使用夜间照明和电力消耗数据,估计菲律宾的COVID-19部门经济损失
Ma Flordeliza P Del Castillo1, Toshio Fujimi1,2, Hirokazu Tatano1,2
1Tatano Lab, Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan.
Frontiers in public health
|March 15, 2024
概括
估计流行病造成的经济损失是一项挑战. 这项研究使用了菲律宾的电力消耗和夜间灯光来量化COVID-19封锁的影响,揭示了商业部门的重大损失.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 数据科学数据科学数据科学
背景情况:
- 估计流行病期间的经济损失至关重要,但资源密集.
- 在公共卫生紧急情况下,传统方法面临挑战.
研究的目的:
- 开发一种使用电力消耗 (EC) 和夜间照明 (NTL) 数据估计经济损失的新方法.
- 量化2020-2021年菲律宾COVID-19封锁对经济的影响.
主要方法:
- 利用回归模型将国内生产总值 (GDP) 与EC和NTL联系起来.
- 开发了基于统计和天气的模型来估计反事实EC和NTL.
- 通过比较实际和假 GDP 来计算经济损失.
主要成果:
- 基于EC的模型显示出比NTL模型 (adj-R2 ≥0.663) 的GDP解释能力更高 (adj-R2 ≥0.978).
- 结合EC和NTL提高了预测准确度 (adj-R2 ≥0.979).
- 预计2020年的总经济损失为2.9万亿菲律宾比特币,2021年的总经济损失为3.2万亿菲律宾比特币,商业部门受到严重影响.
结论:
- 欧共体和NTL方法为监测大规模危险期间的经济损失提供了一种可行的方法.
- 研究结果支持有针对性的策略,以平衡流行病期间的公共卫生和经济问题.
关键词:
国内生产总值 (GDP) 国内生产总值 (GDP) 是什么?芬兰-NPP VIIRS DNB DNB 在线商业损失 商业损失经济影响评估 经济影响评估能源消耗 能源消耗是指能源的消耗.工业损失 工业损失 工业损失多重回归的多重回归方法更多相关视频
06:19Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
Published on: December 29, 2021
2.6K
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
10.7K
相关概念视频
01:10Electrical Energy
1.2K
Using electric appliances for a longer period of time consumes more electrical energy and results in a higher electric bill. The energy produced by the transfer of electrons from one point to another is known as electrical energy. If power is delivered at a constant rate, the electrical energy can be defined as the product of power used by the device for a period of time. The energy unit on electric bills is the kilowatt-hour, where one kilowatt-hour is equivalent to 3.6 × 106 joules.
1.2K
01:18Steps in Outbreak Investigation
126
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
126