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Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes
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 scalabl...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655677/ https://www.ncbi.nlm.nih.gov/pubmed/29066710 http://dx.doi.org/10.1038/s41467-017-00914-9 |
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author | Palmer, John R. B. Oltra, Aitana Collantes, Francisco Delgado, Juan Antonio Lucientes, Javier Delacour, Sarah Bengoa, Mikel Eritja, Roger Bartumeus, Frederic |
author_facet | Palmer, John R. B. Oltra, Aitana Collantes, Francisco Delgado, Juan Antonio Lucientes, Javier Delacour, Sarah Bengoa, Mikel Eritja, Roger Bartumeus, Frederic |
author_sort | Palmer, John R. B. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5655677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56556772017-10-26 Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes Palmer, John R. B. Oltra, Aitana Collantes, Francisco Delgado, Juan Antonio Lucientes, Javier Delacour, Sarah Bengoa, Mikel Eritja, Roger Bartumeus, Frederic Nat Commun Article 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. Nature Publishing Group UK 2017-10-24 /pmc/articles/PMC5655677/ /pubmed/29066710 http://dx.doi.org/10.1038/s41467-017-00914-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Palmer, John R. B. Oltra, Aitana Collantes, Francisco Delgado, Juan Antonio Lucientes, Javier Delacour, Sarah Bengoa, Mikel Eritja, Roger Bartumeus, Frederic Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes |
title | Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes |
title_full | Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes |
title_fullStr | Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes |
title_full_unstemmed | Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes |
title_short | Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes |
title_sort | citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655677/ https://www.ncbi.nlm.nih.gov/pubmed/29066710 http://dx.doi.org/10.1038/s41467-017-00914-9 |
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