Modelling the strategies for age specific vaccination scheduling during influenza pandemic outbreaks

Diána H. Knipl; Gergely Röst

doi:10.3934/mbe.2011.8.123

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2011, 8(1): 123-139. doi: 10.3934/mbe.2011.8.123

Modelling the strategies for age specific vaccination scheduling during influenza pandemic outbreaks

Diána H. Knipl ^1, and Gergely Röst ^2,

1.	Bolyai Institute, University of Szeged, H-6720 Szeged, Aradi vértanúk tere 1, Hungary
2.	Analysis and Stochastics Research Group, Hungarian Academy of Sciences, Bolyai Institute, University of Szeged, H-6720 Szeged, Aradi vértanúk tere 1.

Received March 2010 Revised September 2010 Published January 2011

Abstract
Related Papers

Finding optimal policies to reduce the morbidity and mortality of the ongoing pandemic is a top public health priority. Using a compartmental model with age structure and vaccination status, we examined the effect of age specific scheduling of vaccination during a pandemic influenza outbreak, when there is a race between the vaccination campaign and the dynamics of the pandemic. Our results agree with some recent studies on that age specificity is paramount to vaccination planning. However, little is known about the effectiveness of such control measures when they are applied during the outbreak. Comparing five possible strategies, we found that age specific scheduling can have a huge impact on the outcome of the epidemic. For the best scheme, the attack rates were up to 10% lower than for other strategies. We demonstrate the importance of early start of the vaccination campaign, since ten days delay may increase the attack rate by up to 6%. Taking into account the delay between developing immunity and vaccination is a key factor in evaluating the impact of vaccination campaigns. We provide a general framework which will be useful for the next pandemic waves as well.

Keywords: compartmental model, Pandemic influenza, A(H1N1)v., vaccination strategies.

Mathematics Subject Classification: Primary: 92D3.

Citation: Diána H. Knipl, Gergely Röst. Modelling the strategies for age specific vaccination scheduling during influenza pandemic outbreaks. Mathematical Biosciences & Engineering, 2011, 8 (1) : 123-139. doi: 10.3934/mbe.2011.8.123

References:

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[28]	J. Medlock, L. A. Meyers and A. P. Galvani, "Optimizing Allocation for a Delayed Influenza Vaccine Campaign," PLOS Curr Influenza, RRN1134, 2010. Google Scholar
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[32]	S. M. Moghadas, C. S. Bowman, G. Röst, D. Fisman and J. Wu, Post-exposure prophylaxis during pandemic outbreaks, BMC Medicine, 3 (2009). Google Scholar
[33]	S. Moghadas, T. Day, C. Bauch, S. M. Driedger, F. Brauer, A. L. Greer, P. Yan, J. Wu, N. Pizzi and D. N. Fisman, Modelling an influenza pandemic: A guide for the perplexed, Can. Med. Assoc. J., August 4, 2009, 181 (2009), 171-173. Google Scholar
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show all references

References:

