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<codeBook version="1.2.2" ID="INDEPTH.BF041.CMD2014.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>
          Ouagadougou HDSS INDEPTH Core Dataset 2009-2014 (Release 2017)
        </titl>
        <IDNo>
          DDI.INDEPTH.BF041.CMD2014.V1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="int.indepth" affiliation="INDEPTH Network" role="agency">
          INDEPTH
        </producer>
        <producer abbr="isTT" affiliation="INDEPTH Network" role="Technical Support">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="DD" affiliation="Ouagadougou HDSS" role="DDI Author">
          DIELBEOGO DASMANE
        </producer>
        <prodDate date="2017-05-16">
          2017-05-16
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          CMD2014.v1: 2017-05-16
        </version>
        <notes>
          <![CDATA[CMD2014.v1:  For public distribution]]>
        </notes>
      </verStmt>
      <holdings URI="www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Ouagadougou HDSS INDEPTH Core Dataset 2009-2014 (Release 2017)
        </titl>
        <IDNo>
          INDEPTH.BF041.CMD2014.v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Ouagadougou HDSS Site Leader (BF041)">
          Abdramane SOURA
        </AuthEnty>
        <othId role="Coordination team" affiliation="IRD">
          <p>
            Stephanie Dos Santos
          </p>
        </othId>
        <othId role="Coordination team" affiliation="INED">
          <p>
            Clementine Rossier
          </p>
        </othId>
        <othId role="Scientific committee" affiliation="ISSP, Ouagadougou University">
          <p>
            Scientific advisor committee
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="BL" affiliation="OHDSS" role="Questionnaire design, Sampling methodology/selection, Data collection, Data analysis">
          OHDSS Team
        </producer>
        <producer abbr="DD" affiliation="OHDSS" role="Data Collection and processing">
          KOMBASSDERE Kouliga
        </producer>
        <producer abbr="DDI" affiliation="OHDSS" role="Data Collection and processing">
          DIELBEOGO DASMANE
        </producer>
        <producer abbr="CY" affiliation="OHDSS" role="Data Collection and Analysis">
          COMPAORE YACOU
        </producer>
        <copyright>
          This dataset documentation is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download.
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="WT" role="prior funder">
          Wellcome Trust
        </fundAg>
        <fundAg abbr="APHRC" role="Secondary fnder">
          African Population and Health Reseach Centre
        </fundAg>
        <fundAg abbr="IVI" role="Funder of TSAP Burkina">
          International Vaccine Institute
        </fundAg>
        <fundAg abbr="IDRC" role="Funder of water and climate variabiliy project">
          International Development Research centre
        </fundAg>
        <grantNo agency="WT" role="prior funder">
          WT081993MA
        </grantNo>
        <grantNo agency="APHRC" role="Secondary fnder">
          1
        </grantNo>
        <grantNo agency="IVI" role="Funder of TSAP Burkina">
          1
        </grantNo>
        <grantNo agency="IDRC" role="Funder of water and climate variabiliy project">
          1
        </grantNo>
      </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>
          <![CDATA[This dataset contains rounds 0 to 7  of health and demographic surveillance data covering the period from October 2008  to 31 December 2014. 
two rounds of data collection took place annually]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2017-05-16">
          CMD2014.V1: Edited dataset for public distribution
        </version>
        <notes>
          Developed during workshop in May 2017
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Migration
        </keyword>
        <keyword>
          Fertility
        </keyword>
        <keyword>
          Mortality
        </keyword>
        <keyword>
          Population
        </keyword>
        <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">
          Age Distribution [N01.224.033]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Marital Status [N01.224.361.500]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Emigration and Immigration [N01.224.625.350]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Population Growth [N01.224.625.660]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Residential Mobility [N01.224.791.700]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Sex Distribution [N01.224.803]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Vital Statistics [N01.224.935]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Life Expectancy [N01.224.935.464]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Mortality [N01.224.935.698]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Cause of Death [N01.224.935.698.100]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Survival Rate [N01.224.935.698.826]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Pregnancy Rate [N01.224.935.849]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Birth Rate [N01.224.935.849.500]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Mental Health [N01.400.500]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Reproductive Health [N01.400.625]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Urban Health [N01.400.800]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Suburban Health [N01.400.700]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Urban Population [N01.600.900]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Suburban Population [N01.600.775]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Educational Status [N01.824.196]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Employment [N01.824.245]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Medical Indigency [N01.824.460]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Poverty [N01.824.600]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Health Services [N02.421]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Delivery of Health Care [N05.300]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Cities [N06.230.069]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Disasters [N06.230.100]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Fresh Water [N06.230.232]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Rain [N06.230.520]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Food Safety [N06.850.617]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Health Transition [N06.850.650]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Hygiene [N06.850.670]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Sanitation [N06.850.860]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[The Ouagadougou Health and Demographic Surveillance System (Ouagadougou HDSS), located in five neighborhoods at the northern periphery of the capital of Burkina Faso, was established in 2008. Data on vital events (births, deaths, unions, migration events) are collected during household visits that have taken place every 10 months. 

