3 research outputs found
AIMSurv: First pan-European harmonized surveillance of Aedes invasive mosquito species of relevance for human vector-borne diseases
Human and animal vector-borne diseases, particularly mosquito-borne diseases, are emerging or re-emerging worldwide. Six Aedes invasive mosquito (AIM) species were introduced to Europe since the 1970s: Aedes aegypti, Ae. albopictus, Ae. japonicus, Ae. koreicus, Ae. atropalpus and Ae. triseriatus. Here, we report the results of AIMSurv2020, the first pan-European surveillance effort for AIMs. Implemented by 42 volunteer teams from 24 countries. And presented in the form of a dataset named “AIMSurv Aedes Invasive Mosquito species harmonized surveillance in Europe. AIM-COST Action. Project ID: CA17108”. AIMSurv2020 harmonizes field surveillance methodologies for sampling different AIMs life stages, frequency and minimum length of sampling period, and data reporting. Data include minimum requirements for sample types and recommended requirements for those teams with more resources. Data are published as a Darwin Core archive in the Global Biodiversity Information Facility- Spain, comprising a core file with 19,130 records (EventID) and an occurrences file with 19,743 records (OccurrenceID). AIM species recorded in AIMSurv2020 were Ae. albopictus, Ae. japonicus and Ae. koreicus, as well as native mosquito species
Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
Este artículo contiene 13 páginas, 2 figuras.The Mosquito Alert dataset includes occurrence records of adult mosquitoes collected worldwide in 2014–2020 through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Records are linked to citizen science-submitted photographs and validated by entomologists to determine the presence of five targeted European mosquito vectors: Aedes albopictus, Ae. aegypti, Ae. japonicus, Ae. koreicus, and Culex pipiens. Most records are from Spain, reflecting Spanish national and regional funding, but since autumn 2020 substantial records from other European countries are included, thanks to volunteer entomologists coordinated by the AIM-COST Action, and to technological developments to increase scalability. Among other applications, the Mosquito Alert dataset will help develop citizen science-based early warning systems for mosquito-borne disease risk. It can also be reused for modelling vector exposure risk, or to train machine-learning detection and classification routines on the linked images, to assist with data validation and establishing automated alert systems.This work was supported by:
• 2021–2022 Fair Computational Epidemiology (FACE); Plataforma Temática
Interdisciplinar PTI+ Salud Global, Consejo Superior de Investigaciones Científicas (CSIC);
Grant No.: N/A.
• 2020–2025 Human-Mosquito Interaction Project: Host-vector networks, mobility and the
socio-ecological context of mosquito-borne disease; European Research Council (ERC);
Grant No.: 853271.
• 2020–2021 Strengthening Barcelona’s Defenses Against Disease-Vector Mosquitoes:
Automatically Calibrated Citizen-Based Surveillance, Barcelona Ciència; Ajuntament de
Barcelona, Institut de Cultura; Grant No.: BCNPC/00041.
• 2020–2024 VEO: Versatile Emerging infectious disease Observatory, H2020
SC1-BHC-13-2019; European Commission (EC); Grant No.: 874735.
• 2020–2025 Preparing for vector-borne virus outbreaks in a changing world: a One Health
Approach; Dutch National Research Agenda (NWA); Grant No.: NWA/00686468.
• 2019–2021 Big Mosquito Bytes: Community-Driven Big Data Intelligence to Fight
Mosquito-Borne Disease; Fundació “La Caixa”, Health Research 2018 “la Caixa” Banking
Foundation; Grant No.: HR19-00336.
• 2018–2022 Aedes Invasive Mosquitoes (AIM), COST ACTION OC-2017-1-22105; European
Cooperation in Science and Technology (COST); Grant No.: CA17108.
• 2018 Mosquito Alert: programa para investigar y controlar mosquitos vectores de
enfermedades como el Dengue, el Chikungunya y el Zika; Fundació “La Caixa”; Grant No.:
N/A.
• 2017–2019 Plataforma Integral per al Control de l’Arbovirosis a Catalunya (PICAT);
Departament de Salut, Programa PERIS 2016–2020, Generalitat de Catalunya; Grant No.:
00466.
• 2016–2018 Ciència ciutadana per a la millora de la gestió i els models predictius de
dispersió i distribució real de mosquit tigre a la Província de Girona; Diputació de Salut
de Girona (DIPSALUT); Grant No.: N/A.
• 2016 Nuevas herramientas de participación en ciencia ciudadana: laboratorios de
validación y cocreación para AtrapaelTigre.com; Fundación Española para la Ciencia y la
Tecnología (FECYT); Grant No.: FCT-15-9515.
• 2016–2017 Mosquito Alert: programa para investigar y controlar mosquitos vectores de
enfermedades como el Dengue, el Chikungunya y el Zika; Fundació “La Caixa”; Grant No.:
N/A.
• 2016–2017 Ciència ciutadana per a la millora de la gestió i els models predictius de
dispersió i distribució real de mosquit tigre a la Província de Girona; Diputació de Salut
de Girona (DIPSALUT); Grant No.: N/A.
• 2015–2016 Citizens-based early warning systems for invasive species and disease vectors:
The case of the Asian Tiger mosquito; Fundació “La Caixa” and Centre de Recerca
Ecològica i Aplicacions Forestals (CREAF); Grant No.: N/A.
• 2014–2016 Invasión del mosquito tigre en España: Salud pública y cambio global;
Ministerio de Economía y Competitividad, Plan Estatal I+D+I; Grant No.:
CGL2013-43139-R.
• 2014 Diseño e implementación de un sistema ciudadano de alerta y seguimiento del
mosquito tigre: ciencia en sociedad (Atrapa el Tigre 2.0); Fundación Española para la
Ciencia y la Tecnología (FECYT); Grant No.: FCT-13-701955.Peer reviewe
Mosquito Alert - Leveraging Citizen Science to Create a GBIF Mosquito Occurrence Dataset
The Mosquito Alert dataset includes occurrence records of adult mosquitoes collected worldwide in 2014–2020 through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Records are linked to citizen science-submitted photographs and validated by entomologists to determine the presence of five targeted European mosquito vectors: Aedes albopictus, Ae. aegypti, Ae. japonicus, Ae. koreicus, and Culex pipiens. Most records are from Spain, reflecting Spanish national and regional funding, but since autumn 2020 substantial records from other European countries are included, thanks to volunteer entomologists coordinated by the AIM-COST Action, and to technological developments to increase scalability. Among other applications, the Mosquito Alert dataset will help develop citizen science-based early warning systems for mosquito-borne disease risk. It can also be reused for modelling vector exposure risk, or to train machine-learning detection and classification routines on the linked images, to assist with data validation and establishing automated alert systems