TY - JOUR
T1 - Simple Approximations for Epidemics with Exponential and Fixed Infectious Periods
AU - Fowler, A. C.
AU - Déirdre Hollingsworth, T.
N1 - Publisher Copyright:
© 2015, Society for Mathematical Biology.
PY - 2015/9/3
Y1 - 2015/9/3
N2 - Analytical approximations have generated many insights into the dynamics of epidemics, but there is only one well-known approximation which describes the dynamics of the whole epidemic. In addition, most of the well-known approximations for different aspects of the dynamics are for the classic susceptible–infected–recovered model, in which the infectious period is exponentially distributed. Whilst this assumption is useful, it is somewhat unrealistic. Equally reasonable assumptions are that the infectious period is finite and fixed or that there is a distribution of infectious periods centred round a nonzero mean. We investigate the effect of these different assumptions on the dynamics of the epidemic by deriving approximations to the whole epidemic curve. We show how the well-known sech-squared approximation for the infective population in ‘weak’ epidemics (where the basic reproduction rate R0≈1) can be extended to the case of an arbitrary distribution of infectious periods having finite second moment, including as examples fixed and gamma-distributed infectious periods. Further, we show how to approximate the time course of a ‘strong’ epidemic, where R0≫1, demonstrating the importance of estimating the infectious period distribution early in an epidemic.
AB - Analytical approximations have generated many insights into the dynamics of epidemics, but there is only one well-known approximation which describes the dynamics of the whole epidemic. In addition, most of the well-known approximations for different aspects of the dynamics are for the classic susceptible–infected–recovered model, in which the infectious period is exponentially distributed. Whilst this assumption is useful, it is somewhat unrealistic. Equally reasonable assumptions are that the infectious period is finite and fixed or that there is a distribution of infectious periods centred round a nonzero mean. We investigate the effect of these different assumptions on the dynamics of the epidemic by deriving approximations to the whole epidemic curve. We show how the well-known sech-squared approximation for the infective population in ‘weak’ epidemics (where the basic reproduction rate R0≈1) can be extended to the case of an arbitrary distribution of infectious periods having finite second moment, including as examples fixed and gamma-distributed infectious periods. Further, we show how to approximate the time course of a ‘strong’ epidemic, where R0≫1, demonstrating the importance of estimating the infectious period distribution early in an epidemic.
KW - Asymptotic methods
KW - Delay equation
KW - Epidemics
KW - Kermack–McKendrick model
KW - SIR model
KW - Soper model
UR - http://www.scopus.com/inward/record.url?scp=84946499510&partnerID=8YFLogxK
U2 - 10.1007/s11538-015-0095-3
DO - 10.1007/s11538-015-0095-3
M3 - Article
C2 - 26337289
AN - SCOPUS:84946499510
SN - 0092-8240
VL - 77
SP - 1539
EP - 1555
JO - Bulletin of Mathematical Biology
JF - Bulletin of Mathematical Biology
IS - 8
ER -