<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="INDEPTH.ET041.CMD2012.v2" 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>
          Kersa HDSS INDEPTH Core Dataset 2007-2012 Release 2015
        </titl>
        <IDNo>
          DDI.INDEPTH.ET041.CMD2012.v3
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="iS2TT" affiliation="INDEPTH Network" role="Technical Support">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="int.indepth" affiliation="INDEPTH Network" role="agency">
          INDEPTH Network
        </producer>
        <producer abbr="MM" affiliation="ET041" role="DDI author">
          Mahlet Mekonnen
        </producer>
        <producer abbr="NA" affiliation="ET041" role="DDI author">
          Nega Assefa
        </producer>
        <prodDate date="2015-07-27">
          2015-07-27
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 1 (November 2014)
Version 2 (June 2015)
Version 3 (July 2015)]]>
        </version>
        <notes>
          <![CDATA[Version 1: Initial Version
Version 2: Edited Version For release
Version 3: New Copyright statment added]]>
        </notes>
      </verStmt>
      <holdings URI="http://www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Kersa HDSS INDEPTH Core Dataset 2007-2012 Release 2015
        </titl>
        <IDNo>
          INDEPTH.ET041.CMD2012.v2
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Haramaya Univeristy">
          Nega Assefa
        </AuthEnty>
        <AuthEnty affiliation="Haramaya Univeristy">
          Desalew Zelalem
        </AuthEnty>
        <AuthEnty affiliation="Haramaya Univeristy">
          Lemesa Oljira
        </AuthEnty>
        <AuthEnty affiliation="Haramaya Univeristy">
          Wondemye Ashenafi
        </AuthEnty>
        <AuthEnty affiliation="Haramaya Univeristy">
          Negga Baraki
        </AuthEnty>
        <AuthEnty affiliation="Haramaya Univeristy">
          Melake Demena
        </AuthEnty>
        <AuthEnty affiliation="Haramaya Univeristy">
          Melekamu Dedefo
        </AuthEnty>
        <othId role="Data Manager" affiliation="Haramaya Univeristy">
          <p>
            Mahlet Mekonnen
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MM" affiliation="Haramaya Univeristy" role="Data Manager">
          Mahlet Mekonnen
        </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="HU" role="Current Funder">
          Haramaya Univeristy
        </fundAg>
        <fundAg abbr="CDC" role="Current Funder">
          CDC-US
        </fundAg>
        <grantNo>
          GH001039-01
        </grantNo>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH" URI="http://indepth-ishare.org/howtouse" email="help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          <![CDATA[This dataset contains rounds of 1 to 11 of demographic survillance data covering the period from 1 Sep. 2007 to 31 Dec. 2012. Two rounds of data collection took place every year execpt in 2007 whereby only one round of data collection was done  from Sep. to Dec. 2007 (for four mounths). This might give you an infilated indicators particularly on birth rate, sex ratio, and life expectency. In each round an update of all individuals in the system was done in addition to the regular checks for events that change the population structure.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2015-06-09">
          CMD2012.v2
        </version>
        <notes>
          v1: Original version
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <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">
          Demography [N01.224]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Population Characteristics [N01]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Censuses [N01.224.175]
        </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">
          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">
          Sex Ratio [N01.224.803.815]
        </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">
          Child Mortality [N01.224.935.698.150]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Infant Mortality [N01.224.935.698.489]
        </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">
          Birth Rate [N01.224.935.849.500]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Rural Population [N01.600.725]
        </topcClas>
        <topcClas vocab="MeSH" vocabURI="http://www.ncbi.nlm.nih.gov/mesh">
          Suburban Population [N01.600.775]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[The Kersa Demographic Surveillance and Health Research Center (KDS-HRC) conducts demographic and health surveillance within the Kersa district of the Eastern Harerage zone of Oromiya region in Eastern Ethiopia. The Kersa district was selected out of 14 considered districts in the zone due to its convenience for surveillance and its representativeness of the zone- especially the presence of highland areas within the district. The center was established in February 2007 to monitor population and demographic change in a previously minimally studied area in Ethiopia. The first census was carried out in 2007 and in 2008 the center expanded its surveillance to include health data- such as reproductive, environmental and nutritional health and health behavior patterns and utilization. In the face of large rural populations with poor utilization of health and other services and a lack of a vital record system, longitudinal demographic and health surveillance is an efficient, cost effective and reliable way to collect population and health data in a country such as Ethiopia.  Traditional data collected from health clinics, small sample surveys and vital registries miss large segments of the population who do not access these services and are not representative of the population as a whole. Demographic and health surveillance includes these individuals by conducting community based surveys that are representative of the entire population. This provides essential data for health and developmental planning and activities.
