Zobrazeno 1 - 10
of 125
pro vyhledávání: '"SEIQR"'
Autor:
Qiao Liu, Meng Yang, Qiuping Chen, Chan Liu, Yue He, Laurent Gavotte, Zeyu Zhao, Yanhua Su, Roger Frutos, Kaiwei Luo, Tianmu Chen
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The elevated incidence of tuberculosis (TB) outbreaks in schools poses a significant challenge to prevention and control efforts in China. The commonality among most outbreaks is the failure to isolate patients at an early stage.
Externí odkaz:
https://doaj.org/article/e3f3774ad3f74784be8eb1d8873502c2
Autor:
Mominul Islam, M. Ali Akbar
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 12, Iss , Pp 100960- (2024)
In this article, we present a fractional-order susceptible-exposed-infected-quarantine-recovered (SEIQR) model to analyze the dynamics of the COVID-19 pandemic. The model includes susceptible (S), exposed (E), infected (I), quarantined (Q), and recov
Externí odkaz:
https://doaj.org/article/d8929291e7324276bd54669f9544a2fa
Autor:
Wenxiu Chen, Wei An, Chen Wang, Qun Gao, Chunzhen Wang, Lan Zhang, Xiao Zhang, Song Tang, Jianxin Zhang, Lixin Yu, Peng Wang, Dan Gao, Zhe Wang, Wenhui Gao, Zhe Tian, Yu Zhang, Wai-yin Ng, Tong Zhang, Ho-kwong Chui, Jianying Hu, Min Yang
Publikováno v:
Emerging Microbes and Infections (2024)
During the COVID-19 pandemic, healthcare systems worldwide faced severe strain. This study, utilizing wastewater virus surveillance, identified that periodic spontaneous avoidance behaviors significantly impacted infectious disease transmission durin
Externí odkaz:
https://doaj.org/article/92199af0dac944049918fcbe83820c1a
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Containment measures slowed the spread of COVID-19 but led to a global economic crisis. We establish a reinforcement learning (RL) algorithm that balances disease control and economic activities. Methods To train the RL agent, we
Externí odkaz:
https://doaj.org/article/6bdf0930dd82432da8d6820f76f22971
Publikováno v:
Jambura Journal of Mathematics, Vol 6, Iss 1, Pp 68-75 (2024)
This study aims to analyze the SEIQR model for the SARS-CoV-2 dynamic by considering in-out mobility. The model construction is based on the COVID-19 response strategy implemented by the Indonesian government, then analyzing the model by determining
Externí odkaz:
https://doaj.org/article/3b444a9202d3467fb4669804efa0ecb2
Publikováno v:
Fractal and Fractional, Vol 8, Iss 10, p 586 (2024)
Norovirus is a leading global cause of viral gastroenteritis, significantly affecting mortality, morbidity, and healthcare costs. This paper develops and analyzes a stochastic SEIQR epidemic model for norovirus dynamics, incorporating temporal immuni
Externí odkaz:
https://doaj.org/article/1e017806de8b4bc9b057df272db0d7c7
Publikováno v:
Electronic Research Archive, Vol 31, Iss 7, Pp 4155-4184 (2023)
In this paper, a class of multi-group SEIQR models with random perturbation in computer network is investigated. The existence and uniqueness of global positive solution with any positive initial value are obtained. The sufficient conditions on the a
Externí odkaz:
https://doaj.org/article/ed7fff20550d48cf91ecf28ec376b506
Autor:
Kalpana Umapathy, Balaganesan Palanivelu, Renuka Jayaraj, Dumitru Baleanu, Prasantha Bharathi Dhandapani
Publikováno v:
AIMS Mathematics, Vol 8, Iss 3, Pp 5918-5933 (2023)
In this manuscript, we are proposing a new kind of modified Susceptible Exposed Infected Quarantined Recovered model (SEIQR) with some assumed data. The novelty imposed here in the study is that we are studying simultaneously SIR, SEIR, SIQR, and SEQ
Externí odkaz:
https://doaj.org/article/b0df8f6e76b04df79bee55df0c4e0d8e
Publikováno v:
Results in Control and Optimization, Vol 12, Iss , Pp 100256- (2023)
A pandemic is a disease that spreads over a broad territory. COVID-19 is the latest pandemic to be reported, following the 1918 flu pandemic. We develop a compartmental model based on the classic SEIQR model to investigate coronavirus dynamics in Ind
Externí odkaz:
https://doaj.org/article/f31de661eba54a9ea077f2f423fb5b84
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