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    <citation>
      <titlStmt>
        <titl>
          Vadu HDSS INDEPTH Core Dataset 2009-2017 (Release 2019)
        </titl>
        <IDNo>
          DDI.INDEPTH.IN021.CMD2017.v1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="iS2TT" affiliation="INDEPTH Network" role="Documentation of the study">
          iSHARE2 Technical Team
        </producer>
        <producer abbr="int.INDEPTH" affiliation="INDEPTH Network" role="Agency">
          INDEPTH Network
        </producer>
        <producer abbr="TB" affiliation="INDEPTH Network" role="DDI Author">
          Tathagata Bhattacharjee
        </producer>
        <prodDate date="2019-06-23">
          2019-06-23
        </prodDate>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          CMD2017.v1: 2019-06-23
        </version>
        <notes>
          <![CDATA[Version CMD2017.v1:  Data documentatioin version of dataset CMD2017.v1 for public distribution]]>
        </notes>
      </verStmt>
      <holdings URI="http://www.indepth-ishare.org"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Vadu HDSS INDEPTH Core Dataset 2009-2017 (Release 2019)
        </titl>
        <IDNo>
          INDEPTH.IN021.CMD2017.v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="VADU HDSS, KEMHRC (IN021)">
          Dr. Sanjay Juvekar (Founding Co Investogator and presently Investigator: 2002 to date)
        </AuthEnty>
        <AuthEnty affiliation="VADU HDSS, KEMHRC (IN021)">
          Dr. Siddhivinayak Hirve (Founding Investigator: from 2002-2009)
        </AuthEnty>
        <othId role="Site Leader" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Dr Sanjay Juvekar
          </p>
        </othId>
        <othId role="Conceptualized formation and establishment of Vadu HDSS.  Also offered seed money from his Fellowship received from  Bill and Milinda Gates Institution of Population and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, USA" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Dr. Siddhi Vinayak Hirve
          </p>
        </othId>
        <othId role="Advise and Support" affiliation="KEMHRC Pune">
          <p>
            Dr Laila Garda
          </p>
        </othId>
        <othId role="Advise and Support" affiliation="KEMHRC, Pune">
          <p>
            Dr. V S Padbidri
          </p>
        </othId>
        <othId role="Software development and Senior Data Manager  wef 2012" affiliation="INDEPTH  Network and Vadu HDSS, KEMHRC Pune">
          <p>
            Tathagata Bhattacharjee
          </p>
        </othId>
        <othId role="IT Support and Data Manager wef 2013" affiliation="INDEPTH  Network and Vadu HDSS, KEMHRC Pune">
          <p>
            Sandeep Bhujbal
          </p>
        </othId>
        <othId role="Field Coordination, Vadu HDSS" affiliation="Vadu HDSS">
          <p>
            Bharat Chaudhary
          </p>
        </othId>
        <othId role="Vadu HDSS website management and Data Manager  wef 2012 - 2015" affiliation="INDEPTH  Network and Vadu HDSS, KEMHRC Pune">
          <p>
            Nidhi Patharia
          </p>
        </othId>
        <othId role="Data management software development (from 2003 to 2012)" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Neeraj Kashyap
          </p>
        </othId>
        <othId role="IT Hardware and Networking Support (wef 2016)" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Suhas Bhalerao
          </p>
        </othId>
        <othId role="IT Hardware and Networking Support (Upto 2015)" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Anant Shinde
          </p>
        </othId>
        <othId role="Advise" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Pallavi Lele
          </p>
        </othId>
        <othId role="Advise" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Dr. Sudipto Roy
          </p>
        </othId>
        <othId role="Administration and Finance" affiliation="KEMHRC, Pune">
          <p>
            Rajlaxmi Rangan
          </p>
        </othId>
        <othId role="Site Administration" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Ramesh Pardeshi
          </p>
        </othId>
        <othId role="Human Resource support, Vadu HDSS" affiliation="Vadu HDSS">
          <p>
            Pandurang Jadhav
          </p>