[1]	M. E. Alexander, C. S. Bowman, Z. Feng, M. Gardam, S. M. Moghadas, G. Röst, J. Wu and P. Yan, Emergence of drug-resistance: Implications for antiviral control of pandemic influenza, P. Roy. Soc. B - Biol. Sci., 274 (2007), 1675-1684. Google Scholar
[2]	M. E. Alexander, S. M. Moghadas, G. Röst and J. Wu, A delay differential model for pandemic influenza with antiviral treatment, Bulletin of Mathematical Biology, 70 (2008), 382-397. doi: 10.1007/s11538-007-9257-2. Google Scholar
[3]	J. Arino, F. Brauer, P. van den Driessche, J. Watmough and J. Wu, Simple models for containment of a pandemic, J. R. Soc. Interface, 3 (2006), 453-457. doi: 10.1098/rsif.2006.0112. Google Scholar
[4]	P. Baccam, C. Beauchemin, C. A. Macken, F. G. Hayden and A. S. Perelson, Kinetics of influenza A virus infection in humans, J. Virol., 80 (2006), 7590-7599. doi: 10.1128/JVI.01623-05. Google Scholar
[5]	D. Balcan et al., Seasonal transmission potential and activity peaks of the new influenza A(H1N1): A Monte Carlo likelihood analysis based on human mobility, BMC Medicine, 7 (2009). doi: 10.1186/1741-7015-7-45. Google Scholar
[6]	N. E. Basta, E. M. Halloran, L. Matrajt and I. M. Longini Jr., Estimating influenza vaccine efficacy from challenge and community-based study data, Am. J. Epidemiol., 168 (2008), 1343-1352. doi: 10.1093/aje/kwn259. Google Scholar
[7]	G. Chowell, C. E. Ammon, N. W. Hengartner and J. M. Hyman, Transmission dynamics of the great influenza pandemic of 1918 in Geneva, Switzerland: Assessing the effects of hypothetical interventions, J. Theor. Biol., 241 (2006), 193-204. doi: 10.1016/j.jtbi.2005.11.026. Google Scholar
[8]	G. Chowell, M. A. Miller and C. Viboud, Seasonal influenza in the United States, France and Australia: Transmission and prospects for control, Epidemiol. Infect., 136 (2007), 852-864. Google Scholar
[9]	G. Chowell, C. Viboud, X. Wang, S. Bertozzi and M. Miller, Adaptive vaccination strategies to mitigate pandemic influenza - Mexico as a case study, PLoS ONE, 4 (2009), e8164. doi: 10.1371/journal.pone.0008164. Google Scholar
[10]	CDC, Prevention and control of influenza: Recommendations of the advisory committee on immunization practices (ACIP), July 17, 2008 / 57 (Early Release), (2008), 1-60 Google Scholar
[11]	CDC, "Key Facts About Seasonal Flu Vaccine," http://www.cdc.gov/Flu/protect/keyfacts.htm, 2009. Google Scholar
[12]	O. Diekmann, J. A. P. Heesterbeek and M. G. Roberts, The construction of next-generation matrices for compartmental epidemic models, J. R. Soc. Interface, 7 (2010), 873-885 doi: 10.1098/rsif.2009.0386. Google Scholar
[13]	L. J. Donaldson, P. D. Rutter, B. M. Ellis, F. E. C. Greaves, O. T. Mytton, R. G. Pebody and I. E. Yardley, Mortality from pandemic A/H1N1 2009 influenza in England: Public health surveillance study, British Medical Journal, 339 (2009), b5213. Google Scholar
[14]	European CDC Risk Assessment, "Pandemic H1N1," Version 6, 6 November 2009. Google Scholar
[15]	Eurostat, "Population Statistics 2006 Edition," Official Publications of the European Communities (Luxembourg), 2006. Google Scholar
[16]	F. Falus and B. Oroszi, "National Chief Medical Officer's Office," Hungary, personal communication, 2009. Google Scholar
[17]	N. M. Ferguson, D. A. Cummings, C. Fraser, J. C. Cajka and P. C. Cooley, Strategies for mitigating an influenza pandemic, Nature, 442 (2006), 448-452. doi: 10.1038/nature04795. Google Scholar
