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Sinead E. Morris

Influenza Modeling Consultant

Biography

I'm a self-employed modeling consultant supporting the Influenza Division at CDC and working on questions that integrate mathematical modeling with public health.

Interests

  • Mathematical modeling
  • Public Health
  • Epidemiology
  • Immunology & cross-scale dynamics

Education

  • PhD in Ecology and Evolutionary Biology, 2018

    Princeton University

  • MA in Ecology and Evolutionary Biology, 2015

    Princeton University

  • Msci in Mathematics, 2013

    University of Glasgow

Skills

Math modeling

Data analysis

Software design

Experience

 
 
 
 
 

Consultant in Infectious Disease Modeling

Oct 2023 – Present Cambridge, United Kingdom
  • Risks of influenza disease and benefits of vaccination among pregnant people
  • Impacts of influenza antiviral treatment in reducing hospitalizations
  • Modeling for emergency preparedness and response activities
 
 
 
 
 

Prevention Effectiveness Fellow (Analytics and Modeling Track)

Influenza Division, CDC

Aug 2021 – Aug 2023 Atlanta, GA
  • Seasonal influenza transmission dynamics
  • Impacts of vaccines and other pharmaceutical interventions on influenza disease burden
 
 
 
 
 

Postdoctoral Research Scientist

Columbia University

Jul 2018 – Aug 2021 New York, NY

Supervised by Prof. Andrew Yates

Projects included:

  • HIV dynamics in infants on antiretroviral treatment
  • Population dynamics of memory T cells
  • Modeling T cell responses to influenza infection
 
 
 
 
 

PhD student

Princeton University

Aug 2013 – Jun 2018 Princeton, NJ

Supervised by Prof. Bryan Grenfell

Projects included:

  • Within-host dynamics of measles
  • Spatial spread of seasonal influenza
  • Modeling an outbreak of dolphin morbillivirus (DMV)
  • Unravelling the impact of within-host immune responses on population dynamics

Recent publications

(2024). Estimating historical impacts of vaccination against influenza B/Yamagata in the United States to inform possible risks of re-emergence in the absence of vaccination. medrxiv.

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(2024). Estimating historical disease burden and the impact of vaccination by influenza type and subtype in the United States, 2016-2020. medrxiv.

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(2024). Modeling the potential impacts of outpatient antiviral treatment in reducing influenza-associated hospitalizations in the United States. medrxiv.

PDF DOI

(2024). Estimating the generation time for SARS-CoV-2 transmission using household data in the United States, December 2021-May 2023. medrxiv.

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(2024). Influenza virus shedding and symptoms: Dynamics and implications from a multi-season household transmission study. PNAS Nexus.

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Software

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SARS-CoV-2 severity-blocking immunity

Companion shiny app to Saad-Roy et al. 2024 PLoS Comp. Bio.

Long COVID

Companion shiny app to Saad-Roy et al. 2023 J. R. Soc. Interface

Vaccine nationalism

Companion shiny app to Wagner & Saad-Roy et al. 2021 Science

SARS-CoV-2 dynamics

Companion shiny app to Saad-Roy & Wagner et al. 2020 Science

SARS-CoV-2 vaccination

Companion shiny app to Saad-Roy et al. 2021 Science

Modeling tissue-resident memory T cells

How to model tissue-resident memory T cells in nonlymphoid tissues.

shinySIR

Interactive plotting for models of infectious disease spread

ushr

Understanding suppression of HIV in R.

Teaching resources

Modeling 101 for Public Health

Math, Models, and Social Mixing

From the RockEDU event page: “This week on Data for the People, postdocs Chloe Pasin and Sinead Morris will talk about how …

SIS model for malaria

Background: simple SIS model Let’s start by refreshing the basics of the SIS model. Susceptible individuals (\(S\)) become infected and …

Disease modeling short course