Models Analysis for SARS-CoV-2 Transmission and Vaccination Rollout
A special issue of Vaccines (ISSN 2076-393X).
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 491
Special Issue Editors
Interests: data analysis and visualization; image processing; pattern recognition and artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: human health; risk assessment; computational biophysical modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are organizing a Special Issue on “Models Analysis for SARS-CoV-2 Transmission and Vaccination Rollout” on behalf of the journal Vaccines.
In the three years following the emergence of the global COVID-19 pandemic, the environment and people’s daily lives have changed dramatically. Moreover, the situation has been further complicated by the vaccination of such a large population and the emergence of new viral variants. Several studies have discussed the correlated factors and potential impacts on human health, contributing to knowledge that has led to the restoration of normal life almost everywhere. Now, the recorded data could be useful in developing innovative models that can describe transmission of the virus with consideration of different global variants and vaccination efficiencies. We believe that existing pandemic data would enable the development of rigid and stable models that can be used to improve protection in potential future pandemics.
This Special Issue aims to attract high-quality academic articles that investigate new models and analyze data to provide a better understanding of COVID-19, with emphases on the contribution of vaccination rollout. Studies that consider mathematical, statistical, machine learning, and deep learning models are within the main scope of this Special Issue. We welcome original papers, systematic reviews, and case reports that address topics related to model analysis for SARS‑CoV‑2 transmission.
We look forward to receiving your valuable contributions.
Dr. Essam A. Rashed
Dr. Sachiko Kodera
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vaccines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- COVID-19
- virus transmission
- vaccination efficiency
- data analysis
- pandemic modeling
- forecasting
- risk assessment
- machine learning and deep learning
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