Surveillance takes place in 12 of the district's 38 Kabeles. These 12 Kabeles are representative of the entire district as a whole. There are 2 semi-urban- the towns of Kersa Town and Weter Town- and 10 rural Kabeles within the surveillance site, which almost exactly mirrors the urban- rural population distribution of the Kersa district. Each Kabele contains roughly 1000 households with populations of 4000 to 5000 people. The average household size is 5.2 individuals. The Kabeles selected for surveillance are also proportionately distributed according to the highland, midland and lowland distribution of all the Kabeles in the district. Two of the surveillance Kabeles are located in highland areas, 8 in midland areas and 2 in low land areas. Kabeles range, in altitude, from 3200 meters above sea level in the highland areas to 1400 meters above sea level in the low land areas.
In both the rural and semi-urban areas seasonal farming is the main economic activity. Farmers generally produce crops once or twice for the year during the rainy season, while farmers in Handhura Kossum- one of the 12 surveillance Kabeles-produce 3 times a year due to irrigation practices there. In the semi-urban areas, however, people also work as petty traders, government workers, laborers and other service workers. The primary income generating crops in the mid and low land areas are khat, coffee and to a lesser extent sorghum. Khat and coffee are not as present in the high land areas due to the wetness of the land, but maize and vegetables are. Potatoes, oats, barley and wheat are also grown in most Kabeles. These crops are used primarily for personal consumption and only excess is sold. They are not as profitable as the cash crops mentioned previously. Therefore, Kabeles, which grow more cash crops, tend to be slightly wealthier than other Kabeles. Households also keep a number of animals- cows, donkeys, hens and goats- as a source of food and as work animals.
As with many rural areas in the continent, housing is rudimentary.  Almost all (99.3%)(Kersa Demographic Surveillance and Health Research Center, 2008) houses in Kersa, especially the rural Kabeles, are made of mud and wood. They generally consist of a single living space partitioned into sleeping quarters and space for animals to be kept. Some larger houses have completely separate rooms for animals, storage and sleeping. However, the majority, (67.8%) share sleeping/living rooms with domestic animals (Kersa Demographic Surveillance and Health Research Center, 2008). Kitchen facilities tend to be outside of the main living quarters in separate huts (54.2% are separate (Kersa Demographic Surveillance and Health Research Center, 2008)), but some houses have space set aside for cooking. In-house bathroom facilities are very rare (only 1.7% of households have them) (Kersa Demographic Surveillance and Health Research Center, 2008). About a third of households (36.4%) have access to a latrine facility and 6.9% have on-site solid waste disposal means (Kersa Demographic Surveillance and Health Research Center, 2008). Otherwise, sanitation facilities in the district are generally unimproved; i.e. they consist of the use of pit latrines or no facilities/bush or field disposal (Haramaya University, b). Houses generally do not have windows (82.3% (Kersa Demographic Surveillance and Health Research Center, 2008)), making ventilation poor. Roofs vary from traditional grass roofs, to plastic coverings and the more expensive, but increasingly common, corrugated iron (76.7%(Kersa Demographic Surveillance and Health Research Center, 2008)).In the semi-urban Kabeles houses may be made of wood or concrete, in addition to the traditional mud. 
All of the Kabeles are accessible by road (typically unpaved), have cell phone service, which many individuals use, and have landline telephone access through the Kabele administration office. During the rainy season access to the highland areas becomes difficult due to muddy and difficult to navigate road conditions. Most (67.5%) have access to an improved water source and 10.3% of those who don't, treat water in their homes (Kersa Demographic Surveillance and Health Research Center, 2008). Water sources in the district include tap water, protected and unprotected springs and wells and ponds. Those accessing from wells, fetch water from central pumps within the Kabeles. The 2 semi-urban Kabeles also have electricity available to all or most households for a small price. Some wealthier households in certain Kabeles- such as Handhura Kossum- also have electricity but generally, it is not found in the rural areas.61.5% of houses are poorly illuminated (Kersa Demographic Surveillance and Health Research Center, 2008).
Other services and facilities available in the district include schools (from elementary to preparatory), churches and mosques and government funded farmer training centers (FTC). In total, there are 18 elementary, 2 secondary, 1 preparatory and 2 religious schools in the surveillance site. Access to educational facilities is equal in both the urban and rural areas. However, the types of schools available and the length of schooling for children are different between the rural and urban areas. In rural areas, schools are more likely to be religiously affiliated and run, while government schools are more prevalent in the urban areas. Also, individuals leave school earlier in the rural areas in order to support their families or start families of their own.  While Islam is the dominant religion and there are 138 mosques in the area, there are also 8 churches in the site. There are also 6 FTCs in the study site. FTCs are buildings and programs set up by the government in rural farming areas, to train farmers in new and improved agricultural methods and skills.]]>
