Economic and social impact of influenza mitigation strategies by demographic class

Epidemics

Volumn 3, Issue 1, 2011, Pages 19-31

  Barrett, Chris ^a   Bisset, Keith ^a   Leidig, Jonathan ^a   Marathe, Achla ^a   Marathe, Madhav ^a  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

Author keywords

Antiviral distribution; Computational epidemiology; Demographics; Intervention strategies

Indexed keywords

ARTICLE; CONTROLLED STUDY; COST OF ILLNESS; DEMOGRAPHY; EPIDEMIC; FLU LIKE SYNDROME; HEALTH CARE PERSONNEL; HUMAN; INDIVIDUAL BASED POPULATION MODEL; INFLUENZA; MAJOR CLINICAL STUDY; PATIENT CARE; PRIORITY JOURNAL; PUBLIC HEALTH SERVICE; SCHOOL; SIMULATION; SOCIAL PSYCHIATRY; SOCIOECONOMICS; UNITED STATES;

ADOLESCENT; AGED; ANTIVIRAL AGENTS; CHILD; CHILD, PRESCHOOL; COMMUNICABLE DISEASE CONTROL; COMPUTER SIMULATION; DISEASE OUTBREAKS; HEALTH BEHAVIOR; HUMANS; INFANT; INFANT, NEWBORN; INFLUENZA, HUMAN; MIDDLE AGED; MODELS, BIOLOGICAL; SCHOOLS; SICK LEAVE; SOCIAL CLASS; YOUNG ADULT;

EID: 78651374666     PISSN: 17554365     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epidem.2010.11.002     Document Type: Article

References (49)

