ABSTRACT
We describe several gender structured population models governed by logistic growth with non-linear death rate. We extend these models to include groups of people isolated from sexual activity and individuals exposed to a mild and long-lasting sexually transmitted disease, i.e. without disease-induced mortality and recovery. The transmission of the disease is modeled through formation/separation of heterosexual couples assuming that one infected individual automatically infects his/her partner. We are interested in how the non-reproductive class may change the demographic tendencies in the general population and whether they can curb the growth of the infected group while keeping the healthy one at acceptable levels. A comparison of the equilibrium total population size in the presence and the absence of the isolated class is also provided.
Subject(s)
Logistic Models , Mortality , Sexual Abstinence , Demography , Female , Fertility , Humans , Male , Models, Biological , Population Dynamics , Sex Factors , Sexually Transmitted Diseases/epidemiologyABSTRACT
We describe and analyze a mathematical model for schistosomiasis in which infected snails are distinguished from susceptible through increased mortality and no reproduction. We based the model on the same derivation as Anderson and May (J. Anim. Ecol. 47:219-247, 1978), Feng and Milner (A New Mathematical Model of Schistosomiasis, Mathematical Models in Medical and Health Science, Nashville, TN, 1997. Innov. Appl. Math., Vanderbilt Univ. Press, Nashville, pp. 117-128, 1998), and May and Anderson (J. Anim. Ecol. 47:249-267, 1978), but used logistic growth both in human and snail hosts. We introduce a parameter r, the effective coverage of medical treatment/prevention to control the infection. We determine a reproductive number for the disease directly related to its persistence and extinction. Finally, we obtain a critical value for r that indicates the minimum treatment effort needed in order to clear out the disease from the population.
Subject(s)
Biomphalaria/parasitology , Models, Biological , Schistosoma mansoni/physiology , Schistosomiasis mansoni/prevention & control , Algorithms , Animals , Computer Simulation , Disease Transmission, Infectious/prevention & control , Host-Parasite Interactions , Humans , Population Density , Population Dynamics , Schistosomiasis mansoni/parasitology , Schistosomiasis mansoni/therapyABSTRACT
It has been observed in several settings that schistosomiasis is less prevalent in segments of river with fast current than in those with slow current. Some believe that this can be attributed to flush-away of intermediate host snails. However, free-swimming parasite larvae are very active in searching for suitable hosts, which indicates that the flush-away of larvae may also be very important. In this paper, the authors establish a model with spatial structure that characterizes the density change of parasites following the flush-away of larvae. It is shown that the reproductive number, which is an indicator of prevalence of parasitism, is a decreasing function of the river current velocity. Moreover, numerical simulations suggest that the mean parasite load is low when the velocity of river current flow is sufficiently high.
Subject(s)
Models, Theoretical , Schistosoma/physiology , Schistosomiasis/epidemiology , Schistosomiasis/parasitology , Algorithms , Animals , Host-Parasite Interactions , Humans , Mathematics , Models, Biological , Models, Statistical , Parasites , Population DynamicsABSTRACT
We describe several population models exposed to a mild life long sexually transmitted disease, i.e. without significant increased mortality among infected individuals and providing no immunity/recovery. We then modify these models to include groups isolated from sexual contact and analyze their potential effect on the dynamics of the population. We are interested in how the isolated class may curb the growth of the infected group while keeping the healthy population at acceptable levels.
Subject(s)
Disease Outbreaks/statistics & numerical data , Models, Biological , Reproductive Behavior/statistics & numerical data , Sexually Transmitted Diseases/epidemiology , Computer Simulation , Humans , IncidenceABSTRACT
We carry out a simulation of the female population of the USA using the non-autonomous Lotka-McKendrick model with finite maximum age and recent demographic data. The most important contributions in our study are the identification of the mortality rate (including the maximum age) and the design and analysis of a numerical method that works efficiently with unbounded mortality rates. We also consider the effect in the population projections produced by different ways to choose the vital rates and we present a sensitivity analysis with respect to the mortality. Finally, we exemplify the limitations the data impose on the quality of the projections of this model through a 10-year simulation for the USA from 1990 to 2000 and we project the female population of the USA in 2010 using this model.
Subject(s)
Demography , Models, Biological , Mortality , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Fertility , Humans , Infant , Infant, Newborn , Mathematics , Middle Aged , Models, StatisticalABSTRACT
I describe several models of population dynamics, both unstructured and gender structured, that include groups of individuals who do not reproduce. I analyze the effect that the nonreproductive group may have on the dynamics of the whole population in terms of the vital rates and the proportion of nonreproductive individuals, and we provide specific examples for real populations.