      </abstract>
      <sumDscr>
        <timePrd date="2007-10-13" event="start" cycle="Release Coverage"/>
        <timePrd date="2012-12-31" event="end" cycle="Release Coverage"/>
        <collDate date="2007-10-13" event="start" cycle="Round 01"/>
        <collDate date="2008-02-29" event="end" cycle="Round 01"/>
        <collDate date="2008-03-01" event="start" cycle="Round 02"/>
        <collDate date="2008-08-31" event="end" cycle="Round 02"/>
        <collDate date="2008-09-01" event="start" cycle="Round 03"/>
        <collDate date="2009-02-28" event="end" cycle="Round 03"/>
        <collDate date="2009-03-01" event="start" cycle="Round 04"/>
        <collDate date="2009-08-31" event="end" cycle="Round 04"/>
        <collDate date="2009-09-01" event="start" cycle="Round 05"/>
        <collDate date="2010-02-28" event="end" cycle="Round 05"/>
        <collDate date="2010-03-01" event="start" cycle="Round 06"/>
        <collDate date="2010-08-31" event="end" cycle="Round 06"/>
        <collDate date="2010-09-01" event="start" cycle="Round 07"/>
        <collDate date="2011-02-28" event="end" cycle="Round 07"/>
        <collDate date="2011-03-01" event="start" cycle="Round 08"/>
        <collDate date="2011-08-31" event="end" cycle="Round 08"/>
        <collDate date="2011-09-01" event="start" cycle="Round 09"/>
        <collDate date="2012-02-28" event="end" cycle="Round 09"/>
        <collDate date="2012-03-01" event="start" cycle="Round 10"/>
        <collDate date="2012-08-31" event="end" cycle="Round 10"/>
        <collDate date="2012-09-01" event="start" cycle="Round 11"/>
        <collDate date="2013-02-28" event="end" cycle="Round 11"/>
        <nation abbr="ET">
          Ethiopia
        </nation>
        <geogCover>
          <![CDATA[Kersa Health and Demographic Surveillance System (Kersa HDSS) is located in Kersa district of eastern Hararege, Oromia region, Eastern Ethiopia. It was established in 2007 with the vision of becoming center of excellence in health science research in Ethiopia. It conducts health and demographic surveillance. The major work on the ground are monitoring demographic altering events such as birth, death, and migration; and health related conditions such as pregnancy, immunization, and morbidity. It also conducts verbal autopsy for the deceased to identify causes of death. It is an INDPTH network member site (http://www.indepth-network.org). More explanation about KDS-HRC please visit www.haramaya.edu.et/research/projects/kds-hrc <http://www.haramaya.edu.et/research/projects/kds-hrc>
Eastern Hararge 
It one of the 15 Zones of Oromia <http://www.answers.com/topic/oromia-region> regional state. It is bordered on the southwest by the Wabe Shebelle River, which separates it from Bale zone; on the west by West Hararge zone the north by Dire Dawa administration; and on the north and east by the Somali Regional state.
Based the 2007 census, the zone has an estimated total population of 2,739,390, of which 6.9% of its population is urban dwellers. The zone has an area of 24,900.21 square kilometers, and a population density of 102.64 people per square kilometer. The health coverage of the zone is 80 %. Forty four percent of the zone is malarious area.
KersaDistrict 
It is one of the 16 districts of Eastern Hararge zone. It is bordered on the south by Bedeno district, on the west by Meta district, on the north by Dire Dawa administrative council, on the northeast by Haramaya district, and on the southeast by Kurfa Chele district. The district capital is Kersa town which is 44 km from west of Harar city; other towns in the district include Lange and Weter.
According to a survey of the land in Kersa (released in 1995/96) showed that 28.5% is arable or cultivable, 2.3% pasture, 6.2% forest, and the remaining 56.3% is considered built-up degraded or otherwise unusable. Khat <http://www.answers.com/topic/khat>, fruits and vegetables are important cash crops.  <http://www.answers.com/topic/kersa-hararge>Coffee <http://www.answers.com/topic/coffee> is also an important cash crop; covering 5,000 hectares. Sorghum, maize, barley, white etc are among the food crops cultivated in the district.]]>
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          <![CDATA[Resident household members of households resident within the demographic surveillance area. Inmigrations are defined by iteration to become resident, but actual residence episodes of less than 180 days are censored. Outmigrants are defined by iteration to become resident elsewhere, but actual periods of non- residence less than 180 days are censored. Children born to be 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( 1 Sep. 2007 to 31 Dec 2012)]]>
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[This study represents the total of data associated with the complete Kersa HDSS as described in the abstract for the study period. A complete population structure changing events such as pregnancy outcome, death, and migration are included. For pregnancy outcome events are linked with the women ID. Each type of event contains minimal attribute describing the event:
Attributes common to each event:
Event Type,
Event Date
Observation Date

