Ana Bento - Quantitative Epidemiology & Infectious Disease Ecology

Pandemic Prevention Institute
Rockefeller Foundation
Who
I'm the Scientific Director of Pandemic Prevention Institute @ The Rockefeller Foundation. In this capacity, I am leading a team of researchers to shape, develop and coordinate integrative research into how data-driven modeling can end current and prevent future pandemics. Outside of The Rockefeller Foundation, I'm currently an Assistant Professor @ Indiana University - Bloomington in Epidemiology & Biostatistics, School of Public Health and in EEB Biology. 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. 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, on the ecology & evolution of vaccine preventable childhood diseases (2015-2019).

What
I am building a research program that leverages mathematical and computational modeling, machine learning, and data science to identify the eco-evolutionary, demographic, and environmental drivers of pathogen emergence, persistence, and spread. At IU, 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.
Why
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).
How
My 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 our lab is involved 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 and schistosomiasis. We 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 Akhil Rao & 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
Alpha and Beta CoVs spillover risk
Spillover risk surveillance- big brown bats in Colorado
In collaboration with Rebekah Kading
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,, Curt Lively & Ellen Ketterson
Evolution of antiviral resistance
Computationally test the hypothesis that increased HA binding avidity is associated with increased rates of Oseltamivir resistance.
In collaboration with Sam Scarpino
Investigating the spread of mosquito-borne diseases in complex urban environments
Mathematical models for MBDs
In collaboration with Marco Ajelli & others
Selected Publications
For a complete list of publications check my google scholar. Brief description below with links for the publications

Model-based evaluation of alternative reactive class closure strategies against COVID-19
Liu et al 2022 Nature communications

Vaccinations Against COVID-19 May Have Averted Up To 140,000 Deaths In The United States
Gupta et al 2021 Health Affairs
Revisiting the guidelines for ending isolation for COVID-19 patients
Jeong et al 2021 eLife
Prevalence of Clinical and Subclinical Myocarditis in Competitive Athletes With Recent SARS-CoV-2 Infection. Results From the Big Ten COVID-19 Cardiac Registry
Daniels et al JAMA Cardio. 2021
Global effects of delays in detection of COVID-19
nearing submission (available upon request)
^{Disease-economy trade-offs under alternative pandemic control strategies}
Ash et al medRxiv 2021
^{_{HIV cases during the COVID-19 pandemic in Japan}}
Ejima et al JAIDS 2021
Estimation of the incubation period of COVID-19 using viral load data
Ejima et al. Epidemics 2021
also in medRxiv
^{Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data}
Bento et al PNAS 2020
^{Effects of mitigation strategies on COVID-19 averted cases in Sichuan, China}
Liu et al. Plos Comp Bio 2020
COVID-19 incidence in the county increased on average by a statistically significant 0.024 per thousand residents
Andersen et al. 2020
medRxiv
^{Evolutionary consequences of feedbacks between within-host competition and disease control}
Greischar et al. JID 2020
^{Tracking public and private response to the covid-19 epidemic}
Gupta et al. NBER 2020
^{Inferring Timing of Infection Using Within-host SARS-CoV-2 Infection Dynamics Model: Are “Imported Cases” Truly Imported?}
Ejima et al medRviv 2020
Core pertussis transmission groups in England and Wales: A tale of two eras

Bento et al. 2018. Vaccine
Maternal pertussis immunisation: clinical gains and epidemiological legacy
Bento, King & Rohani. 2017. Eurosurveillance
Forecasting epidemiological consequences of maternal immunization
Bento & Rohani 2016. Clinical Infectious Diseases
EpiJSON: A unifed data-format for epidemiology
Bento & Rohani 2016. Clinical Infectious Diseases
Physiological proteins in resource-limited herbivores experiencing a population die-off
Finnie et al. 2016. Epidemics
A review of epidemiological parameters from Ebola outbreaks to inform early public health decision-making
Garnier et al. 2017
Exploration of the power of routine surveillance data to assess the impacts of industry-led badger culling on bovine tuberculosis incidence in cattle herds
van Kerkove et al. 2015. Scientific Data
Multiple pathways mediate the effects of climate change on maternal reproductive traits in a red deer population
Donnelly et al. 2015. Veterinary Record

Age and sex specific susceptibility as a predictor for COVID-19 prevalence in China
Stoffer et al. 2014. Ecology
The Bento Lab
Get to know us & join us!

