Imperial College London

DrRobertVerity

Faculty of MedicineSchool of Public Health

MRC Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 3946r.verity Website

 
 
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Location

 

UG12Praed StreetSt Mary's Campus

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Summary

 

Summary

My interests cover a wide range of disciplines, including evolutionary genetics, phylogeography, and epidemiology. In all of these fields I am interested in developing novel statistical approaches that help us to detect and characterise the key signals of interest amid a sea of randomness and noise. For example, I have worked extensively on spatial data, in which clusters of points may be indicative of some underlying process - such as hot-spots of infection in the case of disease data, or selectively favoured genes in the case of genetic data. Through the use of modern statistical methods, including Bayesian mixture models and Markov Chain Monte Carlo (MCMC), we can identify these hidden patterns in our data, leading to new insights, more efficient use of resources, and ultimately, lives saved.

As well as the spatial element of outbreak analysis, I am also interested in epidemiological modelling in a broader sense. In my current position I am using mathematical models to look into the cost-effectiveness and public health impact of the RTS,S malaria vaccine. The diversity of malaria settings worldwide makes choosing the 'best' intervention a challenge, and hence modelling is a key component in determining when and where any future vaccine is likely to be most effective. Through discussion with the WHO and our partner institutions it is hoped that our analyses will lead to informed decision making over the coming years.

For more info check out my website at www.bobverity.com

Publications

Journals

Aygin DT, Cox LA, Faulkner SC, et al., 2021, Double cross: geographic profiling of V-2 impact sites, Journal of Spatial Science, Vol:66, ISSN:1449-8596, Pages:183-194

Stevens MCA, Faulkner SC, Wilke ABB, et al., 2021, Spatially clustered count data provide more efficient search strategies in invasion biology and disease control, Ecological Applications, ISSN:1051-0761

Watson O, Alhaffar M, Mehchy Z, et al., 2021, Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria, Nature Communications, Vol:12, ISSN:2041-1723, Pages:1-10

Hogan AB, Winskill P, Watson OJ, et al., 2021, Within-country age-based prioritisation, global allocation, and public health impact of a vaccine against SARS-CoV-2: a mathematical modelling analysis, Vaccine, ISSN:0264-410X

Akala HM, Watson OJ, Mitei KK, et al., 2021, Plasmodium interspecies interactions during a period of increasing prevalence of Plasmodium ovale in symptomatic individuals seeking treatment: an observational study, The Lancet Microbe, Vol:2, Pages:e141-e150

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