Identification
Survey ID Number
SEN_1970-2014_INDEPTH-BHDSS_v01_M
Title
Bandafassi HDSS INDEPTH Core Dataset 1970 - 2014 (Release 2017)
Country
| Name | Country code |
|---|---|
| Senegal | SEN |
Study type
Demographic Surveillance
Series Information
The dataset contains rounds 1 to 47 of demographic surveillance data covering the period from 1 March 1970 to December 2015.
Abstract
The Bandafassi HDSS is located in south-eastern Senegal, near the borders with Mali and Guinea. The area is 700 km from the national capital, Dakar. The population under surveillance is rural and in 2012 comprised 13 378 inhabitants living in 42 villages. Established in 1970, originally for genetic studies, and initially covering only villages inhabited by one subgroup of the population of the area (the Mandinka), the project was transformed a few years later into a HDSS and then extended to the two other subgroups living in the area: Fula villages in 1975, and Bedik villages in 1980. Data gathered include births, marriages, migrations and deaths (including their causes). One specific feature of the Bandafassi HDSS is the availability of genealogies.
Villages are quite small - 270 inhabitants in average - divided in hamlet pour a part. The population density is 19 inhabitants per km².
The population is divided in three living ethnical groups in distinct villages. In 2000, the ethnical groups are :
1 - Bedik (25 % of population).
2 - Malinke (17 %),
3 - Peul (58 %).
The housing unit is the square (or concession) which hosts members of an extended patrilineal family. It contains 17 people in average.Peul and Bedik squares are less populated (15 and 18 people in average) than Malinke squares (27 people in average). Polygamy is intense (160 maried women for 100 maried men). Women maried to the same men usually inhabit in the same square. Each wife has her own hu, sharing the same square courtyard.
Villages are quite small - 270 inhabitants in average - divided in hamlet pour a part. The population density is 19 inhabitants per km².
The population is divided in three living ethnical groups in distinct villages. In 2000, the ethnical groups are :
1 - Bedik (25 % of population).
2 - Malinke (17 %),
3 - Peul (58 %).
The housing unit is the square (or concession) which hosts members of an extended patrilineal family. It contains 17 people in average.Peul and Bedik squares are less populated (15 and 18 people in average) than Malinke squares (27 people in average). Polygamy is intense (160 maried women for 100 maried men). Women maried to the same men usually inhabit in the same square. Each wife has her own hu, sharing the same square courtyard.
Kind of Data
Event history data
Unit of Analysis
Individual
Version
Version Description
CMD2014.v1: For public distribution
Version Date
2017-05-20
Scope
Notes
Event Type
Event Date
Observation Date
Migration Origin & Destination
Death: Cause
Delivery: Live born and Still born counts
Parity
Event Date
Observation Date
Migration Origin & Destination
Death: Cause
Delivery: Live born and Still born counts
Parity
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Demography [N01.224] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Age Distribution [N01.224.033] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Censuses [N01.224.175] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Emigration and Immigration [N01.224.625.350] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Residential Mobility [N01.224.791.700] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Sex Distribution [N01.224.803] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Vital Statistics [N01.224.935] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Life Expectancy [N01.224.935.464] | 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 |
| Rural Population [N01.600.725] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Parity [N06.850.490.812.600] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
| Survival Analysis [N06.850.520.830.998] | MeSH | http://www.ncbi.nlm.nih.gov/mesh |
Keywords
| Keyword |
|---|
| Fertility |
| Mortality |
| Migration |
| Population |
Coverage
Universe
At the census, a person was considered a member of the compound if the head of the compound declared it to be so. This definition was broad and resulted in a de jure population under study. Thereafter, a criterion was used to decide whether and when a person was to be excluded or included in the population.
A person was considered to exit from the study population through either death or emigration. Part of the population of Mlomp engages in seasonal migration, with seasonal migrants sometimes remaining 1 or 2 years outside the area before returning. A person who is absent for two successive yearly rounds, without returning in between, is regarded as having emigrated and no longer resident in the study population at the date of the second round. This definition results in the inclusion of some vital events that occur outside the study area. Some births, for example, occur to women classified in the study population but physically absent at the time of delivery, and these births are registered and included in the calculation of rates, although information on them is less accurate. Special exit criteria apply to babies born outside the study area: they are considered emigrants on the same date as their mother.
A new person enters the study population either through birth to a woman of the study population or through immigration. Information on immigrants is collected when the list of compounds of a village is checked ("Are there new compounds or new families who settled since the last visit?") or when the list of members of a compound is checked ("Are there new persons in the compound since the last visit?"). Some immigrants are villagers who left the area several years before and were excluded from the study population. Information is collected to determine in which compound they were previously registered, to match the new and old information.
