Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …

Background Air pollutants are suggested to be related to type 2 diabetes (T2D). Since
several high quality papers on air pollutants and T2D have been published beyond the last …

本文基于1998--2012 年中国省域PM2. 5 浓度数据, 采用动态空间面板模型和系统广义矩估计
方法, 在同时考虑雾霾污染的时间滞后效应, 空间滞后效应和时空滞后效应的条件下 …

Exposure to outdoor fine particulate matter (PM2. 5) is a leading risk factor for mortality. We
develop global estimates of annual PM2. 5 concentrations and trends for 1998–2018 using …

Based on the rapid spread of the CoViD-2019, a lockdown was declared in the whole
Northern Italy by the Government. The application of increasingly rigorous containment …

In order to control the spread of COVID-19, social distancing measures were implemented in
many countries. This study investigated changes in air pollution during the social distancing …

Background Machine learning algorithms have very high predictive ability. However, no
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …

Estimating the health burden of air pollution against the background of population aging is of
great significance for achieving the Sustainable Development Goal 3.9 which aims to …

Background PM 2· 5 air pollution is associated with increased risk of diabetes; however, a
knowledge gap exists to further define and quantify the burden of diabetes attributable to PM …

With the rapid development of the digital economy, understanding the relationship between
the digital economy and the environment is increasingly important for sustainable …