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Relevant bibliographies by topics / Modèle Susceptible-Infected-Susceptible (SIS)

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Academic literature on the topic 'Modèle Susceptible-Infected-Susceptible (SIS)'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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Journal articles on the topic "Modèle Susceptible-Infected-Susceptible (SIS)"

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Klement, Rainer J., and Harald Walach. "Mathematical models, Pandemic Complexity and the Over-Estimation of Lives Saved by Covid-19 Vaccinations." Futures 148 (September 14, 2022): 103119. https://doi.org/10.5281/zenodo.7079330.

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In a recent modeling study Watson et al. (Lancet Infect Dis 2022;3099:1–10) claim that Covid-19 vaccinations have helped to prevent roughly 14-20 million deaths in 2021. This conclusion is based on an epidemiological susceptible-exposed-infectious-recovered-susceptible (SEIRS) model trained on partially simulated data and extrapolated to a hypothetical scenario in which no vaccinations would have occurred. We point out several caveats of this model and caution against believing in its implications. In particular, the model was calibrated on uncertain data, leading to a potentially false

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Suryo, Widodo, Agus Sulistyono Bambang, and Katminingsih Yuni. "Numerical Simulation of Infectious Disease Spread Using the SIR Model: an Application of Euler's Method." International Journal of Mathematics and Computer Research 13, no. 02 (2025): 4894–98. https://doi.org/10.5281/zenodo.14929055.

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The spread of infectious diseases is a very complex phenomenon and requires mathematical modeling to understand the dynamics of the spread. One of the common approaches used to model the spread of diseases is the SIR (Susceptible-Infected-Recovered) model. This study aims to implement numerical methods, especially the Euler method, to simulate the spread of infectious diseases using the SIR model. This study focuses on the application of Euler's Method to solve differential equations that describe the changes in infected, susceptible, and recovered populations in a finite system. The Euler met

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Marline, Ilha da Silva, Chaves Marques Joice, Otazu Conza Adelaida, De Cezaro Adriano, and Carla Ferreira Nicola Gomes Ana. "The Stiffness Phenomena for the Epidemiological SIR Model: a Numerical Approach." Latin-American Journal of Computing 10, no. 2 (2023): 32–45. https://doi.org/10.5281/zenodo.8067335.

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Mathematical models are among the most successful strategies for predicting the dynamics of a disease spreading in a population. Among them, the so-called compartmental models, where the total population is proportionally divided into compartments, are widely used. The SIR model (Susceptible-Infected-Recovered) is one of them, where the dynamics between the compartments follows a system of nonlinear differential equations. As a result of the non-linearity of the dynamics, it has no analytical solution. Therefore, some numerical methods must be used to obtain an approximate solution. In this co

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Moisés, Filiberto Mora Murillo, Alfredo Mora Murillo Walter, and Pandey Digvijay. "Efficient Prediction and Analysis of the possible evolution of the SARS-CoV-2 in COVID-19 applying the SEIR model in Santo Domingo de los Tsáchilas, Ecuador." Enfoque UTE 11, no. 4 (2020): 101–15. https://doi.org/10.29019/enfoqueute.v11n4.678.

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In Ecuador, in the Santo Domingo de los Tsáchilas province, a Special Operations Committee (SOC) was created to take containment measures against severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). This research deals with an analysis of the possible spread of the SARS-COV-2 virus causing the infectious disease caused by new coronavirus (2019-nCoV) using the Susceptible, Exposed, Infected and Recovered (SEIR) model as a prediction method according to the rigor of the containment measures evaluated. with the acceptability of people through a survey (95 %, CI) in which three par

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Senel, Ilhan Kerem, Mesut Ozdinc, and Selcen Ozturkcan. "SPE approach for robust estimation of SIR model with limited and noisy data: The case for COVID-19." Disaster Medicine and Public Health Preparedness 15, no. 3 (2021): e8-e22. https://doi.org/10.1017/dmp.2020.220.

