利用人工智能和数字技术,加强零剂量儿童的常规免疫接种
Shafaq Taseen1, Muhammad Tahir Yousafzai1, Muhammad Fazal Hussain Qureshi2
1Department of Paediatrics and Child Health, Division of Woman and Child Health, The Aga Khan University and Hospital, Karachi, Pakistan.
Digital health
|October 3, 2025
概括
人工智能 (AI) 可以通过识别未接种疫苗的人口并优化疫苗配送,显著提高低收入和中等收入国家儿童免疫率. 人工智能工具有助于打击疫苗犹和减少不平等,旨在到2030年将零剂量儿童数量减少一半.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 数字健康创新 数字健康创新
- 医疗保健中的人工智能
背景情况:
- 零剂量儿童代表着一个关键的全球卫生挑战,特别是在低收入和中等收入国家 (LMICs).
- 对常规免疫接种的限制使得脆弱的儿童容易患上可预防的疾病.
研究的目的:
- 探索人工智能 (AI) 在应对零剂量儿童的挑战方面的潜力.
- 检查人工智能如何增强常规儿童免疫计划.
主要方法:
- 一个叙事综述,综合了关于人工智能,数字健康,疫苗接种和公共卫生信息学的文献.
- 来自主要数据库 (PubMed,Scopus,Google Scholar) 的文献以及来自世卫组织,联合国儿童基金会和Gavi的报告.
主要成果:
- 人工智能可以有效地识别零剂量人群,并通过数字健康护照和预测分析等工具优化疫苗接种.
- 人工智能驱动的沟通策略和地理信息系统 (GIS) 打击疫苗犹,改善对服务不足地区的宣传.
- 挑战包括人工智能实施中的数据质量,可扩展性和伦理考虑.
结论:
- 人工智能为识别未接种疫苗的人口提供了强大的解决方案,并加强了免疫计划中的数据驱动决策.
- 有针对性的人工智能利用可以显著减少对疫苗的怀疑,并改善全球免疫覆盖率.
- 该论文倡导战略AI实施,到2030年将零剂量儿童的数量减少50%.
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