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Optimal but unequitable prophylactic distribution of vaccine
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Keeling, Matthew James and Shattock, Andrew. (2012) Optimal but unequitable prophylactic distribution of vaccine. Epidemics, Vol.4 (No.2). pp. 78-85. ISSN 17554365
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Official URL: http://dx.doi.org/10.1016/j.epidem.2012.03.001
Abstract
The final epidemic size (R∞) remains one of the fundamental outcomes of an epidemic, and measures the total number of individuals infected during a "free-fall" epidemic when no additional control action is taken. As such, it provides an idealised measure for optimising control policies before an epidemic arises. Although the generality of formulae for calculating the final epidemic size have been discussed previously, we offer an alternative probabilistic argument and then use this formula to consider the optimal deployment of vaccine in spatially segregated populations that minimises the total number of cases. We show that for a limited stockpile of vaccine, the optimal policy is often to immunise one population to the exclusion of others. However, as greater realism is included, this extreme and arguably unethical policy, is replaced by an optimal strategy where vaccine supply is more evenly spatially distributed.
| Item Type: | Journal Article |
|---|---|
| Subjects: | R Medicine > RA Public aspects of medicine |
| Divisions: | Faculty of Science > Life Sciences (2010- ) Faculty of Science > Mathematics |
| Library of Congress Subject Headings (LCSH): | Epidemics -- Mathematical models, Vaccination -- Mathematical models |
| Journal or Publication Title: | Epidemics |
| Publisher: | Elsevier Science BV |
| ISSN: | 17554365 |
| Date: | 2012 |
| Volume: | Vol.4 |
| Number: | No.2 |
| Page Range: | pp. 78-85 |
| Identification Number: | 10.1016/j.epidem.2012.03.001 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| Funder: | Medical Research Council (Great Britain) (MRC), Engineering and Physical Sciences Research Council (EPSRC) |
| References: | Anderson, R.M., May, R.M., 1982. Directly transmitted infections diseases: control by vaccination? Science 215 (4536), 1053–1060. Anderson, R.M., May, R.M., 1984. Spatial, temporal, and genetic heterogeneity in host populations and the design of immunization programmes. IMA J. Math. Appl. Med. Biol. 1 (3), 233–266. Arino, J., Cooke, K., der Driessche, P.V., Velasco-Hernandez, J., 2004. An epidemiology model that includes a leaky vaccine with a general waning function. Discrete Cont. Dyn.-B 4, 479–495. Bailey, N.R.J., 1953. The total size of a general stochastic epidemic. Biometrika 40, 177–185. Ball, F., Britton, T., Lyne, O., 2004. Stochastic multitype epidemics in a community of households: estimation and form of optimal vaccination schemes. Math. Biosci. 191, 19–40. Bansal, S., Pourbohloul, B., Meyers, L.A., 2006. A comparative analysis of influenza vaccination programs. PloS Med. 3, 1816–1825. Barbour, A., Mollison, D., 1990. Epidemics and random graphs. In: Gabriel, Lefevre, Picard (Eds.), Stochastic Processes in Epidemic Theory, Lecture Notes in Biomaths. Springer, pp. 86–89. Bauch, C., Galvani, A., Earn, D., 2003. Group interest versus self-interest in smallpox vaccination policy. Proc. Natl. Acad. Sci. U.S.A. 100, 10564–10567. Becker, N., Starczak, D., 1997. Optimal vaccination strategies for a community of households. Math. Biosci. 139, 117–132. Brown, V.L., White, K.A.J., 2011. The role of optimal control in assessing the most cost-effective implementation of a vaccination programme: Hpv as a case study. Math. Biosci. 231, 126–134. Buonomo, B., 2011. A simple analysis of vaccination strategies for rubella. Math. Biosci. Eng. 8, 677–687. Cauchemez, S., Donnelly, C.A., Reed, C., Ghani, A.C., Fraser, C., Kent, C.K., Finelli, L., Ferguson, N.M., 2009. Household transmission of 2009 pandemic influenza a (H1N1) virus in the United States. New Engl. J. Med. 361, 2619–2627. Clancy, D., Green, N., 2007. Optimal intervention for an epidemic model under parameter uncertainty. Math. Biosci. 205, 297–314. Dushoff, J., Plotkin, J.B., Viboud, C., Simonsen, L., Miller, M., Loeb, M., Earn, D.J.D., 2007. Vaccinating to protect a vulnerable subpopulation. PloS Med. 4, 921–927. Ferguson, N.M., Cummings, D.A.T., Fraser, C., Cajka, J.C., Cooley, P.C., Burke, D.S., 2006. Strategies for mitigating an influenza pandemic? Nature 442 (7101), 448–452. Forster, G.A., Gilligan, C.A., 2007. Optimizing the control of disease infestations at the landscape scale. Proc. Natl. Acad. Sci. U.S.A. 104, 4984–4989. Fraser, C., Cummings, D.A.T., Klinkenberg, D., Burke, D.S., Ferguson, N.M., 2011. Influenza transmission in households during the 1918 pandemic. Am. J. Epidemiol. 