ArticleInternational journal of health geographics2015
Using remote, spatial techniques to select a random household sample in a dispersed, semi-nomadic pastoral community: utility for a longitudinal health and demographic surveillance system.
Article in International journal of health geographics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Acceptability and effectiveness of a study information video in improving the research consent process for youth: a non-inferiority trial.BMJ global health · 2025Trial
- Treatment Coverage Estimation for Mass Drug Administration for Malaria with Dihydroartemisinin-Piperaquine in Southern Province, Zambia.The American journal of tropical medicine and hygiene · 2020Trial
- Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance.PLOS global public health · 2025Article
- Conducting epidemiological studies on snakebite in nomadic populations: A methodological paper.PLoS neglected tropical diseases · 2023Review
- Fractures in sub-Saharan Africa: epidemiology, economic impact and ethnography (Fractures-EWellcome open research · 2023Article
- The impact of community-based integrated HIV and sexual and reproductive health services for youth on population-level HIV viral load and sexually transmitted infections in Zimbabwe: protocol for the CHIEDZA cluster-randomised trial.Wellcome open research · 2022Article
- Novel transdisciplinary methodology for cross-sectional analysis of snakebite epidemiology at national scale.PLoS neglected tropical diseases · 2021Article
- Alternative observational designs to estimate the effectiveness of one dose of oral cholera vaccine in Lusaka, Zambia.Epidemiology and infection · 2020Observational
- The population randomization observation process (PROP) assessment method: using systematic habitation observations of street segments to establish household-level epidemiologic population samples.International journal of health geographics · 2019Observational
- Using Google Earth™ and Geographical Information System data as method to delineate sample domains for an urban household surveys: the case of Maroua (Far North Region-Cameroon).International journal of health geographics · 2019Article
- Making Pastoralists Count: Geospatial Methods for the Health Surveillance of Nomadic Populations.The American journal of tropical medicine and hygiene · 2019Article
- Article
- GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data.International journal of health geographics · 2017Article
- Utilization of Google enterprise tools to georeference survey data among hard-to-reach groups: strategic application in international settings.International journal of health geographics · 2016Article
- Seasonal Shifts in Primary Water Source Type: A Comparison of Largely Pastoral Communities in Uganda and Tanzania.International journal of environmental research and public health · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObtaining a random household sample can be expensive and challenging. In a dispersed community of semi-nomadic households in rural Tanzania, this study aimed to test an alternative method utilizing freely available aerial imagery.
methodsWe pinned every single-standing structure or boma (compound) in Naitolia, Tanzania using a 'placemark' in Google Earth Pro (version 7.1.2.2041). Next, a local expert assisted in removing misclassified placemarks. A random sample was then selected using a random number generator. The random sample points were mapped and used by survey enumerators to navigate.
resultsWe created a spatial sample frame and a random sample in 34.5 student working hours, 3 local expert hours and 1.5 academic working hours. Challenges included determining whether homes were occupied or abandoned, developing a protocol for placemark inclusion and quality issues with the aerial imagery itself. In the field, 175 sample points were visited and 170 of these (97%) were actual households. The primary advantages of this method were the: (a) ability to generate a robust random sample in a rural and remote area; (b) lack of reliance on existing, external population data sources; and (c) relatively low levels of funding and time required.
conclusionsThis method to develop a spatial sample frame was efficient and cost-effective when compared to in-field generation of a household inventory or GPS tracking of households. Utilizing a local expert to review the sample frame prior to field testing greatly increased accuracy. Overall, this method is a promising alternative to expensive and possibly biased household inventories or in-field GPS data collection for all households.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.