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Ifakara Rural INDEPTH Core Dataset 1997 - 2014 (Release 2017)

Tanzania, 1997 - 2014
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Reference ID
TZA_1997-2014_INDEPTH-IHDSS_v01_M
Producer(s)
Eveline Geubbels
Metadata
DDI/XML JSON
Created on
Sep 19, 2018
Last modified
Sep 19, 2018
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Access policy
  • Data Access
  • Disclaimer and copyrights
  • Contacts

    • Identification

    Survey ID number

    TZA_1997-2014_INDEPTH-IHDSS_v01_M
    Title

    Ifakara Rural INDEPTH Core Dataset 1997 - 2014 (Release 2017)
    Country
    Name Country code
    Tanzania TZA
    Study type

    Demographic Surveillance
    Series Information

    Round 1 to 54 from July 1997 to December 2015
    Abstract

    Longitudinal data gathered from health surveillance is very essential, when combined with detailed demographic information, can provide invaluable insight into public health needs and importance. Ifakara DSS is one of the oldest site that managed by Ifakara Health Institute in Tanzania. It is located in remote area of the river valley of Kilombero in Morogoro region. The site was set up on 1996 with the main focus on the impact evaluation of malaria intervention on child health and survival. In early 2000s, it extends its initiatives on population monitoring and evaluation of community health intervention programs and researches on adult health and older people of Kilombero and Ulanga districts. Since its inception the HDSS has been very instrumental in producing population evidence base with the potential to guide policy and action in public health related needs and population changes over time.

    The Ifakara DSS is continuous demographic surveillance, consisting of initial and repeat censuses of the chosen population after every four months, registering each individual resident and recording their associated information, such as household socioeconomic status, Individual education status, marital status, bed net ownership, pregnancy and pregnancy outcome. Health outcomes and vital events (e.g. births, deaths, in and out migration) in the DSS area are then linked to individual demographic records for precise estimate. This help to understand the dynamism of the population over time in terms of fertility, mortality and migration. It provides data for calculating the denominators of demographic rates. The cause of death for specific age group is also administered through standardized verbal autopsy questionnaire adopted from the In-depth network.

    The objectives of Ifakara DSS

    • To collect accurate information on child health and survival,
    • To provide a framework for population based health research which is relevant to the local health priorities and needs,
    • To evaluate/test health tools and community well being interventions
    • To monitor some of the NSGRP/MDG indicators.
    • To document all births, deaths, In and out migration on the DSS area
    • To quantify the impact of health and poverty reduction strategies and intervention
    • To document the trend of cause specific mortality (burden of disease) of Kilombero and Ulanga districts

    The access for Ifakara demographic data is currently abided by the institutional data sharing policy and procedure fall under the data centralization team (dc@ihi.or.tz mailto:dc@ihi.or.tz) while the forms for data requisition and extraction are online available at www.ihidata.org http://www.ihidata.org. All requests of data by either online or physical should be subjected to institutional committee for ethical approval and being only accepted by field researchers with regards to specified objectives or the existing collaboration between two parts.
    Kind of Data

    Event history data
    Unit of Analysis

    Individual

    Version

    Version Description

    CMD2014.v1: Edited dataset for public distribution
    Version Date

    2017-05-20

    Scope

    Notes

    The Ifakara HDSS collects and updates detailed information from the study area of Kilombero and Ulanga districts. Some of these include Homestead information: such as Latitude, longitude, altitude, village name, village code, name of hamlet and location identifier (Location ID). Other related issues are Household Information like household names and household heads.

    The term household is referred by HDSS as a group of individuals who share, or eat from, the same cooking pot.

    On Individuals, information like names (Given name, Middle name and Family name), sex, birth date, marital-status, relation to household head, occupation, education level and individual ID.

    While on residency, the information of residency status is also captured for instance; resident, died or out-migrated), marital status to members equal to 13 years of age, pregnancy status for women aged 13-49 years, location ID and Individual ID.

    Pregnancy outcome related information: In this theme information of live birth, number of babies, still birth, abortion, date of birth, place of birth, names, sex of child, mother's personal identity number (link), father's personal identity number are collected. Death: In this theme information collected are date of death, place of death, age at Death and individual ID are collected.

    Verbal Autopsy is also done to identify the probable cause of death.