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<strong>Objective:</strong>The susceptible-infected-removed (SIR) model and its variants are widely used to predict the progress of coronavirus disease 2019 (COVID-19) worldwide despite their rather simplistic nature. Nevertheless, robust estimation of the SIR model presents a significant challenge, particularly with limited and possibly noisy data in the initial phase of the pandemic.<strong>Methods:</strong>The K-means algorithm is used to perform a cluster analysis of the top 10 countries with the highest number of COVID-19 cases to observe if there are any significant differences among cou

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ElMoussaoui, Ali, Mohamad Hamieh, Hassan Ayoub, Hicham Aboudaya, and Zeinab Hamie. "Impact of Social Behavior on the Dynamic Spread Sars-Cov-2 in Lebanon According to the SIR Model." Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences 9, no. 24 (2022): 1–18. https://doi.org/10.5281/zenodo.7364583.

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Analyzing the dynamics of Sars-Cov-2 spread in the Lebanese society is what this article mainly aspires and points to, where the study was predicated on a compartmental model, namely SIR, the widely known model in epidemiology. SIR. (Susceptible-Infected-Recovered) materializes a basic conceptional structure for theoretically investigating the virus spread and its dynamics within a community, through focusing on the interaction and communication between infected and recovered people. Consequently, providing the necessary attempts to overcome the epidemic, and diminishes its expansion to rescue

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Dimiter, Prodanov. "Computational aspects of the approximate analytic solutions of the SIR model: applications to modelling of COVID-19 outbreaks." June 20, 2023. https://doi.org/10.1007/s11071-023-08656-8.

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The SIR (Susceptible-Infected-Recovered) is one of the simplest models for epidemic outbreaks. The present paper derives the parametric solution of the model in terms of quadratures and derives a double exponential analytical asymptotic solution for the I-variable, which is valid on the entire real line. Moreover, the double exponential solution can be used successfully for parametric estimation either in stand-alone mode or as a preliminary step in the parametric estimation using numerical inversion of the parametric solution. A second, refined, asymptotic s

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Fayzan, Ahmed. "S-I-R Model and COVID-19 Data-Based Numerical Ro Estimation for Pandemic Modeling." Sir Syed University Research Journal of Engineering & Technology 12, no. 02 (2022). https://doi.org/10.33317/ssurj.384.

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A contagious disease transmits from human to human or animal to human. At present world is encountered with such a disease, known as COVID-19. More than half a million people have died due to this pandemic. The pandemic started in China and spread within no time to other parts of the world. Italy and USA are the most unfortunate countries as a large number of deaths occurred in these two countries. No doubt this contagious disease has created social as well as economic problems all over the world, especially in underdeveloped countries. The disease easily transmits to a healthy person during s

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Dissertations / Theses on the topic "Modèle Susceptible-Infected-Susceptible (SIS)"

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Lindamulage, de Silva Olivier. "On the Efficiency of Decentralized Epidemic Management and Competitive Viral Marketing." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0145.

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Cette thèse explore la prise de décision décentralisée dans les dynamiques épidémiques et de marketing viral en utilisant la théorie des jeux afin d'évaluer son efficacité. La thèse commence par une revue des outils mathématiques, mettant l'accent sur la théorie des graphes/jeux. Dans la suite de ce manuscrit, l'analyse de jeu épidémiologique et de compétition en marketing viral est établie. Notamment, dans le chapitre 2 où il est présenté un jeu épidémique en réseau dans lequel chaque joueur (région ou pays) cherche à trouver un compromis entre les pertes socio-économiques et sanitaires, tout

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Gerardi, Davi de Oliveira. "Previsão de séries temporais epidemiológicas usando autômatos celulares e algoritmos genéticos." Universidade Presbiteriana Mackenzie, 2010. http://tede.mackenzie.br/jspui/handle/tede/1386.

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Made available in DSpace on 2016-03-15T19:37:27Z (GMT). No. of bitstreams: 1 Davi de Oliveira Gerardi.pdf: 2216694 bytes, checksum: 5c92a695124c5b7d9e20de8329020701 (MD5) Previous issue date: 2010-08-02<br>SIS (susceptible-infected-susceptible) and SIR (susceptible-infectedremoved) epidemiological models based on probabilistic cellular automaton (PCA) are used in order to simulate the temporal evolution of the number of people infected by dengue in the city of Rio de Janeiro in 2007, and to predict the cases of infection in 2008. In the PCA, three different sizes of lattices and two kinds of

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Kandhway, Kundan. "Optimal Control of Information Epidemics in Homogeneously And Heterogeneously Mixed Populations." Thesis, 2016. http://etd.iisc.ac.in/handle/2005/2670.