The areas were selected to contrast informal neighborhoods (40 000 residents) with formal areas (40 000 residents), with the aims of understanding the problems of the urban poor, and testing innovative programs that promote the well-being of this population. People living in informal areas tend to be marginalized in several ways: they are younger, poorer, less educated, farther from public services and more often migrants. Half of the residents live in the Sanitary District of Kossodo and the other half in the District of Sig-Nonghin.

The Ouaga HDSS has been used to study health inequalities, conduct a surveillance of typhoid fever, measure water quality in informal areas, study the link between fertility and school investments, test a non-governmental organization (NGO)-led program of poverty alleviation and test a community-led targeting of the poor eligible for benefits in the urban context. Key informants help maintain a good rapport with the community. The Ouaga HDSS data are available to researchers under certain conditions.]]>
      </abstract>
      <sumDscr>
        <timePrd date="2008-10-07" event="start" cycle="Round 0"/>
        <timePrd date="2009-03-19" event="end" cycle="Round 0"/>
        <timePrd date="2009-05-14" event="start" cycle="Round 1"/>
        <timePrd date="2009-11-14" event="end" cycle="Round 1"/>
        <timePrd date="2010-02-09" event="start" cycle="Round 2"/>
        <timePrd date="2010-11-08" event="end" cycle="Round 2"/>
        <timePrd date="2011-07-01" event="start" cycle="Round 3"/>
        <timePrd date="2012-05-15" event="end" cycle="Round 3"/>
        <timePrd date="2012-07-24" event="start" cycle="Round 4"/>
        <timePrd date="2012-11-30" event="end" cycle="Round 4"/>
        <timePrd date="2013-02-23" event="start" cycle="Round 5"/>
        <timePrd date="2013-07-05" event="end" cycle="Round 5"/>
        <timePrd date="2013-08-06" event="start" cycle="Round 6"/>
        <timePrd date="2013-12-15" event="end" cycle="Round 6"/>
        <timePrd date="2014-06-24" event="start" cycle="Round 7"/>
        <timePrd date="2014-12-16" event="end" cycle="Round 7"/>
        <timePrd date="2015-07-02" event="start" cycle="Round 8"/>
        <timePrd date="2016-03-22" event="end" cycle="Round 8"/>
        <timePrd date="2016-07-14" event="start" cycle="Round 9"/>
        <timePrd date="2017-01-04" event="end" cycle="Round 9"/>
        <collDate date="2009-01-01" event="start" cycle="Release coverage"/>
        <collDate date="2014-12-31" event="end" cycle="Release coverage"/>
        <nation abbr="BF">
          Burkina Faso
        </nation>
        <geogCover>
          <![CDATA[Demographic Surveillance Area in Ouagadougou:

Ouagadougou is the capital city of Burkina Faso and lies at the centre of this country, located in the middle of West Africa (128 North of the Equator and 18 West of the Prime Meridian). The rainy season lasts from June to October; the rest of the year is dry. 

Temperatures range from 158C in December to 428C in April. Most city dwellers work in the trade sector. Several major national public hospitals are located in the capital along with most private health centres and pharmacies.
The Ouaga HDSS sites were chosen to target the most vulnerable populations of the city. We thus paid special attention to areas of unplanned growth.

