Mathematical Modelling of Epidemiology in Presence of Vaccination and Delay

التفاصيل البيبلوغرافية
العنوان: Mathematical Modelling of Epidemiology in Presence of Vaccination and Delay
المؤلفون: Dilip Kumar Khan, Uttam Ghosh, West Bengal, Sourav Chowdhury
المصدر: Computer Science & Information Technology ( CS & IT ).
بيانات النشر: Academy & Industry Research Collaboration Center (AIRCC), 2013.
سنة النشر: 2013
مصطلحات موضوعية: Vaccination, medicine.medical_specialty, Pediatrics, business.industry, Infectious disease (medical specialty), Public health, Immunology, Epidemiology, Medicine, business, Mathematical modelling of infectious disease
الوصف: The Mathematical modeling of infectious disease is currently a major research topic in the public health domain. In some cases the infected individuals may not be infectious at the time of infection. To become infectious, the infected individuals take some times which is known as latent period or delay. Here the two SIR models are taken into consideration for present analysis where the newly entered individuals have been vaccinated with a specific rate. The analysis of these models show that if vaccination is administered to the newly entering individuals then the system will be asymptotically stable in both cases i.e. with delay and without delay.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0331082c37d6b40f235ad7ec5876c3b3
https://doi.org/10.5121/csit.2013.3209
حقوق: OPEN
رقم الأكسشن: edsair.doi...........0331082c37d6b40f235ad7ec5876c3b3
قاعدة البيانات: OpenAIRE