[18]	D. M. Fleming and A. J. Elliot, Estimating the risk population in relation to influenza vaccination policy, Vaccine, 24 (2006), 4378-4385. doi: 10.1016/j.vaccine.2006.02.053. Google Scholar
[19]	M. Z. Gojovic, B. Sander, D. Fisman, M. D. Krahn and C. T. Bauch, Modelling mitigation strategies for pandemic (H1N1) 2009, Can. Med. Assoc. J., 181 (2009), 673 10.1503/cmaj.091641. doi: 10.1503/cmaj.091641. Google Scholar
[20]	E. Goldstein, A. Apolloni, B. Lewis, J. C. Miller, M. Macauley, S. Eubank, M. Lipsitch and J. Wallinga, Distribution of vaccine/antivirals and the least spread line in a stratified population, J. R. Soc. Interface, 7 (2009), 755-764. doi: 10.1098/rsif.2009.0393. Google Scholar
[21]	M. E. Greenberg, M. H. Lai, G. F. Hartel, C. H. Wichems, C. Gittleson, J. Bennet, G. Dawson, W. Hu, C. Leggio, D. Washington and R. L. Basser, Response to a monovalent influenza a (H1N1) 2009 vaccine, N. Eng. J. Med., 361 (2009), 2405-2413. doi: 10.1056/NEJMoa0907413. Google Scholar
[22]	K. Hancock, V. Veguilla, X. Lu, et al., Cross-reactive antibody responses to the 2009 pandemic H1N1 influenza virus, N. Engl. J. Med., 361 (2009), 1945-1952. doi: 10.1056/NEJMoa0906453. Google Scholar
[23]	J. M. Heffernan, R. J. Smith and L. M. Wahl, Perspectives on the basic reproductive ratio, J. R. Soc. Interface, 2 (2005), 281-293. doi: 10.1098/rsif.2005.0042. Google Scholar
[24]	K. Johansen, A. Nicoll, B. C. Ciancio and P. Kramarz, Pandemic influenza A(A(H1N1)v) 2009 vaccines in the European Union, Euro Surveill, 14 (2009), pii=19361. Google Scholar
[25]	I. M. Longini Jr and M. E. Halloran, Strategy for distribution of influenza vaccine to high-risk groups and children, Am. J. Epidemiol., 161 (2005), 303. doi: 10.1093/aje/kwi053. Google Scholar
[26]	L. Matrajt and I. M. Longini, "Optimizing Vaccine Allocation at Different Points in Time During an Epidemic," UW Biostatistics Working Paper Series 363, 2010. Google Scholar
[27]	J. Medlock and A. P. Galvani, Optimizing influenza vaccine distribution, Science, 325 (2009), 1705-1708. doi: 10.1126/science.1175570. Google Scholar
[28]	J. Medlock, L. A. Meyers and A. P. Galvani, "Optimizing Allocation for a Delayed Influenza Vaccine Campaign," PLOS Curr Influenza, RRN1134, 2010. Google Scholar
[29]	S. Merler, M. Ajelli and C. Rizzo, Age-prioritized use of antivirals during an influenza pandemic, BMC Infectious Diseases, 9 (2009), 117. doi: 10.1186/1471-2334-9-117. Google Scholar
[30]	E. Miller, K. Hoschler, P. Hardelid, E. Stanford, N. Andrews and M. Zambon, Incidence of 2009 pandemic influenza A H1N1 infection in England: a cross-sectional serological study, The Lancet, 375 (2010), 1100-1108. doi: 10.1016/S0140-6736(09)62126-7. Google Scholar
[31]	S. M. Moghadas, C. S. Bowman, G. Röst and J. Wu, Population-wide emergence of antiviral resistance during pandemic influenza, PLOS ONE, 3 (2008), e1839. Google Scholar
[32]	S. M. Moghadas, C. S. Bowman, G. Röst, D. Fisman and J. Wu, Post-exposure prophylaxis during pandemic outbreaks, BMC Medicine, 3 (2009). Google Scholar
[33]	S. Moghadas, T. Day, C. Bauch, S. M. Driedger, F. Brauer, A. L. Greer, P. Yan, J. Wu, N. Pizzi and D. N. Fisman, Modelling an influenza pandemic: A guide for the perplexed, Can. Med. Assoc. J., August 4, 2009, 181 (2009), 171-173. Google Scholar
[34]	J. Mossong, N. Hens, M. Nit et al., Social contacts and mixing patterns relevant to the spread of infectious diseases, PLOS Medicine, 5 (2008), e74. doi: 10.1371/journal.pmed.0050074. Google Scholar