Ana Bento PI
Eco-epidemiologist with a focus on ecology and evolution of infectious diseases.
Maria Litvinova Postdoc
SPH
Opidoids models
COVID-19 network models
Seth Edmunds Phd Student
SPH
Varun Rao PhD Student
NRT
Lola & Margot Honorary members
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:

Public Health Surveillance and Monitoring
E 250 @ Indiana University
Based on this book
Introduction to Scientific Computing
Statistics and Computing in R for Ecologists and Epidemiologists (Indiana University- Bloomington
R bootcamp
Self guided workshops
Info
Computational Modeling
Computational Modeling ECOL 8540 - applied to infectious disease systems (May 2018 @ IDEAS, UGA)
Info
Introduction to modelling
Introduction to modelling with R - apply population models (2017 @ Odum School of Ecology)
Info
R code along workshop
Introduction to modelling with R - based on a course i designed while at UGA
Info
Find us here
Bento Lab
School of Public Health, IU-Bloomington
1025 7th Street, #C113
Advisory Work
COVID-19

1
WHO
Technical Advisory Group (TAG) of experts for educational institutions and COVID-19 would be to provide strategic and technical advice to WHO, UNESCO and UNICEF on matters relating to educational institutions and COVID-19 transmission.
2
BIG Ten
Member of the Epi- Core cardiac registry for COVID-19
3
US Track & Field
Epidemiologist in the COVID-19 advisory group
Media Coverage
Links to coverage of our work

Women in Ecology
NSF profile
Nature Ecology & Evolution
Report on my EEID 2018 Talk
IDEAS Data Clinic
Coverage on my Data Clinic and interview
COVID-2019
See excerpts interviews here , The Guardian, StatNews, wtiu, Expresso (Portugal), wfiu, LEO, wtiu, IU, WSJ (for coverage on collaborative work), FOX59, WTFIU, WSJ, Reuters, KHN, MSNBC, NYT, THE, FOX59, ERI, TODAY show, NYT, NIA, Sinclair
AJPH Podcast
Recording available here
Social Me
Check out my latest updates!

Contact

Pandemic Prevention InstituteRockefeller Foundation

Pandemic Prevention Institute

Who

Who

What

What

Why

Why

How

How

Selected ongoing projects

Selected ongoing projects

Adaptive behavior and disease transmission

Adaptive behavior and disease transmission

Integrative Epi-economic framework to understand adaptive changes in behavior and transmission consequences

Integrative Epi-economic framework to understand adaptive changes in behavior and transmission consequences

Evolution of resistance to Schistosomiasis

Evolution of resistance to Schistosomiasis

Investigating population structure and differential transmission potential in snail populations in Senegal.

Investigating population structure and differential transmission potential in snail populations in Senegal.

Alpha and Beta CoVs spillover risk

Alpha and Beta CoVs spillover risk

Spillover risk surveillance- big brown bats in Colorado

Spillover risk surveillance- big brown bats in Colorado

Disease spreading modeling through social and genomic data of SARS-CoV-2 in the United States

Disease spreading modeling through social and genomic data of SARS-CoV-2 in the United States

Integrating paralel data streams

Integrating paralel data streams

Bacterial Evolutionary Signatures

Bacterial Evolutionary Signatures

We are developing holistic mechanistic models of pertussis evolution for countries under different vaccine regimes

We are developing holistic mechanistic models of pertussis evolution for countries under different vaccine regimes

Tick borne emergence in the Midwest

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

Using Indiana as an Early Warning System for tick expansion in the Midwest. Phylogeographic analysis of tick and pathogen diversity and disease dynamics

Evolution of antiviral resistance

Evolution of antiviral resistance

Computationally test the hypothesis that increased HA binding avidity is associated with increased rates of Oseltamivir resistance.