Information given by the municipalities led us to choose three informal areas devoid of formal zoning plans, located at the northern periphery of the city: Nonghin, Polesgo and Nioko 2. To be able to compare these areas with the rest of the city, we added two formal neighbourhoods located close by (Kilwin and Tanghin). Nonghin and Kilwin belong to the Sanitary District of Sig-Nonghin, whereas Polesgo, Tanghin and Nioko 2 belong to the Sanitary District of Kossodo. A population of 80 000 was defined as a minimum to measure differences in child mortality in a 'control' vs an 'intervention' area given the 1996 census urban level of mortality in Burkina Faso, and we distributed this total amount equally between formal and informal areas, and between the districts of Kossodo and Sig-Nonghin. The Ouaga HDSS areas cover only part of either district.
In September 2008, we defined the limits of our areas using existing census tracks (census 2006), and creating new ones in places where the city had expanded.

Altogether, the areas we followed consist of 55 census tracks divided into 494 blocks. We mapped all the census tracks and blocks using fieldworkers with handheld global positioning system (GPS) receivers and ArcGIS 9. During a first census (October 2008 to
March 2009), the demographic surveillance system was explained to every head of household and a consent form was signed; during subsequent censuses, new households are enrolled in the same way.]]>
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          Resident household members of households resident within the demographic surveillance area. Inmigrants (Visitors) are defined by intention to become resident, but actual residence episodes of less than six months (180 days) are censored. Outmigrants are defined by intention to become resident elsewhere, but actual periods of non-residence less than six months (180 days) are censored. Children born to resident women are considered resident by default, irrespective of actual place of birth. The dataset contains the events of all individuals ever resident during the study period (03 Oct 2009 to 31 Dec 2014)
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[This study represents only a portion of the total data associated with the complete Ouagadougou Health and Demographic Surveillance System as described in the study abstract.

It specifically only includes the events defining the resident exposure of individuals under surveillance as well as the delivery events of resident women. Each type of event contains minimal attributes describing the event:

Attributes common to each event:
Event Type,
Event Date
Observation date

Migration:
Origin & Destination

Death:
Cause

Delivery:
Live born and Still born counts
Parity]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="BF041" affiliation="ISSP/UO">
          The Ouagadougou Health and Demographic Surveillance System
        </dataCollector>
        <frequenc>
          <![CDATA[This dataset contains rounds 0 to 7  of demographic surveillance data covering the period from 07 Oct 2008 to 31 december 2014.]]>
        </frequenc>
        <sampProc>
          <![CDATA[This dataset is not based on a sample but contains information from the complete demographic surveillance area of Ouagadougou in Burkina Faso.
Reponse units (households) by Round:
Round         Households                    
2008          4941	       
2009          19159	
2010          21168		
2011          12548	
2012           24174
2013          22326
2014]]>
        </sampProc>
        <deviat>
          None
        </deviat>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          <![CDATA[List of questionnaires 

Collective Housing Unit (UCH) Survey Form
• use to register characteristics of the house
•Use to register Sanitation installations
•All registered house as at previous round are uploaded behind the PDA or tablet.

Household registration (HHR) or update (HHU) form
• used to register characteristics of the HH
• Used to update information about the composition of the household
• All registered households as at previous rounds are uploaded behind the PDA or tablet.

Household Membership Registration (HMR) or update (HMU)
• used to link individuals to households. 
• Used to update information about the household memberships and member status observations
• All member status observations as at previous rounds are uploaded behind the PDA or tablet.

Presences registration form (PDR)
• Used to uniquely identify the presence of each individual in the household and to identify the new individual in the household
• Mainly to ensure members with multiple household memberships are appropriately
captured
• All presences observations as at previous rounds are uploaded behind the PDA or tablet.

Visitor registration form (VDR) 
• Used register the characteristics of the new individual  in the household
• Used to capt the internal migration
• Use matching form to facilitate pairing migration

Out Migration notification form (MGN)
• Used to record change in the status of residency of individuals or households
• Migrants are tracked and updated in the database

Pregnancy history form (PGH) & pregnancy outcome notification form (PON)
• Records details of pregnancies and their outcomes
• Only if woman is a new member
• Only if woman has never completed WHL or WGH
• All member pregnancy without  pregnancy outcome  as at previous rounds are uploaded behind the PDA or tablet.

