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Dataset to explore factors affecting COVID-19 vaccination intention. Evidence from Morocco.
Abdessadek, Mohammed; Ben-Saghroune, Hayat; Boubker, Omar; Iken, Imane; Abid, Houssni; Amraoui, Belkassem El; Khabbal, Youssef.
  • Abdessadek M; Laayoune Higher School of Technology, Ibn Zohr University, Morocco.
  • Ben-Saghroune H; Laboratory of anesthesia-intensive care and emergency medicine Medical Center of Biomedical and Translational Research Physiology, Pharmacology and Health, Faculty of Medicine and Pharmacy of Fez.
  • Boubker O; Laayoune Higher School of Technology, Ibn Zohr University, Morocco.
  • Iken I; Poison control and pharmacovigilance, Center of Morocco, Rabat, Morocco.
  • Abid H; Higher Institute of Nursing Professions and Health Techniques Health Sciences, Laayoune.
  • Amraoui BE; Polydisciplinary Faculty of Taroudant, Ibn Zohr University, Taroudant, Morocco.
  • Khabbal Y; Faculty of Medicine and Pharmacy, Ibn Zohr University, Agadir, Morocco.
Data Brief ; 43: 108365, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1881912
ABSTRACT
The coronavirus pandemic (COVID-19) has had an immense impact on humanity in every aspect of life. Governments around the world have mandated movement restrictions, including in the Moroccan government, in which unfortunately the pandemic continues to propagate and causes serious problems for public health and economic activities in the Kingdom. As a major factor in the fight against the spread of COVID-19, the Moroccan government has undertaken major efforts to ensure the availability of the COVID-19 vaccines for all citizens. These valuable efforts resulted in initiation of the vaccination campaign, which started on February 14, 2021. As vaccination was voluntary, identifying the factors promoting citizen's intention to take the vaccine against COVID-19 may help government to take additional precautions to address the propagation of COVID-19, and ensure a return to normal life. Hence, this data article aims to identify factors influencing the Moroccan citizens to get a vaccine for COVID-19. The data were collected using an online questionnaire among Moroccan citizens. In addition, the Partial Least Squares Structural Equation Modeling technique was adopted in order to analyze the collected dataset.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Vaccines Language: English Journal: Data Brief Year: 2022 Document Type: Article Affiliation country: J.dib.2022.108365

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Vaccines Language: English Journal: Data Brief Year: 2022 Document Type: Article Affiliation country: J.dib.2022.108365