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热带病毒传播预测受到哥伦比亚各城市温度数据源和建模方法的影响
Víctor Hugo Peña-García1, Jeffrey C Luvall2, Rebecca C Christofferson3
1Programa de Estudio y Control de Enfermedades Tropicales (PECET), Universidad de Antioquia, Medellín 50010, Colombia.
Microorganisms
|June 15, 2023
概括
宏观级气象站的温度可能不会准确地反映影响树冠病毒传播的室内条件. 建模方法,而不是温度数据源,更频繁地影响了传输预测.
科学领域:
- 环境科学环境科学
- 流行病学 流行病学
- 载体传播疾病 载体传播疾病
背景情况:
- 天气变量显著影响载体的扩散和树冠病毒的传播.
- 温度是 arbovirus 传播动态的一个关键因素,模型通常包含宏观级数据.
- 越来越多的证据凸显了微环境温度对于Aedes aegypti传播的病毒在家庭内传播的重要性.
研究的目的:
- 为了比较微环境 (室内/室外家庭) 温度与宏观水平 (气象站) 温度.
- 调查不同温度数据源对树冠病毒传播预测的影响.
- 评估建模方法与温度数据源对传输预测的影响.
主要方法:
- 收集了哥伦比亚三个城市的室内,室外和气象站温度的现场数据.
- 使用三个不同的建模方法计算了 arboviruses 的基本繁殖数 (R0).
- 分析了微观和宏观层次温度测量之间的关系及其对R0估计的影响.
主要成果:
- 气象站的温度数据并不总是代表室内微环境温度.
- 选择的建模方法对传输预测的影响比使用的温度数据源的影响更大.
- 在所有场景中,关于特定数据源或建模技术的优越性,没有出现一致的模式.
结论:
- 温度数据源和建模方法对于准确的树冠病毒传播预测至关重要.
- 需要进一步的研究,以了解温度测量尺度,建模方法和树冠病毒传播动态之间的复杂相互作用.
- 微观和宏观水平的温度数据之间的差异凸显了在公共卫生监测中需要精细的建模策略的需要.
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