Death notification form (DTN)
• Records all deaths that have recently occurred
• includes information about time, place, circumstances and possible cause of death

Updated Basic information Form (UBIF)
• Use to change the individual basic information

Health questionnaire (adults, women, child, elder)
• Family planning
• Chronic illnesses
• Violence and accident
• Mental health
• Nutrition, alcohol, tobacco 
• Access to health services
• Anthropometric measures
• Physical limitations
• Self-rated health
• Food security

Variability of climate and water accessibility
• accessibility to water
• child health outcomes
• gender outcomes
• data on rainfall, temperatures, water quality]]>
        </resInstru>
        <sources/>
        <collSitu>
          Enumerators were trained immediately prior to the baseline data collection and then refresher training was conducted for one week between each surveillance round. New fieldworkers received a standardised 1 or 2 week training course prior to appointment as data collectors.
        </collSitu>
        <actMin>
          Fieldworkers operated in teams of between 3 and 5 each supervised by a Fieldwork supervisor. Supervisors conduct supervised visits and quality control visits and review fieldworkers data collection.
        </actMin>
        <weight>
          Not applicable
        </weight>
        <cleanOps>
          <![CDATA[The data collection system is composed by two databases:

-   A temporary database, which contains data collected and transferred each day during the round.
-   A reference database, which contains all data of Ouagadougou Health and Demographic Surveillance System, in which is transferred the data of the temporary database to the end of each round.
Note: The temporary database is emptied at the end of the round for a new round. Thus, the data processing takes place in two ways:


First: When collecting data with PDAs or tablets and theirs transfers by Wi-Fi, data consistency and plausibility are controlled by verification rules in the mobile application and in the database. In addition to these verifications, the data from the temporary database undergo validation. This validation is performed each week and produces a validation report for the data collection team. After the validation, if the error is due to an error in the data collection, the field worker equipped with his PDA or tablet go back to the field to revisit and correct this error. At the end of this correction, the field worker makes again the transfer of data through the wireless access points on the server.
If the error is due to data inconsistencies that might not be directly related to an error in data collection, the case is remanded to the scientific team of the main database that could resolve the inconsistency directly in the database or could with supervisors perform a thorough investigation in order to correct the error.


Second: At the end of the round, the data from the temporary database are automatically transferred into the reference database by a transfer program. After the success of this transfer, further validation is performed on the data in the database to ensure data consistency and plausibility. This still produces a validation report for the data collection team. And the same process of error correction is taken.]]>
        </cleanOps>
      </dataColl>
      <notes>
        At the end of all data processing, Macro files are generated by the IT team for statisticians, who do some consistency checks. If inconsistencies are identified, they are given to the manager of the main database for correction. For the corrections, the field back is often necessary to correct certain inconsistencies.
      </notes>
      <anlyInfo>
        <respRate>
          <![CDATA[Household response rates are as follows (assuming that if a household has not responded for 2 years following the last recorded visit to that household, that the household is lost to follow-up and no longer part of the response rate denominator)

Year       	Response Rate	
2008       	100%	
2009       	100%	
2010       	100%	
2011       	98%	
2012       	100%
2013       	 95%
2014]]>
        </respRate>
        <EstSmpErr>
          Not applicable
        </EstSmpErr>
        <dataAppr>
          <![CDATA[CentreId 	     MetricTable	                               QMetric           Illegal       Legal             Total           Metric             RunDate
BF041	MicroDataCleaned	Starts		                                       151624			2017-05-16 13:36	
BF041	MicroDataCleaned	Transitions	0	                       314778	314778	0	2017-05-16 13:36	
BF041	MicroDataCleaned	Ends		                                       151624			2017-05-16 13:36	
BF041	MicroDataCleaned	SexValues		                       314778			2017-05-16 13:36	
BF041	MicroDataCleaned	DoBValues		                       314778			2017-05-16 13:36]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Ouagadougou (BF041)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required
        </confDec>
        <contact affiliation="INDEPTH" URI="http://indepth-ishare.org" email="help-data@indepth-network.org">
          iSHARE2 Help desk
        </contact>
        <citReq>
          <![CDATA[Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:

"Ouagadougou HDSS INDEPTH Core Dataset 2009-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org <http://www.indepth-network.org>. doi:10.7796/INDEPTH.BF041.CMD2014.v3"]]>
        </citReq>
        <conditions>
          <![CDATA[This data is made available for licensed access under the following conditions: 

1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement. 

