1945
DOI: 10.1073/pnas.31.1.24
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The Law of Mass Action in Epidemiology

Abstract: In a single-mutant strain, mutations may occur in other genes for resistance; and when two mutant genes are together in one individual (double mutants) their effect is cumulative. Moreover, it happens that the resistance of a double mutant is higher than the sum of resistances of two single mutants. If a third gene for resistance, a fourth, etc., mutate in the same line, the combined effect of all these mutations is a high degree of resistance or complete resistance.

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Cited by 80 publications
(57 citation statements)
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“…Let S(t) be the number of susceptible individuals at time t, I (t) be the number of infective individuals at time t. In 1945, Wilson and Worcester were the first to consider the nonlinear incidence rate βSI q [7,8]. In 1969, Severo considered a more general form βS p I q , where q < 1, but did not investigate behavior of the epidemic model in detail [9].…”
Section: Introductionmentioning
confidence: 99%
“…Let S(t) be the number of susceptible individuals at time t, I (t) be the number of infective individuals at time t. In 1945, Wilson and Worcester were the first to consider the nonlinear incidence rate βSI q [7,8]. In 1969, Severo considered a more general form βS p I q , where q < 1, but did not investigate behavior of the epidemic model in detail [9].…”
Section: Introductionmentioning
confidence: 99%
“…Researchers should therefore be careful in formulating discrete-time models with mass-action (see Diekmann & Heesterbeek 2000). proaches appeared together in a detailed analysis of their differences and similarities was in work by Burke (1942, 1943); they later appeared in the papers by Wilson and Worcester (1945). Unknown to all these authors was the work by En'ko in Russian in the late nineteenth century who published, also in connection to measles, another alternative mathematical model for discrete time (described earlier).…”
Section: A Science Taking Flightmentioning
confidence: 98%
“…Wilson and Worcester [36,37] used λIS q -type incidence and found it to be best data fitting for q = 1. Severo [29] formulated models with incidence rates kI p S q (q < 1).…”
Section: Introductionmentioning
confidence: 99%