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Background: Recent increases in wildfire frequency and severity necessitate better understanding of health effects of wildfire smoke to protect affected populations.
Objectives: We examined relationships between fine particulate matter (PM) and morbidity during wildfires in California, and whether those relationships differed during the fire compared to a similar non-fire period.
Methods: For nine San Francisco Bay Area counties, daily county-level diagnosis-specific counts of emergency department visits (EDVs) and hospitalizations were linked with county-level estimates of daily mean PM during the October 2017 Northern California wildfires and similar October days in 2015, 2016, and 2017. Associations were estimated using Poisson regression.
Results: The median difference between county PM during the fire versus the non-fire period was 23.4 μg/m, with days exceeding 80 μg/m in some counties. Over the entire study period, PM was most consistently linked to EDVs for respiratory disease (RR(lag0) per 23.4 μg/m increase: 1.25, 95% CI: 1.21, 1.30), asthma, chronic lower respiratory disease (CLRD; RR(lag0): 1.18, 95% CI: 1.10, 1.27), and acute myocardial infarction (RR(lag0): 1.14, 95% CI: 1.03, 1.25). Increases in acute upper respiratory infections and decreases in mental/behavioral EDVs were observed but were sensitive to model specification, specifically the inclusion of time-related covariates. Comparing fire and non-fire period EDV associations, we observed indications that PM during the fire was more strongly associated with asthma (RR: 1.46, 95% CI: 1.38, 1.55) compared to non-fire period PM (RR: 0.77, 95% CI: 0.55, 1.08) and the opposite observed for dysrhythmia, with the asthma difference being particularly robust to model choice. For hospitalizations, the most robust PM relationships were positive associations with respiratory, CLRD, and diabetes, and inverse associations with pneumonia. Respiratory and CLRD effect estimates were generally similar or smaller than for EDVs.
Conclusions: Elevated short-term PM levels from wildfire smoke appears to impact respiratory and other health domains.
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http://dx.doi.org/10.1016/j.scitotenv.2021.147507 | DOI Listing |
ACS EST Air
February 2025
Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, 27599, USA.
Wildland fire (i.e., prescribed fire and wildfire) smoke exposure is an emerging public health threat, in part due to climate change.
View Article and Find Full Text PDFPublic Health
May 2024
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA; Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, NY, USA; Department of Environmental and Occupational Healt
Objectives: Wildfire air pollution is a growing concern on human health. The study aims to assess the associations between wildfire air pollution and pregnancy outcomes in the Southwestern United States.
Study Design: This was a retrospective cohort study.
Environ Monit Assess
November 2023
Department of Plant and Soil Sciences, University of Pretoria, Pretoria, 0001, South Africa.
Rangelands play a vital role in developing countries' biodiversity conservation and economic growth, since most people depend on rangelands for their livelihood. Aboveground-biomass (AGB) is an ecological indicator of the health and productivity of rangeland and provides an estimate of the amount of carbon stored in the vegetation. Thus, monitoring seasonal AGB is important for understanding and managing rangelands' status and resilience.
View Article and Find Full Text PDFHeliyon
February 2023
Department of Safety Engineering, Chungbuk National University, South Korea.
In Korea, the use of fire-detection systems applying IoT technology to existing analog fire-alarm systems has increased owing to the communication technology convergence, the world's best Internet network, and the proliferation of Internet of Things (IoT). Its use can be expected to increase worldwide in the future. For IoT-based fire-detection systems to exhibit the requisite reliability (based on a low false-alarm rate), research related to the analysis of detection signals should be actively promoted and conducted.
View Article and Find Full Text PDFAnn Emerg Med
March 2023
Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA.
Study Objective: Centers for Disease Control and Prevention conducts case surveillance through the National Notifiable Diseases Surveillance System (NNDSS). This study aimed to provide surveillance report of unintentional carbon monoxide poisoning across multiple data sources to provide baseline data for the new NNDSS carbon monoxide poisoning surveillance.
Methods: For the period 2005 to 2018, we used 4 data sources to describe unintentional carbon monoxide poisoning: exposures reported by poison centers, emergency department (ED) visits, hospitalizations, and deaths.