从疫情到人工智能:对病毒流行病学,诊断,治疗,疫苗接种和深度学习应用的全面审查
Shahed Ahmadi1, Mahdi Amirzadeh1, Mousa Ahmadi2
1Department of Clinical Pharmacy, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Journal of tropical medicine
|January 7, 2025
概括
本综述综合了麻疹 (MPOX) 的知识,强调了需要综合公共卫生策略和人工智能工具,以有效诊断,治疗和管理这种严重的ds-DNA病毒的爆发.
科学领域:
- 病毒学和流行病学.
- 传染病控制和控制传染病
背景情况:
- 在COVID-19流行病后,人们对病毒传播的担忧日益增加.
- 全球卫生紧急情况宣布为麻疹 (MPOX) 类2 (2022) 和类1b (2024).
- 类1bMPOX与更严重和致命的疾病有关.
研究的目的:
- 为决策者,临床医生和研究人员综合当前的MPOX知识.
- 为诊断,治疗,疫苗接种和疫情管理策略的发展提供信息.
- 在MPOX控制中探索人工智能 (AI) 的应用.
主要方法:
- 科学文献的系统审查.
- 搜索重点是MPOX流行病学,病毒学,临床特征,传播,药物,疫苗和AI应用.
- 分析现有数据和新兴的人工智能工具.
主要成果:
- MPOX是一种d-DNA病毒,会引起类似天花的病变.
- 德科维里马特是严重MPOX的关键治疗方法,特别是在免疫受损的个体中.
- 小天花疫苗提供交叉保护;人工智能有助于快速诊断和治疗决策.
结论:
- 有效的MPOX疫情管理需要将传统的公共卫生与现代AI相结合.
- 强有力的公共卫生政策和有针对性的干预措施至关重要.
- 对人工智能在传染病控制中的作用的持续研究是必不可少的.
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