ArticleThe American journal of tropical medicine and hygiene2019
Making Pastoralists Count: Geospatial Methods for the Health Surveillance of Nomadic Populations.
Article in The American journal of tropical medicine and hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Leaving no one behind: targeting mobile and migrant populations with health interventions for disease elimination-a descriptive systematic review.BMC medicine · 2022Pooled it
- Health services uptake among nomadic pastoralist populations in Africa: A systematic review of the literature.PLoS neglected tropical diseases · 2020Pooled it
- Characteristics and influencing factors of self-management behaviors of hypertensive patients in areas with concentrated ethnic minorities on plateau: a latent profile analysis.BMC public health · 2026Article
- Determinants of childhood immunization coverage in Somalia: evidence from the Somalia Demographic and Health Survey 2020.Archives of public health = Archives belges de sante publique · 2026Article
- Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance.PLOS global public health · 2025Article
- A framework for managing infectious diseases in rural areas in low- and middle-income countries in the face of climate change-East Africa as a case study.PLOS global public health · 2025Review
- Factors influencing vaccination up-take among nomadic population in four regions of Ghana: a qualitative study.BMC public health · 2024Article
- Collecting behavioral evidence from a highly mobile and seasonal population: A protocol for a survey on quad bike injuries.PloS one · 2024Observational
- Conducting epidemiological studies on snakebite in nomadic populations: A methodological paper.PLoS neglected tropical diseases · 2023Review
- Fever and health-seeking behaviour among migrants living along the Thai-Myanmar border: a mixed-methods study.BMC infectious diseases · 2023Article
- Disparities in mobile phone ownership reflect inequities in access to healthcare.PLOS digital health · 2023Article
- Hotspots in a cold land-reported cases of rabies in wildlife and livestock in Mongolia from 2012-2018.Zoonoses and public health · 2022Article
- Challenges in measuring supplemental immunization activity coverage among measles zero-dose children.Vaccine · 2021Article
- Prevention of COVID-19 in Internally Displaced Persons Camps in War-Torn North Kivu, Democratic Republic of the Congo: A Mixed-Methods Study.Global health, science and practice · 2020Article
- Africa's Nomadic Pastoralists and Their Animals Are an Invisible Frontier in Pandemic Surveillance.The American journal of tropical medicine and hygiene · 2020Article
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Authors and funding
9 authors.
Funding
Abstract
Nomadic pastoralists are among the world's hardest-to-reach and least served populations. Pastoralist communities are difficult to capture in household surveys because of factors including their high degree of mobility over remote terrain, fluid domestic arrangements, and cultural barriers. Most surveys use census-based sampling frames which do not accurately capture the demographic and health parameters of nomadic populations. As a result, pastoralists are "invisible" in population data such as the Demographic and Health Surveys (DHS). By combining remote sensing and geospatial analysis, we developed a sampling strategy designed to capture the current distribution of nomadic populations. We then implemented this sampling frame to survey a population of mobile pastoralists in southwest Ethiopia, focusing on maternal and child health (MCH) indicators. Using standardized instruments from DHS questionnaires, we draw comparisons with regional and national data finding disparities with DHS data in core MCH indicators, including vaccination coverage, skilled birth attendance, and nutritional status. Our field validation demonstrates that this method is a logistically feasible alternative to conventional sampling frames and may be used at the population level. Geospatial sampling methods provide cost-affordable and logistically feasible strategies for sampling mobile populations, a crucial first step toward reaching these groups with health services.
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