Results 61 to 70 of about 70,485 (205)

Markovian SIR model for opinion propagation [PDF]

, 2013
In this work, we propose a new model for the dynamics of single opinion propagation at a size-limited location with a low population turnover. This means that a maximum number of individuals can be supported by the location and that the allowed ...
De Cuypere, Eline, De Turck, Koen, Fiems, Dieter, Wittevrongel, Sabine   +3 more
core   +1 more source

Simulations and Predictions of COVID-19 Pandemic With the Use of SIR Model

Innovative Biosystems and Bioengineering, 2020
Background. The COVID-19 pandemic is of great interest to researchers due to high mortality and a very negative impact to the world economy. A detailed scientific analysis of the phenomenon is yet to come, but the public is already interested in the ...
Igor Nesteruk
doaj   +1 more source

Numerical Investigation of a Diffusive SIR Model: Focus on Positivity Preservation

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we consider a system of semilinear partial differential equations (PDEs) representing a spatially extended SIR epidemic model. A brief analytical investigation of the well‐posedness and positivity of the solutions is provided in the appendix, while the main focus is on the numerical treatment of the model.
Rahele Mosleh, Claudia Panico, Messoud Efendiyev   +2 more
wiley   +1 more source

Epidemic trend analysis of SARS‐CoV‐2 in South Asian Association for Regional Cooperation countries using modified susceptible‐infected‐recovered predictive model

Engineering Reports, 2023
A novel coronavirus causing the severe and fatal respiratory syndrome was identified in China, is now producing outbreaks in more than 200 countries around the world, and became pandemic by the time.
Samrat Kumar Dey, Md. Mahbubur Rahman, Kabid Hassan Shibly, Umme Raihan Siddiqi, Arpita Howlader   +4 more
doaj   +1 more source

Heterogeneity in SIR epidemics modeling: superspreaders [PDF]

, 2020
Deterministic epidemic models, such as the Susceptible-Infected-Recovered (SIR) model, are immensely useful even if they lack the nuance and complexity of social contacts at the heart of network science modeling. Here we present a simple modification of the SIR equations to include the heterogeneity of social connection networks.
openaire   +1 more source

Germ Panic and Chalice Hygiene in the Church of England, c.1895–1930

Journal of Religious History, EarlyView.
The late‐Victorian medical revolution in bacteriology, and growing public awareness of hygienic standards and the danger of disease infection from germs, created alarm about the traditional Christian practice of drinking from a common cup at Holy Communion.
Andrew Atherstone
wiley   +1 more source

Analyses of the SIR Epidemic Model Including Treatment and Immigration

Journal of Mathematical Sciences and Modelling
This paper aims to examine the dynamics of a variation of a nonlinear SIR epidemic model. We analyze the complex dynamic nature of the discrete-time SIR epidemic model by discretizing a continuous SIR epidemic model subject to treatment and immigration ...
Özlem Ak Gümüş, Janagaraj Rajendran, Narin Kılınç, George Maria Selvam   +3 more
doaj   +1 more source

Insights from the Presidential Addresses to the Agricultural Economics Society

Journal of Agricultural Economics, EarlyView.
ABSTRACT The Society's published presidential addresses have embraced a wide range of subject matter, reflecting a ‘road well travelled’ in agricultural economics. The areas covered include the development and use of data and statistics, lessons from history, sectoral analysis, land economics, international trade and international development.
David Blandford
wiley   +1 more source

Fundamental bound on epidemic overshoot in the SIR model

Journal of The Royal Society Interface, 2023
We derive an exact upper bound on the epidemic overshoot for the Kermack–McKendrick SIR model. This maximal overshoot value of 0.2984 · · · occurs at R 0 ∗
Maximilian M. Nguyen, Ari S. Freedman, Sinan A. Ozbay, Simon A. Levin   +3 more
openaire   +3 more sources

e3SIM: Epidemiological‐ecological‐evolutionary simulation framework for genomic epidemiology

Methods in Ecology and Evolution, EarlyView.
Abstract Infectious disease dynamics result from the complex interplay of epidemiological, ecological and evolutionary (epi‐eco‐evo) processes. Accurately modelling these coupled processes is crucial for understanding pathogen spread and informing public health strategies.
Peiyu Xu, Shenni Liang, Andrew Hahn, Vivian Zhao, Wai Tung ‘Jack’ Lo, Benjamin C. Haller, Benjamin Sobkowiak, Melanie H. Chitwood, Caroline Colijn, Ted Cohen, Kyu Y. Rhee, Philipp W. Messer, Martin T. Wells, Andrew G. Clark, Jaehee Kim   +14 more
wiley   +1 more source