Zobrazeno 1 - 10
of 868
pro vyhledávání: '"epidemic dynamics"'
Autor:
Karol Niedzielewski, Rafał P. Bartczuk, Natalia Bielczyk, Dominik Bogucki, Filip Dreger, Grzegorz Dudziuk, Łukasz Górski, Magdalena Gruziel-Słomka, Jędrzej Haman, Artur Kaczorek, Jan Kisielewski, Bartosz Krupa, Antoni Moszyński, Jędrzej M. Nowosielski, Maciej Radwan, Marcin Semeniuk, Urszula Tymoszuk, Jakub Zieliński, Franciszek Rakowski
Publikováno v:
Epidemics, Vol 49, Iss , Pp 100801- (2024)
We employ pDyn (derived from “pandemics dynamics”), an agent-based epidemiological model, to forecast the fourth wave of the SARS-CoV-2 epidemic, primarily driven by the Delta variant, in Polish society. The model captures spatiotemporal dynamics
Externí odkaz:
https://doaj.org/article/6bd3756242e54f638e175fd1d60cf5d3
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
The outbreak of an epidemic often stimulates the generation of public awareness about epidemic prevention. This heightened awareness encourages individuals to take proactive protective measures, thereby curbing the transmission of the epidemic. Previ
Externí odkaz:
https://doaj.org/article/d67f708092b2493881ac3be1743a67c1
Publikováno v:
Royal Society Open Science, Vol 11, Iss 7 (2024)
Optimizing vaccination impact during an emerging disease becomes crucial when vaccine supply is limited, and robust protection requires multiple doses. Facing this challenge during the early stages of the COVID-19 vaccine deployment, a pivotal policy
Externí odkaz:
https://doaj.org/article/0af34ddef5fa4c6698bdfade70fef02e
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
By caching popular content on edge servers closer to users to respond to users’ content requests in 6G networks, the transmission load of backhaul links can be reduced. However, the time-varying characteristics of content prevalence leads to the is
Externí odkaz:
https://doaj.org/article/f5a2f0b5683c4bf39bf489e703c02b7e
Autor:
José Alejandro Rojas-Venegas, Pablo Gallarta-Sáenz, Rafael G. Hurtado, Jesús Gómez-Gardeñes, David Soriano-Paños
Publikováno v:
Entropy, Vol 26, Iss 10, p 888 (2024)
Obtaining accurate forecasts for the evolution of epidemic outbreaks from deterministic compartmental models represents a major theoretical challenge. Recently, it has been shown that these models typically exhibit trajectory degeneracy, as different
Externí odkaz:
https://doaj.org/article/548e22272a6d4da5b263ed5b637466b4
Autor:
Igor Nesteruk
Publikováno v:
Infectious Disease Modelling, Vol 8, Iss 3, Pp 806-821 (2023)
The challenges humanity is facing due to the Covid-19 pandemic require timely and accurate forecasting of the dynamics of various epidemics to minimize the negative consequences for public health and the economy. One can use a variety of well-known a
Externí odkaz:
https://doaj.org/article/98e525ef032548a9a08b309e17748dc6
Autor:
Yuuka Masuda, Hesham Nasser, Jiri Zahradnik, Shuya Mitoma, Ryo Shimizu, Kayoko Nagata, Akifumi Takaori-Kondo, Gideon Schreiber, The Genotype to Phenotype Japan (G2P-Japan) Consortium, Kotaro Shirakawa, Akatsuki Saito, Terumasa Ikeda, Jumpei Ito, Kei Sato
Publikováno v:
Frontiers in Virology, Vol 3 (2023)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has substantially diversified during the pandemic, resulting in the successive emergence of variants characterized by various mutations. It has been observed that several epidemic variants,
Externí odkaz:
https://doaj.org/article/ba57fdf08fff498fb71144b8613e9fd2
Autor:
Igor Nesteruk, Paul Brown
Publikováno v:
Computation, Vol 12, Iss 4, p 70 (2024)
The full-scale invasion of Ukraine caused an unprecedented number of refugees after 24 February 2022. To estimate the influence of this humanitarian disaster on the COVID-19 pandemic dynamics, the smoothed daily numbers of cases in Ukraine, the UK, P
Externí odkaz:
https://doaj.org/article/3b39e5e2715a4b4daab152771f4d1a89
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100189- (2023)
It is important to understand how the provision of information influences individuals’ behavior and its impact on disease transmission dynamics. We formulate a simple deterministic Susceptible–Infected–Recovered (SIR) model with vital dynamics
Externí odkaz:
https://doaj.org/article/03af18d861ee4d649bc1f082a526632e
Publikováno v:
International Journal of Infectious Diseases, Vol 122, Iss , Pp 382-388 (2022)
Background: Little is known about global variation in early epidemic growth rates and effective reproduction numbers (Re) of seasonal influenza. We aimed to estimate global variation in Re of influenza type A and B during a single period. Methods: Co
Externí odkaz:
https://doaj.org/article/836af8f3638941fcaa11d151775658a1