Background: In 2014, wildfires ignited a coal mine in Australia, burning for 6 weeks, releasing large amounts of fine particulate matter ≤2.5 μm in diameter (PM). We investigated the association between individual PM exposure and emergency department presentations (EDPs) within 5 years post-fire.
Methods: Survey and exposure data for 2725 residents from an exposed and unexposed town were linked with ED administrative data from 2009 to 2019. The association between individual PM and EDPs was assessed using recurrent survival analysis.
Results: A 10 μg/m increase in PM was associated with a 10% increase in respiratory EDPs (HR = 1.10; 95%CI:1.00-1.22) over 5 years post-fire. Increased risks of EDPs for ischaemic heart disease (HR = 1.39; 95%CI:1.12-1.73), atherothrombotic disease (HR = 1.27; 95%CI:1.08-1.50), and cardiovascular disease (HR = 1.10, 95%CI:0.99-1.22) were evident within 2.5 years.
Conclusion: PM exposure from a 6-week mine fire increased the 5-year risk of respiratory conditions. An increased risk of CVD within 2.5 years post-fire subsided after this time.
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http://dx.doi.org/10.1016/j.envres.2023.115440 | DOI Listing |
Sci Rep
January 2025
School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
The ore mining sites commonly experience slope instability, which is causing concern for the workers' safety and the operation's stability. Considering the Ziluoyi iron ore mining site as a case study, uniaxial compression strength and shear tests are performed on the lower disk peripheral rock, ore body, and upper disk peripheral rock, leading to the extraction of compressive strength and elastic modulus (lower disk: 77.7 MPa-9.
View Article and Find Full Text PDFJ Mol Model
January 2025
School of Chemical and Environmental Engineering, China University of Mining and Technology-Beijing, Haidian District, Ding No.11 Xueyuan Road, Beijing, 100083, People's Republic of China.
Context: Understanding the structural characteristics of coal at the molecular level is fundamental for its effective utilization. To explore the molecular structure characteristic, the long-flame coal from Daliuta (DLT), coking coal from Yaoqiao (YQ), and anthracite from Taixi (TX) were investigated using various techniques such as elemental analysis, Fourier transform infrared spectroscopy, solid-state C nuclear magnetic resonance spectroscopy, and X-ray photoelectron spectroscopy. Based on the structural parameters, the coal molecular model was constructed and optimized.
View Article and Find Full Text PDFHeliyon
January 2025
School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China.
Dynamic functional connectivity (DFC) has shown promise in the diagnosis of Autism Spectrum Disorder (ASD). However, extracting highly discriminative information from the complex DFC matrix remains a challenging task. In this paper, we propose an ASD classification framework PSA-FCN which is based on time-aligned DFC and Prob-Sparse Self-Attention to address this problem.
View Article and Find Full Text PDFChina CDC Wkly
December 2024
National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
What Is Already Known About This Topic?: Lower extremity musculoskeletal diseases (LE-MSDs) have emerged as a significant contributor to the global disease economic burden and worker absenteeism, becoming a global public health concern. However, the epidemic characteristics of LE-MSDs among occupational populations in China are unknown.
What Is Added By This Report?: This report finds that the LE-MSDs prevalence rate among key occupational groups in China is 17.
China CDC Wkly
December 2024
Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
Pneumoconiosis is the occupational disease with the highest proportion in China. This study conducted a retrospective analysis of 5,791 deceased pneumoconiosis patients. In this study, males comprised 93.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!