Rufiji HDSS INDEPTH Core Dataset 1999 - 2014 (Release 2017)

Tanzania, 1999 - 2014

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Reference ID

TZA_1999-2014_INDEPTH-RHDSS_v01_M

Producer(s)

Dr. Eveline Gaubbel, Mr. Sigilbert Mrema

Metadata

DDI/XML JSON

Created on

Sep 19, 2018

Last modified

Sep 19, 2018

Page views

1628

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Identification

Survey ID number

TZA_1999-2014_INDEPTH-RHDSS_v01_M

Title

Rufiji HDSS INDEPTH Core Dataset 1999 - 2014 (Release 2017)

Country

Name	Country code
Tanzania	TZA

Study type

Demographic Surveillance

Series Information

Rounds 0 is the baseline
Three rounds per year from 1998 to 2012
Two round per year from 2013 onwards
Completed 44 rounds till December 2013
Completed 48 rounds till December 2015

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 mailto:dc@ihi.or.tz). Requests for data are subject to ethics committee approval and will only be accepted from bona fide researchers with specified research objectives or collaborations.

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

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
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 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 area

Producers and sponsors

Primary investigators

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

Producers

Name	Affiliation	Role
Mr. Imani Irema	Ifakara Health Institute	Data Officer
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 Agency/Sponsor

Name
Ministry of Health and Social Welfare of Tanzania
International Development Research Center
UK Department for International Development
Rockefeller Foundation
Bill and Melinda Gates Foundation
Doris Duke Charitable Foundation
Comic Relief, UK
European Union FP7
United State Urgency for International Development
US Centres for Disease Control
Global Fund for HIV, TB and Malaria
RBM-MTIMBA
President’s Malaria Initiative
INDEPTH Network

Other Identifications/Acknowledgments

Name	Affiliation
Fieldworkers	Ifakara Health Institute
Data Clerks	Ifakara Health Institute
Rufiji HDSS Villagers	Ifakara Health Institute

Sampling

Sampling Procedure

No sampling.

Deviations from the Sample Design

Not applicable

Response Rate

Response rate: In Rufiji HDSS information on refusals is not collected. However, active community engagement programmes which includes Key Informants (KIs) days, where the HDSS team convenes meetings with KIs for presentations on recent findings to feed back to community and distribution of news letters to households are in place. Community sensitization events are held at the time of introducing new studies. Those initiatives have cemented good relationship with the community and eventually maintained high participation.

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
1999-01-01	2014-12-31	Release Coverage

Frequency of Data Collection

Three times per year from 1998 to 2012.
Two time per year from 2013 onwards.

Data Collectors

Name	Affiliation
Liberate Kahumba	Data Manager
Mary Godwin Shuma	Assistant Field Manager

Data Collection Notes

Paper based data collection and fed into HRS2 system upto 2012.
From 2013 migrated to tablet based data colection on OpenHDS platform.

Data processing

Data Editing

Data processing: Data from the field are collected for entry at the data center. Data is entered into the server through a network of workstations. Until 2014, the HDSS used custom designed software called the Household Registration System 2 (HRS 2) developed in Visual FoxPro 6.

The following processing checks are done during the ETL process.

If the first event is legal. Like the first event must beenumeration, birth or inmigration.
If the last event is legal. Like the last event must be end of observtion, death or outmigration.
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

Estimates of Sampling Error

Not applicable

Data Appraisal

INDEPTH-data quality metrics: To ensure data quality Rufiji HDSS portions this process into two sections. In the field section, quality of collected information is monitored through a validation process where 3-5% of households are sampled at random for re-interview by a field supervisor who validates the previous collected data. In the data management section, the software used in data management is able to identify some inconsistencies. 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
TZ012 MicroDataCleaned Starts 205383 2017-05-19 10:31
TZ012 MicroDataCleaned Transitions 0 514426 514426 0 2017-05-19 10:31
TZ012 MicroDataCleaned Ends 205383 2017-05-19 10:32
TZ012 MicroDataCleaned SexValues 4 514422 514426 0 2017-05-19 10:32
TZ012 MicroDataCleaned DoBValues 2 514424 514426 0 2017-05-19 10:32

Access policy

Archive where study is originally stored

Ifakara Health Institute : Rufiji (TZ012)

Data Access

Access authority

Name	Affiliation	URL	Email
iSHARE2	INDEPTH	http://indepth-ishare.org	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 in addition to the data sharing policy is required.

Access conditions

Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH’s written agreement.
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.
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.
No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals.
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.
An electronic copy of all publications based on the requested data will be sent to INDEPTH.
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 format from:

"Rufiji HDSS INDEPTH Core Dataset 1999-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org http://www.indepth-network.org. doi:10.7796/INDEPTH.TZ012.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.

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

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

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