        </othId>
        <othId affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Hanif Shaikh
          </p>
        </othId>
        <othId affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Dr. Girish Dayma
          </p>
        </othId>
        <othId affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Dr. Ankita Srivastava
          </p>
        </othId>
        <othId affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Rutuja Patil
          </p>
        </othId>
        <othId affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Veena Muralidharan
          </p>
        </othId>
        <othId role="Electronic data collection supervision (2012-2013)">
          <p>
            Sagar Patil
          </p>
        </othId>
        <othId role="Data management software development (from 2003 to 2012)" affiliation="I2IT, Pune">
          <p>
            Padma Sambhudas (Khuha)
          </p>
        </othId>
        <othId role="Data Collection Management (Upto 2012)" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Somnath Sambhudas
          </p>
        </othId>
        <othId role="Data management software development (from 2003 to 2012)" affiliation="Vadu HDSS, KEMHRC Pune">
          <p>
            Trupti Varpe
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="INDEPTH" role="Offered technical support through in establishemnt of Vadu HDSS and its full membership to Vadu HDSS.">
          The International Network for the Demographic Evaluation of Populations and Their Health, Accra Ghana
        </producer>
        <producer affiliation="VADU HDSS, KEMHRC Pune (IN021)" role="Manager, Vadu HDSS">
          Bharat Chaudhary
        </producer>
        <producer abbr="FRA / FRS" affiliation="VADU HDSS, KEMHRC Pune (IN021)" role="Data Collection">
          Field Research Assistants/ Field Research Assistants/ Field Research Assistants / Supervisors
        </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="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
        <fundAg>
          Self Funded
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="INDEPTH Network" URI="http://www.indepth-ishare.org/index.php/howtouse" email="help-data@indepth-network.org">
          iSHARE2 Helpdesk
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic Surveillance
        </serName>
        <serInfo>
          <![CDATA[Data collection for Vadu HDSS started in November 2002.  As of 31st December 2017, we have completed 29 rounds.
This is a longitudinal dataset containing rounds 12 to 29 of demographic surveillance data surveys covering the period from 1 Jan 2009 to 31 December 2017. 
Two rounds of data collection took place annually during this period.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2019-06-23">
          CMD2017.v1: Edited dataset for public distribution
        </version>
        <notes>
          IN021.CMD2017.v1
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Fertility
        </keyword>
        <keyword>
          Mortality
        </keyword>
        <keyword>
          Migration
        </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">
          Emigration and Immigration [N01.224.625.350]
        </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">
          Birth Rate [N01.224.935.849.500]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[Vadu Rural Health Program, KEM Hospital Research Centre Pune has a rich tradition in health care and development being in the forefront of needs-based, issue-driven research over almost 35 years. During the decades of 1980 and 1990 the research at Vadu focused on mother and child with epidemiological and social science research exploring low birth weight, child survival, maternal mortality, safe abortion and domestic violence. The research portfolio has ever since expanded to include adult health and aging, non-communicable and communicable diseases and to clinical trials in recent years. It started with establishment of Health and Demographic Surveillance System <http://www.kemhrcvadu.org/index.php/about-us/2014-03-02-11-12-33/hdss> at Vadu (HDSS Vadu) in August, 2002 that seeks to establish a quasi-experimental design setting to allow evaluation of impact of health interventions as well as monitor secular trends in diseases, risk factors and health behavior of humans. 

