Aniruddha Belsare is a disease ecologist with a background in veterinary medicine, interspecific transmission, pathogen modeling and conservation research. Aniruddha received his Ph.D. in Wildlife Science (Focus: Disease Ecology) from the University of Missouri in 2013 and subsequently completed a postdoctoral fellowship there (University of Missouri, May 2014 – June 2017). He then was a postdoctoral fellow in the Center for Modeling Complex Interactions at the University of Idaho (June 2017 - March 2019). Currently he is a Research Associate with the Boone and Crockett Quantitative Wildlife Center, Michigan State University.
My research interests primarily lie at the interface of ecology and epidemiology, and include host-pathogen systems that are of public health or conservation concern. I use ecologic, epidemiologic and model-based investigations to understand how pathogens spread through, persist in, and impact host populations. Animal disease systems that I am currently working on include canine rabies, leptospirosis, chronic wasting disease, big horn sheep pneumonia, raccoon roundworm (Baylisascaris procyonis), and Lyme disease.
Developing Disease Modeling Software - MIcro Simulation Tool (MIST). The Reference Model for Disease Progression is my main effort.
My main research field is health economic modeling with the main focus on sexually transmitted diseases. We are trying to build a agent-based model using the FLAME-framework (www.flame.ac.uk).
Socio-ecological modeling
Infectious diseases modeling
Distributed computing modeling, multi-agent computing models, economic and financial models, healthcare chronic disease models
Antônio Sousa is a biologist with a background in medical entomology, disease ecology, statistical and computational modeling. Antônio has a Ph.D. (2018) and Master (2014) in Science from the School of Public Health at the University of São Paulo, Brazil. Currently, he is a postdoctoral fellow in the same institution.
My research interest lies in the study of the transmission and dispersal dynamics of vector-borne diseases. I have been working on the development of statistical, mathematical and computational models to understand bioecology of mosquitoes and to predict the transmission dynamics of pathogens transmitted by these insects.
Direction of the Vector-Borne Disease Network (www.vecnet.org), an international research consortium developing modeling tools that support the development of new strategies to eliminate malaria.
Postdoctoral Research Associate at the CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign
Historical epidemology
Infectious disease
Colonization