Pranav Pandit

Pranav is a veterinary epidemiologist with a research interest in the ecology of emerging infectious diseases. His expertise lies in the mathematical modeling of infectious diseases of wildlife, livestock, and humans. Pranav's recent research investigates environmental factors associated with the distribution of zoonotic pathogens in animal populations using innovative machine learning approaches. He also has experience in large-scale agent-based models to quantify mechanisms of transmission for livestock pathogens and optimize mitigation strategies.

Recent Projects

• Novel Coronaviruses Are Riskiest for Spillover
• Detecting Wildlife Illness and Death With New Early Alert System
• Where Will the World's Next Zika, West Nile or Dengue Virus Come From?
• Tracking Hummingbird Interactions at Urban Feeders

Recent Publications

• Predicting the potential for zoonotic transmission and host associations for novel viruses
• Evaluation of minimally invasive sampling methods for detecting Avipoxvirus: Hummingbirds as a case example
• Evolutionary trajectory of SARS-CoV-2 and emerging variants
• Early detection of wildlife morbidity and mortality through an event-based surveillance system
• Dairy management practices associated with multi-drug resistant fecal commensals and Salmonella in cull cows: a machine learning approach
• Vulnerabilities for Exposure to Emerging Infectious Disease at Urban Settlements in Nepal
• Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
• Use of RFID technology to characterize feeder visitations and contact network of hummingbirds in urban habitats
• TaqMan quantitative real-time PCR for detecting Avipoxvirus DNA in various sample types from hummingbirds