Nature Communications · 2020 · 336 citations · 74 references
Life SciencesBiologyEntomologyClimatologyInsect EcologyInvasion EcologyArboviral DiseasesDisease Risk AssessmentMosquito BiologyMosquito-borne DiseasesVector EcologyVector Population DynamicsArbovirus-vector InteractionsClimate Change Impacts On Vector-borne DiseaseDisease RiskMechanistic Phenology ModelsMosquito Vector EcologyPhenology Model ValidationPhenology Of VectorsVector-borne Disease Dynamics
Vector‑borne diseases are a major global health burden, and climate change is expected to increase their risk. The study aims to characterize how climate change alters the development rate and spatial‑temporal variation of Aedes aegypti to assess changing disease risk. A mechanistic phenology model was developed to predict the number of life‑cycle completions of Aedes aegypti per location per time, using empirically derived biophysical responses to environmental conditions. The model indicates global suitability for Ae.
Abstract Vector-borne diseases remain a major contributor to the global burden of disease, while climate change is expected to exacerbate their risk. Characterising vector development rate and its spatio-temporal variation under climate change is central to assessing the changing basis of human disease risk. We develop a mechanistic phenology model and apply it to Aedes aegypti , an invasive mosquito vector for arboviruses (e.g. dengue, zika and yellow fever). The model predicts the number of life-cycle completions (LCC) for a given location per unit time based on empirically derived biophysical responses to environmental conditions. Results suggest that the world became ~1.5% more suitable per decade for the development of Ae. aegypti during 1950–2000, while this trend is predicted to accelerate to 3.2–4.4% per decade by 2050. Invasion fronts in North America and China are projected to accelerate from ~2 to 6 km/yr by 2050. An increase in peak LCC combined with extended periods suitable for mosquito development is simulated to accelerate the vector’s global invasion potential.
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Predictive habitat distribution models in ecology
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Natural Sciences, Earth Sciences, Environmental Sciences +14