2008
DOI: 10.15388/na.2008.13.3.14561
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Analysis of a Vaccination Model for Carrier Dependent Infectious Diseases with Environmental Effects

Abstract: We have proposed and analyzed a nonlinear mathematical model for the spread of carrier dependent infectious diseases in a population with variable size structure including the role of vaccination. It is assumed that the susceptibles become infected by direct contact with infectives and/or by the carrier population present in the environment. The density of carrier population is assumed to be governed by a generalized logistic model and is dependent on environmental and human factors which are conducive to the … Show more

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Cited by 30 publications
(21 citation statements)
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“…In [21] and [23] time-varying epidemic models are considered which take into account the loss of immunity of newborns, the mortality due to the disease and the possible presence of external infected populations. In [25], carrier-dependent infectious diseases (like cholera, measles etc.) are considered.…”
Section: Introduction Brief Description Of Some Previous Background mentioning
confidence: 99%
“…In [21] and [23] time-varying epidemic models are considered which take into account the loss of immunity of newborns, the mortality due to the disease and the possible presence of external infected populations. In [25], carrier-dependent infectious diseases (like cholera, measles etc.) are considered.…”
Section: Introduction Brief Description Of Some Previous Background mentioning
confidence: 99%
“…This has been totally successful for some diseases such as Smallpox, polio, measles, etc... [3]. Mathematical models that incorporate vaccination as a control measure have been used to drive some strategies, and to determine changes in qualitative behavior that could result from such a control measure [3,22,26,27]. A vaccine may fail to confer any protection in a proportion of vaccinees.…”
mentioning
confidence: 99%
“…In this case, the vaccine is not totally effective and vaccinated individuals can be directly infected [7]. When these aspect are included in the model, a rich dynamical behavior may arise including bi-stability, backward and forward bifurcation [3,13,22].…”
mentioning
confidence: 99%
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“…During the disease transmission process, the spread of an infectious disease depends mainly on the interactions between susceptible and infected individuals. However, there are many other factors, such as media coverage, vaccinations, and migration of population, which also influence the spread of an infectious disease [31][32][33]. In particular, media coverage has a great impact on individual behavior towards the disease, and further affects the government health care interventions to control the spread of such disease.…”
mentioning
confidence: 99%