Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Optimal control analysis for the transmission of Nipah infection with imperfect vaccination

M. Xie, M. Younas Khan, S. Ullah, M. Farooq, MB. Riaz, BA. Alwan

. 2025 ; 20 (4) : e0317408. [pub] 20250416

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc25016093

This paper presents an innovative mathematical model for assessing the dynamics and optimal control of Nipah virus (NiV) with imperfect vaccination. The model formulation considers transmissions through contaminated food and human-to-human contacts. It also incorporates the potential virus transmission through contact with a deceased body infected with NiV. Initially, the NiV model is assessed theoretically, identifying three distinct equilibrium states: the NiV-endemic equilibrium state, the NiV-free equilibrium state, and the equilibrium state involving infected flying foxes. Furthermore, the stability results of the model in the case of constant controls are thoroughly analyzed at the NiV-free equilibrium. Some of the parameters of the model are estimated based on the infected cases documented in Bangladesh from 2001 to 2017. We further perform sensitivity analysis to determine the most influential parameters and formulate effective time-dependent controls. Numerical simulations indicate the optimal course of action for eradicating the disease and provide a comparative analysis of controlling the infection under constant and time-varying interventions. The simulation confirms that the implementation of time-varying interventions is effective in minimizing disease incidence.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc25016093
003      
CZ-PrNML
005      
20250731091521.0
007      
ta
008      
250708s2025 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1371/journal.pone.0317408 $2 doi
035    __
$a (PubMed)40239175
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Xie, Mengqi $u Department of ElectronicInformation Engineering, Xi'an Technological University, Xi'an, China
245    10
$a Optimal control analysis for the transmission of Nipah infection with imperfect vaccination / $c M. Xie, M. Younas Khan, S. Ullah, M. Farooq, MB. Riaz, BA. Alwan
520    9_
$a This paper presents an innovative mathematical model for assessing the dynamics and optimal control of Nipah virus (NiV) with imperfect vaccination. The model formulation considers transmissions through contaminated food and human-to-human contacts. It also incorporates the potential virus transmission through contact with a deceased body infected with NiV. Initially, the NiV model is assessed theoretically, identifying three distinct equilibrium states: the NiV-endemic equilibrium state, the NiV-free equilibrium state, and the equilibrium state involving infected flying foxes. Furthermore, the stability results of the model in the case of constant controls are thoroughly analyzed at the NiV-free equilibrium. Some of the parameters of the model are estimated based on the infected cases documented in Bangladesh from 2001 to 2017. We further perform sensitivity analysis to determine the most influential parameters and formulate effective time-dependent controls. Numerical simulations indicate the optimal course of action for eradicating the disease and provide a comparative analysis of controlling the infection under constant and time-varying interventions. The simulation confirms that the implementation of time-varying interventions is effective in minimizing disease incidence.
650    12
$a infekce viry z rodu Henipavirus $x přenos $x prevence a kontrola $x epidemiologie $7 D045464
650    12
$a virus Nipah $x imunologie $7 D045405
650    _2
$a lidé $7 D006801
650    _2
$a zvířata $7 D000818
650    12
$a vakcinace $7 D014611
650    _2
$a teoretické modely $7 D008962
650    _2
$a počítačová simulace $7 D003198
651    _2
$a Bangladéš $x epidemiologie $7 D001459
655    _2
$a časopisecké články $7 D016428
700    1_
$a Younas Khan, Muhammad $u Departmentof Mathematics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan $u Department of Mathematics University of Science and Technology, Bannu, Pakistan
700    1_
$a Ullah, Saif $u Departmentof Mathematics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan $1 https://orcid.org/0000000243386850
700    1_
$a Farooq, Muhammad $u Departmentof Mathematics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan
700    1_
$a Riaz, Muhammad Bilal $u IT4Innovations, VSB-Technical University of Ostrava, Ostrava, Czech Republic $u Jadara University Research Center, Jadara University, Irbid, Jordan
700    1_
$a Alwan, Basem Al $u ChemicalEngineering Department, College of Engineering, King Khalid University, Abha,Saudi Arabia
773    0_
$w MED00180950 $t PloS one $x 1932-6203 $g Roč. 20, č. 4 (2025), s. e0317408
856    41
$u https://pubmed.ncbi.nlm.nih.gov/40239175 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20250708 $b ABA008
991    __
$a 20250731091516 $b ABA008
999    __
$a ok $b bmc $g 2366739 $s 1253218
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2025 $b 20 $c 4 $d e0317408 $e 20250416 $i 1932-6203 $m PloS one $n PLoS One $x MED00180950
LZP    __
$a Pubmed-20250708

Najít záznam

Citační ukazatele

Možnosti archivace