论文标题
检查数字健康的实施,以加强19 COVID-19的大流行反应和恢复,并扩大非洲国家的公平疫苗通道
Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries
论文作者
论文摘要
共同19岁的大流行对世界产生了深远的影响,夺走了超过600万人的生命。因此,这种大流行导致了围绕全球疾病负担的对话的转变,欢迎来自多学科领域的见解,包括数字健康和人工智能。非洲面临着沉重的疾病负担,加剧了当前的19009年大流行,并限制了公共卫生准备,反应,遏制和病例管理的范围。在本文中,我们研究了变革性数字健康技术在减轻非洲国家的全球健康危机中的潜在影响。此外,我们提出了建议扩大数字健康技术和基于人工智能的平台的建议,以解决SARS-COV-2的传输并启用公平的疫苗接种。与大流行有关的挑战很多。快速响应和管理策略(即合同追踪,病例监视,诊断测试强度以及最近的疫苗分配映射)可能会淹没脆弱的医疗保健提供系统。尽管挑战是巨大的,但数字健康技术可以在实现可持续的弹性恢复并更好地建立恢复方面发挥至关重要的作用。非洲国家可以更好地识别,诊断和管理Covid-19,其他疾病,未来爆发和大流行病的人。
The COVID-19 pandemic has profoundly impacted the world, having taken the lives of over 6 million individuals. Accordingly, this pandemic has caused a shift in conversations surrounding the burden of diseases worldwide, welcoming insights from multidisciplinary fields including digital health and artificial intelligence. Africa faces a heavy disease burden that exacerbates the current COVID-19 pandemic and limits the scope of public health preparedness, response, containment, and case management. Herein, we examined the potential impact of transformative digital health technologies in mitigating the global health crisis with reference to African countries. Furthermore, we proposed recommendations for scaling up digital health technologies and artificial intelligence-based platforms to tackle the transmission of the SARS-CoV-2 and enable equitable vaccine access. Challenges related to the pandemic are numerous. Rapid response and management strategies - that is, contract tracing, case surveillance, diagnostic testing intensity, and most recently vaccine distribution mapping - can overwhelm the health care delivery system that is fragile. Although challenges are vast, digital health technologies can play an essential role in achieving sustainable resilient recovery and building back better. It is plausible that African nations are better equipped to rapidly identify, diagnose, and manage infected individuals for COVID-19, other diseases, future outbreaks, and pandemics.