Source-specific contributions of particulate matter to asthma-related pediatric emergency department utilization

by   Mohammad Alfrad Nobel Bhuiyan, et al.

Few studies have linked specific sources of ambient particulate matter smaller than 2.5 μm (PM2.5) and asthma. In this study, we estimated the contributions of specific sources to PM2.5 and examined their association with daily asthma hospital utilization in Cincinnati, Ohio, USA. We used Poisson regression models to estimate the daily number of asthma ED visits the day of and one, and two days following separate increases in PM2.5 and its source components, adjusting for temporal trends, holidays, temperature, and humidity. In addition, we used a model-based clustering method to group days with similar source-specific contributions into six distinct clusters. Specifically, elevated PM2.5 concentrations occurring on days characterized by low contributions of coal combustion showed a significantly reduced risk of hospital utilization for asthma (rate ratio: 0.86, 95 compared to other clusters. Reducing the contribution of coal combustion to PM2.5 levels could be an effective intervention for reducing asthma-related hospital utilization.



There are no comments yet.


page 12

page 16


Secondary Use of Employee COVID-19 Symptom Reporting as Syndromic Surveillance as an Early Warning Signal of Future Hospitalizations

Importance: Alternative methods for hospital utilization forecasting, es...

Subgroup Identification and Interpretation with Bayesian Nonparametric Models in Health Care Claims Data

Inpatient care is a large share of total health care spending, making an...

Using machine learning techniques to predict hospital admission at the emergency department

Introduction: One of the most important tasks in the Emergency Departmen...

Anti-clustering in the national SARS-CoV-2 daily infection counts

The noise in daily infection counts of an epidemic should be super-Poiss...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.