Air pollution and mobility patterns in two Ugandan cities during COVID-19 mobility restrictions suggest the validity of air quality data as a measure for human mobility.
Air pollution and mobility patterns in two Ugandan cities during COVID-19 mobility restrictions suggest the validity of air quality data as a measure for human mobility.
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DOI：
10.1007/s11356-022-24605-1
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发表时间：
2023-03
影响因子：
5.8
通讯作者：
Jjingo, Daudi
中科院分区：
文献类型：
--
作者：
Galiwango, Ronald;Bainomugisha, Engineer;Kivunike, Florence;Kateete, David Patrick;Jjingo, Daudi
我们探讨了在乌干达人口最多的两个城市中使用空气质量作为手机汇总位置数据的替代方案的可行性。我们访问了 2020 年 2 月 15 日至 2021 年 6 月 10 日期间收集的空气质量和 Google 出行数据，并通过在 COVID-19 封锁期间实施的出行限制来增强这些数据。我们确定空气质量数据在封锁之前、期间和之后是否描绘了与流动性数据相似的模式，并通过计算皮尔逊相关系数 ()、使用相关置信区间 (CI) 进行多变量回归并使用散点图可视化关系来确定空气质量和流动性之间的关联。住宅流动性随着限制的严格而增加，而非住宅流动性和空气污染随着限制的严格而减少。在坎帕拉，PM2.5 与非住宅流动性呈正相关，与住宅流动性呈负相关。在 Wakiso，只有 PM2.5 与工作和居住场所流动之间的相关性具有统计显着性。在控制严格的限制后，坎帕拉的空气质量与零售和娱乐活动（− 0.55; 95% CI = − 1.01– − 0.10）、公园（0.29; 95% CI = 0.03–0.54）、公交站（0.29; 95%）独立相关CI = 0.16–0.42）、工作场所（− 0.25；95% CI = − 0.43– − 0.08）和居住地（− 1.02；95% CI = − 1.4– − 0.64）。对于 Wakiso，只有空气质量和居住流动性之间的相关性具有统计显着性（− 0.99；95% CI = − 1.34– − 0.65）。这些发现表明空气质量与流动性有关，因此公共卫生项目可以利用空气质量来监测流动模式和传染病的传播，而不会损害个人隐私。在线版本包含可在 10.1007/s11356-022-24605-1 获取的补充材料。
We explored the viability of using air quality as an alternative to aggregated location data from mobile phones in the two most populated cities in Uganda. We accessed air quality and Google mobility data collected from 15th February 2020 to 10th June 2021 and augmented them with mobility restrictions implemented during the COVID-19 lockdown. We determined whether air quality data depicted similar patterns to mobility data before, during, and after the lockdown and determined associations between air quality and mobility by computing Pearson correlation coefficients (), conducting multivariable regression with associated confidence intervals (CIs), and visualized the relationships using scatter plots. Residential mobility increased with the stringency of restrictions while both non-residential mobility and air pollution decreased with the stringency of restrictions. In Kampala, PM2.5 was positively correlated with non-residential mobility and negatively correlated with residential mobility. Only correlations between PM2.5 and movement in work and residential places were statistically significant in Wakiso. After controlling for stringency in restrictions, air quality in Kampala was independently correlated with movement in retail and recreation (− 0.55; 95% CI = − 1.01– − 0.10), parks (0.29; 95% CI = 0.03–0.54), transit stations (0.29; 95% CI = 0.16–0.42), work (− 0.25; 95% CI = − 0.43– − 0.08), and residential places (− 1.02; 95% CI = − 1.4– − 0.64). For Wakiso, only the correlation between air quality and residential mobility was statistically significant (− 0.99; 95% CI = − 1.34– − 0.65). These findings suggest that air quality is linked to mobility and thus could be used by public health programs in monitoring movement patterns and the spread of infectious diseases without compromising on individuals’ privacy. The online version contains supplementary material available at 10.1007/s11356-022-24605-1.
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DOI：
10.1016/j.cities.2021.103308
发表时间：
2021-10
期刊：
Cities (London, England)
影响因子：
--
作者：
Bar S;Parida BR;Mandal SP;Pandey AC;Kumar N;Mishra B
通讯作者：
Mishra B
COVID-19 爆发期间中国颗粒物空气污染（PM(2.5) 和 PM(10)）的分布模式如何变化：中国城市级别的时空调查。
DOI：
10.3390/ijerph17176274
发表时间：
2020-08-28
影响因子：
--
作者：
Fan Z;Zhan Q;Yang C;Liu H;Zhan M
通讯作者：
Zhan M
影响因子：
5.2
作者：
Hernández-Paniagua IY;Valdez SI;Almanza V;Rivera-Cárdenas C;Grutter M;Stremme W;García-Reynoso A;Ruiz-Suárez LG
通讯作者：
Ruiz-Suárez LG
影响因子：
2.8
作者：
Marinello S;Butturi MA;Gamberini R
通讯作者：
Gamberini R
影响因子：
56.3
作者：
Badr, Hamada S.;Du, Hongru;Gardner, Lauren M.
通讯作者：
Gardner, Lauren M.