ArticleScientific reports2020
Finding hotspots: development of an adaptive spatial sampling approach.
Article in Scientific reports, 2020. 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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Who cites it
15 citing papers in PubMed.
- Interpretable ROI Identification in Brain Image Analysis: Overcoming CNN Black Box Challenges With Kriging-Enhanced Adaptive Sampling.Statistics in medicine · 2026Article
- Hotspot-based integrated serosurveillance of neglected tropical diseases, malaria, and vaccine-preventable diseases in urban Guyana.Revista panamericana de salud publica = Pan American journal of public health · 2026Article
- Balancing access, precision, and equity in adaptive test site allocation with an application to COVID-19 in Atlanta, Georgia.Scientific reports · 2025Article
- Evidence of multiple bacterial, viral, and parasitic infectious disease agents inInfection ecology & epidemiology · 2025Article
- Challenges in data-driven geospatial modeling for environmental research and practice.Nature communications · 2024Review
- Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A brief review and guidance on the spatiotemporal sampling designs for disease vector surveillance.Current research in parasitology & vector-borne diseases · 2024Review
- Sampling for malaria molecular surveillance.Trends in parasitology · 2023Review
- Implications for selecting persistent hot spots of schistosomiasis from community- and school-based surveys in Blue Nile, North Kordofan, and Sennar States, Sudan.Parasites, hosts and diseases · 2023Article
- Optimizing laboratory-based surveillance networks for monitoring multi-genotype or multi-serotype infections.PLoS computational biology · 2022Article
- Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata.PLoS neglected tropical diseases · 2022Article
- Geographically targeted surveillance of livestock could help prioritize intervention against antimicrobial resistance in China.Nature food · 2021Article
- Neglected tropical disease control in a world with COVID-19: an opportunity and a necessity for innovation.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2021Article
- Technical Workflow Development for Integrating Drone Surveys and Entomological Sampling to Characterise Aquatic Larval Habitats ofJournal of environmental and public health · 2021Article
- The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures.PLoS computational biology · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of disease hotspots is an increasingly important public health problem. While geospatial modeling offers an opportunity to predict the locations of hotspots using suitable environmental and climatological data, little attention has been paid to optimizing the design of surveys used to inform such models. Here we introduce an adaptive sampling scheme optimized to identify hotspot locations where prevalence exceeds a relevant threshold. Our approach incorporates ideas from Bayesian optimization theory to adaptively select sample batches. We present an experimental simulation study based on survey data of schistosomiasis and lymphatic filariasis across four countries. Results across all scenarios explored show that adaptive sampling produces superior results and suggest that similar performance to random sampling can be achieved with a fraction of the sample size.
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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.