1925
DOI: 10.2307/2965517
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On the True Rate of Natural Increase

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Cited by 130 publications
(73 citation statements)
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“…The following parameters were estimated based on values of age (X), age-specific survival rate (lx) and age-specific fecundity rate (mx): net reproductive rate: Ro = ∑lx.mx; mean generation time: T = ∑ (lx.mx.X) / ∑ (lx.mx); intrinsic rate of natural increase (r), calculated from Lotka equation (Dublin and Lotka, 1925): ∑lx.mx.e -r(x+0.5) =1. The initial value for r was obtained through an iteration process starting from an analytical approximation for r given as r = Ln(Ro) / T (Rabinovich, 1980;Carey, 1993); finite rate of increase: λ = e r ; doubling time: DT = Ln 2 / r.…”
Section: Methodsmentioning
confidence: 99%
“…The following parameters were estimated based on values of age (X), age-specific survival rate (lx) and age-specific fecundity rate (mx): net reproductive rate: Ro = ∑lx.mx; mean generation time: T = ∑ (lx.mx.X) / ∑ (lx.mx); intrinsic rate of natural increase (r), calculated from Lotka equation (Dublin and Lotka, 1925): ∑lx.mx.e -r(x+0.5) =1. The initial value for r was obtained through an iteration process starting from an analytical approximation for r given as r = Ln(Ro) / T (Rabinovich, 1980;Carey, 1993); finite rate of increase: λ = e r ; doubling time: DT = Ln 2 / r.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, as we see in the Appendix, we can formulate the renewal equation for the target population to calculate other demographic indices, including the generation time, the intrinsic growth rate and the momentum of population growth, which are also useful to study the impact of heterogeneous individual behaviour on population dynamics as a whole. Historically speaking, as Heesterbeek (2002) pointed out, the concept of the net reproduction rate R 0 was already established at least in 1925 by Dublin and Lotka (Dublin and Lotka 1925;Lotka 1998) in demography, 19 while it has taken more than 50 years for the concept to mature in epidemiology. Moreover it was not until recently that stable population theory became a popular tool in mathematical epidemiology (Wallinga and Lipsitch 2007) and I believe that there are still many ideas and concepts in demography that should be learned by epidemiologists.…”
Section: Discussionmentioning
confidence: 99%
“…According to the classical stable population theory (Dublin and Lotka 1925;Lotka 1998;Keyfitz and Caswell 2005), λ 0 is a unique real root of the Lotka's characteristic equation:…”
mentioning
confidence: 99%
“…It implies that if one applies a constant set of fertility, mortality, and migration rates to two arbitrarily chosen age distribution, no matter how different, the two age distributions will ultimately converge to the same age distribution. Alfred J. Lotka is generally credited with formulating the idea of a stable population and exploring many of its important features, including the finding that in the absence of migration, a population subject to constant fertility and mortality rates would eventually have a constant rate of natural increase [4,5]. Continuing the analytical tradition established by Lotka, many researchers have examined the idea of a stable population and refined its underlying theory and extended its applications [2,3,[6][7][8][9][10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%