ArticlePLoS computational biology2019
Consensus and uncertainty in the geographic range of Aedes aegypti and Aedes albopictus in the contiguous United States: Multi-model assessment and synthesis.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Trends in mosquito species distribution modeling: insights for vector surveillance and disease control.Parasites & vectors · 2023Pooled it
- Spatiotemporal dynamics of Aedes aegypti and Culex quinquefasciatus populations in Miami-Dade County, Florida.PloS one · 2026Article
- Mosquito-borne disease among individuals experiencing homelessness in the USA: a literature review.Journal of pest science · 2026Review
- The expansion of the yellow fever mosquito (Aedes aegypti) and evidence of its establishment in the Las Vegas metropolitan area, Nevada, United States of America.Journal of medical entomology · 2025Article
- Article
- Evaluation of Ground and Aerial Ultra-Low Volume Applications Using ReMoa Tri Against Deltamethrin-ResistantTropical medicine and infectious disease · 2025Article
- Why the growth of arboviral diseases necessitates a new generation of global risk maps and future projections.PLoS computational biology · 2025Article
- Evaluation of a novel triple-action adulticide containing a pyrethroid, macrocyclic lactone, and fatty acid against pyrethroid-resistant Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae).Journal of medical entomology · 2024Article
- Mapping Potential Malaria Vector Larval Habitats for Larval Source Management in Western Kenya: Introduction to Multimodel Ensembling Approaches.The American journal of tropical medicine and hygiene · 2024Article
- Diel activity patterns of vector mosquito species in the urban environment: Implications for vector control strategies.PLoS neglected tropical diseases · 2023Article
- Past, present and future distribution of the yellow fever mosquito Aedes aegypti: The European paradox.The Science of the total environment · 2022Article
- Needs Assessment of Southeastern United States Vector Control Agencies: Capacity Improvement Is Greatly Needed to Prevent the Next Vector-Borne Disease Outbreak.Tropical medicine and infectious disease · 2022Article
- Article
- Article
- Urbanization favors the proliferation of Aedes aegypti and Culex quinquefasciatus in urban areas of Miami-Dade County, Florida.Scientific reports · 2021Article
- Modelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition.PLoS neglected tropical diseases · 2021Article
- The Eco-Bio-Social Factors That ModulateInsects · 2021Article
- AeDES: a next-generation monitoring and forecasting system for environmental suitability of Aedes-borne disease transmission.Scientific reports · 2020Article
- Risk of yellow fever virus importation into the United States from Brazil, outbreak years 2016-2017 and 2017-2018.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aedes (Stegomyia) aegypti (L.) and Ae. (Stegomyia) albopictus (Skuse) mosquitoes can transmit dengue, chikungunya, yellow fever, and Zika viruses. Limited surveillance has led to uncertainty regarding the geographic ranges of these vectors globally, and particularly in regions at the present-day margins of habitat suitability such as the contiguous United States. Empirical habitat suitability models based on environmental conditions can augment surveillance gaps to describe the estimated potential species ranges, but model accuracy is unclear. We identified previously published regional and global habitat suitability models for Ae. aegypti (n = 6) and Ae. albopictus (n = 8) for which adequate information was available to reproduce the models for the contiguous U.S. Using a training subset of recently updated county-level surveillance records of Ae. aegypti and Ae. albopictus and records of counties conducting surveillance, we constructed accuracy-weighted, probabilistic ensemble models from these base models. To assess accuracy and uncertainty we compared individual and ensemble model predictions of species presence or absence to both training and testing data. The ensemble models were among the most accurate and also provided calibrated probabilities of presence for each species. The quantitative probabilistic framework enabled identification of areas with high uncertainty and model bias across the U.S. where improved models or additional data could be most beneficial. The results may be of immediate utility for counties considering surveillance and control programs for Ae. aegypti and Ae. albopictus. Moreover, the assessment framework can drive future efforts to provide validated quantitative estimates to support these programs at local, national, and international scales.
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