Covid-19 vaccine willingness and hesitancy among residents in Qatar
A Quantitative Analysis Based on Machine Learning
Bibliographic Data
| ID | 2169177 |
|---|---|
| Authors | Muhammad Hafizh (0000-0002-9550-5321, Qatar University), Yousif Badri (0000-0001-6661-410X, Qatar University), Sumiya Mahmud (0000-0002-4599-2192, Qatar University), Amir Hafez (Qatar University), Pilsung Choe (0000-0003-2631-8271, Qatar University) |
| Year | 2022 |
| Volume | 32 |
| Issue | 7 |
| Pages | 899-922 |
| Publication date | 2022-10-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Human Behavior in the Social Environment (JOURNAL) |
| Journal identifiers | ISSN: 1091-1359 • E-ISSN: 1540-3556 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10911359.2021.1973642 |
| OpenAlex | W3201274821 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
The spread of the COVID-19 virus has brought forward a global pandemic that has halted many businesses and placed restrictions on daily activities. Vaccination of residents is crucial for a small country like Qatar to contain the spread of the virus. This study will aim to investigate and report the general outlook of Qatari residents toward the vaccine, the points of hesitancies, and how the contact tracing application (Ehteraz) can play a role in promoting vaccination. A questionnaire survey was given, and respondents answered a series of background questions and questions related to vaccine hesitancy and the effectiveness of the Ehteraz application. A broad search strategy was used to identify the main contributors to willingness and hesitancy with the COVID-19 vaccination. Regression models and test-train machine learning techniques were used for analysis. The results showed that dominance analysis was effective in highlighting the main barriers and promoters in taking the vaccine and that respondent's characteristics can be used to predict vaccination attitude
2019-20 coronavirus outbreak · Contact tracing · Coronavirus disease 2019 (COVID-19 · Family medicine · Infectious disease (medical specialty · Outbreak · Pandemic · Political science · Respondent · Vaccination · COVID-19 epidemiological studies · Medicine · Psychology · SARS-CoV-2 and COVID-19 Research · Vaccine Coverage and Hesitancy · Virology
The dominance analysis approach for comparing predictors in multiple regression.
High Rates of Covid-19 Vaccine Hesitancy and Its Association with Conspiracy Beliefs
World Health Organization declares global emergency
Understanding vaccine hesitancy around vaccines and vaccination from a global perspective
Barriers of Influenza Vaccination Intention and Behavior – A Systematic Review of Influenza Vaccine Hesitancy, 2005 – 2016
A global survey of potential acceptance of a Covid-19 vaccine
How will country-based mitigation measures influence the course of the Covid-19 epidemic?
The psychological impact of quarantine and how to reduce it
Likert scales, levels of measurement and the “laws” of statistics
Privacy concerns can explain unwillingness to download and use contact tracing apps when Covid-19 concerns are high
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |