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Dr Naomi Waterlow

Research Fellow

Room
107

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

I completed my PhD at LSHTM in 2021, entilted "Mathematical Modelling of Respiratory Viral Interactions". Before that I undertook my MSc in Control of Infectious Disease at LSHTM in 2015 and studied Natural Sciences at the University of Cambridge (2011-2014). I also have experience working in the technology sector.

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for Mathematical Modelling of Infectious Diseases (CMMID)

Teaching

I have tutored in Statistics and Epidimiology modules at masters levels, as well as a vareity of undergraduate biological sciences modules.

Research

I study the transmission dynamics of respiratory pathogens, including their interactions and vaccinations. I currently work on next generation influenza vaccination modelling.

My PhD was funded by the MRC London Intercollegiate Doctoral Training Partnership between LSHTM and St George’s University. It investigates interactions between respiratory viruses, primarily Respiratory Syncytical Virus (RSV), influenza and coronaviruses.

My general research interests are in dynamics of viruses, especially respiratory viruses, as well as techniques for statistical inference and their computational implementation.

Research Area
Statistical methods
Viruses
Bayesian Analysis
Modelling
Discipline
Epidemiology
Mathematical modelling
Statistics
Disease and Health Conditions
Influenza
Respiratory disease

Selected Publications

Estimating the duration of seropositivity of human seasonal coronaviruses using seroprevalence studies
Rees EM; Waterlow NR; Lowe R; Kucharski AJ
2021
Wellcome Open Research
Evidence for Influenza and RSV interaction from 10 years of enhanced surveillance in Nha Trang, Vietnam, a modelling study
Waterlow N; Toizumi M; van Leeuwen E; Nguyen H-AT; Myint-Yoshida L; Eggo R; Flasche S
2021
medRxiv
How immunity from and interaction with seasonal coronaviruses can shape SARS-CoV-2 epidemiology.
Waterlow NR; van Leeuwen E; Davies NG; CMMID COVID-19 Working Group; Flasche S; Eggo RM
2021
Proceedings of the National Academy of Sciences of the United States of America
Tooling-up for infectious disease transmission modelling.
Baguelin M; Medley GF; Nightingale ES; O'Reilly KM; Rees EM; Waterlow NR; Wagner M
2020
Epidemics
COVID-19 length of hospital stay: a systematic review and data synthesis
Rees EM; Nightingale ES; Jafari Y; Waterlow N; Clifford S; Pearson CAB; Jombert T; Procter SR; Knight GM
2020
BMC medicine
See more Publications