CLIMOS

Climate Monitoring and Decision Support Framework for Sand Fly-borne Diseases Detection and Mitigation with COst-benefit and Climate-policy MeasureS

1. September 2022. to 31. May 2026.

Link to Project Website
https://climos-project.eu/
Project Number
101057690
Funding Agency
HORIZON-RIA – HORIZON Research and Innovation Actions
Lead Organization Name
UNL – Universidade Nova de Lisboa
Lead Organization Country
Portugal
Link to Lead Organization Website
https://www.unl.pt/en/
Link to Open Science Framework (OSF) public page
 

List of Partner Institutions:

ISTITUTO SUPERIORE DI SANITA
Italy
https://www.iss.it/web/iss-en
UNIVERZITA KARLOVA
Czech Republic.
https://cuni.cz/UK-1.html
WAGENINGEN UNIVERSITY
Netherlands
https://www.wur.nl/en
KARLSRUHER INSTITUT FUER TECHNOLOGIE
Germany
https://www.kit.edu/
UNIVERZA NA PRIMORSKEM UNIVERSITA DEL LITORALE
Slovenia
https://www.upr.si/en
UNIVERSIDAD DE MURCIA
Spain
https://www.um.es/en/
HELMHOLTZ-ZENTRUM FUR UMWELTFORSCHUNG GMBH – UFZ
Germany
https://www.ufz.de/index.php?de=34257
EGE UNIVERSITY
Turkey
https://ege.edu.tr/eng-0/homepage.html
PRIVREDNO DRUSTVO ZENTRIX LAB DRUSTVO SA OGRANICENOM ODGOVORNOSCU PANCEVO
Serbia
https://zentrixlab.com/
UNIVERSITY OF HAIFA
Israel
https://uhaifa.org/
F6S NETWORK IRELAND LIMITED
Ireland
https://innovation.f6s.com/
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
France
https://www.inserm.fr/
HACETTEPE UNIVERSITESI
Turkey
https://www.hacettepe.edu.tr/
TRILATERAL RESEARCH LIMITED
Ireland
https://trilateralresearch.com/
UNIVERSITE DE REIMS CHAMPAGNE-ARDENNE
France
https://www.univ-reims.fr/accueil/accueil,1,19021.html
POLYTECHNEIO KRITIS
Greece
https://www.tuc.gr/en/home
MINISTRY OF HEALTH
Israel
https://me.health.gov.il/en/
PREDICTIA INTELLIGENT DATA SOLUTIONS SL
Spain
https://predictia.es/en/index.html
MINISTERO DELLA SALUTE
Italy
https://www.salute.gov.it/portale/home.html
MEDIZINISCHE UNIVERSITAET WIEN
Austria
https://www.meduniwien.ac.at/web/
UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II
Italy
https://www.unina.it/it/
GLIGORIJEVIC VLADAN
Netherlands
https://cubexlab.eu/
Turkiye Cumhuriyeti Saglik Bakanligi
Turkey
https://www.saglik.gov.tr/
OPEN GEOSPATIAL CONSORTIUM EUROPE
Belgium
https://www.ogc.org/
UNIVERSITE D’AIX MARSEILLE
France
https://www.univ-amu.fr/
UNIVERSITY OF WARWICK
United Kingdom
https://warwick.ac.uk/
UNIVERSITY OF LANCASTER
United Kingdom
https://www.lancaster.ac.uk/

List of Sampling Locations:

Portugal
Metropolitan Region of Lisbon, Algarve Region, Portalegre Region
Turkey
Adana (Otluk, Damyeri, Zerdali) Ankara (Gudul, Yesiloz)
France
Saint-Ythaire, Rennes, Corsica, Reims, Strasbourg, Paris, Rouen, Limoges, Montpellier, Toulouse, Nice, Verniolle
Spain
Araba, Barcelona, Bizkaia, Ciudad Real, Granada, Lugo, Madrid, Murcia, Orense, Pontevedra, Zaragoza
Austria and Germany
Lower Austria, Styria, Vienna, Burgenland
Germany
Baden-Wurttemberg, Rheinland-Palatinate
Slovenia
Velike Zablje, Cetore
Croatia
Korona, Kornic
Italy
Latium, Tuscany, Sicily
Israel
Aderet, Kahal, Negev Mountains, Patish

Climate change is reshaping ecosystems across Europe, enabling disease-carrying insects to survive and spread into new regions. Sand flies transmit zoonotic pathogens that threaten both human and animal health. However, it remains difficult to predict how the climate drives their expansion. The EU-funded CLIMOS project aims to tackle this emerging challenge by quantifying how climate and environmental factors influence sand fly populations and sand fly-borne diseases across Europe. CLIMOS will deliver an early warning system and decision-support tools to forecast infection risk, geographic spread and adaptation options. An open-access interactive platform will integrate surveillance data, climate information and modelling tools to support decisions by public authorities, researchers and policymakers.

Field of action:

Animal (Invertebrates [Arthropods: Insects]), Microbes/Parasites (Viral, Unicellular eukaryotes), Environments (Temperate grassland, Temperate forest, Desert, Other [urban/suburban areas), Environmental changes (Climate change), Disease metrics (Seroprevalence [animal], Seroprevalence [human])

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