Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistan.
Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Department of Space Science, University of the Punjab, Lahore, Pakistan.
Environ Sci Pollut Res Int. 2021 Oct;28(37):51384-51390. doi: 10.1007/s11356-021-14158-0. Epub 2021 May 13.
Air pollution has become a threat to human health in urban settlements, ultimately leading to negative impacts on overall economic system as well. Already developed nations and still developing countries both are at the risk of air pollution globally. In this scenario, this work aims to investigate the associations of asthma (AS) and acute upper respiratory infection (ARI) patients with satellite-based aerosol optical depth (AOD) and meteorological factors, i.e., relative humidity (RH), temperature (TEMP), and wind speed (WS). We applied second-generation unit root tests to provide empirical evidence. Two sets of unit root tests confirmed mix order of integration, and the other Westerlund co-integration test further showed strong linkages between estimated variables. Fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) tests were applied, only to explore that TEMP and WS lower the number of AS and ARI patients, but RH and AOD increase the number of patients. Therefore, in accordance with these findings, our study provides some important policy instruments to improve the health status in megacities of Pakistan.
空气污染已成为城市居民健康的威胁,最终对整个经济系统也产生了负面影响。已发展国家和仍在发展中的国家在全球范围内都面临着空气污染的风险。在这种情况下,这项工作旨在研究基于卫星的气溶胶光学深度 (AOD) 和气象因素(相对湿度 (RH)、温度 (TEMP) 和风速 (WS))与哮喘 (AS) 和急性上呼吸道感染 (ARI) 患者之间的关联。我们应用了第二代单位根检验来提供经验证据。两组单位根检验证实了混合阶数的整合,而其他的韦斯特朗德协整检验进一步显示了估计变量之间的紧密联系。我们应用了全修正最小二乘法 (FMOLS) 和动态最小二乘法 (DOLS) 检验,仅为了探索 TEMP 和 WS 降低了 AS 和 ARI 患者的数量,而 RH 和 AOD 增加了患者的数量。因此,根据这些发现,我们的研究为改善巴基斯坦特大城市的健康状况提供了一些重要的政策工具。