ArticleJournal of the Royal Society, Interface2019
Improved spatial ecological sampling using open data and standardization: an example from malaria mosquito surveillance.
Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 30 citations in OpenAlex.
- Identification of malaria hotspots in southwestern Benin through spatial joint modelling of malaria incidence and vector abundance.Malaria journal · 2026Article
- Evaluation of the Entomological Adaptive Surveillance Framework for malaria vector monitoring: a comparative field trial with routine surveillance in Ghana and Mozambique.BMJ public health · 2026Article
- Spatial distribution of Culex mosquitoes across England and Wales, July 2023.Parasites & vectors · 2025Article
- Collaborative engagement with vector control stakeholders is key to enhance the utility of vector-borne disease models.Parasites & vectors · 2025Article
- Spatiotemporal distribution and bionomics of Anopheles stephensi in different eco-epidemiological settings in Ethiopia.Parasites & vectors · 2024Article
- TIMESS a power analysis tool to estimate the number of locations and repeated measurements for seasonally and clustered mosquito surveys.Annals of operations research · 2024Article
- A brief review and guidance on the spatiotemporal sampling designs for disease vector surveillance.Current research in parasitology & vector-borne diseases · 2024Review
- A protocol for a longitudinal, observational cohort study of infection and exposure to zoonotic and vector-borne diseases across a land-use gradient in Sabah, Malaysian Borneo: a socio-ecological systems approach.Wellcome open research · 2022Article
- Australian mosquito assemblages vary between ground and sub-canopy habitats.Parasites & vectors · 2021Article
- Understanding Mosquito Surveillance Data for Analytic Efforts: A Case Study.Journal of medical entomology · 2021Review
- Genome variation and population structure among 1142 mosquitoes of the African malaria vector speciesGenome research · 2020Article
- Human practices promote presence and abundance of disease-transmitting mosquito species.Scientific reports · 2020Article
- Designing a typhoid environmental surveillance study: A simulation model for optimum sampling site allocation.Epidemics · 2020Article
- Quantifying geographic accessibility to improve efficiency of entomological monitoring.PLoS neglected tropical diseases · 2020Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 6 countries.
Funding
Abstract
Vector-borne disease control relies on efficient vector surveillance, mostly carried out using traps whose number and locations are often determined by expert opinion rather than a rigorous quantitative sampling design. In this work we propose a framework for ecological sampling design which in its preliminary stages can take into account environmental conditions obtained from open data (i.e. remote sensing and meteorological stations) not necessarily designed for ecological analysis. These environmental data are used to delimit the area into ecologically homogeneous strata. By employing Bayesian statistics within a model-based sampling design, the traps are deployed among the strata using a mixture of random and grid locations which allows balancing predictions and model-fitting accuracies. Sample sizes and the effect of ecological strata on sample sizes are estimated from previous mosquito sampling campaigns open data. Notably, we found that a configuration of 30 locations with four households each (120 samples) will have a similar accuracy in the predictions of mosquito abundance as 200 random samples. In addition, we show that random sampling independently from ecological strata, produces biased estimates of the mosquito abundance. Finally, we propose standardizing reporting of sampling designs to allow transparency and repetition/re-use in subsequent sampling campaigns.
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