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Social networks play an important role in disseminating a piece of information in a population. Companies advertising a newly launched product, movie promotion, political campaigns, social awareness campaigns by governments, charity campaigns by NGOs and crowd funding campaigns by entrepreneurs are a few examples where an entity is interested in disseminating a piece of information in a target population, possibly under resource constraints. In this thesis we model information diffusion in a population using various epidemic models and study optimal campaigning strategies to maximize the reach

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Kandhway, Kundan. "Optimal Control of Information Epidemics in Homogeneously And Heterogeneously Mixed Populations." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2670.

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Social networks play an important role in disseminating a piece of information in a population. Companies advertising a newly launched product, movie promotion, political campaigns, social awareness campaigns by governments, charity campaigns by NGOs and crowd funding campaigns by entrepreneurs are a few examples where an entity is interested in disseminating a piece of information in a target population, possibly under resource constraints. In this thesis we model information diffusion in a population using various epidemic models and study optimal campaigning strategies to maximize the reach

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Books on the topic "Modèle Susceptible-Infected-Susceptible (SIS)"

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Bianconi, Ginestra. Epidemic Spreading. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0013.

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Epidemic processes are relevant to studying the propagation of infectious diseases, but their current use extends also to the study of propagation of ideas in the society or memes and news in online social media. In most of the relevant applications epidemic spreading does not actually take place on a single network but propagates in a multilayer network where different types of interaction play different roles. This chapter provides a comprehensive view of the effect that multilayer network structures have on epidemic processes. The Susceptible–Infected–Susceptible (SIS) Model and the Suscept

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Book chapters on the topic "Modèle Susceptible-Infected-Susceptible (SIS)"

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Tian, Zhuang, Yu Cao, Xuting Zheng, and Jingping Zhang. "Modeling of Covid-19 Transmission Using Machine Learning." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220054.

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A susceptible-infected-susceptible (SIS) model with a nonlinear infection rate, a forecast model based on autoregressive integrated moving average (ARIMA), and a forecast model based on long short-term memory (LSTM) artificial neural networks were developed using the COVID-19 epidemic data from four countries (China, Italy, the United Kingdom, Germany, France, and Poland) to simulate and forecast the epidemic trends in these countries. The models were compared in terms of forecast errors, and the LSTM model was found to forecast virus transmission very well.

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Zimeras, Stelios. "Advancements in Epidemiological Modelling and Control Strategies for Infectious Diseases." In Advances in Healthcare Information Systems and Administration. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3260-3.ch002.

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The chapter argues that communicable diseases are typically spread from one person to another through contact with blood and body fluids, breathing in an airborne virus, or being bitten by a carrier of the virus. An epidemiological mathematical model is a model that describes epidemics. When a pandemic occurs, mathematical models play an important role in comparing, planning, implementing, evaluating, and optimizing various methods of detection, prevention, treatment, and control programs, contributing significantly to the fight against the spread and control of infectious diseases. Therefore,

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Tudela, Carlos Andres Reyna Vera, and Silvana Martins Ferreira. "BASIC EPIDEMIOLOGICAL MODELS IN A PROPOSAL FOR THE TEMPORAL EVOLUTION OF AIDS." In Health Sciences in Practice: Real-World Applications and Challenges. Seven Editora, 2025. https://doi.org/10.56238/sevened2024.042-008.

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Since the 1980s, there has been great progress in research into the diagnosis, treatment and control of AIDS, but this disease still affects the Brazilian population intensely. The HIV virus acts on the immune system, leading to the emergence of opportunistic diseases. Antiretroviral therapies have allowed patients to maintain a healthy life for a long time. However, some recent research has shown that this virus can be responsible for premature aging in infected people, causing the degenerative nature of the disease to be widely discussed. Just as health scholars have been researching how to

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