Migration 
Origin and Destination

Delivery
Live born and Still born counts]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="ET041" affiliation="Haramaya Univeristy">
          Kersa HDSS
        </dataCollector>
        <frequenc>
          Two rounds of data collection took place annually.
        </frequenc>
        <sampProc>
          This dataset is not based on a sample but contains information from the complete demographic servillance area. The response rate for the surveillance activities is 100%.
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[List of questionnaires
Location Registration Form
House Registration Form
Individual Registration Form
Education and Occupation Registration Form
Economic Status Registration Form

Pregnancy Surveillance Form
Pregnancy Outcome Registration Form

Death Registration Form
Verbal Autopsy Registration Form (WHO-2012)

Inmigration Registration Form
Outmigration Registration Form

Marital Status Registration Form

Child Morbidity Registration Form
Adult Morbidity Registration Form

Child Immunization Registration Form
Family Planning Registration Form]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[Enumerators were trained immediately prior to the baseline collection and then refresher training was conducted for one week every other round.
New filed workers received standardized one week training and four weeks on job training prior to appointment as independent data collector.
Data entry staff received filed work training in addition to training in the use of data entry programs.]]>
        </collSitu>
        <actMin>
          Fieldworkers operated in teams of between 4 and 6 and were supervised by one supervisor. Supervisors conduct supervised visit and quality control visits and review fieldworker's data collection.
        </actMin>
        <cleanOps>
          <![CDATA[On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validaton failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction. If the error was due to data inconsistencies that could not be directly traced to a data collection error, the record was referred to the data quality team under the supervision of the senior database scientist. This could request further field level investigation by a team of trackers or could correct the inconsistency directly at database level.

No imputations were done on the resulting micro data set, except for:

a. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG).
b.  If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event.
c. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG).
d. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event.
e. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an out-migration event (OMG)

In the case of the village that was added (enumerated) in 2006, some individuals may have outmigrated from the original surveillance area and setlled in the the new village prior to the first enumeration. Where the records of such individuals have been linked, and indivdiual can legitmately have and outmigration event (OMG) forllowed by and enumeration event (ENU). In a few cases a homestead exit event (EXT) was followed by an enumeration event in these cases. In these instances the EXT events were changed to an out-migration event (OMG).]]>
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <respRate>
          On an average the response rate is about 99% over the years for each round
        </respRate>
        <EstSmpErr>
          Not applicable
        </EstSmpErr>
        <dataAppr>
          <![CDATA[CentreId	MetricTable	QMetric	   Illegal           Legal	            Total          Metric             RunDate	