174, 505–514. Gaff, H., Schaefer, E., 2009. Optimal control applied to vaccination and treatment strategies for various epidemiological models. Math. Biosci. Eng. 6, 469–492. Galvani, A.P., Reluga, T.C., Chapman, G.B., 2007. Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum. Proc. Natl. Acad. Sci. U.S.A. 104, 5692–5697. Germann, T., Kadau, K., Longini, I., Macken, C., 2006. Mitigation strategies for pandemic influenza in the United States. Proc. Natl. Acad. Sci. U.S.A. 103, 5935–5940. Groenendaal, H., Nielen, M., Jalvingh, A., Horst, S., Galligan, D., Hesselink, J., 2002. A simulation of Johne’s disease control. Prev. Vet. Med. 54, 225–245. Hadeler, K.P., Mueller, J., 2007. Optimal harvesting and optimal vaccination. Math. Biosci. 206, 249–272. Hall, I.M., Egan, J.R., Barrass, I., Gani, R., Leach, S., 2007. Comparison of smallpox outbreak control strategies using a spatial metapopulation model. Epidemiol. Infect. 135, 1133–1144. Halloran, M.E., Ferguson, N.M., Eubank, S., Longini, I.M., Cummings, D.A.T., Lewis, B., Xu, S., Fraser, C., Vullikanti, A., Germann, T.C., Wagener, D., Beckman, R., Kadau, K., Barrett, C., Macken, C.A., Burke, D.S., Cooley, P., 2008. Modeling targeted layered containment of an influenza pandemic in the United States. Proc. Natl. Acad. Sci. U.S.A. 105, 4639–4644. Keeling, M., Bjøstad, O., Grenfell, B., 2004. Metapopulation dynamics of infectious diseases. In: Hanski, Gaggiotti (Eds.), Ecology, Genetics and Evolution of Metapopulations. Elsevier, pp. 415–446. Keeling, M.J., White, P.J., 2011. Targeting vaccination against novel infections: risk, age and spatial structure for pandemic influenza in great britain. J. R. Soc. Interface 8, 661–670. Kermack, W.O., McKendrick, A.G., 1927. Contributions to the mathematical theory of epidemics-i. Proc. R. Soc. Lond. 115A, 700–721. Klepac, P., Laxminarayan, R., Grenfell, B.T., 2011. Synthesizing epidemiological and economic optima for control of immunizing infections. Proc. Natl. Acad. Sci. U.S.A. 108, 14366–14370. Knipl, D.H., Roest, G., 2011. Modelling the strategies for age specific vaccination scheduling during influenza pandemic outbreaks. Math. Biosci. Eng. 8, 123–139. Lee, S., Morales, R., Castillo-Chavez, C., 2011. A note on the use of influenza vaccination strategies when supply is limited. Math. Biosci. Eng. 8, 171–182. Longini, I., Ackerman, E., Elveback, L., 1978. Optimization model for influenza-a epidemics. Math. Biosci. 38, 141–157. Ludwig, D., 1975. Final size distributions for epidemics. Math. Biosci. 23, 33–46. Ma, J., Earn, D., 2006. Generality of the final size formula for an epidemic of a newly invading infectious disease. Bull. Math. Biol. 68, 679–702. May, R., Anderson, R., 1984. Spatial heterogeneity and the design of immunization programs. Math. Biosci. 72, 83–111. McLean, A., Anderson, R., 1988. Measles in developing-countries. 2. The predicted impact of mass vaccination. Epidemiol. Infect. 100, 419–442. Medlock, J., Galvani, A.P., 2009. Optimizing influenza vaccine distribution. Science 325, 1705–1708. Perisic, A., Bauch, C.T., 2009. Social contact networks and disease eradicability under voluntary vaccination. PLoS Comput Biol 5. Poland, G.A., 2010. The 2009–2010 influenza pandemic: effects on pandemic and seasonal vaccine uptake and lessons learned for seasonal vaccination campaigns. Vaccine 28, D3–D13. Rowthorn, R.E., Laxminarayan, R., Gilligan, C.A., 2009. Optimal control of epidemics in metapopulations. J. R. Soc. Interface 6, 1135–1144. Salathe, M., Jones, J.H., 2010. Dynamics and control of diseases in networks with community structure. PLoS Comput. Biol. 6. Santarossa, J., Stott, A., Humphry, R., Gunn, G., 2005. Optimal risk management versus willingness to pay for bvdv control options. Prev. Vet. Med. 72, 183–187. Shim, E., 2011. Prioritization of delayed vaccination for pandemic influenza. Math. Biosci. Eng. 8, 94–112. Shim, E., Kochin, B., Galvani, A., 2009. Insights from epidemiological game theory into gender-specific vaccination against rubella. Math. Biosci. Eng. 6, 839–854. Tanner, M.W., Sattenspiel, L., Ntaimo, L., 2008. Finding optimal vaccination strategies under parameter uncertainty using stochastic programming. Math. Biosci. 215, 144–151. Tildesley, M.J., Bessell, P.R., Keeling, M.J., Woolhouse, M.E.J., 2009. The role of preemptive culling in the control of foot-and-mouth disease? Proc. Biol. Sci. 276 (1671), 3239–3248. Tildesley, M.J., Savill, N.J., Shaw, D.J., Deardon, R., Brooks, S.P., Woolhouse, M.E.J., Grenfell, B.T., Keeling, M.J., 2006. Optimal reactive vaccination strategies for a foot-and-mouth outbreak in the UK? Nature 440 (7080), 83–86. Tuite, A.R., Fisman, D.N., Kwong, J.C., Greer, A.L., 2010. Optimal pandemic influenza vaccine allocation strategies for the Canadian population. PLoS ONE 5. White, J., Gillam, S., Begg, N., Farrington, C., 1992. Vaccine coverage—recent trends and future-prospects. Br. Med. J. 304, 682–684. |
| URI: | http://wrap.warwick.ac.uk/id/eprint/48055 |
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