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Inferring spatiotemporal dynamics of mosquitoes in Italy using machine learning

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Inferring spatiotemporal dynamics of mosquitoes in Italy using machine learning
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46
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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The webinar guides participants through the full workflow to predict mosquitoes egg abundance: starting with the methods used to preprocess and harmonize the ovitrap dataset, the selection and preparation of predictor variables, and the modelling framework and rationale used to infer the species’ spatiotemporal dynamics. It will then demonstrate the integration of these results into a web application designed to visually inform both public health institutions and private citizens, thereby facilitating tailored intervention strategies and boosting public awareness of mosquito-borne disease risks.