Results 11 to 20 of about 212,245 (265)
A Note on Observation Processes in Epidemic Models [PDF]
Bulletin of Mathematical Biology, 2020 Many disease models focus on characterizing the underlying transmission mechanism but make simple, possibly naive assumptions about how infections are reported. In this note, we use a simple deterministic Susceptible-Infected-Removed (SIR) model to compare two common assumptions about disease incidence reports: individuals can report their infection as
Park, Sang Woo, Bolker, Benjamin M.
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Epidemic processes with immunization [PDF]
Physical Review E, 2003 We study a model of directed percolation (DP) with immunization, i.e. with different probabilities for the first infection and subsequent infections. The immunization effect leads to an additional non-Markovian term in the corresponding field theoretical action. We consider immunization as a small perturbation around the DP fixed point in d<6, where
Jimenez-Dalmaroni, Andrea +1 more
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Spreading processes in post-epidemic environments [PDF]
Physica A: Statistical Mechanics and its Applications, 2021 We analyze infection spreading processes in a system where only a fraction $p$ of individuals can be affected by disease, while remaining $1-p$ individuals are immune. Such a picture can emerge as a natural consequence of previously terminated epidemic process or arise in formerly vaccinated population.
V. Blavatska, Yu. Holovatch
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A holistic view on the COVID-19 epidemic process: smoking cessation behaviour, epidemic process and precautions. [PDF]
Health Syst (Basingstoke)The aim of this study is to investigate the smoking cessation tendencies of people with different levels of smoking addiction during the COVID-19 epidemic process and to investigate the variables that most affect the risk perception of being Covid-19. Data were collected between November 8 and December 20 2021. A total of 898 participants living in the
Albayrak M, Albayrak A.
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A Limit Theorem for a Weiss Epidemic Process [PDF]
Journal of Applied Probability, 2015 For a Markov two-dimensional death-process of a special class we consider the use of Fourier methods to obtain an exact solution of the Kolmogorov equations for the exponential (double) generating function of the transition probabilities. Using special functions, we obtain an integral representation for the generating function of the transition ...
Kalinkin, A. V., Mastikhin, A. V.
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Mathematical Biosciences, 2018 Mathematical epidemiology is a well-recognized discipline to model infectious diseases. It also provides guidance for public health officials to limit outbreaks. Nevertheless, epidemics take societies by surprise every now and then, for example, when the Ebola virus epidemic raged seemingly unrestrained in Western Africa.
Mikko Koivu-Jolma, Arto Annila
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Epidemiology of hepatitis B virus infection in the Republic of Moldova
Journal of Infection in Developing Countries, 2008 Background: The Republic of Moldova is considered a high endemic country with hepatitis B virus infection having a prevalence of AgHBs of 8 % and higher.
Petru Iarovoi +3 more
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Assessment of herd immunity to hepatitis A virus among the population of the Republic of Tatarstan
Журнал микробиологии, эпидемиологии и иммунобиологии, 2023 Introduction. Identification of the groups of the population most susceptible to infection with hepatitis A virus (HAV) is a key component for the regulation of anti-epidemic measures during the activation of the epidemic process.
Marina A. Patyashina +1 more
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The influence of a transport process on the epidemic threshold
Journal of Mathematical Biology, 2022 AbstractBy generating transient encounters between individuals beyond their immediate social environment, transport can have a profound impact on the spreading of an epidemic. In this work, we consider epidemic dynamics in the presence of the transport process that gives rise to a multiplex network model.
Christian Kuehn, Jan Mölter
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Analysis and Distributed Control of Periodic Epidemic Processes [PDF]
IEEE Transactions on Control of Network Systems, 2021 This paper studies epidemic processes over discrete-time periodic time-varying networks. We focus on the susceptible-infected-susceptible (SIS) model that accounts for a (possibly) mutating virus. We say that an agent is in the disease-free state if it is not infected by the virus.
Sebin Gracy +3 more
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