Information is routinely collected on movements from one compound to another within the study area. Some categories of the population, such as older widows or orphans, frequently move for short periods of time and live in between several compounds, and they may be considered members of these compounds or of none. As a consequence, their movements are not always declared.
A person was considered to exit from the study population through either death or emigration. Part of the population of Mlomp engages in seasonal migration, with seasonal migrants sometimes remaining 1 or 2 years outside the area before returning. A person who is absent for two successive yearly rounds, without returning in between, is regarded as having emigrated and no longer resident in the study population at the date of the second round. This definition results in the inclusion of some vital events that occur outside the study area. Some births, for example, occur to women classified in the study population but physically absent at the time of delivery, and these births are registered and included in the calculation of rates, although information on them is less accurate. Special exit criteria apply to babies born outside the study area: they are considered emigrants on the same date as their mother.
A new person enters the study population either through birth to a woman of the study population or through immigration. Information on immigrants is collected when the list of compounds of a village is checked ("Are there new compounds or new families who settled since the last visit?") or when the list of members of a compound is checked ("Are there new persons in the compound since the last visit?"). Some immigrants are villagers who left the area several years before and were excluded from the study population. Information is collected to determine in which compound they were previously registered, to match the new and old information.
Information is routinely collected on movements from one compound to another within the study area. Some categories of the population, such as older widows or orphans, frequently move for short periods of time and live in between several compounds, and they may be considered members of these compounds or of none. As a consequence, their movements are not always declared.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Laurence Fleury | Institut de Recherche pour le Développement |
| El-Hadji Ciré Konko Bâ | Institut de Recherche pour le Développement |
| Valérie Delaunay | Institut de Recherche pour le Développement |
| Cheikh Sokhna | Institut de Recherche pour le Développement |
| Gilles Pison | Institut National d'Etudes Démographique |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ousmane Ndiaye | Institut de Recherches pour le Développement | Data Manager |
| Pape Niokhor Diouf | Institut de Recherches pour le Développement | Supervisor |
| Paul Senghor | Institut de Recherches pour le Développement | Verbal autopsy interviwer |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Institut de Recherches pour le Développement | IRD | Current Funder |
| Institut National d'Etudes Démographique | INED | Current Funder |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Emilie Ndiaye | Institut de Recherches pour le Développement | Referencies Management |
Sampling
Sampling Procedure
No samplaing is done
Deviations from the Sample Design
None
Response Rate
On an average the response rate is about 99% over the years for each round.
Weighting
Not applicable
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 1970-01-01 | 2014-12-31 | Release Coverage |
Frequency of Data Collection
One round of data collection took place annual except in 1970 and 2015.
Data Collection Mode
Proxy Respondent [proxy]
Data Collection Notes
INITAL CENSUS - The initial census was followed by several surveys designed to improve the information of the census and collect other data needed for subsequent studies. These included an age survey to estimate ages of adults and children or improve the unreliable data collected on these during the census. It also included a genealogical survey to collect genealogies, going up to known ascendants and down to living collateral relatives. One use of the genealogies in the project is to get detailed information on the relationships between members of a compound and in particular the relationship of each one to the head of the compound (Pison 1985). Finally, a union- and birth-histories survey was conducted for adult men and women.
At the census, a person was considered a member of the compound if the head of the compound declared it to be so. This definition was broad and resulted in a de jure population under study. Thereafter, a criterion was used to decide whether and when a person was to be excluded or included in the population.
A person was considered to exit from the study population through either death or emigration. Part of the population of Mlomp engages in seasonal migration, with seasonal migrants sometimes remaining 1 or 2 years outside the area before returning. A person who is absent for two successive yearly rounds, without returning in between, is regarded as having emigrated and no longer resident in the study population at the date of the second round. This definition results in the inclusion of some vital events that occur outside the study area. Some births, for example, occur to women classified in the study population but physically absent at the time of delivery, and these births are registered and included in the calculation of rates, although information on them is less accurate. Special exit criteria apply to babies born outside the study area: they are considered emigrants on the same date as their mother.
A new person enters the study population either through birth to a woman of the study population or through immigration. Information on immigrants is collected when the list of compounds of a village is checked ("Are there new compounds or new families who settled since the last visit?") or when the list of members of a compound is checked ("Are there new persons in the compound since the last visit?"). Some immigrants are villagers who left the area several years before and were excluded from the study population. Information is collected to determine in which compound they were previously registered, to match the new and old information.