    In-migration: In this theme the following information are collected: Date of in-migration, Individual ID, names, sex, date of birth of migrant, reason for in-migration, relation to household head, origin of migration episode and whether the migrant had a previous residence within the Rufiji HDSS.

    Out-migration: Date of out-migration, Individual ID, reason for out-migration and destination of migration episode. Finally, the social economic status information is updated once per year.
    Topics
    Topic Vocabulary URI
    Demography [N01.224] MeSH http://www.ncbi.nlm.nih.gov/mesh
    Emigration and Immigration [N01.224.625.350] MeSH http://www.ncbi.nlm.nih.gov/mesh
    Mortality [N01.224.935.698] MeSH http://www.ncbi.nlm.nih.gov/mesh
    Birth Rate [N01.224.935.849.500] MeSH http://www.ncbi.nlm.nih.gov/mesh
    Keywords
    Fertility Mortality Migration

    Coverage

    Geographic Coverage

    The Ifakara Health and Demographic Surveillance System (HDSS) area is located in southern Tanzania in parts of two districts, Kilombero and Ulanga both in Morogoro region (latitude 8° 00.'to 8° 35'S, altitude 35° 58 to 36° 48'E). It covers a total of 25 villages in rural area of Ulanga nd Kilombero districts, with a population of about 124,000 people in 28,000 households.
    Universe

    The Ifakara Rural DSS covered a total of 25 villages in Ulanga and Kilombero districts comprising 127,450 people residing in 22,670 households. In 2007, the Ifakara HDSS extended its area of coverage by including 5 villages of Ifakara town which comprised by 45000 people residing in approximately 12000 households. This is a home of about 25% of the African population with social, economic and demographic importance.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Eveline Geubbels Thematic group leader of M&E Ifakara Health Institute
    Producers
    Name Affiliation Role
    Mr Imani Irema Ifakara Health Institute Data Officer
    Dr. Rose Nathan Ifakara Health Institute Technical assistance in questionnaire design:
    Dr. Honorati Masanja Ifakara Health Institute Technical assistance in questionnaire design:
    Mr. Oskar Mukasa Ifakara Health Institute Technical assistance in questionnaire design:
    Dr. Rose Nathan Ifakara Health Institute Technical assistance in sampling methodology/selection:
    Dr. Honorati Masanja Ifakara Health Institute Technical assistance in sampling methodology/selection:
    Mr. Oskar Mukasa Ifakara Health Institute Technical assistance in sampling methodology/selection:
    Mr Amri Shamte Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr Chrisostom Mahutanga Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr Jensen Charles Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr. Advocatus Kakorozya Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr. Tumaini Kilimba Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr. Aurelio DiPasquale Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr. Nicolas Maire Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr Ramadhan Abdul Ifakara Health Institute Technical assistance in data processing
    Mr Jumanne Kisweka Ifakara Health Institute Technical assistance in data processing
    Mr Jackson Francis Ifakara Health Institute Technical assistance in data processing
    Dr Rose Nathan Ifakara Health Institute Technical assistance in data analysis
    Mr. Francis Levira Ifakara Health Institute Technical assistance in data collection and system upgrading
    Dr. Honorati Masanja Ifakara Health Institute Technical assistance in data collection and system upgrading
    Dr. Eveline Geubbels Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr Ramadhan Abdul Ifakara Health Institute Technical assistance in data collection and system upgrading
    Mr Amri Shamte Ifakara Health Institute Technical assistance in data collection and system upgrading
    Funding Agency/Sponsor
    Name
    Ministry of Health and Social Welfar
    Swiss Tropical Institute
    Bill and Melinda Gates Foundation
    Global Fund for to Fight HIV/AIDS, TB and Malaria
    Doris Duke Charitable Foundation
    Comic Relief, UK
    Novatus Foundation for Suitable Development
    United State Urgency for International Development
    World Bank
    World Health Organization
    UK Department for International Development
    Other Identifications/Acknowledgments
    Name Affiliation
    Fieldworkers Ifakara Health Institute
    IT Support staffs Ifakara Health Institute
    Field supervisors Ifakara Health Institute
    Data Clerks Ifakara Health Institute
    Key Informants Community
    Village Leaders Community

