Open AccessVaccine Hesitancy Model for Health Informatics and Control of Covid-19 Infodemic
Author(s) -
Monisoye .O. Afolabi,
Rasheed Olabisi Owolewa,
Pritheega Magalingam,
Shereef O. Owolewa
Publication year - 2021
Publication title -
advances in multidisciplinary and scientific research journal
Language(s) - English
Resource type - Journals
ISSN - 2488-8699
DOI - 10.22624/aims/abmic2021p14
Subject(s) - misinformation , social media , pandemic , covid-19 , set (abstract data type) , psychology , public relations , political science , medicine , computer science , world wide web , disease , pathology , infectious disease (medical specialty) , law , programming language
As the world fights the pandemic, the world is also fighting infodemic and vaccine hesitancy, coincident with the massive shifts in communication technology and developments through social media. The World Health Organization considered vaccine hesitancy as a top ten global threat to public health. This study examines the causes and effects of vaccine hesitancy and proposes a model that adopts the 3C model. A set of structured items intended to capture responses from 150 students in Nigerian Universities towards their intention about the COVID- 19 vaccine was designed using the survey method. Their responses were analyzed using descriptive SPSS software programs. A soft modelling approach (Smart PLS) was used to evaluate the proposed model and analyze the relationships between the model constructs. The results indicate a high level of hesitancy among students. In contrast, respondents levels of confidence, complacency and convenience were high and motivated by misinformation. Based on the analyses of our findings, misinformation has reached crisis proportions regarding COVID- 19 and vaccines; social media play a more role in these challenges leading to infodemic. This article turns the spotlight by looking at how misinformation can travel within social media and could be managed, including the best ways to control infodemic (infoveillance) using digital technologies. Keywords: COVID-19 Infodemic, Infoveilance, Vaccine Hesitancy Model, Social Media. Software Digital technologies.