COVID-19 vaccine willingness and hesitancy among residents in Qatar: a quantitative analysis based on machine learning.
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...
| Publicado en: | Journal of Human Behavior in the Social Environment Vol. 32; no. 7; pp. 899 - 923 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158859962&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158859962 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10911359 3XW jtl: Journal of Human Behavior in the Social Environment issn: 10911359 maglogo: N pubinfo: dt: Oct2022 vid: 32 iid: 7 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 158859962 152578205 158859962 158859962 10.1080/10911359.2021.1973642 158859962 ppf: 899 ppct: 24 formats: fmt: – @attributes: type: T db: hlh ui: 158859962 – @attributes: type: P db: hlh ui: 158859962 tig: atl: COVID-19 vaccine willingness and hesitancy among residents in Qatar: a quantitative analysis based on machine learning. aug: au: Hafizh, Muhammad Badri, Yousif Mahmud, Sakib Hafez, Amir Choe, Pilsung affil: Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar sug: subj: COVID-19 Vaccines Therapeutic Use Attitude to Vaccines Vaccination Hesitancy Qatar Human Qatar Activities of Daily Living Questionnaires Machine Learning Utilization Male Female Adolescence Young Adult Middle Age Descriptive Statistics Summated Rating Scaling Alternative Hypothesis Two-Way Analysis of Variance Analysis of Variance P-Value Data Analysis Software Ethnic Groups Race Factors Confidence Intervals Sensitivity and Specificity Algorithms Logistic Regression ROC Curve Contact Tracing Funding Source Adolescent: 13-18 years Middle Aged: 45-64 years Male Female ab: 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. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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