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Vaccines
Special Issues
COVID-19 Vaccine and Vaccination: Modeling Analysis
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COVID-19 Vaccine and Vaccination: Modeling Analysis

A special issue of Vaccines (ISSN 2076-393X). This special issue belongs to the section "Epidemiology".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 2234

Special Issue Editor

Dr. Rashidul Alam Mahumud

E-Mail Website
Guest Editor
Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
Interests: health economics; clinical epidemiology; artificial intelligence; public health in oncology; IMAGE trials; chronic disease management

Special Issue Information

Dear Colleagues,

The pandemic of SARS-CoV-2 infections is a severe threat to human life and the world economic condition. Vaccination is a valid method to protect people from infections. Maximizing the effectiveness of vaccines requires extensive research. Modeling analysis is one useful approach. We are pleased to invite submissions on this topic in this Special Issue. The purpose of this Special Issue is to provide academics with a platform to present their latest research findings, as well as articles that focus on the use of models to study vaccination and vaccine efficacy. In this Special Issue, original research articles and reviews are welcome.

I look forward to receiving your contributions.

Dr. Rashidul Alam Mahumud
Guest Editor

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 vaccine
  • modeling analysis
  • health economics
  • clinical epidemiology
  • public health in oncology

Published Papers (1 paper)

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Research

14 pages, 279 KiB  
Article
Multi-Perspective Views and Hesitancy toward COVID-19 Vaccines: A Mixed Method Study
by Serine Sahakyan, Natella Gharibyan, Lusine Aslanyan, Varduhi Hayrumyan, Arusyak Harutyunyan, Lorky Libaridian and Zaruhi Grigoryan
Vaccines 2023, 11(4), 801; https://doi.org/10.3390/vaccines11040801 - 5 Apr 2023
Cited by 2 | Viewed by 1939
Abstract
The worldwide uptake of COVID-19 vaccines was suboptimal throughout the pandemic; vaccine hesitancy played a principle role in low vaccine acceptance both globally and in Armenia. In order to understand the factors behind the slow vaccine uptake in Armenia, we aimed to explore [...] Read more.
The worldwide uptake of COVID-19 vaccines was suboptimal throughout the pandemic; vaccine hesitancy played a principle role in low vaccine acceptance both globally and in Armenia. In order to understand the factors behind the slow vaccine uptake in Armenia, we aimed to explore the prevailing perceptions and experiences of healthcare providers and the general public related to COVID-19 vaccines. The study applied a convergent parallel mixed-methods study design (QUAL-quant) through in-depth interviews (IDI) and a telephone survey. We completed 34 IDIs with different physician and beneficiary groups and a telephone survey with 355 primary healthcare (PHC) providers. The IDIs found that physicians held variable views on the need for COVID-19 vaccination which, combined with mixed messaging in the media landscape, fueled the public’s vaccine hesitancy. The survey results were mostly consistent with the qualitative findings as 54% of physicians hypothesized that COVID-19 vaccines were rushed without appropriate testing and 42% were concerned about the safety of those vaccines. Strategies to improve vaccination rates must target the main drivers of hesitancy, such as physicians’ poor knowledge of specific vaccines and spiraling misconceptions about them. Meanwhile, timely educational campaigns with targeted messaging for the general public should address misinformation, promote vaccine acceptance, and empower their capacity to make decisions about their health. Full article
(This article belongs to the Special Issue COVID-19 Vaccine and Vaccination: Modeling Analysis)
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