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Next: Herd Immunity Up: Some Simple Models: SIS Previous: The Equations

The Basic Reproduction Number, tex2html_wrap_inline260

Suppose we introduce a small number of infecteds into a large population of susceptibles. Then tex2html_wrap_inline262 . Looking at (5a), if

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the coefficient of Y in (5a) is greater than one; consequently tex2html_wrap_inline268 is positive and the number of infecteds must increase. Alternatively, if the quantity in (7) is less than one, the coefficient of Y in (5a) is negative and the number of infecteds must decrease. Thus

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is a threshold for growth or decay of the epidemic. We call

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the basic reproduction number for the epidemic. Consider what it means. One can show that tex2html_wrap_inline276 is the mean duration of infectivity of infecteds. Since c is the mean contact rate, cD is the total number of contacts made by an infective person and if all contacts are with susceptibles, tex2html_wrap_inline282 must be the number of susceptibles infected per infective at the start of the process. Obviously, if that number is greater than one, the number of infectives must grow and if it is less than one, the number of infectives must decrease.

Thus a fundamental concept of epidemiology is brought out by these simple models. But the basic idea holds for much more complicated processes. If on the average, an infective gives rise to more than one new infective, the epidemic grows. If on the average, an infective gives rise to less than one new infective, the epidemic decreases.

Finally, the definition of tex2html_wrap_inline260 provides insight into defining public health measures to control a disease. Clearly we want to decrease tex2html_wrap_inline286 and that can be done by decreasing tex2html_wrap_inline244 , c and/or D. For example, decreasing contact rates during the period of infectiousness clearly would decrease tex2html_wrap_inline260 , and that could be done by isolation of patients during the highly infectious period.


next up previous
Next: Herd Immunity Up: Some Simple Models: SIS Previous: The Equations

Andrew E Long
Wed Oct 27 23:58:42 EDT 1999