Information feedback provokes multi-peak dynamics in the modern pandemic spreading DOI
Sergey A. Lobov, A.I. Zharinov,

Ekaterina S. Berdnikova

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(16), P. 14677 - 14686

Published: May 27, 2024

Language: Английский

Epidemic Waves and Exact Solutions of a Sequence of Nonlinear Differential Equations Connected to the SIR Model of Epidemics DOI Creative Commons
Nikolay K. Vitanov,

Kaloyan N. Vitanov

Entropy, Journal Year: 2023, Volume and Issue: 25(3), P. 438 - 438

Published: March 1, 2023

The SIR model of epidemic spreading can be reduced to a nonlinear differential equation with an exponential nonlinearity. This approximated by sequence equations polynomial nonlinearities. from the obtained are treated Simple Equations Method (SEsM). allows us obtain exact solutions some these equations. We discuss several solutions. Some (but not all) used for description evolution waves. this connection. In addition, we use two study COVID-19 waves in Bulgaria comparison available data infected individuals.

Language: Английский

Citations

8
Computation of the Exact Forms of Waves for a Set of Differential Equations Associated with the SEIR Model of Epidemics DOI Creative Commons
Nikolay K. Vitanov, Zlatinka I. Dimitrova

Computation, Journal Year: 2023, Volume and Issue: 11(7), P. 129 - 129

Published: July 2, 2023

We studied obtaining exact solutions to a set of equations related the SEIR (Susceptible-Exposed-Infectious-Recovered) model epidemic spread. These may be used waves. transformed into differential equation that contained an exponential nonlinearity. This was then approximated by which polynomial nonlinearities. solved several from using Simple Equations Method (SEsM). In doing so, we obtained many new corresponding equations. Several these can describe evolution waves affect small percentage individuals in population. Such have frequently been observed COVID-19 pandemic recent years. The discussion shows SEsM is effective methodology for computing nonlinear help us understand various processes modeled systems. specific case model, some better quantities connected

Language: Английский

Citations

7
Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics DOI
Innokentiy Kastalskiy, Andreï Zinovyev, Evgeny M. Mirkes

et al.

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2024, Volume and Issue: 132, P. 107906 - 107906

Published: Feb. 13, 2024

Language: Английский

Citations

2
Coupled Propagation Dynamics of Information and Infectious Disease on Two-Layer Complex Networks with Simplices DOI Creative Commons
Zhiyong Hong, Huiyu Zhou,

Zhishuang Wang

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(24), P. 4904 - 4904

Published: Dec. 8, 2023

The mutual influence between information and infectious diseases during the spreading process is becoming increasingly prominent. To elucidate impact of factors such as higher-order interactions, interpersonal distances, asymptomatic carriers on coupled propagation diseases, a novel model constructed based two-layer complex network, where one layer network another weighted network. interactions in are characterized using 2-simplex, sUARU (simplicial unaware-aware-removed-unaware) employed to articulate propagation. inter-individual social distances disease represented by weights an SEIS (susceptible-exposed-infected-susceptible) utilized describe dynamic equations formulated utilizing microscopic Markov chain approach. An analytical expression for epidemic threshold obtained deriving it from steady-state form equations. Comprehensive simulations conducted scrutinize characteristics model. findings indicate that enhancing effects increasing both lead higher outbreak thresholds greater diseases. Additionally, stronger infectivity among extended incubation period favorable spread epidemic. These can provide meaningful guidance prevention control real-world epidemics.

Language: Английский

Citations

4
On strategies to help reduce contamination on public transit: a multilayer network approach DOI Creative Commons
Fernanda R. Gubert, Priscila Louise Leyser Santin, Mauro Fonseca

et al.

Applied Network Science, Journal Year: 2023, Volume and Issue: 8(1)

Published: June 23, 2023

Abstract In times of a global pandemic, public transit can be crucial to spreading viruses, especially in big cities. Many works have shown that the human infection risk could extremely high due length exposure time, transmission routes, and structural characteristics during transportation, this result rapid spread infection. Vaccines are often part strategies reduce contagion; however, they scarce pandemic settings. Considering real-world large-scale traffic data, work proposes using time-varying multilayer networks identify main critical places prioritized interventions, such as vaccination campaigns, help contagion on transit. We exemplify our strategy different scenarios. First, when considering only bus stops priority points, determined by approach, we indicate focusing these locations reduces fewer doses than random vaccination. another experiment, demonstrate flexibility approach identifying other points interest, healthcare units case. Vaccination vital health also viable curb predetermined number doses. The proposed study is not limited strategies. It applies problems share similar properties, even several contexts, optimization or exploring interest gather insights from issues interest.

Language: Английский

Citations

2
Information feedback provokes multi-peak dynamics in the modern pandemic spreading DOI
Sergey A. Lobov, A.I. Zharinov,

Ekaterina S. Berdnikova

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(16), P. 14677 - 14686

Published: May 27, 2024

Language: Английский

Citations

0