Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Explaining the intention to uptake COVID-19 vaccination using the behavioral and social drivers of vaccination (BeSD) model Subject The topic of the resource BeSD; COVID-19; Trust in the healthcare; Vaccination uptake; Vaccine acceptance scale; Vaccine communication strategy Description An account of the resource Background: The World Health Organization (WHO) has proposed a tool to measure behavioral and social drivers (BeSD) of vaccination uptake intentions of people across all countries. This study tests BeSD model to predict people's intentions to uptake COVID-19 vaccination in rural India. Methods: An online cross-sectional survey was developed for the purpose based on the components of the BeSD model, i.e., confidence, motivation, and behavioral intention. A convenient sampling technique was used to collect samples, amounting to a total of 625, from rural Bengaluru, in the Karnataka state of India. Structural equation modelling (SEM) was applied to examine the proposed model. All respondents for the survey were in the age category of 1868 years with a mean age of 35 years. Findings: The results showed that 85% of COVID-19 vaccine uptake intentions can directly or indirectly be attributed to the government's vaccine communication strategy, perceived threats about the vaccine, and their trust in the healthcare sector. The dimensions of the vaccine acceptance scale (motivation factors) act as a mediator between these factors and COVID-19 vaccination uptake (the behavioral factor). Conclusion: The study demonstrates that the BeSD framework is an efficient model for predicting the COVID-19 vaccination uptake in India. 2022 The Authors Creator An entity primarily responsible for making the resource Alagarsamy S.; Mehrolia S.; Pushparaj U.; Jeevananda S. Source A related resource from which the described resource is derived Vaccine: X, Vol-10 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.jvacx.2021.100140" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jvacx.2021.100140</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122560280&amp;doi=10.1016%2Fj.jvacx.2021.100140&amp;partnerID=40&amp;md5=3799e214bd19c7237e6e07bbd364f4ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122560280&amp;doi=10.1016%2fj.jvacx.2021.100140&amp;partnerID=40&amp;md5=3799e214bd19c7237e6e07bbd364f4ca</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 25901362 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Alagarsamy S., Manipal Academy of Higher Education, Dubai Campus, United Arab Emirates; Mehrolia S., School of Business and Management, Christ University, Bangalore, India; Pushparaj U., Department of Anaesthesiology, St. John's Medical College Hospital, Bangalore, India; Jeevananda S., School of Business and Management, Christ University, Bangalore, India