Vadu has struck research alliances with Regional, National and International Organizations. The iSHARE (www.indepth-ishare.org <http://www.indepth-ishare.org>)- is a novel globally applicable solution from Vadu for enabling INDEPTH Network members to share their data on the web. IMVAC is an international collaboration with the Chest Research Foundation, Pune and the Imperial College, London to better understand COPD in developing world context. The Influenza Disease Burden in India (IDBI) study, in partnership with the National Institute of Virology, Pune and CDC Atlanta, is well placed to follow the influenza in rural areas. Vadu's foray into large community based GCP compliant phase II/III vaccine trials for meningitis, measles, HIB, typhoid and rota-virus is another important step in getting safe, effective and yet less expensive/affordable indigenously produced vaccines to licensure and use in India and globally. A recent strategic 5-year award jointly with paediatrics department of KEM, from the Dept. of Biotechnology, GOI is helping us build capacity to develop a Core Vaccine Research Unit at Vadu. 
An exciting array of Translational Research (G2P studies) is ongoing at Vadu in collaboration with Institute of Genomics & Integrative Biology, GOI from both Ayurvedic and disease perspective. Vadu has extensively contributed to Project Ayurgenomics: Integration of Ayurveda to Genomics for field based research. 10000 volunteers from Vadu area participated in this study. Vadu has also developed a detailed phenotyping (DP) unit and molecular biology laboratory for primary investigations. The DP unit includes State of the art labs for heart rate variability testing, spirometry, skin testing, anthropometry and gustatory testing. Probably the only molecular biology lab in rural area, our lab is well equipped for RNA and DNA isolation and detection besides a dedicated fully equipped section for the clinical trials laboratory work. 

