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Ana Bento - Quantitative Epidemiology & Infectious Disease Ecology | Pathogen Evolution

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Ana Bento - Quantitative Epidemiology & Infectious Disease Ecology | Pathogen Evolution

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Ana Bento - Quantitative Epidemiology & Infectious Disease Ecology & Evolution | Scientific Director @ Pandemic Prevention Institute | Assist Prof Epidemiology @ Indiana University

Længde : 181

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Overskrifter

H1 H2 H3 H4 H5 H6
0 12 72 10 2 35
  • [H2] We are hiring!
  • [H2] Details:
  • [H2] Who
  • [H2] Selected ongoing projects
  • [H2] Selected Publications
  • [H2] The Bento lab
  • [H2] Teaching | Mentoring | Workshops
  • [H2] Advisory Modeling & Policy-related work
  • [H2] Bento Lab values
  • [H2] Socials
  • [H2] Media Coverage
  • [H2] Check out our latest updates!
  • [H3] What
  • [H3] Why
  • [H3] How
  • [H3] Adaptive behavior and disease transmission
  • [H3] Evolution of resistance to Schistosomiasis
  • [H3] Alpha and Beta CoVs spillover risk
  • [H3] Disease spreading modeling through social and genomic data of SARS-CoV-2 in the United States
  • [H3] Bacterial Evolutionary Signatures
  • [H3] Tick borne emergence
  • [H3] Evolution of antiviral resistance
  • [H3] Early risk-assessment of pathogen genomic variants emergence
  • [H3] Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data
  • [H3] Genomic epidemiology sheds light on the recent spatio-temporal dynamics of Yellow Fever virus and the spatial corridor that fueled its ongoing emergence in southern Brazil
  • [H3] Wastewater surveillance of pathogens can inform public health responses
  • [H3] Disease-economy trade-offs under alternative pandemic control strategies
  • [H3] Model-based evaluation of alternative reactive class closure strategies against COVID-19
  • [H3] Designing isolation guidelines for COVID-19 patients with rapid antigen tests
  • [H3] Vaccinations Against COVID-19 May Have Averted Up To 140,000 Deaths In The United States
  • [H3] Revisiting the guidelines for ending isolation for COVID-19 patients
  • [H3] Prevalence of Clinical and Subclinical Myocarditis in Competitive Athletes With Recent SARS-CoV-2 Infection. Results From the Big Ten COVID-19 Cardiac Registry
  • [H3] HIV cases during the COVID-19 pandemic in Japan
  • [H3] Global effects of delays in detection of COVID-19
  • [H3] Estimation of the incubation period of COVID-19 using viral load data
  • [H3] Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data
  • [H3] Effects of mitigation strategies on COVID-19 averted cases in Sichuan, China
  • [H3] COVID-19 incidence in the county increased on average by a statistically significant 0.024 per thousand residents
  • [H3] Evolutionary consequences of feedbacks between within-host competition and disease control
  • [H3] Tracking public and private response to the covid-19 epidemic
  • [H3] Inferring Timing of Infection Using Within-host SARS-CoV-2 Infection Dynamics Model: Are “Imported Cases” Truly Imported?
  • [H3] Core pertussis transmission groups in England and Wales: A tale of two eras 
  • [H3] Maternal pertussis immunisation: clinical gains and epidemiological legacy
  • [H3] Forecasting epidemiological consequences of maternal immunization
  • [H3] EpiJSON: A unifed data-format for epidemiology
  • [H3] Physiological proteins in resource-limited herbivores experiencing a population die-off
  • [H3] A review of epidemiological parameters from Ebola outbreaks to inform early public health decision-making
  • [H3] Exploration of the power of routine surveillance data to assess the impacts of industry-led badger culling on bovine tuberculosis incidence in cattle herds
  • [H3] Multiple pathways mediate the effects of climate change on maternal reproductive traits in a red deer population
  • [H3] Ana Bento PI 
  • [H3] Siyu Chen Postdoc
  • [H3] Yining Sun PhD Student 
  • [H3] Sebastían Llanos-Soto
  • [H3] Postdoc
  • [H3] Laura AlexanderPostdoc
  • [H3] Tijs Alleman Postdoc
  • [H3] Elvira D'Bastiani Postdoc
  • [H3] Robel KassaProduct developer
  • [H3] Herman ZhangMPH Student
  • [H3] Taylor McGeePhD Student
  • [H3] Romona LingUG Student
  • [H3] Former team members
  • [H3] Agastya MondalFormer Research Analyst
  • [H3] Mina Parastarn Former Engineer dev 
  • [H3] Cate HeineFormer Research Assistant now at UCL
