in two data files:
HIV incidence data:
This file includes data on resident study participants aged 15-49 who have had one negative HIV test and at least one subsequent HIV test done within the study for research purposes. Data may be split into multiple observations for each person to describe time spent in different residencies, different age groups and different calendar year periods.All timings are given as age at event, instead of the dates.  Dates of birth were rounded to the 15th of the month, and all other dates were offset by the same amount and the time elapsed between the rounded dates is used as the age at event.
To enable multiple imputation of seroconversion dates the times (ages) of last negative test and first positive test have been provided 
Mortality  data:
This data file was created as described here https://gatesopenresearch.org/articles/1-4]]>
      </abstract>
      <sumDscr>
        <collDate date="1998" event="start" cycle="Mortality data"/>
        <collDate date="2016" event="end" cycle="Mortality data"/>
        <collDate date="1995" event="start" cycle="Incidence data"/>
        <collDate date="2016" event="end" cycle="Incidence data"/>
        <nation abbr="zwi">
          Zimbabwe
        </nation>
        <geogCover>
          The data covers the Manicaland open population cohort study area in Manicaland, Zimbabwe
        </geogCover>
        <geogUnit>
          The lowest level of geographic aggregation in the data is Village.
        </geogUnit>
        <anlyUnit>
          Individuals
        </anlyUnit>
        <dataKind>
          Event History data
        </dataKind>
      </sumDscr>
      <notes>
        The data covers demographic surveillance and repeated serological survey data from the study site in Manicaland, Zimbabwe, collected through demographic surveillance, verbal autopsy interviews, serological and sexual behaviour surveys. Also included is data from HDSS and medical facilities.
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector affiliation="Biomedical Research and Training Institute , Harare and Imperial College London">
          Manicaland Centre for Public Health Research
        </dataCollector>
        <collMode>
          Face-to-face
        </collMode>
        <sources/>
        <collSitu>
          <![CDATA[ALPHA data are harmonised datasets from ALPHA member sites and this dataset  is from the Manicaland Prevention Study site.]]>
        </collSitu>
      </dataColl>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Karonga (MW011)
        </origArch>
      </setAvail>
      <useStmt>
        <contact affiliation="University of Cape Town" email="support@data1st.org">
          DataFirst
        </contact>
        <citReq>
          Manicaland Centre for Public Health Research and ALPHA Network. ALPHA HIV Incidence and Mortality data, Manicaland 1995-2016 [dataset]. Version 1. Manicaland and London: Manicaland Prevention Study and LSHTM [producers], 2017. Cape Town: DataFirst [distributors], 2022. DOI: https://doi.org/10.25828/1k6w-fs49
        </citReq>
        <conditions>
          Access under a Creative Commons CC-BY-NC (Attribution, Non-Commercial use only) License
        </conditions>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F5" URI="zwe-alpha-himm-1995-2016-v1.Nesstar?Index=0&amp;Name=incidence-manicaland-1995-2016">
    <fileTxt>
      <fileName>
        incidence-manicaland-1995-2016.NSDstat
      </fileName>
      <fileStrc type="relational">
        <recGrp keyvar="V54"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          26835
        </caseQnty>
        <varQnty>
          12
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Manicaland Centre for Public Health Research
      </filePlac>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F6" URI="zwe-alpha-himm-1995-2016-v1.Nesstar?Index=1&amp;Name=mortality-manicaland-1998-2016">
    <fileTxt>
      <fileName>
        mortality-manicaland-1998-2016.NSDstat
      </fileName>
      <fileStrc type="relational">
        <recGrp keyvar="V69"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          63610
        </caseQnty>
        <varQnty>
          13
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Manicaland Centre for Public Health Research
      </filePlac>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V53" name="study_name" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        Study name
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Karonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Kisesa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manicaland
        </labl>
        <catStat type="freq">
          26835
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Masaka
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Rakai
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          uMkhanyakude
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Agincourt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kisumu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Ifakara
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Nairobi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="idno" files="F5" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="12" width="10" RecSegNo="1"/>
      <labl>
        Participant ID number for sharing
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9586"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1048235496
      </sumStat>
      <sumStat type="mean">
        268181652.686
      </sumStat>
      <sumStat type="stdev">
        234169794.364
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="sex" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="13" EndPos="13" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Men
        </labl>
        <catStat type="freq">
          11028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Women
        </labl>
        <catStat type="freq">
          15807
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="fouryear" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        Calendar year, grouped in 4 years post 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          1995-99
        </labl>
        <catStat type="freq">
          3200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          2000-04
        </labl>
        <catStat type="freq">
          7881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2005-08
        </labl>
        <catStat type="freq">
          7456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          2009-12
        </labl>
        <catStat type="freq">
          8298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          2013-16
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          2017-20
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          2021-24
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="agegrp" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        Five year age group
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="18"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0-4
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          5-9
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          10-14
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          15-19
        </labl>
        <catStat type="freq">
          4901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          20-24
        </labl>
        <catStat type="freq">
          5350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          25-29
        </labl>
        <catStat type="freq">
          4517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          30-34
        </labl>
        <catStat type="freq">
          3554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          35-39
        </labl>
        <catStat type="freq">
          3117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          40-44
        </labl>
        <catStat type="freq">
          2849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          45-49
        </labl>
        <catStat type="freq">
          2547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          50-54
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          55-59
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          60-64
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          65-69
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          70-74
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          75-79
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          80-84
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          85-89
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          90+
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="timein" files="F5" dcml="0" intrvl="contin">
      <location StartPos="17" EndPos="32" width="16" RecSegNo="1"/>
      <labl>
        Start of episode (age)
      </labl>
      <valrng>
        <range UNITS="REAL" min="15" max="49.9986310746064"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        49.999
      </sumStat>
      <sumStat type="mean">
        29.179
      </sumStat>
      <sumStat type="stdev">
        9.61
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="timeout" files="F5" dcml="0" intrvl="contin">
      <location StartPos="33" EndPos="48" width="16" RecSegNo="1"/>
      <labl>
        End of episode (age)
      </labl>
      <valrng>
        <range UNITS="REAL" min="15.0006844626968" max="50"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15.001
      </sumStat>
      <sumStat type="max">
        50
      </sumStat>
      <sumStat type="mean">
        30.811
      </sumStat>
      <sumStat type="stdev">
        9.724
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="fail" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Seroconversion occurred at the end of this episode
