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Updated: Jun 28, 2025

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探索数据源和数学方法来估计人类流动率以及理解COVID-19动态的影响:一个系统的文献审查
Yogesh Bali1, Vijay Pal Bajiya1, Jai Prakash Tripathi2
1Department of Mathematics, Central University of Rajasthan, Kishangarh, Ajmer, 305817, India.
Journal of mathematical biology
|April 19, 2024
概括
人类的流动性显著影响了COVID-19的传播. 这项研究审查了手机和交通等数据来源,以了解移动趋势及其与健康决定因素的联系,并建议改进数据和协作.
科学领域:
- 流行病学和公共卫生.
- 数据科学和分析数据科学和分析
- 社会学和人类地理学
背景情况:
- 人类的流动性是影响COVID-19等传染病传播和动态的关键因素.
- 流动模式是复杂的,受各种因素的影响,包括公共卫生措施,社会经济条件和个人行为.
- 准确估计人类运动对于了解疾病传播和为公共卫生干预提供信息至关重要.
结论:
- 强调需要采取平衡的方法,整合传统和新型的移动数据参数.
- 建议提高移动数据源的准确性和适用性,以获得更好的洞察力.
- 强调跨学科合作的重要性,以推进基于运动的疾病动态研究.
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