2. In the case of multi-centre datasets, data originating from a single contributing member centre of the INDEPTH Network may not be analysed or reported on in isolation without the express permission of the member centre concerned.  

3. No attempt will be made to re-identify respondents, and there will be no use of the identity of any person or establishment discovered inadvertently. Any such discovery will be reported immediately to INDEPTH. 

4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. 

5. Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from INDEPTH will cite the source, in line with the citation requirement provided with the dataset. 

6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. 

7. The original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.]]>
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.
        </disclaimer>
      </useStmt>
    </dataAccs>
    <othrStdyMat>
      <relMat>
        <![CDATA[General Information of  Ouagadougou HDSS]]>
        <citation>
          <titlStmt>
            <titl>
              Ouagadougou HDSS - General Information
            </titl>
          </titlStmt>
          <holdings URI="www.issp.bf/opo"/>
        </citation>
      </relMat>
    </othrStdyMat>
  </stdyDscr>
  <fileDscr ID="F1" URI="DDI.INDEPTH.BF041.CMD2014.v1.Nesstar?Index=0&amp;Name=BF041.CMD2014.v3">
    <fileTxt>
      <fileName>
        BF041.CMD2014.v3.NSDstat
      </fileName>
      <fileCont>
        Event History Micro Data Set
      </fileCont>
      <dimensns>
        <caseQnty>
          366485
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        <varQnty>
          14
        </varQnty>
      </dimensns>
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        Nesstar 200801
      </fileType>
      <filePlac>
        Ouagadougou HDSS
      </filePlac>
      <dataChck>
        <![CDATA[Processing Checks
In Nesstar Publisher after uploading the dataset file go to Datasets -> File Description -> Procession Checks
Sample Text:
The following processing checks are done during the ETL process.

1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.
2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.
3. If the transition events are legal.
    The list of legal transitions:
    
    Birth followed by death
    Birth followed by exit
    Birth followed by end of observation
    Birth followed by outmigration
    
    Death followed by none
    
    Entry followed by death
    Entry followed by exit
    Entry followed by end of observation
    Entry followed by outmigration
    Enumeration followed by death
    Enumeration followed by exit
    Enumeration followed by outmigration
    
    Exit followed by entry
    
    Inmigration followed by Death
    Inmigration followed by exit
    Inmigration followed by end of observation
    Inmigration followed by outmigration
    
    End of observation followed by none
    
    Outmigration followed by none
    Outmigration followed by enumeration
    Outmigration followed by inmigration
    
    The list of illegal transitions:
    
    Birth followed by none
    Birth followed by birth
    Birth followed by entry
    Birth followed by enumeration
    Birth followed by   inmigration
     
    Death followed by birth
    Death followed by death
    Death followed by entry
    Death followed by enumeration
    Death followed by exit
    Death followed by inmigration
    Death followed by outmigration
    Death followed by end of observation
    
    Entry followed by none
    Entry followed by birth
    Entry followed by entry
    Entry followed by enumeration
    Entry followed by inmigration
    
    Enumeration followed by none
    Enumeration followed by birth
    Enumeration followed by entry
    Enumeration followed by enumeration
    Enumeration followed by inmigration
    
    Exit followed by birth
    Exit followed by death
    Exit followed by exit
    Exit followed by end of observation
    Exit followed by outmigration
    
    Inmigration followed by none
    Inmigration followed by birth
    Inmigration followed by entry
    Inmigration followed by enumeration
    Inmigration followed by inmigration
    
    End of observation followed by birth
    End of observation followed by death
    End of observation followed by entry
    End of observation followed by enumeration
    End of observation followed by exit
    End of observation followed by inmigration
    End of observation followed by end of observation
    End of observation followed by outmigration
    
    Outmigration followed by birth
    Outmigration followed by death
    Outmigration followed by exit
    Outmigration followed by end of observation
    Outmigration followed by outmigration
    
    List of edited events:
    
