DA RE, DANIELE
A spatio-temporal modeling framework to assess the probability of human tick-borne encephalitis (TBE) infections across Europe
2025-01-01 Dagostin, F.; Erazo, D.; Marini, G.; Da Re, D.; Tagliapietra, V.; Avdicova, M.; Avšič Županc, T.; Dub, T.; Fiorito, N.; Knap, N.; Gossner, C.M.; Kerlik, J.; Mäkelä, H.; Markowicz, M.; Olyazadeh, R.; Richter, L.; Wint, W.; Zuccali, M.G.; Žygutienė, M.; Dellicour, S.; Rizzoli, A.
The Zanzemap project: artificial Intelligence models to forecast vector dynamics in Northern Italy
2025-01-01 Marini, G.; Da Re, D.; Dagostin, F.; Blaha, M.; Rizzoli, A.
Advancing arthropod vector management through integrated models
2025-01-01 Da Re, D.; Dagostin, F.; Blaha, M.; Erguler, K.; Albieri, A.; Angelini, P.; Rizzoli, A.; Marini, G.
Quantifying the effect of temperature on European Culex pipiens longevity and reproduction in Italy
2025-01-01 Wang, Y.; Arnoldi, D.; Inama, E.; Da Re, D.; Dorigatti, I.; Marini, G.
Quantifying the effect of evaporation on the survival of Aedes albopictus at different temperatures
2025-01-01 Kern, E.; Marini, G.; Arnoldi, D.; Inama, E.; Dorigatti, I.; Da Re, D.
Quantifying the effect of rainfall intensity on Aedes albopictus larval survival in urban environments
2025-01-01 Kern, E.; Da Re, D.; Arnoldi, D.; Inama, E.; Dorigatti, I.; Marini, G.
The Zanzemap project: artificial intelligence models and satellite data to forecast vector dynamics in Northern Italy
2025-01-01 Marini, G.; Da Re, D.; Dagostin, F.; Blaha, M.; Rizzoli, A.
From data to action: a machine learning model to support tick-borne encephalitis surveillance and prevention in Europe
2025-01-01 Dagostin, F.; Erazo, D.; Marini, G.; Da Re, D.; Tagliapietra, V.; Avdicova, M.; Avšič – Županc, T.; Dub, T.; Fiorito, N.; Knap, N.; Gossner, C.N.; Kerlik, J.; Mäkelä, H.; Markowicz, M.; Olyazadeh, R.; Richter, L.; Wint, W.; Zuccali, M.G.; Žygutienė, M.; Dellicour, S.; Rizzoli, A.
Novel technologies and ensemble modelling for climate-sensitive vector activity and vector-borne disease risk assessment
2025-01-01 Erguler, K.; Da Re, D.
Integrating models and co-developed dashboards for enhanced arthropod vector management
2025-01-01 Da Re, D.; Dagostin, F.; Blaha, M.; Erguler, K.; Albieri, A.; Angelini, P.; Rizzoli, A.; Marini, G.
AedesTraits: a global dataset of temperature–dependent trait responses in Aedes mosquitoes
2025-01-01 Da Re, D.; Andreo, V.; San Miguel, T.; Blaha, M.; Rosà, R.; Rizzoli, A.; Harrison, J.; Sorek, S.; Johnson, L.R.; Huxley, P.J.
Inferring spatiotemporal dynamics of mosquitoes in Italy using machine learning
2024-01-01 Bonannella, C.; Da Re, D.
Impact of climate change on the risk of transmission of endemic vector-borne diseases
2024-01-01 Rizzoli, A.; Arnoldi, D.; Cervantes, G.; Dagostin, F.; Da Re, D.; Ferrari, G.; Inama, E.; Marini, G.; Rosa', R.; Rosso, F.; Tagliapietra, V.
A machine learning modelling framework for the assessment of tick-borne encephalitis risk in Europe
2024-01-01 Dagostin, F.; Marini, G.; Tagliapietra, V.; Rizzoli, A.; Erazo, D.; Dellicour, S.; Da Re, D.; Avdicova, M.; Kerlik, J.; Avšič Županc, T.; Bellenghi, M.; Busani, L.; Cataldo, C.; Dub, T.; Mäkelä, H.; Fiorito, N.; Knap, N.; Gossner, C.M.; Markowicz, M.; Richter, L.; Olyazadeh, R.; Wint, W.; Zuccali, M.G.; Žygutienė, M.
A comparative analysis of predictive models for Aedes albopictus dynamics
2024-01-01 DA RE, D.; Albieri, A.; Blaha, M.; Brass, D.; Caminade, C.; Carrieri, M.; Erguler, K.; Garrido-Zornoza, M.; Ibanez-Justicia, A.; Marini, G.; Hammami, P.; Radici, A.; Wint, W.; Zardini, A.; Rosa', R.
AI solutions for vector surveillance: towards improving public health initiatives in Northern Italy
2024-01-01 Da Re, D.; Dagostin, F.; Blaha, M.; Albieri, A.; Angelini, P.; Rizzoli, A.; Marini, G.
