Abstract : The development and evaluation of efficient vaccination techniques are crucial in light of the reoccurring hazards posed by Swine flu (H1N1). This paper offers a novel compartmental mathematical model, abbreviated as SEIQVR, to completely investigate Swine flu transmission dynamics considering both vaccination interventions. By separating the population into those who are Vulnerable (S), Exposed (E), Infected (I), Quarantined (Q), Vaccinated (V), and Recovered (R), the model can accurately simulate the intricate dynamics of Swine Flu pandemics. The relationship between vaccination tactics and the spread of disease is studied by factoring in variables such as the prevalence of the disease, the vaccination rate, the rate at which immunity declines, and the length of time spent in quarantine. The findings of this research have important implications for the development and implementation of effective immunization programs to prevent further Swine Flu epidemics. Decisions on resource allocation, vaccination campaign planning, and general pandemic preparedness can all be informed by a deeper comprehension of the complex dynamics of SEIQVR. This mathematical model contributes to the arsenal of tools accessible to epidemiologists and policymakers, supporting the creation of preventative measures to defend world health against Swine flu and comparable infectious dangers.
Cite : Yadav, S. S., & Singh, B. P. (2024). A Mathematical Model For Analyzing Swine Flu Outbreaks In The Presence Of Vaccination (1st ed., pp. 106-115). Noble Science Press. https://doi.org/10.52458/9788197112492.nsp.2024.eb.ch-10
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