Computationally test the hypothesis that increased HA binding avidity is associated with increased rates of Oseltamivir resistance.

Investigating the spread of mosquito-borne diseases in complex urban environments

Investigating the spread of mosquito-borne diseases in complex urban environments

Mathematical models for MBDs

Mathematical models for MBDs

Selected Publications

Selected Publications

For a complete list of publications check my google scholar. Brief description below with links for the publications

For a complete list of publications check my google scholar. Brief description below with links for the publications

Model-based evaluation of alternative reactive class closure strategies against COVID-19

Model-based evaluation of alternative reactive class closure strategies against COVID-19

Liu et al 2022 Nature communications

Liu et al 2022 Nature communications

Vaccinations Against COVID-19 May Have Averted Up To 140,000 Deaths In The United States

Vaccinations Against COVID-19 May Have Averted Up To 140,000 Deaths In The United States

Gupta et al 2021 Health Affairs

Gupta et al 2021 Health Affairs

Revisiting the guidelines for ending isolation for COVID-19 patients

Revisiting the guidelines for ending isolation for COVID-19 patients

Jeong et al 2021 eLife

Jeong et al 2021 eLife

Prevalence of Clinical and Subclinical Myocarditis in Competitive Athletes With Recent SARS-CoV-2 Infection. Results From the Big Ten COVID-19 Cardiac Registry

Prevalence of Clinical and Subclinical Myocarditis in Competitive Athletes With Recent SARS-CoV-2 Infection. Results From the Big Ten COVID-19 Cardiac Registry

Daniels et al JAMA Cardio. 2021

Daniels et al JAMA Cardio. 2021

Global effects of delays in detection of COVID-19

Global effects of delays in detection of COVID-19

nearing submission (available upon request)

nearing submission (available upon request)

Disease-economy trade-offs under alternative pandemic control strategies

Disease-economy trade-offs under alternative pandemic control strategies

Ash et al medRxiv 2021

Ash et al medRxiv 2021

HIV cases during the COVID-19 pandemic in Japan

HIV cases during the COVID-19 pandemic in Japan

Ejima et al JAIDS 2021

Ejima et al JAIDS 2021

Estimation of the incubation period of COVID-19 using viral load data

Estimation of the incubation period of COVID-19 using viral load data

Ejima et al. Epidemics 2021

Ejima et al. Epidemics 2021

Pandemic Prevention Institute
Rockefeller Foundation

^{Disease-economy trade-offs under alternative pandemic control strategies}

^{Disease-economy trade-offs under alternative pandemic control strategies}

^{_{HIV cases during the COVID-19 pandemic in Japan}}

^{_{HIV cases during the COVID-19 pandemic in Japan}}

^{Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data}

^{Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data}

^{Effects of mitigation strategies on COVID-19 averted cases in Sichuan, China}

^{Effects of mitigation strategies on COVID-19 averted cases in Sichuan, China}

Andersen et al. 2020
medRxiv

Andersen et al. 2020
medRxiv

^{Evolutionary consequences of feedbacks between within-host competition and disease control}

^{Evolutionary consequences of feedbacks between within-host competition and disease control}

^{Tracking public and private response to the covid-19 epidemic}

^{Tracking public and private response to the covid-19 epidemic}

^{Inferring Timing of Infection Using Within-host SARS-CoV-2 Infection Dynamics Model: Are “Imported Cases” Truly Imported?}

^{Inferring Timing of Infection Using Within-host SARS-CoV-2 Infection Dynamics Model: Are “Imported Cases” Truly Imported?}