Research Topics
 Frank BallSummaryAffiliation: University of Nottingham Country: UK Publications

Detail Information
Publications
 Network epidemic models with two levels of mixingFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, UK
Math Biosci 212:6987. 2008....  Household epidemic models with varying infection responseFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
J Math Biol 63:30937. 2011....  Stochastic epidemic models featuring contact tracing with delaysFrank G Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK Electronic address
Math Biosci 266:2335. 2015....  Estimating the withinhousehold infection rate in emerging SIR epidemics among a community of householdsFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
J Math Biol 71:170535. 2015....  Seven challenges for metapopulation models of epidemics, including households modelsFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK Electronic address
Epidemics 10:637. 2015....  A network with tunable clustering, degree correlation and degree distribution, and an epidemic thereonFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
J Math Biol 66:9791019. 2013....  A general model for stochastic SIR epidemics with two levels of mixingFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Math Biosci 180:73102. 2002....  Analysis of a stochastic SIR epidemic on a random network incorporating household structureFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Math Biosci 224:5373. 2010..The effects of the amount of clustering present in the overall population structure and the infectious period distribution on the outcomes of the model are also explored...  An epidemic model with infector and exposure dependent severityFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Math Biosci 218:10520. 2009....  Control of emerging infectious diseases using responsive imperfect vaccination and isolationFrank G Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Math Biosci 216:10013. 2008..They also suggest that an effective isolation policy has a more significant impact than vaccination. The results show that R* alone is not sufficient to summarise the potential for an epidemic...  Optimal vaccination schemes for epidemics among a population of households, with application to variola minor in BrazilFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Stat Methods Med Res 15:48197. 2006..The theory is illustrated by application to data on a variola minor outbreak in São Paulo, which, together with other examples, is used to highlight key issues related to vaccination schemes...  Control of transmission with two types of infectionFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Math Biosci 200:17087. 2006..These judgements are made by comparing the postvaccination reproduction numbers corresponding to different vaccination strategies...  A unified approach to burst properties of multiconductance single ion channelsFrank G Ball
School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK
Math Med Biol 21:20545. 2004....  Optimal vaccination policies for stochastic epidemics among a population of householdsFrank G Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Math Biosci 177:33354. 2002..New explicit results are obtained by a constructive method which explain the form of optimal vaccination policies. Numerical studies are presented which exemplify the results discussed...  Stochastic multitype epidemics in a community of households: estimation and form of optimal vaccination schemesFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, England, UK
Math Biosci 191:1940. 2004..Two different types of vaccine responses, leaky and allornothing, are considered and compared for the problems mentioned above. The methods are illustrated with some numerical examples...  Reproduction numbers for epidemic models with households and other social structures II: Comparisons and implications for vaccinationFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
Math Biosci 274:10839. 2016..In addition, we provide significantly sharper bounds than the existing ones for bracketing the critical vaccination coverage between two analytically tractable quantities, which we illustrate by means of extensive numerical examples. ..  Heterogeneous network epidemics: realtime growth, variance and extinction of infectionFrank Ball
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
J Math Biol . 2017....