Information is routinely collected on movements from one compound to another within the study area. Some categories of the population, such as older widows or orphans, frequently move for short periods of time and live in between several compounds, and they may be considered members of these compounds or of none. As a consequence, their movements are not always declared.
REGULAR UPDATE ROUNDS - The Mlomp DSS is a multiround demographic surveillance, with annual rounds. Once each year, in February and March, all compounds are visited, and information on events occurring since the last visit is collected. This is done in three steps. First, the list of people present in each compound at the preceding visit is checked, and information is obtained on new births, marriages, migrations, deaths, and current pregnancies. Information is provided by the head of the compound or key informants in the village or hamlet. The information on events is recorded directly on the nominative list.
CONTINUOUS SURVEILLANCE - Information provided by local registers is matched with that collected independently during the surveillance. Information from registers with fair quality is used to systematically correct errors and complete the information collected at the yearly rounds. These are maternity-clinic registers (for prenatal visits and deliveries), civil and parish registers (for births), and dispensary or hospital registers (for death, growth monitoring, and vaccinations). The local dispensary collaborates with the research project, and one completes several registers, in particular a death register. Although the local registers rarely cover the entire population and are sometimes subject to errors, using them improves the quality and the precision of data. Verbal autopsies (VAs) have been performed for all deaths since the beginning of the study. For each death identified in the first step of the annual surveillance, information on its cause is obtained from a close relative of the dead person, usually the mother in the case of a child's death, using a VA questionnaire.
Data management and analysis
Information collected during the baseline and follow-up surveys has been coded and stored in databases designed in 1980s, with some adaptations since then. The information collected during each annual surveillance is processed in two steps: in the villages, it is entered into laptops, with state-of-the-art software, during the surveillance; thereafter, the information is verified and added to the database, using PostgreSQL software.
At the census, a person was considered a member of the compound if the head of the compound declared it to be so. This definition was broad and resulted in a de jure population under study. Thereafter, a criterion was used to decide whether and when a person was to be excluded or included in the population.
A person was considered to exit from the study population through either death or emigration. Part of the population of Mlomp engages in seasonal migration, with seasonal migrants sometimes remaining 1 or 2 years outside the area before returning. A person who is absent for two successive yearly rounds, without returning in between, is regarded as having emigrated and no longer resident in the study population at the date of the second round. This definition results in the inclusion of some vital events that occur outside the study area. Some births, for example, occur to women classified in the study population but physically absent at the time of delivery, and these births are registered and included in the calculation of rates, although information on them is less accurate. Special exit criteria apply to babies born outside the study area: they are considered emigrants on the same date as their mother.
A new person enters the study population either through birth to a woman of the study population or through immigration. Information on immigrants is collected when the list of compounds of a village is checked ("Are there new compounds or new families who settled since the last visit?") or when the list of members of a compound is checked ("Are there new persons in the compound since the last visit?"). Some immigrants are villagers who left the area several years before and were excluded from the study population. Information is collected to determine in which compound they were previously registered, to match the new and old information.
Information is routinely collected on movements from one compound to another within the study area. Some categories of the population, such as older widows or orphans, frequently move for short periods of time and live in between several compounds, and they may be considered members of these compounds or of none. As a consequence, their movements are not always declared.
REGULAR UPDATE ROUNDS - The Mlomp DSS is a multiround demographic surveillance, with annual rounds. Once each year, in February and March, all compounds are visited, and information on events occurring since the last visit is collected. This is done in three steps. First, the list of people present in each compound at the preceding visit is checked, and information is obtained on new births, marriages, migrations, deaths, and current pregnancies. Information is provided by the head of the compound or key informants in the village or hamlet. The information on events is recorded directly on the nominative list.
CONTINUOUS SURVEILLANCE - Information provided by local registers is matched with that collected independently during the surveillance. Information from registers with fair quality is used to systematically correct errors and complete the information collected at the yearly rounds. These are maternity-clinic registers (for prenatal visits and deliveries), civil and parish registers (for births), and dispensary or hospital registers (for death, growth monitoring, and vaccinations). The local dispensary collaborates with the research project, and one completes several registers, in particular a death register. Although the local registers rarely cover the entire population and are sometimes subject to errors, using them improves the quality and the precision of data. Verbal autopsies (VAs) have been performed for all deaths since the beginning of the study. For each death identified in the first step of the annual surveillance, information on its cause is obtained from a close relative of the dead person, usually the mother in the case of a child's death, using a VA questionnaire.
