344 citations · 506 across the 8 of their papers we have counts for
8 papers
A stochastic household model for vector-borne diseases
Andrew Black, Andrew Smith, Alun Lloyd +1
We introduce a stochastic household model for vector-borne diseases, in particular as relevant to prominent vectors belonging to the Aedes genus and hence the Zika, chikungunya, an…
Inference of population-level disease transmissibility from household-structured symptom onset data
P. G. Ballard, A. J. Black, J. V. Ross
First Few X (FFX) studies collect household-stratified data in the early stages of a pandemic, in order to infer severity and transmissibility of an emerging disease. We present a…
Key Questions for Modelling COVID-19 Exit Strategies
Robin N Thompson, T Deirdre Hollingsworth, Valerie Isham +40
Combinations of intense non-pharmaceutical interventions ('lockdowns') were introduced in countries worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to impl…
An Induced Natural Selection Heuristic for Finding Optimal Bayesian Experimental Designs
David J. Price, Nigel G. Bean, Joshua V. Ross +1
Bayesian optimal experimental design has immense potential to inform the collection of data so as to subsequently enhance our understanding of a variety of processes. However, a ma…
A data-driven model for influenza transmission incorporating media effects
Lewis Mitchell, Joshua V. Ross
Numerous studies have attempted to model the effect of mass media on the transmission of diseases such as influenza, however quantitative data on media engagement has until recentl…
Inference of epidemiological parameters from household stratified data
James N. Walker, Joshua V. Ross, Andrew J. Black
We consider a continuous-time Markov chain model of SIR disease dynamics with two levels of mixing. For this so-called stochastic households model, we provide two methods for infer…