Details

Autor(en) / Beteiligte

• Janoušková, Eva
• Rokhsar, Jennifer
• Jara, Manuel
• Entezami, Mahbod
• Horton, Daniel L.
• Dias, Ricardo Augusto
• Machado, Gustavo
• Prada, Joaquín M.
• Diaz, Daniel
• Daniel Diaz

Titel

Quantifying Spillover Risk with an Integrated Bat-Rabies Dynamic Modeling Framework

Ist Teil von

• Transboundary and emerging diseases, 2023-06, Vol.2023, p.1-14

Ort / Verlag

Berlin: Hindawi

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Vampire bat-transmitted rabies has recently become the leading cause of rabies mortality in both humans and livestock in Latin America. Evaluating risk of transmission from bats to other animal species has thus become a priority in the region. An integrated bat-rabies dynamic modeling framework quantifying spillover risk to cattle farms was developed. The model is spatially explicit and is calibrated to the state of São Paulo, using real roost and farm locations. Roost and farm characteristics, as well as environmental data through an ecological niche model, are used to modulate rabies transmission. Interventions aimed at reducing risk in roosts (such as bat culling or vaccination) and in farms (cattle vaccination) were considered as control strategies. Both interventions significantly reduce the number of outbreaks in farms and disease spread (based on distance from source), with control in roosts being a significantly better intervention. High-risk areas were also identified, which can support ongoing programs, leading to more effective control interventions.