    Sampling

    Sampling Procedure

    Not Applicable
    Deviations from the Sample Design

    None
    Response Rate

    98% of the residents from the Ifakara DSS area accept to participate on surveillance studies. All refusal are documented and being followed by the field management team to identify its causal or reasons. To ensure effective community engagement on health researches, the Ifakara HDSS have introduced several programs such the use of Community Advisory Board which comprised by members from the grass root of the community. Their main responsibility is to raise community awareness and sensitization and sending feedback to the community about ongoing research activities form the platform. Besides that the Ifakara DSS team uses Key Informants (KIs) and hamlet leaders as a community representative to convene various meetings over the field areas and giving out the progressive reports to feedback the community. Also newsletters and fliers are distributed to the community. This tool is reconstructed in a lay language that everyone can understand. Through these programs strong relation are built as a result of improving community participation on health research activities.
    Weighting

    Not Applicable

    Survey instrument

    Questionnaires

    The questionnaires are designed to capture the core HDSS information which includes the baseline, birth, inmigration, outmigration and death along with the other questionnaires.

    Data collection

    Dates of Data Collection
    Start End Cycle
    1997-01-01 2014-12-31 Release Coverage
    Frequency of Data Collection

    Three rounds per year from 1996 to 2012
    Two rounds per year from 2013 onwards
    Data Collectors
    Name Affiliation
    Omary Kayuga
    Gloria Shirima Data Clerk
    Johnson Ngenga Data Clerk
    Constantine Lyambiko Data Clerk
    Upendo salamtwa Data Clerk
    Rehema Erasto Data Clerk
    Novatus Chagodola Data Clerk
    Halima Mbulete Data Clerk
    Kalimbo Nkuba Data Clerk
    Honesta Mzyangizyangi Data Clerk
    Dionesia Mponsidawa Data Clerk
    Ally Mpangile Data Clerk
    Beatrice Njavike Data Clerk
    Alhaji Hangahanga Data Clerk
    Agnes Mhala Data Clerk
    Joseph Mwoja Data Clerk
    Expetus Ligoho Data Clerk
    Enhadi Mhesi Data Clerk
    Fariji Mwamtobe Data Clerk
    Serafim Sali Data Clerk
    Eligius Mpwagi Data Clerk

    Data processing

    Data Editing

    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

    Data appraisal

    Data Appraisal

    The qualities of information collected by Ifakara DSS are highly prioritized from the initial point of data collection from the field section up to data management level. For-instance in the field section 90% of field managers' time spent on the field while the quality of information is monitored through validation process where 3-5% of households are randomly sampled for re-interview by a field supervisor who validates the previous collected information. Moreover, sport checks and accompanied visit is done by field management team to evaluate every field interviewer if they comply or adhere with cord of conduct and standard operating procedure (ethics) when they are collecting field information.

    Further more the HDSS data is collected through the use of electronic devices (tablets) to ensure timely access of quality, consistent and accurate data. Beside that on the data management section, the HRS2 software is used to track some of the inconsistencies form the data base for immediate follow-up. Some of them are edited online and others are printed and reported back to the field for more clarification and correction. Finally the clean data base is archived for report generation.

    CentreId MetricTable QMetric Illegal Legal Total Metric RunDate
    TZ011 MicroDataCleaned Starts 311047 2017-05-18 18:38
    TZ011 MicroDataCleaned Transitions 0 727834 727834 0 2017-05-18 18:39
    TZ011 MicroDataCleaned Ends 311047 2017-05-18 18:40
    TZ011 MicroDataCleaned SexValues 74 727760 727834 0 2017-05-18 18:40
    TZ011 MicroDataCleaned DoBValues 727834 2017-05-18 18:40

    Access policy

    Archive where study is originally stored

    Ifakara Health Institute : Ifakara Rural (TZ011)

    Data Access

    Access authority
    Name Affiliation Email
    iSHARE2 INDEPTH help-desk@indepth-network.org
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes This data is anonymized and no confidetiality agreement is addition to the confidetiality for the use agreement is required
    Access conditions

    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.
    Citation requirements

    Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:

    "Ifakara Rural INDEPTH Core Dataset 1997-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org http://www.indepth-network.org. doi:10.7796/INDEPTH.TZ011.CMD2014.v1"

    Disclaimer and copyrights

    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.
    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.

    Contacts

    Contacts
    Name Affiliation Email URL
    iSHARE2 Helpdesk INDEPTH Network help-data@indepth-network.org http://indepth-ishare.org/howtouse
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