Today's strength of Vadu is its ability to integrate research among and rational medical service delivery to the populations with support from the community and with capacity building of this very community in conducting community or hospital based research. Vadu strives to address its research needs through partnerships and collaborations with national and international institutions guided by principles of interdependence, equality, technology transfer and joint data ownership as also authorship. Above all, we believe in ethics and practice in conducting utmost ethical research.

We independently track vital events including births, deaths, causes of death, pregnancy outcome, migrations and marital status changes and serves to monitor trends in fertility and mortality inter alia over time. 

The word "Demographic Surveillance" means to keep close track of the population dynamics. Vadu HDSS deals with keeping track of health issues and demographic changes in Vadu rural health program (VRHP) area. It is one of the most promising projects of National relevance that aims at establishing a quasi-experimental intervention research setting with objectives.

1. To create a longitudinal data base for
           a. Efficient service delivery
           b. Future research 
           c. Linking all past micro-studies in Vadu area 
2. Monitoring trends in public health problems 
3. Keeping track of population dynamics 
4. Evaluation of intervention services]]>
      </abstract>
      <sumDscr>
        <timePrd date="2002-10-15" event="start" cycle="Round 1 - Baseline"/>
        <timePrd date="2003-11-30" event="end" cycle="Round 1 - Baseline"/>
        <timePrd date="2004-01-01" event="start" cycle="Round 2"/>
        <timePrd date="2004-06-30" event="end" cycle="Round 2"/>
        <timePrd date="2004-07-01" event="start" cycle="Round 3"/>
        <timePrd date="2004-12-31" event="end" cycle="Round 3"/>
        <timePrd date="2005-01-01" event="start" cycle="Round 4"/>
        <timePrd date="2005-06-30" event="end" cycle="Round 4"/>
        <timePrd date="2005-07-01" event="start" cycle="Round 5"/>
        <timePrd date="2005-12-31" event="end" cycle="Round 5"/>
        <timePrd date="2006-01-01" event="start" cycle="Round 6"/>
        <timePrd date="2006-06-30" event="end" cycle="Round 6"/>
        <timePrd date="2006-07-01" event="start" cycle="Round 7"/>
        <timePrd date="2006-12-31" event="end" cycle="Round 7"/>
        <timePrd date="2007-01-01" event="start" cycle="Round 8"/>
        <timePrd date="2007-06-30" event="end" cycle="Round 8"/>
        <timePrd date="2007-07-01" event="start" cycle="Round 9"/>
        <timePrd date="2007-12-31" event="end" cycle="Round 9"/>
        <timePrd date="2008-01-01" event="start" cycle="Round 10"/>
        <timePrd date="2008-06-30" event="end" cycle="Round 10"/>
        <timePrd date="2008-07-01" event="start" cycle="Round 11"/>
        <timePrd date="2008-12-31" event="end" cycle="Round 11"/>
        <timePrd date="2009-01-01" event="start" cycle="Round 12"/>
        <timePrd date="2009-06-30" event="end" cycle="Round 12"/>
        <timePrd date="2009-07-01" event="start" cycle="Round 13"/>
        <timePrd date="2009-12-31" event="end" cycle="Round 13"/>
        <timePrd date="2010-01-01" event="start" cycle="Round 14"/>
        <timePrd date="2010-06-30" event="end" cycle="Round 14"/>
        <timePrd date="2010-07-01" event="start" cycle="Round 15"/>
        <timePrd date="2010-12-31" event="end" cycle="Round 15"/>
        <timePrd date="2011-01-01" event="start" cycle="Round 16"/>
        <timePrd date="2011-06-30" event="end" cycle="Round 16"/>
        <timePrd date="2011-07-01" event="start" cycle="Round 17"/>
        <timePrd date="2011-12-31" event="end" cycle="Round 17"/>
        <timePrd date="2012-01-15" event="start" cycle="Round 18"/>
        <timePrd date="2012-06-30" event="end" cycle="Round 18"/>
        <timePrd date="2012-07-01" event="start" cycle="Round 19"/>
        <timePrd date="2012-12-31" event="end" cycle="Round 19"/>
        <timePrd date="2013-01-01" event="start" cycle="Round 20"/>
        <timePrd date="2013-06-30" event="end" cycle="Round 20"/>
        <timePrd date="2013-07-01" event="start" cycle="Round 21"/>
        <timePrd date="2013-12-31" event="end" cycle="Round 21"/>
        <timePrd date="2014-01-01" event="start" cycle="Round 22"/>
        <timePrd date="2014-06-30" event="end" cycle="Round 22"/>
        <timePrd date="2014-07-01" event="start" cycle="Roiund 23"/>
        <timePrd date="2014-12-31" event="end" cycle="Roiund 23"/>
        <timePrd date="2015-01-01" event="start" cycle="Round 24"/>
        <timePrd date="2015-06-30" event="end" cycle="Round 24"/>
        <timePrd date="2015-07-01" event="start" cycle="Round 25"/>
        <timePrd date="2015-12-31" event="end" cycle="Round 25"/>
        <timePrd date="2016-01-01" event="start" cycle="Round 26"/>
        <timePrd date="2016-06-30" event="end" cycle="Round 26"/>
        <timePrd date="2016-07-01" event="start" cycle="Round 27"/>
        <timePrd date="2016-12-31" event="end" cycle="Round 27"/>
        <timePrd date="2017-01-01" event="start" cycle="Round 28"/>
        <timePrd date="2017-06-30" event="end" cycle="Round 28"/>
        <timePrd date="2017-07-01" event="start" cycle="Round 29"/>
        <timePrd date="2017-12-31" event="end" cycle="Round 29"/>
        <collDate date="2009-01-01" event="start" cycle="Release Coverage"/>
        <collDate date="2017-12-31" event="end" cycle="Release Coverage"/>
        <nation abbr="IN">
          India
        </nation>
        <geogCover>
          Vadu HDSS covers 22 villages spanning approximately 232 square kilometers with as many as 50,000 households having 140,000 live population across two administrative blocks of Shirur and Haweli in Pune district of Maharashtra in western India.
        </geogCover>
        <anlyUnit>
          Individual
        </anlyUnit>
        <universe>
          This dataset contains the events of all individuals ever resident during the study period (1 Jan 2009 to 31 Dec 2017)
        </universe>
        <dataKind>
          Event history data
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The Scope of demographic surveillance includes demographic characteristics, households, living conditions, social security, access to facilities and services, hygine, education levels, employment status, migration, fertility, mortality, etc

- Household: Household characteristics, household listing, occupation,education and maternal mortality.

- Individual: Individual listing, education, occupation, marital status and movements.

