在英国使用国际监测数据和机器学习预测气候相关的非结核菌菌 (NTM) 感染
Amy Marie Campbell1, Katy Willis1, Edward Parsons1
1Global Assessment and Emerging Hazards Division, UK Health Security Agency, London, United Kingdom.
PLOS global public health
|August 19, 2024
概括
气候变化,包括气温上升和暴雨,预计在未来十年内,英国非结核菌菌 (NTM) 感染率将增加6.2%. 加强监测对于预测这些与气候有关的健康影响至关重要.
科学领域:
- 环境微生物学环境微生物学
- 气候变化和健康问题
- 传染病流行病学 传染病流行病学
背景情况:
- 非结核菌 (NTM) 导致严重的皮肤和肺部感染,死亡率高.
- NTM感染对抗生素和水处理具有耐药性,这给公共卫生带来了挑战.
- 环境条件影响NTM的流行,气候变化可能会增加水库适用性和人类暴露.
研究的目的:
- 根据未来的气候变化情景,评估英国NTM感染的预计负担.
- 调查气候变量与国际NTM监测数据之间的关系.
- 预测由于气候变化而导致英国NTM感染率的潜在增加.
主要方法:
- 分析与气候变量 (温度,降水) 相关联的国际NTM监测数据.
- 开发和应用一个监督学习随机森林回归模型.
- 在英国使用气候变化模型预测NTM感染率.
主要成果:
- 发现了NTM感染与降水和温度增加之间具有统计学意义的积极关联,这些关联在具有可报告NTM数据的地区存在.
- 一个随机森林模型预测未来10年英国NTM感染率将增加6.2%.
- 预计NTM感染的增加显示了英国内部显著的区域差异.
结论:
- 预计英国的气候变化影响,如气温上升和暴雨增加,预计将提高NTM感染率.
- 强大的未来监测对于改善气候相关NTM趋势的预测模型至关重要.
- 这项研究突出了气候变化对英国公共卫生影响的新维度.
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