Este artículo contiene 13 páginas, 8 figuras, 2 tablas.Recent outbreaks of Zika, chikungunya and dengue highlight the importance of better
understanding the spread of disease-carrying mosquitoes across multiple spatio-temporal
scales. Traditional surveillance tools are limited by jurisdictional boundaries and cost
constraints. Here we show how a scalable citizen science system can solve this problem by
combining citizen scientists’ observations with expert validation and correcting for
sampling effort. Our system provides accurate early warning information about the Asian
tiger mosquito (Aedes albopictus) invasion in Spain, well beyond that available from traditional
methods, and vital for public health services. It also provides estimates of tiger mosquito
risk comparable to those from traditional methods but more directly related to the
human–mosquito encounters that are relevant for epidemiological modelling and scalable
enough to cover the entire country. These results illustrate how powerful public participation
in science can be and suggest citizen science is positioned to revolutionize mosquito-borne
disease surveillance worldwide.A. Torrell (Departament de Territori i
Sostenibilitat, Generalitat de Catalunya) and the support of the Spanish Ministry of
Public Health, CCAES (Centro de Coordinación de Alertas y Emergencias Sanitarias)
and the Health Department of the Generalitat de Catalunya. J.R.B.P. is funded by the
European Union’s Horizon 2020 research and innovation programme under Marie
Skłodowska-Curie grant agreement no. 657956. The research leading to these results has
received funding from the Spanish Ministry of Economy and Competitiveness
(MINECO, Plan Estatal I+D+I CGL2013-43139-R) and ‘la Caixa’ Banking Foundation.
Mosquito Alert is currently promoted by ‘la Caixa’ Banking Foundation. Other
contributors during 2014-15 are the Fundación Española de Ciencia y Tecnología
(FCT-13-7019), the program RecerCaixa-2013, and the company Lokimica S.A.Peer reviewe
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