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          26294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          541
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="t0" files="F5" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="65" width="16" RecSegNo="1"/>
      <labl>
        Stata variable: age at start of episode
      </labl>
      <valrng>
        <range UNITS="REAL" min="15" max="49.9986310746064"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        49.999
      </sumStat>
      <sumStat type="mean">
        29.179
      </sumStat>
      <sumStat type="stdev">
        9.61
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="t" files="F5" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="81" width="16" RecSegNo="1"/>
      <labl>
        Stata variable: age at end of episode
      </labl>
      <valrng>
        <range UNITS="REAL" min="15.0006844626968" max="50"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15.001
      </sumStat>
      <sumStat type="max">
        50
      </sumStat>
      <sumStat type="mean">
        30.811
      </sumStat>
      <sumStat type="stdev">
        9.724
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="st" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Stata variable: in survival analysis
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          26835
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="d" files="F5" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Stata variable: failure (seroconversion)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        26835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          26294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          541
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="study_name" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        Study name
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Karonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Kisesa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manicaland
        </labl>
        <catStat type="freq">
          63610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Masaka
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Rakai
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          uMkhanyakude
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Agincourt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Kisumu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Ifakara
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Nairobi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="idno" files="F6" dcml="0" intrvl="contin">
      <location StartPos="3" EndPos="12" width="10" RecSegNo="1"/>
      <labl>
        Participant ID number for sharing
      </labl>
      <valrng>
        <range UNITS="REAL" min="95807" max="123213"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        726
      </sumStat>
      <sumStat type="max">
        1060995846
      </sumStat>
      <sumStat type="mean">
        268489506.659
      </sumStat>
      <sumStat type="stdev">
        236593415.233
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="sex" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="13" EndPos="13" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Men
        </labl>
        <catStat type="freq">
          26842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Women
        </labl>
        <catStat type="freq">
          36768
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="fouryear" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        Calendar year, grouped in 4 years post 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          earliest-1999
        </labl>
        <catStat type="freq">
          6864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          2000-04
        </labl>
        <catStat type="freq">
          18427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2005-08
        </labl>
        <catStat type="freq">
          19787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          2009-12
        </labl>
        <catStat type="freq">
          18532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          2013-16
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          2017-20
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          2021-24
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="agegrp" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        Five year age group
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="18"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0-4
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          5-9
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          10-14
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          15-19
        </labl>
        <catStat type="freq">
          13516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          20-24
        </labl>
        <catStat type="freq">
          14582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          25-29
        </labl>
        <catStat type="freq">
          10908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          30-34
        </labl>
        <catStat type="freq">
          8175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          35-39
        </labl>
        <catStat type="freq">
          6570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          40-44
        </labl>
        <catStat type="freq">
          5442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          45-49
        </labl>
        <catStat type="freq">
          4417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          50-54
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          55-59
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          60-64
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          65-69
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          70-74
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          75-79
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          80-84
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          85-89
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          90+
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="hivstatus_broad" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        HIV status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Negative
        </labl>
        <catStat type="freq">
          50751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Positive
        </labl>
        <catStat type="freq">
          11443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Unknown
        </labl>
        <catStat type="freq">
          1416
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="timein" files="F6" dcml="0" intrvl="contin">
      <location StartPos="18" EndPos="33" width="16" RecSegNo="1"/>
      <labl>
        Start of episode (age)
      </labl>
      <valrng>
        <range UNITS="REAL" min="15" max="49.9986310746064"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        49.999
      </sumStat>
      <sumStat type="mean">
        27.86
      </sumStat>
      <sumStat type="stdev">
        9.19
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="timeout" files="F6" dcml="0" intrvl="contin">
      <location StartPos="34" EndPos="49" width="16" RecSegNo="1"/>
      <labl>
        End of episode (age)
      </labl>
      <valrng>
        <range UNITS="REAL" min="15.0006844626968" max="50"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15.001
      </sumStat>
      <sumStat type="max">
        50
      </sumStat>
      <sumStat type="mean">
        29.277
      </sumStat>
      <sumStat type="stdev">
        9.32
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="fail" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Seroconversion occurred at the end of this episode
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        63609
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          62209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1400
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="t0" files="F6" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="66" width="16" RecSegNo="1"/>
      <labl>
        Stata variable: age at start of episode
      </labl>
      <valrng>
        <range UNITS="REAL" min="15" max="49.9986310746064"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        49.999
      </sumStat>
      <sumStat type="mean">
        27.86
      </sumStat>
      <sumStat type="stdev">
        9.19
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="t" files="F6" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="82" width="16" RecSegNo="1"/>
      <labl>
        Stata variable: age at end of episode
      </labl>
      <valrng>
        <range UNITS="REAL" min="15.0006844626968" max="50"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15.001
      </sumStat>
      <sumStat type="max">
        50
      </sumStat>
      <sumStat type="mean">
        29.277
      </sumStat>
      <sumStat type="stdev">
        9.32
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V79" name="st" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Stata variable: in survival analysis
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          63610
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="d" files="F6" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Stata variable: failure (seroconversion)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        63610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          62210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1400
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