  • [H3] Kaithlyn Jonhson Former Postdoc now at LSTMH
  • [H3] Zachary Susswein Former Research Analyst now at CDC
  • [H3] Maria Litvinova Former Postdoc NOw at IU
  • [H3] Public Health Surveillance and Monitoring
  • [H3] Introduction to Scientific Computing
  • [H3] R bootcamp
  • [H3] Computational Modeling
  • [H3] Introduction to modelling
  • [H3] R code along workshop
  • [H3] WHO
  • [H3] BIG Ten
  • [H3] US Track & Field
  • [H3] PAHO
  • [H3] FIOCRUZ
  • [H3] Manuscripts & other results
  • [H3] Women in Ecology
  • [H3] Nature Ecology & Evolution
  • [H3] IDEAS Data Clinic
  • [H3] AJPH Podcast
  • [H4] Looking for Postdoctoral Research Associates
  • [H4] We’re interested in working with people who like to ask big, interesting questions that ecompass evolution, epidemiology, ecology and bahavior. We particularly welcome people who are (or are striving to be) independent, self-motivated, collaborative, and excited to learn. We encourage applicants from all backgrounds: our work thrives on the exchange of knowledge and ideas between people with diverse interests and life experiences.  
  • [H4] I'm an assistant professor @ Cornell University Vet School. I lead a team of transdisciplinary researchers to shape, develop and coordinate integrative research into how data-driven modeling to end current and prevent future pandemics. 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) @ Imperial College, Infectious Diseases Epidemiology Department, I took a postdoctoral position @ the Odum School of Ecology, UGA, on the ecology & evolution of vaccine preventable childhood diseases (2015-2019). Prior to joining Cornell, I was faculty at IU SPH (2019-2023), and while on extended sabattical, I took a position at Rockefeller Foundation (2022-2023) as Director of Science.
  • [H4] 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.
  • [H4] For a complete list of publications check my google scholar. Brief description below with links for the publications
  • [H4] Get to know us & join us!
  • [H4] 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 I have also organized NSF funded workshops on addressing complex systems problemsThese are examples of some courses I have designed and or taught:
  • [H4] Moving towards a holistic transdisciplinary view to Ecology and Evolution of Infectious Diseases                       
  • [H4]   
  • [H4] Links to selected coverage of our work
  • [H5] Cornell University
  • [H5] Investigating the spread of mosquito-borne diseases in complex urban environments
  • [H6] Integrative Epi-economic framework to understand adaptive changes in behavior and transmission consequences
  • [H6] Investigating population structure and differential transmission potential in snail populations in Senegal.
  • [H6] Spillover risk surveillance- big brown bats in Colorado
  • [H6] Integrating paralel data streams
  • [H6] We are developing holistic mechanistic models of pertussis evolution for countries under different vaccine regimes
  • [H6] Using Indiana as an Early Warning System for tick expansion in the Midwest. Phylogeographic analysis of tick and pathogen diversity and disease dynamics
  • [H6] Computationally test the hypothesis that increased HA binding avidity is associated with increased rates of Oseltamivir resistance.
  • [H6] Mathematical models for MBDs
  • [H6] Susswein et al 2023 MedRxiv
  • [H6] Manica et al 2023 Epidemiology & Infection
  • [H6] Giovanetti et al 2023 MedRxiv
  • [H6] Diamond et al 2022 Nature Medicine
  • [H6] Ash et al Nature comms 2022
  • [H6] Liu et al 2022 Nature comms
  • [H6] Jeong et al Nat comms 2022
  • [H6] Gupta et al 2021 Health Affairs
  • [H6] Jeong et al 2021 eLife
  • [H6] Daniels et al JAMA Cardio. 2021
  • [H6] Ejima et al JAIDS 2021
  • [H6] nearing submission
  • [H6] Ejima et al. Epidemics 2021
  • [H6] Bento et al PNAS 2020
  • [H6] Liu et al. Plos Comp Bio 2020
  • [H6] Andersen et al. 2020 medRxiv
  • [H6] Greischar et al. JID 2020
  • [H6] Gupta et al. NBER 2020
  • [H6] Ejima et al medRviv 2020
  • [H6] Bento et al. 2018. Vaccine
  • [H6] Bento, King & Rohani. 2017. Eurosurveillance
  • [H6] Bento & Rohani 2016. Clinical Infectious Diseases
  • [H6] Bento & Rohani 2016. Clinical Infectious Diseases
  • [H6] Finnie et al. 2016. Epidemics
  • [H6] Garnier et al. 2017
  • [H6] van Kerkove et al. 2015. Scientific Data
  • [H6] Donnelly et al. 2015. Veterinary Record

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