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Research Potential Impact of Antiviral Use on Hospitalizations during Influenza PandemicRaymond Gani,*
Helen Hughes,* Douglas Fleming,† Thomas Griffin,* Jolyon Medlock,* and
Steve Leach* Appendix: Mathematical Model Used To Calculate OutputsThe model used was based on Kermack and McKendrick (1), which has formed the basis of a number of models for both epidemic and pandemic influenza (2–4) and is implemented by using the set of differential equations given in equation 1. equation 1 where α = 1/L = 0.5, γ = 1/PP = 0.4, λ = 1/IP = 2/3, and β = R0/(PP + IP). LP represents the length of the latent period; PP represents the length of the nonsymptomatic infectious period; and IP represents the length of the infectious symptomatic period. S represents the total proportion susceptible, E the total proportion incubating, Pi the proportion from the total population in each group i within the first 2.5 days of their infectious period, Ii the proportion of total population in each group i within the final 1.5 days of their infectious period, and R the total proportion recovered and immune or dead. ci is the proportion of infections resulting in clinical cases, and Ti is the proportion of group i receiving treatment. The average number of secondary cases per primary case when the population is entirely susceptible is represented by R0, and the proportion of the population in each group i is given by Ni. The proportion treated in each group each week can be given as Ai(t) as where t is time in days. The proportion of the population within each group being hospitalized each week, Hi(t), can be calculated as where ε is the efficacy of antiviral treatment against hospitalization and hi is the hospitalization rate for each group i. Supplementary information on the probability of hospitalization in the absence of vaccination is available from the author (see Comments to the Authors). Appendix References
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This page posted July
26, 2005 |
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Emerging
Infectious Diseases Journal |
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