[35]	S. D. Mylius, T. J. Hagenaars, A. K. Lugnér and J. Wallinga, Optimal allocation of pandemic influenza vaccine depends on age, risk and timing, Vaccine, 26 (2008), 3742-3749. doi: 10.1016/j.vaccine.2008.04.043. Google Scholar
[36]	K. L. Nichol, Efficacy/clinical effectiveness of inactivated influenza virus vaccines in adults 1998, In: Nicholson KG, Webster RG, Hay AJ, editors. Textbook of influenza. Malden, MA: Blackwell Science Ltd., (1998), 358-372. Google Scholar
[37]	H. Nishiura and K. Iwata, A simple mathematical approach to deciding the dosage of vaccine against pandemic H1N1 influenza, Euro. Surveill, 14 (2009), pii=19396. Google Scholar
[38]	A. M. Presanis, D. De Angelis, A. Hagy, C. Reed, S. Riley, et al., The severity of pandemic H1N1 influenza in the United States, from April to July 2009: A Bayesian analysis, PLoS Med., 6 (2009), e1000207. doi: 10.1371/journal.pmed.1000207. Google Scholar
[39]	R. Robinson, "A(H1N1)v Vaccine Products and Production, ACIP July 2009 Meeting,", www.cdc.gov/vaccines/recs/acip/downloads/mtg-slides-jul09-flu/05-Flu-Robinson.pdf., (). Google Scholar
[40]	R. E. Serfling, I. L. Sherman and W. J. Houseworth, Excess pneumonia-influenza mortality by age and sex in three major influenza A2 epidemics, United States, 1957-58, 1960 and 1963, Am. J. Epidemiol., 86 (1967), 433-441. Google Scholar
[41]	V. Sypsa, I. Pavlopoulou and A. Hatzakis, "Use of an Inactivated Vaccine in Mitigating Pandemic Influenza A(H1N1) Spread: A Modelling Study to Assess the Impact of Vaccination Timing and Prioritisation Strategies," Euro Surveill, 2009, pii=19356. Google Scholar
[42]	A. R. Tuite, D. N. Fisman, J. C. Kwong and A. L. Greer, Optimal pandemic influenza vaccine allocation strategies for the Canadian population, PLOS ONE, 5 (2010), e10520. doi: 10.1371/journal.pone.0010520. Google Scholar
[43]	A. R. Tuite, A. L. Greer, M. Whelan, A. L. Winter, B. Lee, P. Yan, J. Wu, S. M. Moghadas, D. Buckeridge, B. Pourbohloul and D. N. Fisman, Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza, Can. Med. Assoc. J., 182 (2009), 131. doi: 10.1503/cmaj.091807. Google Scholar
[44]	L. Vaillant, G. La Ruche, P. Barboza, for the epidemic intelligence team at InVS, Epidemiology of fatal cases associated with pandemic H1N1 influenza 2009, Euro., Surveill, 14 (2009), pii=19309. Google Scholar
[45]	Z. Vajo, J. Wood, L. Kosa, I. Szilvasy, Gy. Paragh, Zs. Pauliny, K. Bartha, I. Visontay, A. Kis and I. Jankovics, A single-dose influenza A (H5N1) vaccine safe and immunogenic in adult and elderly patients - an approach to pandemic vaccine development, J. Virol., 84 (2009), 1237-1242. doi: 10.1128/JVI.01894-09. Google Scholar
[46]	Y. Yang, J. D. Sugimoto, M. E. Halloran, N. E. Basta, D. L. Chao, L. Matrajt, G. Potter, E. Kenah and I. M. Longini Jr., The transmissibility and control of pandemic influenza A (H1N1) virus, Science, 326 (2009), 729-733. doi: 10.1126/science.1177373. Google Scholar

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American Institute of Mathematical Sciences

Modelling the strategies for age specific vaccination scheduling during influenza pandemic outbreaks

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Modelling the strategies for age specific vaccination scheduling during influenza pandemic outbreaks

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