443 citations · 1.4k across the 18 of their papers we have counts for
6 papers · 1 filter
Non-systemic transmission of tick-borne diseases: a network approach
Luca Ferreri, Paolo Bajardi, Mario Giacobini
Tick-Borne diseases can be transmitted via non-systemic (NS) transmission. This occurs when tick gets the infection by co-feeding with infected ticks on the same host resulting in…
Pattern of tick aggregation on mice: larger than expected distribution tail enhances the spread of tick-borne pathogens
Luca Ferreri, Mario Giacobini, Paolo Bajardi +5
The spread of tick-borne pathogens represents an important threat to human and animal health in many parts of Eurasia. Here, we analysed a 9-year time series of Ixodes ricinus tick…
On the use of human mobility proxy for the modeling of epidemics
Michele Tizzoni, Paolo Bajardi, Adeline Decuyper +6
Human mobility is a key component of large-scale spatial-transmission models of infectious diseases. Correctly modeling and quantifying human mobility is critical for improving epi…
Optimizing surveillance for livestock disease spreading through animal movements
Paolo Bajardi, Alain Barrat, Lara Savini +1
The spatial propagation of many livestock infectious diseases critically depends on the animal movements among premises; so the knowledge of movement data may help us to detect, ma…
Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere
Paolo Bajardi, Chiara Poletto, Duygu Balcan +9
The unfolding of pandemic influenza A(H1N1) for Fall 2009 in the Northern Hemisphere is still uncertain. Plans for vaccination campaigns and vaccine trials are underway, with the f…
Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
Duygu Balcan, Hao Hu, Bruno Goncalves +9
On 11 June the World Health Organization officially raised the phase of pandemic alert (with regard to the new H1N1 influenza strain) to level 6. We use a global structured metapop…