I'm an Assistant Professor @ Indiana University - Bloomington in Epidemiology & Biostatistics, School of Public Health. I'm a disease ecologist with a focus on ecology and evolution of infectious diseases. I earned my Ph.D. in Ecology & Evolution at Silwood Park, Imperial College London advised by Prof. Mick Crawley. After a MRC postdoctoral fellowship (2013-2015) at Imperial College, Infectious Diseases Epidemiology Department, I accepted a postdoctoral position at the Odum School of Ecology, UGA, to work with Prof. Pej Rohani on the ecology & evolution of vaccine preventable childhood diseases (2015-2019).
I'm fascinated by trying to understand the frequency, magnitude and shape of seasonal disease dynamics and the effects of population heterogeneity. Primarily, identifying evolutionary, ecological and demographic drivers of (re-) emergence and seasonality of infectious disease systems, with the aim of informing vaccination and other control public health policies. Scaling up individual-level interactions to understand the population-level outcomes (e.g., the evolution of virulence or immune evasion).
My lab focuses on the ecology of infectious diseases in humans and other animals. Our research agenda seeks to understand the dynamics of biological populations and epidemics, focusing on how to bring experimental and observational data together with mathematical theory. The majority of my body of work has been on vaccine preventable diseases dynamics, with a view to understanding fundamental processes in ecology and evolution. The lab ongoing research falls into the following themes: (i) pathogen evolution and phylodynamics; (ii) seasonal disease transmission; (iii) anthropogenic effects (e.g. vaccines); (iv) adaptive behavior.
My lab approach is to develop theoretical models to understand how human and other animal systems behave generally, while simultaneously seeking to confront and validate models with data and make predictions. We use a combination of mathematical modelling, phylodynamics approaches and cutting-edge statistical inference techniques. We focus on developing coupled models (epi-econ, evo-eco) to holistically understand a system. With these methods we are able to make quantitative, testable predictions and confront process-based models with parallel data streams. This is the central premise of my lab's research program and the common thread of our work.
Selected ongoing projects
A selection of projects I'm involved in much of my current research is based on understanding long-term data on spatio-temporal incidence patterns of microparasitic infections such as pertussis and measles. In addition, Some new projects on COVID-19. In my work, I formalize scientific hypotheses as mathematical models to make precise predictions and powerful inference.
Adaptive behavior and disease transmission
Integrative Epi-economic framework to understand adaptive changes in behavior and transmission consequences
In collaboration with Dan Kaffine & Antonio Bento
Evolution of resistance to Schistosomiasis
Investigating population structure and differential transmission potential in snail populations in Senegal.
In collaboration with Jason Rohr, Maurine Neiman & Curt Lively
Disease spreading modeling through social and genomic data of SARS-CoV-2 in the United States
Integrating paralel data streams
In collaboration with Carla Mavian
Bacterial Evolutionary Signatures
We are developing holistic mechanistic models of pertussis evolution for countries under different vaccine regimes
In collaboration with Andy Preston, Sam Scarpino, Matthew Hahn & Michael Weigand
Tick borne emergence in the Midwest
Using Indiana as an Early Warning System for tick expansion in the Midwest. Phylogeographic analysis of tick and pathogen diversity and disease dynamics
In collaboration with Karo Oomodior, Keith Clay, Dan Becker, Curt Lively & Ellen Ketterson
For a complete list of publications check my google scholar. Brief description below with links for the publications
Revisiting the guidelines for ending isolation for COVID-19 patients
Jeong et al In review
Global effects of delays in detection of COVID-19
nearing submission (available upon request)
Age and sex specific susceptibility as a predictor for COVID-19 prevalence in China
ongoing (available upon request)
Teaching | Mentoring
I have been fortunate to create and teach a variety of classes and mentor several outstanding undergraduate and MSc. and Ph.D. students.
Three unifying principles guide my teaching and mentoring approach:
(i) combining foundational principles with practical application
(ii) guided active learning
(iii) quantitative reasoning
These are examples of some courses I have designed and or taught:
Introduction to Scientific Computing
Statistics and Computing in R for Ecologists and Epidemiologists (Indiana University- Bloomington
Computational Modeling ECOL 8540 - applied to infectious disease systems (May 2018 @ IDEAS, UGA)
Links to coverage of our work
Ana I Bento © 2019 | Background image R code adapted from data imaginist