Trends in Philadelphia Asthma Encounters and Pollution During the COVID-19 Pandemic

A. Diwadkar, K. Taquechel, S. Sayed, J. Dudley, R. Grundmeier, C. Kenyon, S. Henrickson, D. A. Hill, B. Himes
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Abstract

Rationale: The COVID-19 pandemic dramatically changed daily routines as well as healthcare utilization and delivery patterns in the United States. We sought to identify changes in pediatric asthma-related healthcare utilization and levels of air pollution i.e. particulate matter (PM2.5, PM10) and gaseous chemicals (NO2, O3) during the COVID-19 pandemic in Philadelphia. We hypothesized that declining utilization of asthma care and changed pollution levels during the early stages of the pandemic rebounded after the relaxation of COVID-19-related public health measures. Methods: For the time period Mar 17 to Dec 17 during the years 2015-2020, asthmarelated encounters and weekly summaries of respiratory viral testing data were extracted from Children's Hospital of Philadelphia (CHOP) electronic health records. Daily average estimates of PM2.5, PM10, O3, and NO2 for the same time period were obtained from AirData, an EPA resource that provides quality-assured summary air pollution measures collected from outdoor regulatory monitors across the United States. Patterns in encounter characteristics and viral testing in Philadelphia from Mar 17 to Dec 17, 2020, were compared to data from 2015-2019 as a historical reference. Encounter pattern results were summarized as percentage changes. Controlled interrupted time series regression models were created to identify statistically significant differences in pollution levels that differed in 2020 compared with historical time periods. Results: We present data on asthma encounters, viral testing, and air pollution from Mar 2020 through Dec 2020. Contrary to the early stages of the pandemic when in-person asthma encounters decreased by 87% (outpatient) and 84% (emergency + inpatient), asthma-related encounters rebounded with the relaxation of COVID-19-related public health measures. During the initial months of the pandemic, the daily average of PM2.5, PM10, and NO2 levels decreased by 29.0% (2.17 μg/m3), 18.2% (3.13 μg/m3), and 44.1% (6.75 ppb), respectively, whereas ozone levels increased by 43.4% (10.08 ppb), changes that were not statistically significantly different compared to historical trends. Levels of all pollutants considered remained similar during subsequent 2020 months compared to the 2015-2019 reference period. Conclusion: The COVID-19 pandemic in Philadelphia was accompanied by initial decreases in pediatric asthma healthcare activity. Concurrent with the relaxation of COVID-19-related public health measures, there was a subsequent increase in asthma healthcare activity. No substantial change in air pollution levels compared with historical patterns was observed during the time period considered, suggesting that other factors influenced changes in asthma trends during the COVID-19 pandemic.
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2019冠状病毒病大流行期间费城哮喘发病和污染趋势
理由:COVID-19大流行极大地改变了美国的日常生活以及医疗保健的利用和提供模式。我们试图确定费城COVID-19大流行期间儿童哮喘相关医疗保健利用和空气污染水平的变化,即颗粒物(PM2.5、PM10)和气态化学物质(NO2、O3)。我们假设,在covid -19相关公共卫生措施放松后,大流行早期哮喘治疗利用率下降和污染水平变化出现反弹。方法:从2015-2020年3月17日至12月17日期间,提取费城儿童医院(CHOP)电子健康记录中与哮喘相关的就诊情况和每周呼吸道病毒检测数据汇总。同一时间段内PM2.5、PM10、O3和NO2的日平均估计值来自美国环保署的一项资源AirData,该资源提供了从美国各地的户外监管监测器收集的有质量保证的空气污染汇总数据。将费城2020年3月17日至12月17日的遭遇特征和病毒检测模式与2015-2019年的数据进行比较,作为历史参考。遭遇战模式的结果被总结为百分比变化。创建了受控中断时间序列回归模型,以确定2020年不同于历史时间段的污染水平在统计上的显著差异。结果:我们提供了2020年3月至2020年12月期间哮喘发病、病毒检测和空气污染的数据。在大流行的早期阶段,现场哮喘病例减少了87%(门诊)和84%(急诊+住院),与此相反,随着与covid -19相关的公共卫生措施的放松,哮喘相关病例出现反弹。在大流行的最初几个月,PM2.5、PM10和NO2的日平均值分别下降了29.0% (2.17 μg/m3)、18.2% (3.13 μg/m3)和44.1% (6.75 ppb),而臭氧水平上升了43.4% (10.08 ppb),与历史趋势相比,变化无统计学差异。与2015-2019参考期相比,2020年之后的几个月里,所有污染物的水平都保持相似。结论:费城新冠肺炎大流行初期伴随着儿童哮喘保健活动的减少。在放松与covid -19相关的公共卫生措施的同时,哮喘保健活动随之增加。在考虑的时间段内,与历史模式相比,没有观察到空气污染水平的实质性变化,这表明在COVID-19大流行期间,其他因素影响了哮喘趋势的变化。
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