DDI_KEN_2003-2014_INDEPTH-NUHDSS_v01_MiSHARE2 Technical TeamData & Measurement Unit of KE031Nelson Mbaya2017-05-17NADA- v01 (May 2017)
The DDI was produced by INDEPTH Network. It was downloaded on October 13, 2017 from http://www.indepth-ishare.org/index.php/catalog/127/ by the World Bank Microdata Library documentation team.
- v02 (October 2017)
Modifications in the study ID and DDI ID were done by the World Bank Microdata Library documentation team to match the standard used by the library and the IHSN Survey Catalog. Some metadata fields were also edited.Nairobi Urban HDSS INDEPTH Core Dataset 2003 - 2014 (Release 2017)INDEPTH-NUHDSS 2003-14KEN_2003-2014_INDEPTH-NUHDSS_v01_MDr.Alex EzehDr.Donatien Beguy
Residents of Korogocho and Viwandani Slums
Nelson Mbaya
Residents of Korogocho and Viwandani Slums
Clement OduorKanyiva MuindiNelson MbayaMarylene WamukoyaPatricia Elung'ataThis 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.NADABill and Melinda Gates Foundation, USAWilliam and Flora Hewlett Foundation, USASwedish International Development Cooperation AgencyWellcome Trust, UKRockefeller Foundation, USAiSHARE2 HelpdeskDemographic SurveillanceThis data is collected from Rounds 1 to 38 of the demographic surveillance rounds. The 1st round of data collection started on 1st August 2002, and as of 31st December 2015, 38 rounds of data collection had been completed. Data is collected 3 times year, once after every 4-months.CMD2014.v1: Cleaned and anonymized dataset of the core microdata 2002-2014 for public distribution17 May 2017 - Raw dataset first extracted and cleaning completed.MigrationFertilityMortalityPopulationDemography [N01.224]Age Distribution [N01.224.033]Censuses [N01.224.175]Family Characteristics [N01.224.361]Health Status Disparities [N06.850.505.400.425.675]Population Dynamics [N01.224.625]Residential Mobility [N01.224.791.700]Residence Characteristics [N01.224.791]Sex Ratio [N01.224.803.815]Vital Statistics [N01.224.935]Urban Health [N01.400.800]Urban Population [N01.600.900]Educational Status [N01.824.196]Employment [N01.824.245]Occupations [N01.824.547]Poverty [N01.824.600]Social Conditions [N01.824.827]Policy [N03.623]Health Services Research [N05.425]Epidemiologic Factors [N05.715.350]The places we live affect our health status and the choices and opportunities we have (or do not have) to lead fulfilling lives. Over the past ten years, the African Population & Health Research Centre (APHRC) has led pioneering work in highlighting some of the major health and livelihood challenges associated with rapid urbanization in sub-Saharan Africa (SSA). In 2002, the Centre established the first longitudinal platform in urban Africa in the city of Nairobi in Kenya. The platform known as the Nairobi Urban Health and Demographic Surveillance System collects data on two informal settlements - Korogocho and Viwandani - in Nairobi City every four months on issues ranging from household dynamics to fertility and mortality, migration and livelihood as well as on causes of death, using a verbal autopsy technique. The dataset provided here contains key demographic and health indicators extracted from the longitudinal database. Researchers interested in accessing the micro-data can look at our data access policy and contact us.KenyaThe Demographic Surveillance Area (combining Viwandani and Korogocho slum settlements) covers a land area of about 0.97 km2, with the two informal settlements located about 7 km from each other. Korogocho is located 12 km from the Nairobi city center; in Kasarani division (now Kasarani district), while Viwandani is about 7 km from Nairobi city center in Makadara division (now Madaraka district). The DSA covers about seven villages each in Korogocho and Viwandani.IndividualBetween 1st January and 31st December,2015 the Nairobi HDSS covered 86,304 individualis living in 30,219 households distributed across two informal settlements(Korogocho and Viwandani) were observed. All persons who sleep in the household prior to the day of the survey are included in the survey, while non-resident household members are excluded from the survey.
The present universe started out through an initial census carried out on 1st August,2002 of the population living in the two Informal settlements (Korogocho and Viwandani). Regular visits have since then been made (3 times a year) to update information on births, deaths and migration that have occurred in the households observed at the initial census. New members join the population through a birth to a registered member, or an in-migration, while existing members leave through a death or out-migration. The DSS adopts the concept of an open cohort that allows new members to join and regular members to leave and return to the system.Event history data- Enumeration, Birth, Migration and DeathData and Measurement UnitThree rounds in a yearThis dataset is related to the whole demographic surveillance area population. The number of respondents has varied over the last 13 years (2002-2015), with variations being observed at both household level and at Individual level. As at 31st December 2015, 66,848 were being observed under the Nairobi HDSS living in 25,812 households distributed across two informal settlements(Korogocho and Viwandani). The variable IndividualId uniquely identifies every respondent observed while the variable LocationId uniquely identifies the room in which the individual was living at any point in time. To identify individuals who were living together at any one point in time (a household) the data can be split on location and observation dates.NoneProxy Respondent [proxy]Questionnaires are printed and administered in Swahili, the country's national language.
The questionnaires for the Nairobi HDSS were structured questionnaires based on the INDEPTH Model Questionnaire and were translated into Swahili with some modifications and additions.After an initial review the questionnaires were translated back into English by an independent translator with no prior knowledge of the survey. The back translation from the Swahili version was independently reviewed and compared to the English original. Differences in translation were reviewed and resolved in collaboration with the original translators. The English and Swahili questionnaires were both piloted as part of the survey pretest.
