Vaccination heterogeneity and social networks: revealing how susceptible individuals connect at multiple scales to enhance the control of vaccine-preventable diseases

Where does the project lie on the Translational Pathway?

T1 – Basic Research

Expected Outputs

Publications and presentations from each of the research chapters.

Methodological groundwork for further research application, applying modelling to specific countries (e.g. Thailand, where the PI has close links with MoH)

Possibility to develop tool for health agencies, including PHE, to use to predict where future outbreaks may be expected, and for targeting of catch-up campaigns.

Training Opportunities

Programming in appropriate computational languages (e.g., R, C++, python)

Quantitative skills include mathematical modelling, statistical fitting;

Infectious disease epidemiology

Skills Required

Essential: Aptitude for quantitative work; mathematics/physics or computer science to A-level equivalent. Preferred: experience in coding

Key Publications associated with this project

Danon L, Read JM, House TA, Vernon MC, Keeling MJ. Social encounter networks: characterizing Great Britain. Proceedings of the Royal Society B: Biological Sciences. 2013 Aug 22;280(1765):20131037.

Hungerford D, Macpherson P, Farmer S, Ghebrehewet S, Seddon D, Vivancos R, Keenan A. Effect of socioeconomic deprivation on uptake of measles, mumps and rubella vaccination in Liverpool, UK over 16 years: a longitudinal ecological study. Epidemiology & Infection. 2016 Apr;144(6):1201-11.

Glass K, Kappey J, Grenfell BT. The effect of heterogeneity in measles vaccination on population immunity. Epidemiology & Infection. 2004 Aug;132(4):675-83.

Read JM, Eames KT, Edmunds WJ. Dynamic social networks and the implications for the spread of infectious disease. Journal of the Royal Society Interface. 2008 Mar 4;5(26):1001-7.

Eubank S, Guclu H, Kumar VA, Marathe MV, Srinivasan A, Toroczkai Z, Wang N. Modelling disease outbreaks in realistic urban social networks. Nature. 2004 May;429(6988):180.

LSTM Themes and Topics – Key Words

“Maternal, Newborn & Child Health” and subthemes “Global Child Health” and “Respiratory infections”

The call for applications for the 2020-21 round of studentships is now OPEN. Deadline for receipt of complete application 23:59 13th February 2020

Further information on the programme and application process can be found here