title: Optimal prophylactic vaccination in segregated populations: When can we improve on the equalising strategy?
abstract: One of the fundamental problems in public health is how to allocate a limited set of resources to have the greatest benefit on the health of the population. This often leads to difficult value judgements about budget allocations. However, one scenario that is directly amenable to mathematical analysis is the optimal allocation of a finite stockpile of vaccine when the population is partitioned into many relatively small cliques, often conceptualised as households. For the case of SIR (susceptible-infectious-recovered) dynamics, analysis and numerics have supported the conjecture that an equalising strategy (which leaves equal numbers of susceptible individuals in each household) is optimal under certain conditions. However, there exists evidence that some of these conditions may be invalid or unsuitable in many situations. Here we consider how well the equalising strategy performs in a range of other scenarios that deviate from the idealised household model. We find that in general the equalising strategy often performs optimally, even far from the idealised case. However, when considering large subpopulation sizes, frequency-dependent transmission and intermediate levels of vaccination, optimality is often achieved through more heterogeneous vaccination strategies.
authors.affiliation: WIDER Centre, University of Warwick, UK; Mathematics Institute, University of Warwick, UK; School of Life Sciences, University of Warwick, UK. Electronic address: M.J.Keeling@warwick.ac.uk.
authors.forename: Matt J
authors.initials: MJ
authors.lastname: Keeling
authors.affiliation: School of Mathematical Sciences, University of Adelaide, Australia.
authors.forename: J V
authors.initials: JV
authors.lastname: Ross
mesh_terms: D003140:Communicable Disease Control / Q000379:methods* / Q000706:statistics & numerical data*; D005191:Family Characteristics; D006801:Humans; D015233:Models, Statistical; D011634:Public Health / Q000379:methods* / Q000706:statistics & numerical data*; D006113:United Kingdom; D014611:Vaccination / Q000706:statistics & numerical data*
keywords: Households; Metapopulation; Optimal control; Vaccination