At baseline, a household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. In later rounds questionnaires to track the migration of the population observed at baseline, and additonal questionnaires to capture demographic and health events happening to the population have been introduced.Interviews are conducted in Swahili (the country's national language), with translation into the local dialects in specific situations where the respondent is unable to understand Swahili. A detailed 4-week training of enumerators was conducted at baseline. Currently, 3-5 days refresher trainings are conducted at the start of each new round of data collection
The field team constitutes 32 staff: 25 interviewers,4 team leaders, 2 supervisors, and 1 field coordinator. On average a complete household interview takes between 30 minutes and 45 minutes to complete. Interviews took place everyday throughout the field work period, with teams being permitted to take only one day off per week.
Prior to the baseline detailed community sensitization was undertaken, in latter rounds however community liaison has constituted, feedback barazas, and intervention activities targeted to address community health-related problems identified during the data collection. Intervention activities are carried out through piggy-back studies with targeted interventions, for example a maternal and child health study had a component of interventions to address mother and child health-complications, or through bi-annual health camps at which free medical treatment is provided for conditions identified as prevalent in the community during data collection.Interviewing is conducted by teams of interviewers. Each interviewing team comprised 3-4 interviewers, a field editor and a site supervisors. The role of the supervisor is to coordinate field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accomodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office. The field editor is responsible for reviewing each questionnaire at the end of the day, checking for missed questionnaires, skip errors, fields incorrectly completed, and checking for inconsistencies in the data. The field editor also observed interviews and conducted review sessions with interviewers. Responsibilities of the supervisors and field editors are described in the Instructions for Supervisors and Field Editors, together with the different field controls that were in place to control the quality of the fieldwork.Not applicableData editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of STATA data files
Where changes were made by the program, a cold deck imputation is preferred; where incorrect values were imputed using existing data from another dataset. If cold deck imputation was found to be insufficient, hot deck imputation was used, In this case, a missing value was imputed from a randomly selected similar record in the same dataset.
Some corrections are made automatically by the program(80%) and the rest by visual control of the questionnaires (20%).
1. 100% forms filled in by FRAs are rechecked for completeness, ensured that all the necessary event forms are filled in.
2. Spot checks are done on field over data collection by FRAs for reliability of data.
3. FRS instructs revisits wherever required.
4. Forms are checked on sample basis
5. Checks if all the necessary event forms are filled in.
6. Forms with inconsistencies identified at the time of entry are sent back to the field.
7. Creating and managing data entry checks for picking up inconsistencies
8. Monitoring field work: balancing work target and quality.
9. Dealing with data inconsistencies at data level and giving feedbacks to field staff.
10. Conducting training and refresher training wherever required.
11. Data cleaningOver the years the response rate at household level has varied between 95% and 97% with response rate at Individual Level varying between 92% and 95%. Challenges to acheiving a 100% response rate have included:
- high population mobility within the study area
- high population attrition
- respondent fatigue
- security in some areasNot applicable for surveillance dataCentreIdMetricTableQMetricIllegalLegalTotalMetricRunDate
KE031MicroDataCleanedStarts2192852017-05-16 18:25
KE031MicroDataCleanedTransitions82503682503602017-05-16 18:25
KE031MicroDataCleanedEnds2192852017-05-16 18:25
KE031MicroDataCleanedSexValues8250362017-05-16 18:25
KE031MicroDataCleanedDoBValues 4282499482503602017-05-16 18:25INDEPTH Data RepositoryNairobi (KE031)This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required.iSHARE2 Help deskAny use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:
"Nairobi HDSS INDEPTH Core Dataset 2003-2014 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org<http://www.indepth-network.org>.
doi:10.7796/INDEPTH.KE031.CMD2014.v1"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. 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.The user of the data acknowledges that the original collector of the data (APHRC), INDEPTH Network, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.KE031.CMD2014.v1This file contains the INDEPTH Core Microdataset of Nairobi Urban HDSS. The file was generated using ETL through Pentaho Kettle.014RecNrRecNrRecNrRecNrRecNrA sequential number uniquely identifying each record in the data fileCountryIdCountryIdCountryIdCountryIdCountryIdISO 3166-1 numeric code of the country in which the surveillance site is situatedCentreIdCentreIdCentreIdCentreIdCentreIdAn 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 centresIndividualIdIndividualIdIndividualIdIndividualIdIndividualIdA 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.SexSexSexSexSexUnknown1Male2FemaleSex of the individual.DoBDoBDoBDoBDoBThe date of birth of the individual. Format: YYYY-MM-DDEventCountEventCountEventCountEventCountEventCountThe total number of events associated with this individual in this data setEventNrEventNrEventNrEventNrEventNrA number increasing from 1 to EventCount for each event record in order of event occurrenceEventCodeEventCodeEventCodeEventCodeEventCodeBTHBirthDLVDeliveryDTHDeathENTLocation EntryENUEnumerationEXTLocation ExitIMGIn-MigrationOBEObservation EndOBLLast ObservationOBSObservationOMGOut-MigrationA code identifying the type of event that has occurred.EventDateEventDateEventDateEventDateEventDateThe date on which the event occurred. Format: YYYY-MM-DDObservationDateObservationDateObservationDateObservationDateObservationDateDate on which the event was observed (recorded), also known as surveillance visit date. Format: YYYY-MM-DDLocationIdLocationIdLocationIdLocationIdLocationIdUnique 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.MotherIdMotherIdMotherIdMotherIdMotherIdThe IndividualId of the mother. Only provided for BTH events.DeliveryIdDeliveryIdDeliveryIdDeliveryIdDeliveryIdThe RecNr of the delivery event associated with this birth