Identifying Determinants of Vaccine Hesitancy from Twitter Data

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Vaccine hesitancy refers to the delay of vaccination despite vaccine availability and recommendations from authorities. Conventional methodologies for assessing public attitudes toward vaccination, such as surveys and interviews, provide valuable but limited insights due to their static nature and inability to reflect real-time sentiment shifts. In comparison, Twitter data provide a broader and more dynamic perspective on public health behavior. Objectives The thesis aims to determine whether mining Twitter data can complement conventional techniques to identify determinants of vaccine hesitancy. Methods To achieve the goal, a scoping review was performed to identify determinants of vaccine hesitancy reported in the literature. A thorough survey to gauge public sentiments towards vaccines in the Middle East and North Africa (MENA) region was lacking. For this reason, the MENA region was surveyed to determine vaccine hesitancy and its determinants. After that, Twitter data were downloaded and analyzed. Topic modeling was performed to identify Twitter topics. Next, the topics were mapped to behavioral models to distinguish determinants of vaccine hesitancy. Lastly, vaccine hesitancy was measured through Twitter user stance analysis. Finally, results obtained from Twitter were compared to the review and survey. Results Scoping review and MENA region survey yielded 19 and 11 determinants of vaccine hesitancy, respectively, while Twitter data mining revealed 25 determinants, many overlapping with conventional methods. Also, the comparative measures of vaccine hesitancy between Twitter data analysis and conventional surveys showed a similar response. For instance, Twitter analysis revealed hesitancy rates of 25.46% in Kuwait and 21.37% in Saudi Arabia, closely mirroring survey findings of 25.6% and 28%.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0384d4b1-5f23-4e17-94d6-bc8d304441b2

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل دكتوراة

نوع الملف

pdf text

أسماء الملفات

0384d4b1-5f23-4e17-94d6-bc8d304441b2_1.pdf

بيانات النشر

ألقاب المؤلفين

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اللغة

English

المصدر والدورية

اسم المصدر

Identifying Determinants of Vaccine Hesitancy from Twitter Data

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Twitter - Vaccine hesitancy - Public attitudes - Data mining - Behavioral models

إشراف وإعداد

الإشراف

Raian Ali, Zubair Shah

الإعداد

Md. Rafiul Biswas

الاقتباسات الببليوغرافية