Andrea Apolloni

The paper compares PPR control strategies in Nigeria using a livestock mobility network, finding that targeting the network backbone is most effective in reducing epidemic outcomes.

This study estimates PPRV transmission speed and exposure time in goats using experimental infections and UWB sensors, finding that high animal density significantly increases infection risk.

This study detects CCHFV antibodies in cattle and wildlife in southern France, identifies spatial clusters, and links seropositivity to environmental and demographic factors.

The paper simulates the spread of a PPR-like disease using mobility data to identify sentinel nodes and assess the impact of missing movement data on epidemic prediction.

The paper identifies sentinel nodes in Nigeria's livestock movement network to improve PPR surveillance, finding 45% of backbone nodes remain stable across configurations.