ReviewInfectious diseases & immunity2026
Geospatial epidemiological approaches to the prevention and control of vector-borne diseases: A systematic review.
Review in Infectious diseases & immunity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vector-borne diseases (VBDs), primarily transmitted through the bites of vectors such as mosquitoes, ticks, and sandflies, have been recognized as a critical global public health priority. This systematic review summarizes the pivotal role of geospatial technologies, including geographic information systems (GIS), remote sensing (RS), and advanced spatial statistical methodologies, in enhancing disease surveillance systems. We conducted a comprehensive literature screening across the PubMed and OVID Medline databases, identifying 652 relevant studies published between 2015 and 2024. These studies were analyzed to evaluate the application of geospatial approaches to several critical VBDs such as malaria, dengue fever, yellow fever, and other VBDs. The integration of GIS and RS enables high-resolution mapping of vector habitats and disease hotspots by analyzing environmental factors. Advanced spatial statistical models effectively quantify the influence of environmental and socioeconomic variables, predict transmission risk, and detect significant spatial clusters. Phylogeographic analyses elucidate pathogen origins and transmission pathways, while animal migration tracking reveals the role of long-distance vector and host dispersal in disease spread. These approaches have facilitated the development of actionable risk maps that support targeted interventions, optimize resource allocation, and underpin early warning systems for diseases such as malaria, dengue fever, yellow fever, and Zika virus disease. In summary, geospatial epidemiology plays a critical role in VBD control by providing evidence-based insights into transmission dynamics. Future efforts should prioritize interdisciplinary collaboration and the development of integrated, real-time surveillance platforms that combine multisource data and predictive modeling.
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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.