Social contact patterns and control strategies for influenza in the elderly

Mathematical Biosciences

Volumn 240, Issue 2, 2012, Pages 241-249

  Towers, S ^a   Feng, Z ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Age dependent mixing; Disease control; Epidemic model; Influenza model; Parameter estimation

Indexed keywords

AGE GROUPS; CONTACT INTERACTION; CONTACT PATTERN; CONTROL STRATEGIES; DIRECT CONTACT; DISEASE MODELS; EPIDEMIC MODELS; MORTALITY RATE; PUBLIC PERCEPTION; SURVEY DATA;

DISEASES; MIXING; PARAMETER ESTIMATION; VACCINES;

DISEASE CONTROL;

AGE STRUCTURE; DISEASE CONTROL; DISEASE SPREAD; DISEASE TRANSMISSION; ELDERLY CARE; ELDERLY POPULATION; EPIDEMIC; INFLUENZA; MORTALITY; PARAMETERIZATION; VACCINATION;

ARTICLE; COMPUTER SIMULATION; EPIDEMIC; GRANDCHILD; GRANDPARENT; INFECTION CONTROL; INFLUENZA; MATHEMATICAL MODEL; SOCIAL DISTANCING; SOCIAL INTERACTION; VIRUS TRANSMISSION;

AGED; CHILD; COMPUTER SIMULATION; HUMANS; INFLUENZA, HUMAN; MODELS, BIOLOGICAL; ORTHOMYXOVIRIDAE; SOCIAL BEHAVIOR;

EID: 84867853978     PISSN: 00255564     EISSN: 18793134     Source Type: Journal    
DOI: 10.1016/j.mbs.2012.07.007     Document Type: Article

References (44)