ET041	MicroDataCleaned	Starts	                       72899		               2014-11-24 10:58																									
ET041	MicroDataCleaned	Transitions            0        152900        152900	0	2014-11-24 10:58																									
ET041	MicroDataCleaned	Ends                                  72899			2014-11-24 10:58]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Kersa HDSS (ET041)
        </origArch>
      </setAvail>
      <useStmt>
        <confDec required="yes">
          This data is anonymised and no confidentiality agrement 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 this dataset must cite the digital object identifer (doi) assosated with this dataset. using the following form:
"Kersa HDSS INDEPTH Core Dataset 2007-2012 Release 2015. Provided by the INDEPTH network data repository. www.indepth-network.org 
<http://www.indepth-network.org>.doi:10.7796/INDEPTH.ET041.CMD2012.v2"]]>
        </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 data, INDEPTH, and the relivant funding agencies bear no responsibility for the data's use or interpritation or inferences besed upon it.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="DDI.INDEPTH.ET041.CMD2012.v2.Nesstar?Index=0&amp;Name=ET041.CMD2012.v2">
    <fileTxt>
      <fileName>
        ET041.CMD2012.v2.NSDstat
      </fileName>
      <fileCont>
        Event History Micro Data Set
      </fileCont>
      <dimensns>
        <caseQnty>
          154818
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <dataChck>
        <![CDATA[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>
          CMD2012.v1
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
73D85166C206ED21BF89208423277518]]>
    </notes>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V2 V3">
      <labl>
        Center Related Variables
      </labl>
      <txt>
        This group has identifer for country and center
      </txt>
    </varGrp>
    <varGrp ID="VG2" type="subject" var="V4 V5 V6 V7">
      <labl>
        Individual Related Variables
      </labl>
      <txt>
        This group has identifer 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 identifiers
      </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 min="1" max="154818"/>
      </valrng>
      <sumStat type="vald">
        154818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        154818
      </sumStat>
      <sumStat type="mean">
        77409.5
      </sumStat>
      <sumStat type="stdev">
        44692.251
      </sumStat>
      <txt>
        A sequential number uniquely identifying each recourd 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 min="231" max="231"/>
      </valrng>
      <sumStat type="vald">
        154818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country in which the survillance site is situated
      </txt>
      <catgry>
        <catValu>
          231
        </catValu>
        <catStat type="freq">
          154818
        </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">
        154818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        An identifier issued by INDEPTH to each member center of the format CCCSS, where CCC is sequential center identifer and SS is sequential identifer of the site within the center in the case of multiple site centers
      </txt>
      <catgry>
        <catValu>
          ET041
        </catValu>
        <catStat type="freq">
          154818
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="IndividualId" files="F1" dcml="0" intrvl="contin">
      <labl>
        IndividualId
      </labl>
      <valrng>
        <range min="2" max="72920"/>
      </valrng>
      <sumStat type="vald">
        154818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        72920
      </sumStat>
      <sumStat type="mean">
        36404.937
      </sumStat>
      <sumStat type="stdev">
        21038.324
      </sumStat>
      <txt>
        A number uniquely identifing all the recourds belonging to specific individual in the data file. This number not to be the same as the indentifier used by a contributing center to 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 min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        154818
      </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">
          72221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          82597
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        154818
      </sumStat>
      <sumStat type="min">
        1887-02-08
      </sumStat>
      <sumStat type="max">
        2014-03-10
      </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 min="2" max="10"/>
      </valrng>
      <sumStat type="vald">
        154818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The tottal number of events associated with this individual in this data set
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          105508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          29955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          14216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          3360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="EventNr" files="F1" dcml="0" intrvl="discrete">
      <labl>
        EventNr
      </labl>
      <valrng>
        <range min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        154818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event recourd in order of event occurance
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          67247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          67247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          14493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          4508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </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">
        154818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code identifing the type of event that has occured.
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          8499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          8356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <catStat type="freq">
          2569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Entry
        </labl>
        <catStat type="freq">
          2353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <catStat type="freq">
          57684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Exit
        </labl>
        <catStat type="freq">
          2384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          In-Migration
        </labl>
        <catStat type="freq">
          1181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation End
        </labl>
        <catStat type="freq">
          67247
        </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">
          4545
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        154818
      </sumStat>
      <sumStat type="min">
        2008-01-01
      </sumStat>
      <sumStat type="max">
        2013-01-01
      </sumStat>
      <txt>
        The date on which the event occured. Format:YYYY/MM/DD
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V11" name="ObservationDate" files="F1" intrvl="discrete">
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        154779
      </sumStat>
      <sumStat type="min">
        2007-09-13
      </sumStat>
      <sumStat type="max">
        2015-02-28
      </sumStat>
      <txt>
        Date on which the event was observed (recorded), also known as survillance vist 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 min="1" max="13488"/>
      </valrng>
      <sumStat type="vald">
        154799
      </sumStat>
      <sumStat type="invd">
        19
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        13488
      </sumStat>
      <sumStat type="mean">
        6740.598
      </sumStat>
      <sumStat type="stdev">
        3892.978
      </sumStat>
      <txt>
        Unique identifer associated with a residental unit within the site and is the location where the indivisual was or became resident when the event occurred. This identifer is not be the same as the identifer used internaly by contributing center
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="MotherId" files="F1" dcml="0" intrvl="contin">
      <labl>
        MotherId
      </labl>
      <valrng>
        <range min="27" max="72917"/>
      </valrng>
      <sumStat type="vald">
        17241
      </sumStat>
      <sumStat type="invd">
        137577
      </sumStat>
      <sumStat type="min">
        27
      </sumStat>
      <sumStat type="max">
        72917
      </sumStat>
      <sumStat type="mean">
        36295.57
      </sumStat>
      <sumStat type="stdev">
        21174.544
      </sumStat>
      <txt>
        The IndividualId 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 min="2" max="11780"/>
      </valrng>
      <sumStat type="vald">
        17241
      </sumStat>
      <sumStat type="invd">
        137577
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        11780
      </sumStat>
      <sumStat type="mean">
        5944.596
      </sumStat>
      <sumStat type="stdev">
        3418.304
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
