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A climate and population dependent diffusion model forecasts the spread of Aedes Albopictus mosquitoes in Europe
Product design, Bioeconomy, RISE Research Institutes of Sweden, Göteborg, Sweden.
Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health. Interdisciplinary center for scientific computing, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany; Heidelberg institute of global health, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany.
Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health. Interdisciplinary center for scientific computing, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany; Heidelberg institute of global health, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany.
Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health. Interdisciplinary center for scientific computing, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany.
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2025 (English)In: Communications Earth & Environment, E-ISSN 2662-4435, Vol. 6, no 1, article id 276Article in journal (Refereed) Published
Abstract [en]

Aedes albopictus, a key vector for Dengue, Chikungunya, Zika, and Yellow Fever, is expanding its range beyond its tropical and subtropical origins, driven by suitable climate, population mobility, trade, and urbanization. Since its introduction to Europe, Ae. albopictus has rapidly spread and triggered recurrent outbreaks. Past model attempts have handled vector suitability and vector introduction as independent drivers. Here we develop a highly predictive spatio-temporal vector diffusion model based on climate suitability and human population predictors, integrated in one simultaneous framework. The model explains how short- and long-range spread of Ae. albopictus interacts with vector suitability, predicting areas of presence or absence with high accuracy (99% and 79%). These results show that the expansion of Ae. albopictus in Europe is predictable and provide a basis for anticipating future outbreaks in situations of dependent interacting co-drivers.

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 6, no 1, article id 276
National Category
Epidemiology Public Health, Global Health and Social Medicine
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URN: urn:nbn:se:umu:diva-238098DOI: 10.1038/s43247-025-02199-zISI: 001464157800002Scopus ID: 2-s2.0-105002715531OAI: oai:DiVA.org:umu-238098DiVA, id: diva2:1956155
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Vinnova, 2020-03367Available from: 2025-05-05 Created: 2025-05-05 Last updated: 2025-05-05Bibliographically approved

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Semenza, Jan C.Sjödin, HenrikRocklöv, Joacim

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