气象参数对孟加拉国COVID-19传播趋势的影响
1Department of Civil Engineering, Chittagong University of Engineering & Technology (CUET), Raozan, Pahartali, Chattogram, 4349 Bangladesh.
Environmental sustainability (Singapore)
|April 16, 2024
概括
湿度和降雨等气象因素影响了孟加拉国COVID-19的传播. 这项研究使用统计分析和ARIMA模型来预测传播趋势,其中7月显示的病例最多.
科学领域:
- 环境科学 环境科学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 了解气象对传染病传播的影响对于流行病的预测和控制至关重要.
- COVID-19 (冠状病毒疾病2019) 已成为全球健康面临的重大挑战,需要对促成因素进行分析.
研究的目的:
- 调查气象参数 (降雨,温度,湿度,风速) 与孟加拉国COVID-19病例之间的关联.
- 用统计模型长期预测COVID-19传播趋势.
主要方法:
- 来自孟加拉国八个部门的COVID-19病例和气象参数的数据收集 (2020年4月至5月).
- 使用SPSS.应用基本统计分析和自动回归集成移动平均线 (ARIMA) 模型.
- 评估气象变量与COVID-19病例数和传播模式之间的关联.
主要成果:
- 在相对湿度和COVID-19病例之间发现了显著的积极关联 (r=0.24-0.58).
- 温度显示了正和负的相关性 (r=-0.23到0.72).
- 降雨量和风速也与COVID-19病例呈现出积极的相关性.
结论:
- 气象参数显著影响孟加拉国COVID-19传播动态.
- ARIMA模型成功预测了传播趋势,表明7月是病例峰值月,然后稳步下降.
- 这些发现支持将气象数据整合到适应性控制策略中,以管理COVID-19大流行.
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