Data-driven modeling to assess receptivity for Rift Valley Fever virus.

• Główni autorzy: Christopher M Barker (Autor), Tianchan Niu (Autor), William K Reisen (Autor), David M Hartley (Autor)
• Format: Książka
• Wydane: Public Library of Science (PLoS), 2013-11-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

Rift Valley Fever virus (RVFV) is an enzootic virus that causes extensive morbidity and mortality in domestic ruminants in Africa, and it has shown the potential to invade other areas such as the Arabian Peninsula. Here, we develop methods for linking mathematical models to real-world data that coul...