Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers.
Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy among Healthcare Workers.
复制标题
DOI：
10.1109/bigdata55660.2022.10020853
复制
发表时间：
2022-12-01
期刊：
影响因子：
--
通讯作者：
Luo, Jiebo
中科院分区：
文献类型：
--
作者：
Ahamed, Sajid Hussain Rafi;Shakil, Shahid;Luo, Jiebo
医护人员，如医生和护士，应该是疫苗相关信息的可靠来源。他们对COVID-19疫苗的看法可能会影响普通人群的疫苗接种。然而，疫苗犹豫仍然是一个重要的问题，即使在医疗保健工作者。因此，了解他们的意见至关重要，有助于减少疫苗犹豫的程度。有研究使用问卷调查了医护人员对COVID-19疫苗的看法。据报告，与医生相比，护士对接种疫苗犹豫不决的比例要高得多。我们打算使用社交媒体数据在更大规模和更细粒度上验证和研究这种现象，研究人员已有效且高效地利用这些数据来解决COVID-19大流行期间的现实问题。更具体地说，我们使用关键字搜索来识别医护人员，并根据相应Twitter用户的个人资料描述将他们进一步分类为医生和护士。此外，我们应用基于transformer的语言模型来删除不相关的推文。采用情感分析和主题建模的方法，分析和比较医生和护士在推文中的情感和主题差异。我们发现医生对COVID-19疫苗的态度总体上更为积极。医生和护士在消极地讨论疫苗时的重点一般是不同的。医生更关心疫苗的有效性，而护士更关注疫苗对儿童的潜在副作用。因此，我们建议，在与不同群体的医护人员沟通时，应部署更多的定制策略。
Healthcare workers such as doctors and nurses are expected to be trustworthy and creditable sources of vaccine-related information. Their opinions toward the COVID-19 vaccines may influence the vaccine uptake among the general population. However, vaccine hesitancy is still an important issue even among the healthcare workers. Therefore, it is critical to understand their opinions to help reduce the level of vaccine hesitancy. There have been studies examining healthcare workers' viewpoints on COVID-19 vaccines using questionnaires. Reportedly, a considerably higher proportion of vaccine hesitancy is observed among nurses, compared to doctors. We intend to verify and study this phenomenon at a much larger scale and in fine grain using social media data, which has been effectively and efficiently leveraged by researchers to address real-world issues during the COVID-19 pandemic. More specifically, we use a keyword search to identify healthcare workers and further classify them into doctors and nurses from the profile descriptions of the corresponding Twitter users. Moreover, we apply a transformer-based language model to remove irrelevant tweets. Sentiment analysis and topic modeling are employed to analyze and compare the sentiment and thematic differences in the tweets posted by doctors and nurses. We find that doctors are overall more positive toward the COVID-19 vaccines. The focuses of doctors and nurses when they discuss vaccines in a negative way are in general different. Doctors are more concerned with the effectiveness of the vaccines over newer variants while nurses pay more attention to the potential side effects on children. Therefore, we suggest that more customized strategies should be deployed when communicating with different groups of healthcare workers.