- Women: Pregnancy monitoring]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="BC" affiliation="Vadu HDSS, KEMHRC (IN021)">
          Bharat Chaudhary
        </dataCollector>
        <dataCollector abbr="FRA" affiliation="Vadu HDSS, KEMHRC (IN021)">
          Vadu HDSS Field Research Assistants
        </dataCollector>
        <dataCollector abbr="FRS" affiliation="Vadu HDSS, KEMHRC (IN021)">
          Vadu HDSS Field Research Supervisors
        </dataCollector>
        <frequenc>
          Two rounds per year
        </frequenc>
        <sampProc>
          Vadu area including 22 villages in two administrative blocks is the study area. This area was selected as this is primarily coverage area of Vadu Rural Health Program which is in function since more than four decade. Every individual household is included in HDSS. There is no sampling strategy employed as 100% population coverage in the area is expected.
        </sampProc>
        <collMode>
          Proxy Respondent [proxy]
        </collMode>
        <resInstru>
          <![CDATA[Language of communication is in Marath or Hindi. The form labels are multilingual - in English and Marathi, but the data entered through the forms are in English only. 

1)	Field Worker Checklist Form - The checklist provides a guideline to ensure that all the households are covered during the round and the events occurred in each household are captured.
2)	Enumeration Form: To capture the population details at the start of the HDSS  or any addition of villages afterwards. 
3)	Pregnancy Form: To capture pregnancy details of women in the age group 15 to 49. 
4)	Birth Form: To capture the details of the birth events.   
5)	Inmigration Form: To capture inward population movement from outside the HDSS area and also for movement within the HDSS area. 
6)	Outmigration Form: To capture outward population movement from inside the HDSS area and also for movement within the HDSS area. 
7)	Death Form: To capture death events.]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[1) Training of Fieldworkers:

Training is planned and executed at the centre ie at Vadu HDSS every six months before the data collection round begins. Five days training session is conducted and every training session is evaluated by both the trainees and trainers. Trainers complete daily evaluation by asking questions in order to identify problems that trainees had experienced during that particular day’s training. Areas that needed re- training are revisited the following day. At the end of the training moc interviews are conducted by the trainees.

Survey:

The data collection approach revolves around the use of a team of Field Research Assistants and Field Research Supervisors. The team is assigned a fixed number of EAs to enumerate. The team works together in each sampled EA and moves to the next one, once the targeted EA had been completed. The advantage of this method is that the supervisor is in daily in contact with the team, which improves the quality of the data collection during fieldwork.

Supervisors go to the FRA who have completed the interview and immediately check the questionnaire for errors, consistency and completeness. Where errors are found, the FRA is sent back to the household to correct the information that had been recorded previously. If the supervisors are satisfied, they sign off the questionnaire and store it in a safe place. Supervisors do the same for all the members of their team until the EA had been completed. The team then moves to another selected EA.

The interview is conducted face - to -face which takes approximately 15 - 30 minutes each and this entire process takes around 5 months for every round.

2) Team Size: 20 - 40

3) Language: Marathi & Hindi]]>
        </collSitu>
        <actMin>
          <![CDATA[Field Research Assistants (FRA) collect data from the field on hard copies. There is one Field Research Supervisor (FRS) for every 5 to 6 FRA. Two Field Coordinators supervise over FRS.  Besides the fiedl staffs Vadu HDSS has supervisors in each of the departments including Data Quality Assurance and Data Managerment team.  Entire HDSS is managed by a Project Manager under the leadership of the Center Leader.]]>
        </actMin>
        <weight>
          Not applicable
        </weight>
        <cleanOps>
          <![CDATA[Entered data undergo a data cleaning process. During the cleaning process all error data are either corrected in consultaiton with the data QC team or the respective forms are sent back to the field for re collection of correct data.  Data editors have the access to the raw dataset for making necessary editing after corrected data are bought from the field.