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-gen-2025 | A spatio-temporal modeling framework to assess the probability of human tick-borne encephalitis (TBE) infections across Europe | Dagostin, F.; Erazo, D.; Marini, G.; Da Re, D.; Tagliapietra, V.; Avdicova, M.; Avšič Županc, T.; Dub, T.; Fiorito, N.; Knap, N.; Gossner, C.M.; Kerlik, J.; Mäkelä, H.; Markowicz, M.; Olyazadeh, R.; Richter, L.; Wint, W.; Zuccali, M.G.; Žygutienė, M.; Dellicour, S.; Rizzoli, A. | - | |
| 1-gen-2025 | The Zanzemap project: artificial Intelligence models to forecast vector dynamics in Northern Italy | Marini, G.; Da Re, D.; Dagostin, F.; Blaha, M.; Rizzoli, A. | - | |
| 1-gen-2025 | Advancing arthropod vector management through integrated models | Da Re, D.; Dagostin, F.; Blaha, M.; Erguler, K.; Albieri, A.; Angelini, P.; Rizzoli, A.; Marini, G. | - | |
| 1-gen-2025 | Quantifying the effect of temperature on European Culex pipiens longevity and reproduction in Italy | Wang, Y.; Arnoldi, D.; Inama, E.; Da Re, D.; Dorigatti, I.; Marini, G. | - | |
| 1-gen-2025 | Quantifying the effect of evaporation on the survival of Aedes albopictus at different temperatures | Kern, E.; Marini, G.; Arnoldi, D.; Inama, E.; Dorigatti, I.; Da Re, D. | - | |
| 1-gen-2025 | Quantifying the effect of rainfall intensity on Aedes albopictus larval survival in urban environments | Kern, E.; Da Re, D.; Arnoldi, D.; Inama, E.; Dorigatti, I.; Marini, G. | - | |
| 1-gen-2025 | The Zanzemap project: artificial intelligence models and satellite data to forecast vector dynamics in Northern Italy | Marini, G.; Da Re, D.; Dagostin, F.; Blaha, M.; Rizzoli, A. | - | |
| 1-gen-2025 | From data to action: a machine learning model to support tick-borne encephalitis surveillance and prevention in Europe | Dagostin, F.; Erazo, D.; Marini, G.; Da Re, D.; Tagliapietra, V.; Avdicova, M.; Avšič – Županc, T.; Dub, T.; Fiorito, N.; Knap, N.; Gossner, C.N.; Kerlik, J.; Mäkelä, H.; Markowicz, M.; Olyazadeh, R.; Richter, L.; Wint, W.; Zuccali, M.G.; Žygutienė, M.; Dellicour, S.; Rizzoli, A. | - | |
| 1-gen-2025 | Novel technologies and ensemble modelling for climate-sensitive vector activity and vector-borne disease risk assessment | Erguler, K.; Da Re, D. | - | |
| 1-gen-2025 | Integrating models and co-developed dashboards for enhanced arthropod vector management | Da Re, D.; Dagostin, F.; Blaha, M.; Erguler, K.; Albieri, A.; Angelini, P.; Rizzoli, A.; Marini, G. | - | |
| 1-gen-2025 | AedesTraits: a global dataset of temperature–dependent trait responses in Aedes mosquitoes | Da Re, D.; Andreo, V.; San Miguel, T.; Blaha, M.; Rosà, R.; Rizzoli, A.; Harrison, J.; Sorek, S.; Johnson, L.R.; Huxley, P.J. | - | |
| 1-gen-2024 | Inferring spatiotemporal dynamics of mosquitoes in Italy using machine learning | Bonannella, C.; Da Re, D. | - | |
| 1-gen-2024 | Impact of climate change on the risk of transmission of endemic vector-borne diseases | Rizzoli, A.; Arnoldi, D.; Cervantes, G.; Dagostin, F.; Da Re, D.; Ferrari, G.; Inama, E.; Marini, G.; Rosa', R.; Rosso, F.; Tagliapietra, V. | - | |
| 1-gen-2024 | A machine learning modelling framework for the assessment of tick-borne encephalitis risk in Europe | Dagostin, F.; Marini, G.; Tagliapietra, V.; Rizzoli, A.; Erazo, D.; Dellicour, S.; Da Re, D.; Avdicova, M.; Kerlik, J.; Avšič Županc, T.; Bellenghi, M.; Busani, L.; Cataldo, C.; Dub, T.; Mäkelä, H.; Fiorito, N.; Knap, N.; Gossner, C.M.; Markowicz, M.; Richter, L.; Olyazadeh, R.; Wint, W.; Zuccali, M.G.; Žygutienė, M. | - | |
| 1-gen-2024 | A comparative analysis of predictive models for Aedes albopictus dynamics | DA RE, D.; Albieri, A.; Blaha, M.; Brass, D.; Caminade, C.; Carrieri, M.; Erguler, K.; Garrido-Zornoza, M.; Ibanez-Justicia, A.; Marini, G.; Hammami, P.; Radici, A.; Wint, W.; Zardini, A.; Rosa', R. | - | |
| 1-gen-2024 | AI solutions for vector surveillance: towards improving public health initiatives in Northern Italy | Da Re, D.; Dagostin, F.; Blaha, M.; Albieri, A.; Angelini, P.; Rizzoli, A.; Marini, G. | - |