Tanzania - Rufiji HDSS Core Micro Dataset 1998 - 2012 - Release 2015
Reference ID | INDEPTH.TZ012.CMD2012.V1 |
Year | 1998 - 1999 |
Country | Tanzania |
Producer(s) |
Dr. Eveline Gaubbel - Thematic group leader of M&E Ifakara Health Institute Mr. Sigilbert Mrema - Unit leader of Rufiji Health and Demographic Surveillance System |
Sponsor(s) | Ministry of Health and Social Welfare of Tanzania - MoHSW - International Development Research Center - IRDC - UK Department for International Development - DFID - Rockefeller Foundation - RF - Bill and Melinda Gates Foundation - BMGF |
Collection(s) | |
Metadata |
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Created on
Jun 30, 2015
Last modified
Nov 06, 2018
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74857
Overview
Identification
ID Number INDEPTH.TZ012.CMD2012.V1 |
Version
Version Description
CMD2012.v1 Updated document for public distributionProduction Date
2015-06-11Overview
Abstract
The Rufiji Health and Demographic Surveillance System (HDSS) was established in October 1998 to evaluate the impact on burden of disease of health system reforms based on locally generated data, prioritization, resource allocation and planning for essential health interventions. The Rufiji HDSS collects detailed information on health and survival and provides a framework for population based health research of relevance to local and national health priorities. In December 2011 the population under surveillance was about 97,000 people, residing in 19,000 households. Monitoring of households and members within households is undertaken in regular four months cycles known as “rounds”. Self-reported information is collected on demographic, household, socio-economic and geographic characteristics. Verbal Autopsy is conducted using standardized questionnaires, to determine probable causes of death.Basic Rufiji HDSS data and data requisition forms are available at www.data.ihi.or.tz Access to online data requires permission from the Data Centralization Team (dc@ihi.or.tz
Kind of Data
Event history dataUnits of Analysis
IndividualScope
Notes
Homestead: In this subject the following information are collected: Latitude, longitude, altitude, village name, village code, name of hamlet and location identifier (Location ID). Household: Rufiji HDSS define household as a as a group of individuals sharing, or who eat from, the same cooking pot. In this subject the following in are collected: Household name and household head.On Individuals, information like names (Give name, Middle name and Family name), sex, birthdate, marital status, relation to household head, occupation, education level and individual ID.
To residency, the following information such as residency status (resident, died, out-migrated), marital status to members with =13 years of age, pregnancy status for women aged 13-49 years, location ID and Individual ID are collected.
Pregnancy outcome: In this theme, the following information are collected; live birth, number of babies, still birth, abortion, date of birth, place of birth, names (3), sex of child, mother's personal identity number (link), father's personal identity number.
Death: In this theme information collect are, date of death, place of death, individual ID, Age at Death and field worker collected.
Verbal Autopsy is 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 (3), 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.
Topics
Topic | Vocabulary | URI |
---|---|---|
Demography [N01.224] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Coverage
Geographic Coverage
The Demographic Surveillance Area (DSA) is located in Rufiji District, Coastal Region Tanzania about 178 km south of Dar es Salaam city and extends between south latitude -7.47° and -8.03°S and east longitude 38.62° and 39.17°E. The Rufiji HDSS covers 1,813 km2 that comprising 38 villages of Rufiji district. The district is largely rural though population is clustered around Utete (outside the DSA, District headquarters), Ikwiriri, Kibiti and Bungu townships (Figure 2). The population density of Rufiji HDSS is about 53 people per kilometer square and the average population per village is about 2,552 inhabitants.As a district observatory, information which is collected by Rufiji HDSS can be used by nearby districts with similar ecological characteristics for planning purposes
Universe
All residents in HDSS areaProducers and Sponsors
Primary Investigator(s)
Name | Affiliation |
---|---|
Dr. Eveline Gaubbel | Thematic group leader of M&E Ifakara Health Institute |
Mr. Sigilbert Mrema | Unit leader of Rufiji Health and Demographic Surveillance System |
Other Producer(s)
Name | Affiliation | Role |
---|---|---|
Prof. Eliuther Mwageni | Ifakara Health Institute | Technical assistance in questionnaire design |
Prof. Don de Savigny | SwissTPH | Technical assistance in questionnaire design |
Dr. Honorati Masanja | Ifakara Health Institute | Technical assistance in questionnaire design |
Prof. Eliuther Mwageni | Ifakara Health Institute | Technical assistance in sampling methodology/selection |
Prof. Don de Savigny | SwissTPH | Technical assistance in sampling methodology/selection |
Dr. Honorati Masanja | Ifakara Health Institute | Technical assistance in sampling methodology/selection |
Mr. Sigilbert Mrema | Ifakara Health Institute | Technical assistance in data collection |
Mr. Kahema Irema | Ifakara Health Institute | Technical assistance in data collection |
Mr. Francis Levira | Ifakara Health Institute | Technical assistance in data processing |
Mr. Amaniel Mono | Ifakara Health Institute | Technical assistance in data processing |
Mr. Liberati Kahumba | Ifakara Health Institute | Technical assistance in data processing |
Dr. Honorati Masanja | Ifakara Health Institute | Technical assistance in data analysis |
Mr. Francis Levira | Ifakara Health Institute | Technical assistance in data analysis |
Mr. Sigilbert Mrema | Ifakara Health Institute | Technical assistance in data analysis |
Funding
Name | Abbreviation | Role |
---|---|---|
Ministry of Health and Social Welfare of Tanzania | MoHSW | |
International Development Research Center | IRDC | |
UK Department for International Development | DFID | |
Rockefeller Foundation | RF | |
Bill and Melinda Gates Foundation | BMGF | |
Doris Duke Charitable Foundation | DDCF | |
Comic Relief, UK | Comic Relief, UK | |
European Union FP7 | UE-FP7 | |
United State Urgency for International Development | USAID | |
US Centres for Disease Control | USAID | |
Global Fund for HIV, TB and Malaria | GFATM | |
RBM-MTIMBA | RBM-MTIMBA | |
President’s Malaria Initiative | PMI | |
INDEPTH Network | INDEPTH Network |
Other Acknowledgements
Name | Affiliation | Role |
---|---|---|
Fieldworkers | Ifakara Health Institute | |
Data Clerks | Ifakara Health Institute | |
Rufiji HDSS Villagers | Ifakara Health Institute |
Metadata Production
Metadata Produced By
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
iSHARE2 Technical Team | iS2TT | INDEPTH Network | Documentation of the study |
INDEPTH Network | INDEPTH | INDEPTH Network | agency |
Ifakara Health Institute | IHI | agency | |
Justine Govella | IHI | Ifakara Health Institute | Author |
Jumanne Kisweka | IHI | Ifakara Health Institute | Author |
Date of Metadata Production
2015-07-27DDI Document Version
CMD2012.V1CMD2012.v2
DDI Document ID
DDI.INDEPTH.TZ012.CMD2012.V2