For all individuals whose enumeration (ENU), Inmigration (IMG) or Birth (BTH) have occurred before the left censoring  date (2009-01-01) and have not outmigrated (OMG) or not died (DTH) before the left censoring date (2009-01-01) are included in the dataset as Enumeration (ENU) with EventDate as the left censored date (2009-01-01). But the actual date of observation of the event (ENU, BTH, IMG) is retained in the dataset as observation date for these left censored ENU events. The individual is dropped from the dataset if their end event (OMG or DTH) is prior to the left censoring date (2009-01-01)]]>
        </cleanOps>
      </dataColl>
      <notes>
        <![CDATA[1. Preparation of list of households was automated using HDSS software built using PHP and MySQL
2. All the forms are manually checked to ensure all census forms were completed.
3. Data Entry was done manually using HDSS software built using PHP and MySQL. There are 5 Data Entry Operators.
4. Automated field validation was used on all the forms along with pre manual checking.
5. MySQL Database was used.
6. The ETL process is performed using Pentaho Data Integration Community Edition (PDI CE) - Kettle. All necessary validation checks, quality checks and transformations are designed and implemented using PDI and inconsistencies identified are eliminated from the data set and thus the core micro data set is produced.]]>
      </notes>
      <anlyInfo>
        <respRate>
          On an average the response rate is 99.99% in all rounds over the years.
        </respRate>
        <EstSmpErr>
          Not Applicable
        </EstSmpErr>
        <dataAppr>
          <![CDATA[Data is cleaned to an acceptable level against the standard data rules using Pentaho Data Integration Comminity Edition (PDI CE) tool. After the cleaning process, quality metrics is as follows:

CentreId	MetricTable	QMetric	   Illegal	Legal	Total	Metric	RunDate	
IN021	MicroDataCleaned	Starts	   2	331644	331646	0.	2019-06-23 13:37	
IN021	MicroDataCleaned	Transitions  1	734849	734850	0.	2019-06-23 13:37	
IN021	MicroDataCleaned	Ends	   1	331645	331646	0.	2019-06-23 13:37	
IN021	MicroDataCleaned	SexValues   40	734810	734850	0.	2019-06-23 13:38	
IN021	MicroDataCleaned	DoBValues  480	734370	734850	0.	2019-06-23 13:38	





Note: Except lower under five mortality in 2012 and lower adult mortality among females in 2013, all other estimates are fairly within expected range. Data underwent additional review in terms of electronic data capture, data cleaning and management to look for reasons for lower under five mortality rates in 2013 and lower female adult mortality in 2013.  The additional review returned marginally higher rates and this supplements the validity of collected data. Further field related review of 2012 and 2013 data are underway and any revisions to published data/figures will be shared at a later stage.]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          Vadu (IN021)
        </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:

"Vadu HDSS INDEPTH Core Dataset 2009-2017 (Release 2019). Provided by the INDEPTH Network Data Repository. www.indepth-network.org<http://www.indepth-network.org>.  doi:10.7796/INDEPTH.IN021.CMD2017.v1"]]>
        </citReq>
        <conditions>
          <![CDATA[This data is made available for licensed access under the following conditions: 

1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement. 

2. In the case of multi-centre datasets, data originating from a single contributing member centre of the INDEPTH Network may not be analysed or reported on in isolation without the express permission of the member centre concerned.  

3. No attempt will be made to re-identify respondents, and there will be no use of the identity of any person or establishment discovered inadvertently. Any such discovery will be reported immediately to INDEPTH. 

4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. 

5. Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from INDEPTH will cite the source, in line with the citation requirement provided with the dataset. 

6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. 

7. The original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.]]>
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.
        </disclaimer>
      </useStmt>
    </dataAccs>
    <othrStdyMat>
      <relMat>
        <citation>
          <titlStmt>
            <titl>
              Vadu General Information
            </titl>
          </titlStmt>
          <holdings URI="http://www.kemhrcvadu.org/"/>
        </citation>
      </relMat>
    </othrStdyMat>
  </stdyDscr>
  <fileDscr ID="F1" URI="DDI.INDEPTH.IN021.CMD2017.v1.Nesstar?Index=0&amp;Name=IN021.CMD2017.v1">
    <fileTxt>
      <fileName>
        IN021.CMD2017.v1.NSDstat
      </fileName>
      <fileCont>
        This file contains INDEPTH Core microdataset. This file was generated using ETL through Pentaho Kettle.
      </fileCont>
      <dimensns>
        <caseQnty>
          803853
        </caseQnty>
        <varQnty>
          14
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Vadu HDSS
      </filePlac>
      <dataChck>
        <![CDATA[The following processing checks are done during the ETL process.
A.	If the first event is legal. Like the first event must be enumeration, birth or inmigration.
B.	If the last event is legal. Like the last event must be end of observation, death or outmigration.
C.	If the transition events are legal.
 
