ArticleConflict and health2019
Beyond mapping: a case for geospatial analytics in humanitarian health.
Article in Conflict and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Advances in small area population estimation in the absence of national census data.Proceedings of the National Academy of Sciences of the United States of America · 2026Review
- Geospatial analysis in addressing surgical care inequities: A scoping review and methodological guide.PLOS digital health · 2026Article
- Emergency Department Utilization by Women of Reproductive Age for Mental Illness in St. Louis Before and During the COVID-19 Pandemic.International journal of environmental research and public health · 2026Article
- Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.SSM - population health · 2025Article
- Prevalence of Babies Born With Neural Tube Defects and Geospatial Mapping of Therapeutic Services: A Systematic Review.Health science reports · 2025Review
- Lung cancer risk and its potential association with PMFrontiers in public health · 2024Article
- A systematic literature review on the use of big data analytics in humanitarian and disaster operations.Annals of operations research · 2022Article
- Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem.JMIR medical informatics · 2022Article
- Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area.PloS one · 2022Article
- Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Aden governorate, Yemen.BMJ global health · 2021Article
- Geospatial analysis: a new frontier in humanitarian health research?The Lancet. Global health · 2020Article
- Estimating access to health care in Yemen, a complex humanitarian emergency setting: a descriptive applied geospatial analysis.The Lancet. Global health · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The humanitarian sector is increasingly adopting geospatial data to support operations. However, the utilization of these data in the humanitarian health arena is predominantly in thematic map format, thereby limiting the full insight and utility of geospatial information. Geospatial analytics, in contrast, including pattern analysis, interpolation, and predictive modeling, have tremendous potential within the field of humanitarian health. This paper explores a variety of historical and contemporary geospatial applications in the public health and humanitarian fields and argues for greater integration of geospatial analysis into humanitarian health research and programming. From remote sensing to create sampling frames, to spatial interpolation for environmental exposure analysis, and multi-objective optimization algorithms for humanitarian logistics, spatial analysis has transformed epistemological paradigms, research methods and programming landscapes across diverse disciplines. The field of humanitarian health, which is inextricably bounded by geography and resource limitations, should leverage the unique capacities of spatial methods and strategically integrate geospatial analytics into research and programming not only to fortify the academic legitimacy and professionalization of the field but also to improve operational efficiency and mitigation strategies.
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Registered trials
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.