METHODS TO QUANTIFY THE IMPACT OF COVID-19 RESTRICTIONS ON CHANGES IN AIR POLLUTION: A REVIEW OF STATISTICAL METHODS

被引：0

作者：

Scarale, Maria Giovanna ^{[1
]}

Cugnata, Federica ^{[1
]}

Di Serio, Clelia ^{[1
]}

机构：

[1] Univ Vita Salute San Raffaele, Univ Ctr Stat Biomed Sci CUSSB, Milan, Italy

来源：

JP JOURNAL OF BIOSTATISTICS | 2025年 / 25卷 / 01期

关键词：

COVID-19; pandemic; air pollution; WRF V3.9.1.1; QUALITY;

D O I：

10.17654/0973514325002

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The COVID-19 pandemic led to strict measures, such as lockdowns, to control the virus. After the first lockdown, improved air quality was noted due to reduced non-essential activities. However, uncertainty has surrounded the sustainability of this pollution reduction postlockdown, influenced by increased private transport, reduced public transit, and smart-work adoption. Additionally, given the complexity of the phenomenon, there is no consensus on suitable statistical methods for analyzing the relationship between lockdowns and pollution reduction.

引用

页码：17 / 51

页数：35

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