· The list of legal transitions:
1)	Birth followed by death
2)	Birth followed by exit
3)	Birth followed by end of observation
4)	Birth followed by outmigration
5)	Death followed by none
6)	Entry followed by death
7)	Entry followed by exit
8)	Entry followed by end of observation
9)	Entry followed by outmigration
10)	Enumeration followed by death
11)	Enumeration followed by exit
12)	Enumeration followed by outmigration
13)	Exit followed by entry
14)	Inmigration followed by Death
15)	Inmigration followed by exit
16)	Inmigration followed by end of observation
17)	Inmigration followed by outmigration
18)	End of observation followed by none
19)	Outmigration followed by none
20)	Outmigration followed by enumeration
21)	Outmigration followed by inmigration

· The list of illegal transitions:
1)	Birth followed by none
2)	Birth followed by birth
3)	Birth followed by entry
4)	Birth followed by enumeration
5)	Birth followed by inmigration
6)	Death followed by birth
7)	Death followed by death
8)	Death followed by entry
9)	Death followed by enumeration
10)	Death followed by exit
11)	Death followed by inmigration
12)	Death followed by outmigration
13)	Death followed by end of observation
14)	Entry followed by none
15)	Entry followed by birth
16)	Entry followed by entry
17)	Entry followed by enumeration
18)	Entry followed by inmigration
19)	Enumeration followed by none
20)	Enumeration followed by birth
21)	Enumeration followed by entry
22)	Enumeration followed by enumeration
23)	Enumeration followed by inmigration
24)	Exit followed by birth
25)	Exit followed by death
26)	Exit followed by exit
27)	Exit followed by end of observation
28)	Exit followed by outmigration
29)	Inmigration followed by none
30)	Inmigration followed by birth
31)	Inmigration followed by entry
32)	Inmigration followed by enumeration
33)	Inmigration followed by inmigration
34)	End of observation followed by birth
35)	End of observation followed by death
36)	End of observation followed by entry
37)	End of observation followed by enumeration
38)	End of observation followed by exit
39)	End of observation followed by inmigration
40)	End of observation followed by end of observation
41)	End of observation followed by outmigration
42)	Outmigration followed by birth
43)	Outmigration followed by death
44)	Outmigration followed by exit
45)	Outmigration followed by end of observation
46)	Outmigration followed by outmigration