1. Dushoff J., Plotkin J.B., Viboud C., Earn D.J., Simonsen L. Mortality due to influenza in the United States American. J. Epidemiol. 2006, 163 2:181.
2. Thompson W.W., et al. Mortality associated with influenza and respiratory scycytial virus in the United States. JAMA 2002, 289(2):179.
3. Thompson W.W., et al. Influenza-Associated Hospitalizations in the United States. JAMA 2004, 292(11):1333.
4. McBean A.M., Hebert P.L. New estimates of influenza-related pneumonia and influenza hospitalizations among the elderly. Int. J. Infect. Dis. 2004, 8(4):227.
5. Centers for Disease Control and Prevention National Health Interview Survey (accessed 26.05.2011). http://www.cdc.gov/NCHS/nhis/nhis_2007_data_release.htm.
6. Simonsen L., et al. Impact of influenza vaccination on seasonal mortality in the US elderly population. Arch. Intern. Med. 2005, 165:265.
7. Govaert T.M., et al. The efficacy of influenza vaccination in elderly individuals. JAMA 1994, 272:1661.
8. Gross P., et al. The efficacy of influenza vaccine in elderly persons: a meta-analysis and review of the literature. Ann. Intern. Med. 1995, 123(7).
9. Brownstein J.S., Kleinman K.P., Mandl K.D. Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance system. Am. J. Epidemiol. 2005, 162:686.
10. Longini I.M., Halloran M.E. Strategy for distribution of influenza vaccine to high-risk groups and children. Am. J. Epidemiol. 2005, 161:303.
11. Weycker D., et al. Population-wide benefits of routine vaccination of children against influenza. Vaccine 2005, 23(10):1284.
12. Longini I.M., Ackerman E., Elveback L.R. An optimization model for influenza A epidemics. Math. Biosci. 1978, 38:141.
13. Medlock J., Galvani A.P. Optimizing influenza vaccine distribution. Science 2009, 325(1705):1705.
14. Schoenbaum S.C. The economic impact of influenza: the individual's perspective. Am. J. Med. 1987, 82(6, Suppl. 1):26.
15. Glasser J., Feng Z., Moylan A., Germundsson R., Del Valle S., Castillo-Chavez C. Mixing in age-structured population models of infectious diseases. Math. Biosci. 2012, 235(1):1.
16. Jacquez J.A., Simon C.P., Koopman J., Sattenspiel L., Perry T. Modeling and analyzing HIV transmission: the effect of contact patterns. Math. Biosci. 1988, 92:119.
17. Hethcote H.W. Modeling heterogeneous mixing in infectious disease dynamics. Models for Infectious Human Diseases: Their Structure and Relation to Data 1996, 215. Cambridge University. V. Isham, G. Medley (Eds.).
18. Mossong J., et al. Social contacts and mixing patterns relevant to the spread of infectious disease. PLoS Med. 2008, 5(3):381.
19. M Anderson R., May R.M. Infectious Diseases of Humans, Dynamics and Control 1991, Oxford University, Oxford.
20. Chowell G., et al. Transmission dynamics of the great influenza pandemic of 1918 in Geneva, Switzerland: assessing the effects of hypothetical interventions. J. Theor. Biol. 2006, 241:193.
21. Hsieh Y.-H. Age groups and spread of influenza: implications for vaccination strategy. BMC Infect. Dis. 2010, 10:106.
22. Aelexander M.E., et al. Emergence of drug resistance: implications for antiviral control of pandemic influenza. Proc. Biol. Sci. 2007, 274(1619):1675.
23. R Development Core Team, R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0., 2008. http://www.R-project.org.
24. Wallinga J., et al. Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. Am. J. Epidemiol. 2006, 164(10):936.
25. Busenberg S., Castillo-Chavez C. A general solution of the problem of mixing of subpopulations and its application to risk- and age-structured epidemic models for the spread of AIDS. I.M.A. J. Math. Appl. Med. Biol. 1991, 8:1.
26. U.S. Census Bureau, Monthly Postcensal Resident Population, 2006. (11.01.2007). http://www.census.gov/popest/national/asrh/2006_nat_res.html.
27. Cowan G. Statistical Data Analysis 1998, Oxford Science Publications.
28. F. James, Minuit Reference Manual, Version 94.1, CERN Program Library Long Writeup D506, 1994.
29. Chowell G., Miller M.A., Viboud C. Seasonal influenza in the United States, France, and Australia; transmission and prospects for control. Epidemiol. Infect. 2008, 136(6):852.
30. F. Carrat, et al., Time lines of infection and disease in human influenza: a review of volunteer challenge studies, Am. J. Epidemiol. 167(7) (2008) 775.
31. Couch R.B., Douglas R.G., Fedson D.S., Kasel J.A. Correlated studies of a recombinant influenza-virus vaccine. III. Protection against experimental influenza in man. J. Infect. Dis. 1971, 124(5):473.
32. Bjornson A.B., Mellencamp M.A., Schiff G.M. Complement is activated in the upper respiratory tract during influenza virus infection. Am. Rev. Respir. Dis. 1991, 143:1062.
33. Sertsou G., et al. Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling. Theor. Biol. Med. Model. 2006, 3:38.
34. King J.C., et al. Laboratory and epidemiological assessment of a recent influenza B outbreak. J. Med. Virol. 1988, 25(3):361.
35. Elder A.G., et al. Incidence and recall of influenza in a cohort of Glasgow healthcare workers during the 1993-4 epidemic: results of serum testing and questionnaire. BMJ 1996, 313(7067):1241.
36. Flahault A., de Lamballerie X., Hanslik T., Salez N. Symptomatic infections less frequent with H1N1 pdm than with seasonal strains. PLoS Curr Influenza 2009, RRN1140.
37. Tandel B.V., et al. Seroepidemiology of pandemic influenza A (H1N1) 2009 virus infections in Pune, India. BMC Infect. Dis. 2010, 10:255.
38. Centers for Disease Control and Prevention, Prevention and Control of Influenza: Recommendations of the Advisory Committee on Immunization Practices (ACIP)., 2008. http://www.cdc.gov/mmwr/preview/mmwrhtml/rr57e717a1.htm.
39. Ikonen N., et al. High frequency of crossreacting antibodies against 2009 pandemic influenza A(H1N1) virus among the elderly in Finland. Euro Surveill. 2010, 15(5):pii: 19478.
40. Reichart T.A., et al. The japanese experience with vaccinating schoolchildren against influenza. N. Engl. J. Med. 2001, 344(12):889.
41. Sugaya N., Takeuchi Y. Mass vaccination of schoolchildren against influenza and its impact on the influenza-associated mortality rate among children in Japan. Clin. Infect. Dis. 2005, 41:939.
42. Cohen S., Doyle W.J., Stoner D.P., Rabin B.S., Gwaitney J.M. Social ties and susceptibility to the common cold. JAMA 1997, 277(24):1940.
43. Cohen S., Doyle W.J., Turner R., Alper C.M., Skoner D.P. Sociability and susceptibility to the common cold. Am. Psychol. Soc. 2003, 14(5):389.
44. Del Valle S.Y., et al. Mixing patterns between age groups in social networks. Soc. Networks 2007, 29:539.