    Exit followed by none
    Exit followed by enumeration
    Exit followed by inmigration
    
    Outmigration followed by entry]]>
      </dataChck>
      <verStmt>
        <version>
          CMD2014.v3
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
999468ffe441b9ccd2cfcf37a1037282]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Centre Related Variables
      </labl>
      <txt>
        This group has identifiers for country and centre.
      </txt>
    </varGrp>
    <varGrp ID="VG2" type="subject" var="V4 V5 V6 V7">
      <labl>
        Individual Related Variables
      </labl>
      <txt>
        This group has identifiers for individuals.
      </txt>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V1 V8 V9 V10 V11 V12" varGrp="VG4">
      <labl>
        Event Related Variables
      </labl>
      <txt>
        This group has event related variables
      </txt>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V13 V14">
      <labl>
        Birth Related Variables
      </labl>
      <txt>
        This group contains Birth (BTH) 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="394154"/>
      </valrng>
      <sumStat type="vald">
        366485
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        366485
      </sumStat>
      <sumStat type="mean">
        183243
      </sumStat>
      <sumStat type="stdev">
        105795.251
      </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="854" max="854"/>
      </valrng>
      <sumStat type="vald">
        366485
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country where the surveillance site is situated
      </txt>
      <catgry>
        <catValu>
          854
        </catValu>
        <catStat type="freq">
          366485
        </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">
        366485
      </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>
          BF041
        </catValu>
        <catStat type="freq">
          366485
        </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="128904"/>
      </valrng>
      <sumStat type="vald">
        366485
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        151882
      </sumStat>
      <sumStat type="mean">
        72798.21
      </sumStat>
      <sumStat type="stdev">
        42072.416
      </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">
        366485
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sex of the individual
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unknown
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          170823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          195662
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        366485
      </sumStat>
      <sumStat type="min">
        1883-05-22
      </sumStat>
      <sumStat type="max">
        2015-10-03
      </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="1" max="7"/>
      </valrng>
      <sumStat type="vald">
        366485
      </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">
          150754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          175815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          28396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          9005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          64
        </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="7"/>
      </valrng>
      <sumStat type="vald">
        366485
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occurred
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          143289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          67912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          9307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          8
        </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">
        366485
      </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>
          Birth
        </labl>
        <catStat type="freq">
          14705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          14307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          2095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Location Entry
        </labl>
        <catStat type="freq">
          1487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <catStat type="freq">
          74724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Location Exit
        </labl>
        <catStat type="freq">
          1523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          In-Migration
        </labl>
        <catStat type="freq">
          57332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation End
        </labl>
        <catStat type="freq">
          143289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Last Observation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBS
        </catValu>
        <labl>
          Observation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OMG
        </catValu>
        <labl>
          Out-Migration
        </labl>
        <catStat type="freq">
          57023
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        366485
      </sumStat>
      <sumStat type="min">
        2009-01-01
      </sumStat>
      <sumStat type="max">
        2015-01-01
      </sumStat>
      <txt>
        The date on which the event occurred Format: YYYY-MM-DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V11" name="ObservationDate" files="F1" intrvl="discrete">
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        366378
      </sumStat>
      <sumStat type="min">
        2008-10-07
      </sumStat>
      <sumStat type="max">
        2017-01-04
      </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="21037"/>
      </valrng>
      <sumStat type="vald">
        366485
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        22889
      </sumStat>
      <sumStat type="mean">
        11143.962
      </sumStat>
      <sumStat type="stdev">
        6444.797
      </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="3" max="128891"/>
      </valrng>
      <sumStat type="vald">
        29067
      </sumStat>
      <sumStat type="invd">
        337418
      </sumStat>
      <sumStat type="min">
        7
      </sumStat>
      <sumStat type="max">
        151850
      </sumStat>
      <sumStat type="mean">
        72219.4
      </sumStat>
      <sumStat type="stdev">
        42343.478
      </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="1" max="11263"/>
      </valrng>
      <sumStat type="vald">
        29067
      </sumStat>
      <sumStat type="invd">
        337418
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15815
      </sumStat>
      <sumStat type="mean">
        7911.202
      </sumStat>
      <sumStat type="stdev">
        4567.931
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
