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Dr Pauline Paterson

Associate Professor

United Kingdom

Dr. Pauline Paterson is an Associate Professor in the Department of Infectious Disease Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM), UK. Dr. Paterson is the Co-Programme Director of the MSc in Climate Change and Planetary Health and the Trust in Climate Science Lead at the Confidence Project, LSHTM.

Dr. Paterson holds a joint appointment at the Grantham Institute for Climate Change, Imperial College London. Dr. Paterson is a member of the National Institute for Health Research (NIHR) Health Protection Research Unit in Vaccines and Immunisation, and has an honorary academic contract with UK Health Security Agency.

Affiliations

Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health

Centres

Vaccine Centre
Centre on Climate Change and Planetary Health

Teaching

I am Co-Programme Director of the MSc in Climate Change and Planetary Health.

I was co-module organiser for the MSc module 'Applied Communicable Disease Control' and seminar leader for the module 'Issues in Public Health' (2017-2022).

I have given lectures and seminars at LSHTM, Imperial College London, University College London, the University of Hong Kong in Hong Kong, the Institute of Tropical Medicine and International Health in Germany, and the International Vaccine Institute in South Korea.

I am the main supervisor to a DrPH student and an associate supervisor to a PhD student on the LSHTM/Nagasaki University Joint programme, who is exploring rabies prevention, vaccine uptake and vaccine attitudes in the Philippines.

I was the main supervisor of a PhD student who researched social and cognitive factors underlying vaccine uptake and refusal in pregnant women. I was an associate supervisor to a PhD student who explored factors influencing vaccination uptake among ethnic minorities during pregnancy in England.

I supervise MSc research projects and tutor students.

Research

Dr. Paterson has been researching public perceptions around climate change and climate action globally, more recently exploring public perceptions and communication of the co-benefits of climate action in the UK.

Dr. Paterson has also been researching issues of public confidence in immunisations since 2010. Specific research areas include COVID-19 vaccination beliefs and behaviours among health and social care workers in the UK, views and experiences of vaccinating during pregnancy globally, misinformation narratives online, and public trust in vaccination.

Research Area
Climate change
Planetary health
Decision analysis
Vaccine confidence
Sociology

Selected Publications

Vaccination, information and parental confidence in the digital age in England.
Campbell, H; PATERSON, P; Letley, L; Saliba, V; MOUNIER-JACK, S; Yarwood, J;
2023
Vaccine: X
Covid-19 vaccine roll-out in England: A qualitative evaluation.
MOUNIER-JACK, S; PATERSON, P; BELL, S; Letley, L; KASSTAN, B; CHANTLER, T;
2023
PloS one
Adapting SARS-CoV-2 vaccination delivery in England to population needs: a thematic analysis of providers and commissioner's perceptions.
ISMAIL, S; CHANTLER, T; PATERSON, P; Letley, L; BELL, S; MOUNIER-JACK, S;
2023
BMC health services research
Self-spreading vaccines: Base policy on evidence-Response.
Lentzos, F; Rybicki, EP; Engelhard, M; PATERSON, P; Sandholtz, WA; Reeves, RG;
2022
Science (New York, N.Y.)
COVID-19 vaccination beliefs, attitudes, and behaviours among health and social care workers in the UK: A mixed-methods study.
BELL, S; Clarke, RM; ISMAIL, SA; OJO-AROMOKUDU, O; Naqvi, H; Coghill, Y; Donovan, H; Letley, L; PATERSON, P; MOUNIER-JACK, S;
2022
PloS One
Eroding norms over release of self-spreading viruses.
Lentzos, F; Rybicki, EP; Engelhard, M; PATERSON, P; Sandholtz, WA; Reeves, RG;
2022
Science (New York, N.Y.)
COVID-19 vaccination beliefs, attitudes, and behaviours among health and social care workers in the UK: Survey dataset
BELL, S; Clarke, R; MOUNIER-JACK, S; PATERSON, P; ISMAIL, S; Ojo-Aromokudu, O;
2021
London School of Hygiene & Tropical Medicine
Categorizing Vaccine Confidence With a Transformer-Based Machine Learning Model: Analysis of Nuances of Vaccine Sentiment in Twitter Discourse.
Kummervold, PE; Martin, S; DADA, S; Kilich, E; Denny, C; PATERSON, P; LARSON, HJ;
2021
JMIR Medical Informatics
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