School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China.
Front Public Health. 2022 Apr 14;10:830933. doi: 10.3389/fpubh.2022.830933. eCollection 2022.
COVID-19 pandemic is fueling digital health transformation-accelerating innovations of digital health services, surveillance, and interventions, whereas hastening social contagion of deliberate infodemic. The USA and many other countries are experiencing a resurgent wave of the COVID-19 pandemic with vaccination rate slowdown, making policymaking fraught with challenges. Political leaders and scientists have publicly warned of a "pandemic of the unvaccinated," reinforcing their calls for citizens to get jabs. However, some scientists accused elites of stigmatizing the unvaccinated people and undermining the moral pillars of public health. Following the PRISMA-ScR guidelines, we first reviewed the nuances of stakeholders involved in the ongoing debates and revealed the potential consequences of divisive pronouncements to provide perspectives to reframe extensible discussions. Then, we employed the convergent cross mapping (CCM) model to reveal the uncharted knock-on effects of the contentious tsunami in a stakeholders-oriented policymaking framework, coupled with rich metadata from the GDELT project and Google Trends. Our experimental findings suggest that current news coverage may shape the mindsets of the vaccines against the unvaccinated, thereby exacerbating the risk of dualistic antagonism in algorithmically infused societies. Finally, we briefly summarized how open debates are conducive to increasing vaccination rates and bolstering the outcomes of impending policies for pandemic preparedness.
新冠疫情正在推动数字健康转型——加速数字健康服务、监测和干预措施的创新，同时也加速了故意制造虚假信息的“信息疫情”的传播。美国和许多其他国家正在经历新冠疫情的反弹，疫苗接种率放缓，这使得政策制定充满挑战。政治领导人和科学家公开警告称存在“未接种疫苗者的疫情”，这进一步强化了他们呼吁民众接种疫苗的声音。然而，一些科学家指责精英阶层污名化未接种疫苗的人群，并破坏了公共卫生的道德支柱。根据 PRISMA-ScR 指南，我们首先回顾了参与当前辩论的利益相关者的细微差别，并揭示了分裂言论可能带来的潜在后果，以提供重新构建可扩展讨论的视角。然后，我们使用收敛交叉映射（CCM）模型，在以利益相关者为导向的决策框架中揭示有争议的海啸的未知连锁影响，同时结合来自 GDELT 项目和谷歌趋势的丰富元数据。我们的实验结果表明，当前的新闻报道可能会影响人们对疫苗和未接种疫苗者的看法，从而加剧算法驱动社会中二元对立对抗的风险。最后，我们简要总结了公开辩论如何有助于提高疫苗接种率，并为即将到来的大流行防范政策的结果提供支持。
