Endemic stability is an epidemiological state of a population, in which clinical disease is scarce despite high level of infection. The notion was developed to describe patterns of tick-borne disease in cattle. However, we propose a general, nodes of endemic stability that is applicable to a broader range of diseases that are important in public health, including malaria, rubella, and mumps. We postulate that endemic stability requires only that (1) the probability, or severity, of clinical disease after infection increases with age, and (2) after one infection, the probability that subsequent infections result in disease is reduced. We present these criteria in simple mathematical terms. Our hypothesis predicts that partial disease control...
AbstractAn epidemic model is proposed to describe the dynamics of disease spread between two patches...
Many individual hosts are infected with multiple parasite species, and this may increase or decrease...
This paper is concerned with a stochastic model, describing outbreaks of infectious diseases that ha...
Endemic stability is an epidemiological state of a population, in which clinical disease is scarce d...
Endemic stability is a widely used term in the epidemiology of ticks and tick-borne diseases. It is ...
A mathematical model of the transmission dynamics of Cowdria ruminantium by the ixodid tick Amblyomm...
Abstract. A model is developed for the spread of an infectious disease in a population with constant...
SIR and SIS epidemic models with information—related changes in contact patterns are introduced. The...
To eradicate or control the spread of infectious diseases, knowledge on the spread of the infection ...
AbstractIn the paper, we propose a model that tracks the dynamics of many diseases spread by vectors...
Endemic stability of disease within populations despite intervention strategies is a common problem....
Once a pathogen is introduced in a population, key factors governing rate of spread include contact ...
Mathematical models are useful tools to understand the epidemiology and agent-host interaction of di...
For many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (v...
Two new ecoepidemic models of predator–prey type are introduced. They feature prey that gather in he...
AbstractAn epidemic model is proposed to describe the dynamics of disease spread between two patches...
Many individual hosts are infected with multiple parasite species, and this may increase or decrease...
This paper is concerned with a stochastic model, describing outbreaks of infectious diseases that ha...
Endemic stability is an epidemiological state of a population, in which clinical disease is scarce d...
Endemic stability is a widely used term in the epidemiology of ticks and tick-borne diseases. It is ...
A mathematical model of the transmission dynamics of Cowdria ruminantium by the ixodid tick Amblyomm...
Abstract. A model is developed for the spread of an infectious disease in a population with constant...
SIR and SIS epidemic models with information—related changes in contact patterns are introduced. The...
To eradicate or control the spread of infectious diseases, knowledge on the spread of the infection ...
AbstractIn the paper, we propose a model that tracks the dynamics of many diseases spread by vectors...
Endemic stability of disease within populations despite intervention strategies is a common problem....
Once a pathogen is introduced in a population, key factors governing rate of spread include contact ...
Mathematical models are useful tools to understand the epidemiology and agent-host interaction of di...
For many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (v...
Two new ecoepidemic models of predator–prey type are introduced. They feature prey that gather in he...
AbstractAn epidemic model is proposed to describe the dynamics of disease spread between two patches...
Many individual hosts are infected with multiple parasite species, and this may increase or decrease...
This paper is concerned with a stochastic model, describing outbreaks of infectious diseases that ha...