Data management and analysis
Information collected during the baseline and follow-up surveys has been coded and stored in databases designed in 1980s, with some adaptations since then. The information collected during each annual surveillance is processed in two steps: in the villages, it is entered into laptops, with state-of-the-art software, during the surveillance; thereafter, the information is verified and added to the database, using PostgreSQL software.
Questionnaires
Questionnaires
List of questionnaires:
- Household book (used to register informations needed to define outmigrations)
- Delivery questionnaire (used to register information of dispensaire ol mlomp)
- New household questionnaire
- New member questionnaire
- Marriage and divorce questionnaire
- Birth and marital histories questionnaire (for a new member)
- Death questionnaire (used to register the date of death)
- Household book (used to register informations needed to define outmigrations)
- Delivery questionnaire (used to register information of dispensaire ol mlomp)
- New household questionnaire
- New member questionnaire
- Marriage and divorce questionnaire
- Birth and marital histories questionnaire (for a new member)
- Death questionnaire (used to register the date of death)
Data Processing
Data Editing
On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validaton failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction. If the error was due to data inconsistencies that could not be directly traced to a data collection error, the record was referred to the data quality team under the supervision of the senior database scientist. This could request further field level investigation by a team of trackers or could correct the inconsistency directly at database level.
No imputations were done on the resulting micro data set, except for:
a. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG).
b. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event.
c. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG).
d. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event.
e. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an out-migration event (OMG)
In the case of the village that was added (enumerated) in 2006, some individuals may have outmigrated from the original surveillance area and setlled in the the new village prior to the first enumeration. Where the records of such individuals have been linked, and indivdiual can legitmately have and outmigration event (OMG) forllowed by and enumeration event (ENU). In a few cases a homestead exit event (EXT) was followed by an enumeration event in these cases. In these instances the EXT events were changed to an out-migration event (OMG).
No imputations were done on the resulting micro data set, except for:
a. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG).
b. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event.
c. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG).
d. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event.
e. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an out-migration event (OMG)
In the case of the village that was added (enumerated) in 2006, some individuals may have outmigrated from the original surveillance area and setlled in the the new village prior to the first enumeration. Where the records of such individuals have been linked, and indivdiual can legitmately have and outmigration event (OMG) forllowed by and enumeration event (ENU). In a few cases a homestead exit event (EXT) was followed by an enumeration event in these cases. In these instances the EXT events were changed to an out-migration event (OMG).
Other Processing
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
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
Estimates of Sampling Error
Not applicable
Data Appraisal
CenterId Metric Table QMetric Illegal Legal Total Metric Rundate
SN011 MicroDataCleaned Starts 26293 2017-05-20 00:00
SN011 MicroDataCleaned Transitions 0 85058 85058 0 2017-05-20 00:00
SN011 MicroDataCleaned Ends 26293 2017-05-20 00:00
SN011 MicroDataCleaned SexValues 50 85008 85058 0 2017-05-20 00:00
SN011 MicroDataCleaned DoBValues 85058 2017-05-20 00:00
SN011 MicroDataCleaned Starts 26293 2017-05-20 00:00
SN011 MicroDataCleaned Transitions 0 85058 85058 0 2017-05-20 00:00
SN011 MicroDataCleaned Ends 26293 2017-05-20 00:00
SN011 MicroDataCleaned SexValues 50 85008 85058 0 2017-05-20 00:00
SN011 MicroDataCleaned DoBValues 85058 2017-05-20 00:00
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| iSHARE2 Help desk | INDEPTH | help-data@indepth-network.org | help-data@indepth-network.org |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| iSHARE2 Helpdesk | INDEPTH | help-data@indepth-network.org | http://indepth-ishare.org/howtouse |
Confidentiality
This data ononymised and no confidentiality agreement in addition to the general data 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 inference
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 inference
Citation requirements
Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the format from :
"Bandafassi HDSS INDEPTH Core Dataset 1970-2014 (Release 2017). Provided by the INDEPTH Network Data Repository.www.indepth-network.org <http://www.indepth-network.org>, doi:10.7796/INDEPTH.SN011.CMD2014.v1"
"Bandafassi HDSS INDEPTH Core Dataset 1970-2014 (Release 2017). Provided by the INDEPTH Network Data Repository.www.indepth-network.org <http://www.indepth-network.org>, doi:10.7796/INDEPTH.SN011.CMD2014.v1"
Archive where study is originally stored
IRD: Bandafassi (SN011)
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.