1. Arinaminpathy N., McLean A. Antiviral treatment for the control of pandemic influenza: some logistical constraints. J. R. Soc. Interface 2008, 5(22):545-553.
2. Bailey N. The Mathematical Theory of Infectious Diseases and its Applications 1975, Hafner Press.
3. Barrett C., Smith J.P., Eubank S. Modern Epidemiology Modeling 2005, Scientific American, March.
4. Barrett C, Beckman R, Bisset K, et al. An analysis of layered interventions to support Homeland Defense. NDSSL Technical Report, Sept. 2008.
5. Barrett C, Bisset K, Eubank S, Feng Z, Marathe M. EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks. In: Proc. of ACM/IEEE Conference on Supercomputing 2008:1-12.
6. Barrett C, Chen J, Eubank S, Kumar VSA, Lewis B, Marathe A, Marathe M. Role of vulnerable and critical nodes in controlling epidemicsin social networks. In: Epidemics Conference 2008.
7. Barrett C, Beckman R, Khan M, Kumar V, Marathe M, Stretz P, Dutta T, Lewis B. Generation and Analysis of Large Synthetic Social Contact Networks. 2009 Winter Simulation Conference.
8. Barrett C, Bisset K, Leidig, Marathe A, Marathe M. Estimating the Impact of Public and Private Strategies for Controlling an Epidemic: A Multi-Agent Approach. Innovative Applications in Artificial Intelligence, 2009.
9. Beckman R.J., Baggerly K.A., McKay M.D. Creating synthetic base-line populations. Transportation Research Part A-Policy and Practice 1996, 30(6):415-429.
10. Blaser M. Pandemics and preparations. J Infect Dis 2006, 194:S70-2.
11. Blendon R., Koonin L., Benson J., Cetron M., Pollard W., Mitchell E., Weldon K., Herrmann M. Public response to community mitigation measures for pandemic influenza. Emerg Infect Dis 2008, 14(5).
12. Bowman J, Bradley M, Shiftan M, Lawton K, Ben-Akiva M. Demonstration of an Activity Based Model System in Portland. Proc. 8th World Conference on Transportation Research 1998; 3.
13. Bowman J., Ben-Akiva M. Activity based disaggregate travel demand model system. Transp. Res. A 2001, 35(1):1-28.
14. Bruin W., Fischhoff B., Brilliant L., Caruso D. Expert judgements of pandemic influenza risks. Glob. Public Health 2006, 1(2):178-193.
15. Cauchemez S., Ferguson N., Wachtel C., Tegnell A., Saour G., Duncan B., Nicoll A. Closure of schools during an influenza pandemic. Lancet Infect. Dis. 2009, 9(8):473-481.
16. Davey V., Glass R., Min H., Beyeler W., Glass L. Effective, robust design of community mitigation for pandemic influenza: a systematic examination of proposed US guidance. PLoS ONE 2008, 3(7):e2606.
17. Del Valle S., Hethcote H., Hyman J., Castillo-Chavez C. Effects of behavioral changes in a smallpox attack model. Math. Biosci. 2005, 195(2):228-251.
18. Elveback L., Fox J., Ackerman E., Langworthy A., Boyd M., Gatewood L. An influenza simulation model for immunization studies. Am. J. Epidemiol. 1976, 103(2):152-165.
19. Epstein J, Parker J, Cummings D, Hammond R. Coupled Contagion Dynamics of Fear and Disease: A Behavioral Basis for the 1918 Epidemic Waves: Mathematical and Computational Explorations. Center on Social and Economic Dynamics Working Paper No. 50, Oct. 2007.
20. Epstein J, Eubank S, Lipsitch M, et al. Modeling of Distribution Alternatives of Home Antiviral Drug Stockpiling. NIH MIDAS Meeting, June 17, 2008.
21. Eubank S., Guclu H., Kumar A., Marathe M., Srinivasan A., Toroczkai Z., Wang N. Modeling disease outbreaks in realistic urban social networks. Nature 2004, 429:180-184.
22. Ferguson N., Cummings D.A.T., Cauchemez S., et al. Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 2005, 43:209-214.
23. Ferguson N., Cummings D., Fraser C., Cajka J., Cooley P., Burke D. Strategies for mitigating an influenza pandemic. Nature 2006, 442:448-452.
24. Fineberg H., Wilson M. Epidemic science in real time. Science 2009, 324(5930):987.
25. Fischhoff, B., Bostrom, A., Quadrel, MJ., 1997. Risk perception and communication. In: Oxford Textbook of Public Health, ed. Detels R, Holland W, McEwen J, Omenn GS. Oxford, UK: Oxford Univ. Press, 987-1002.
26. Germann T.C., Kadau K., Longini I.M., Macken C.A. Mitigation strategies for pandemic influenza in the United States. Proc. Natl Acad. Sci. USA 2006, 103(15):5935-5940.
27. Halloran M.E., Longini I.M., Cowart D.M., Nizam A. Community interventions and the epidemic prevention potential. Vaccine 2002, 20(27-28):3254-3262.
28. Halloran M., Ferguson N.M., Eubank S., et al. Modeling targeted layered containment of an influenza pandemic in the United States. Proc. Natl Acad. Sci. USA 2008, 105:4639-4644.
29. Hethcote H. The mathematics of infectious diseases. SIAM Rev Soc Ind Appl Math 2000, 42(4):599-653.
30. Inglesby T., Nuzzo J., O'Toole T., Henderson D. Disease mitigation measures in the control of pandemic influenza. Biosecur. Bioterror. 2006, 4:366-375.
31. Lewis B, Beckman R, Kumar VS, et al. Simulated Pandemic Influenza Outbreaks in Chicago. NIH DHHS Study Final report 2007; Tech Report TR-NDSSL-07-004.
32. Longini I., Halloran M., Nizam A., Yang Y. Containing Pandemic Influenza with Antiviral Agents. Am. J. Epidemiol. 2004, 159(7).
33. Longini I., Nizam A., Xu S., Ungchusak K., Hanshaworakul W., Cummings D., Hollaran E. Containing pandemic influenza at the source. Science 2005, 309(5737):1083-1087.
34. McCaw J., McVernon J. Prophylaxis or treatment? Optimal use of an antiviral stockpile during an influenza pandemic. Mathmetical Biosci. 2007, 209:336-360.
35. Meltzer M., Cox N., Fukuda K. The economic impact of pandemic influenza in the united states: priorities for intervention. Emerg. Infect. Dis. 1999, 5(5):659-671.
36. Meyers L., Newman M., Martin M., Schrag S. Applying network theory to epidemics: control measures for outbreaks of Mycoplasma pneumonia. Emerg. Infect. Dis. 2003, 9(2):204-210.
37. Mniszewski S, Del Valle S, Stroud P, Riese J, Sydoriak S. EpiSimS simulation of a multi-component strategy for pandemic influenza. SpringSim '08: Proceedings of the 2008 Spring simulation multiconference 2008: 556-563.
38. National Research Council, 2003. Critical Infrastructure Protection and the Law: An Overview of Key Issues. NRC of the National Academies. National Academic Press, Washington DC.
39. Newman M. The structure and function of complex networks. SIAM Rev. 2003, 45:167-256.
40. Philipson T., Posner R. Private Choices and Public Health: The AIDS Epidemic in an Economic Perspective 1993, Harvard University Press, Cambridge and London.
41. Philipson T. Economic epidemiology and infectious diseases. Handbook of Health Economics 2000, Amsterdam, North Holland. A. Cuyler, J.P. Newhouse (Eds.).
42. Sander B., Nizam A., Garrison L.P., Postma M.J., Halloran M.E., Longini I.M. Economic evaluation of influenza pandemic mitigation strategies in the United States using a stochastic microsimulation transmission model. Value Health 2008, 12(2):226-233.
43. Speckman P, Vaughn K, Pas W. Generating Household Activity-Travel Patterns (HATPs) for Synthetic Populations. Transportation Research Board 1997 Annual Meeting.
44. Speckman P, Vaughn K, Pas W. A Continuous Spatial Interaction Model: Application to Home-Work Travel in Portland. Transportation Research Board 1997 Annual Meeting.
45. Thompson W., Comanor L., Shay D. Epidemiology of seasonal influenza: use of surveillance data and statistical models to estimate the burden of disease. J. Infect. Dis. 2006, 194:S82-S91.
46. TRBC. 1995-2003. 5th-9th Biennial National Academies Transportation Research Board Conferences on Application Of Transportation Planning Methods.
47. TRB. 1998-2006. Transportation Research Board annual meetings.
48. Whitley R., Barlett J., Hayden F., Pavia A., Michael T., Monto A. Seasonal and pandemic influenza: recommendations for preparedness in the United States. J. Infect. Dis. 2006, 195:S155-S161.
49. World Health Organization Writing Group Nonpharmaceutical interventions for pandemic influenza, national and community measures. Emerg. Infect. Dis. 2006, 12:88-94.