· List of edited events:
1)	Exit followed by none
2)	Exit followed by enumeration
3)	Exit followed by inmigration
Outmigration followed by entry]]>
      </dataChck>
      <verStmt>
        <version>
          IN021.CMD2017.v1: Updated dataset for public distribution
        </version>
      </verStmt>
    </fileTxt>
    <notes>
      <![CDATA[MD5Hash
e67fbb88afad3f19de95a9382592e9b8]]>
    </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>
    </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="319766"/>
      </valrng>
      <sumStat type="vald">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        803853
      </sumStat>
      <sumStat type="mean">
        401927
      </sumStat>
      <sumStat type="stdev">
        232052.517
      </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 min="356" max="356"/>
      </valrng>
      <sumStat type="vald">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ISO 3166-1 numeric code of the country in which the surveillance site is situated
      </txt>
      <catgry>
        <catValu>
          356
        </catValu>
        <catStat type="freq">
          803853
        </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">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        An identifier issued by INDEPTH to each member centre of the format CCCSS, where CCC is a sequential centre identifier and SS is a sequential identifier of the site within the centre in the case of multiple site centres
      </txt>
      <catgry>
        <catValu>
          IN021
        </catValu>
        <catStat type="freq">
          803853
        </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="1" max="167625"/>
      </valrng>
      <sumStat type="vald">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
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      </sumStat>
      <sumStat type="max">
        333924
      </sumStat>
      <sumStat type="mean">
        166972.846
      </sumStat>
      <sumStat type="stdev">
        96406.237
      </sumStat>
      <txt>
        A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not be the same as the identifier used by a contributing centre 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">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sex of the individual. 1 for Male and 2 for Female
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Unknown
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          492500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          311353
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="DoB" files="F1" intrvl="discrete">
      <location width="23" RecSegNo="1"/>
      <labl>
        DoB
      </labl>
      <sumStat type="vald">
        803751
      </sumStat>
      <sumStat type="min">
        1857-01-01
      </sumStat>
      <sumStat type="max">
        9191-03-24
      </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="8"/>
      </valrng>
      <sumStat type="vald">
        803853
      </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">
          243262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          435744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          67228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          38730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          10998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          5012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          26
        </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="8"/>
      </valrng>
      <sumStat type="vald">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A number increasing from 1 to EventCount for each event record in order of event occurrence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          294319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          294319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          172688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          27440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          10633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          2
        </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">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A code identifying the type of event that has occurred.
      </txt>
      <catgry>
        <catValu>
          BTH
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          21250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DLV
        </catValu>
        <labl>
          Delivery
        </labl>
        <catStat type="freq">
          17203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          DTH
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          4007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENT
        </catValu>
        <labl>
          Entry
        </labl>
        <catStat type="freq">
          14433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          ENU
        </catValu>
        <labl>
          Enumeration
        </labl>
        <catStat type="freq">
          97713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          EXT
        </catValu>
        <labl>
          Exit
        </labl>
        <catStat type="freq">
          19778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          IMG
        </catValu>
        <labl>
          In-Migration
        </labl>
        <catStat type="freq">
          185898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBE
        </catValu>
        <labl>
          Observation End
        </labl>
        <catStat type="freq">
          294319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          OBL
        </catValu>
        <labl>
          Last Observation
        </labl>
        <catStat type="freq">
          6822
        </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">
          142430
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="EventDate" files="F1" intrvl="discrete">
      <location width="23" RecSegNo="1"/>
      <labl>
        EventDate
      </labl>
      <sumStat type="vald">
        803853
      </sumStat>
      <sumStat type="min">
        2009-01-01
      </sumStat>
      <sumStat type="max">
        2018-01-01
      </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">
      <location width="23" RecSegNo="1"/>
      <labl>
        ObservationDate
      </labl>
      <sumStat type="vald">
        803853
      </sumStat>
      <sumStat type="min">
        2000-02-01
      </sumStat>
      <sumStat type="max">
        2018-12-20
      </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 min="1" max="60789"/>
      </valrng>
      <sumStat type="vald">
        803853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        143136
      </sumStat>
      <sumStat type="mean">
        71627.108
      </sumStat>
      <sumStat type="stdev">
        41317.797
      </sumStat>
      <txt>
        Unique identifier associated with a residential unit within the site and is the location where the individual was or became resident when the event occurred. This identifier is not be 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 min="51" max="164853"/>
      </valrng>
      <sumStat type="vald">
        42489
      </sumStat>
      <sumStat type="invd">
        761364
      </sumStat>
      <sumStat type="min">
        25
      </sumStat>
      <sumStat type="max">
        333924
      </sumStat>
      <sumStat type="mean">
        166496.365
      </sumStat>
      <sumStat type="stdev">
        96691.914
      </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="1" max="8581"/>
      </valrng>
      <sumStat type="vald">
        42489
      </sumStat>
      <sumStat type="invd">
        761364
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        46
      </sumStat>
      <sumStat type="mean">
        1.365
      </sumStat>
      <sumStat type="stdev">
        1.035
      </sumStat>
      <txt>
        The RecNr of the delivery event associated with this birth
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
