Vaccination schedule

Infectious Bursal Disease

Published in Moayad N. Khalaf, Michael Olegovich Smirnov, Porteen Kannan, A. K. Haghi, Environmental Technology and Engineering Techniques, 2020

P. Raja

In addition to strict compliance with rules of hygiene and disinfection, the success of vaccination depends on the choice of the vaccine strain and on the vaccination schedule. These must take account of the existence of certain pathotypes and the presence of antigenic variants in certain regions.

Optimisation of COVID-19 vaccination process using GIS, machine learning, and the multi-layered transportation model

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Journal Information

Published in International Journal of Production Research, 2023

Kenan Mengüç, Nezir Aydin, Mesut Ulu

The study has shown that vaccination can be completed at the same time for all groups with ideal grouping. Thus, the proposed method is intended to reduce the risk of spreading the disease among the vaccinated and unvaccinated members of society. The COVID-19 vaccine BioNTech (BNT162b1) shows that 21 days after the second vaccination, the produced antibody levels are at a maximum for providing protection against COVID-19 for 95.2% of people (Sahin et al. 2020). In addition, a third vaccine dose is administered no more than 70 days after the last vaccination (i.e. 6 months after the recovery of infected individuals) for achieving herd immunity (Saciuk et al. 2021). The study has produced very meaningful results for providing a planned vaccination schedule to keep the community’s antibody levels at a peak. This study fills a serious gap in the literature with the hybrid model it has produced for both combining resources under appropriate parameters and for cases with greater numbers of locations.

Vaccination schedule

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Infectious Bursal Disease

Optimisation of COVID-19 vaccination process using GIS, machine learning, and the multi-layered transportation model