The Agusto Lab
Ecology Meets Epidemiology
Ecology Meets Epidemiology
I am a trained applied mathematician based in the Department of Ecology and Evolutionary Biology at the University of Kansas with an interdisciplinary research Lab working at the intersection of mathematics, biology, ecology, and public health to better understand disease dynamics through mathematical and computational modeling. My lab develops mechanistic, stochastic, and spatial models to study vector-borne diseases such as malaria, dengue, Zika, Lyme disease, and anaplasmosis, as well as emerging infections including COVID-19, Ebola, and MRSA.
My research in recent times has focused on three interconnected areas:
COVID-19, human behavior, mental health, and social systems,
Tick ecology, tick-borne diseases, and prescribed fire,
Agro-ecological disease systems.
My lab integrates methods from mathematical epidemiology, dynamical systems, stochastic processes, spatial statistics, reaction–diffusion modeling, and agent-based modeling. Research in my lab is highly interdisciplinary and collaborative, with applications ranging from local to global systems, including studies in the United States, Nigeria, Senegal, South Africa, Indonesia, and Pakistan.
I am looking for talented and hardworking students to join my lab, see Join The Lab page.
The Agusto Lab
Department of Ecology & Evolutionary Biology,
University of Kansas
1200 Sunnyside Ave.
Lawrence, KS 66045
E-mail: fbagusto@gmail.com
Tel : +1 785-864-2573
ORCID: https://orcid.org/0000-0001-6137-6480
GitHub: https://github.com/AgustoLab
Ticks, Fire, and Control
Bovine Tuberculosis
Avian influenza
Ebola Virus
Toxoplasma Gondii