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Geo-sampling in developing nations

Dados Bibliográficos

ID12595403
AutoresJames Cajka (0000-0001-9800-6627, RTI International, Research Triangle Park, NC, USA, autor correspondente), Safaa Amer (RTI International, Research Triangle Park, NC, USA), Jamie Ridenhour (0000-0001-6216-9512, RTI International, Research Triangle Park, NC, USA), Justine Allpress (0000-0001-8739-6332, RTI International, Research Triangle Park, NC, USA)
Ano2018
Volume21
Fascículo6
Páginas729-746
Data de publicação2018-07-25
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoInternational Journal of Social Research Methodology (JOURNAL)
Identificadores do periódicoISSN: 1364-5579 • E-ISSN: 1464-5300
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/13645579.2018.1484989
OpenAlexW2884815430
IdiomaEN
Citações recebidas5
Referências citadas16

RTI International created a geospatial grid-based sampling methodology that: achieved a probability-based household sample and unbiased estimates; was comparable across countries; used simple frame data available from the in-country census; and was efficient with minimal training to local field staff. The methodology used 1 km2 LandScan world population data, which was further subdivided to smaller grid cells ranging from 50 to 150 m2. To guide fieldwork, georeferenced maps were generated and viewed without an Internet connection using a third-party app and the tablet’s internal global positioning systems receiver. The field staff’s location was displayed in real time as a blue dot enabling field staff to determine household inclusivity. This methodology was successfully implemented for household surveys Latin America, Africa, and Asia. The design is transferable, adaptable, scalable, and can be used anywhere in the world

Cartography · Census · Data collection · Data science · Database · Field (mathematics · Geography · Geospatial analysis · Grid · Internet access · Latin Americans · Political science · Population · Regional science · Sample (material · Sampling (signal processing · Sampling frame · Scalability · Sociology · Statistics · Telecommunications · The Internet · World Wide Web · Computer Science · Data-Driven Disease Surveillance · demographic modeling and climate adaptation · Demography · Human Mobility and Location-Based Analysis · Mathematics

  • A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India

    Open Access•Charles Q Lau, Charles Lau et al.•International Journal of Public…•2021

  • Semi-automatic mapping of pre-census enumeration areas and population sampling frames

    Open Access•Sarchil Qader, Véronique Lefèbvre et al.•Humanities and Social Sciences…•2021

  • Leveraging Geospatial Techniques and Publicly Available Datasets to Develop a Cost-Effective, Digitized National Sampling Frame

    Open Access•Saida Ismailakhunova, Avralt-Od Purevjav et al.•ISPRS International Journal of…•2026

  • Assessing the relative accuracy of gridded population sampling

    Sarah Staveteig, Matthew Kirwin•International Journal of Social…•2022

  • Exploring the determinants of household water treatment in Kabul

    Open Access•Mohammad Daud Hamidi, Marco J Haenssgen et al.•World Development•2024

  • Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys

    Open Access•Philip S Wang, Sergio Aguilar-Gaxiola et al.•The Lancet•2007

  • Encyclopedia of Survey Research Methods

    Paul J Lavrakas, Paul Lavrakas•Encyclopedia of Survey Research…•2008

  • Summary Report of the Aapor Task Force on Non-probability Sampling

    Reg Baker, J Michael Brick et al.•Journal of Survey Statistics and…•2013

  • Spatial Sampling Design for a Demographic and Health Survey

    Open Access•Naresh Kumar•Population Research and Policy…•2007

Obras citantes distintas5
Citações por ano1
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 5
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