Anthropogenic emissions and ambient fine particulate matter (PM) concentrations have declined in recent years across China. However, PM exposure remains high, ozone (O) exposure is increasing, and the public health impacts are substantial. We used emulators to explore how emission changes (averaged per sector over all species) have contributed to changes in air quality and public health in China over 2010-2020.
View Article and Find Full Text PDFMachine learning models can emulate chemical transport models, reducing computational costs and enabling more experimentation. We developed emulators to predict annual-mean fine particulate matter (PM) and ozone (O) concentrations and their associated chronic health impacts from changes in five major emission sectors (residential, industrial, land transport, agriculture, and power generation) in China. The emulators predicted 99.
View Article and Find Full Text PDFAir pollution exposure remains a leading public health problem in China. The use of chemical transport models to quantify the impacts of various emission changes on air quality is limited by their large computational demands. Machine learning models can emulate chemical transport models to provide computationally efficient predictions of outputs based on statistical associations with inputs.
View Article and Find Full Text PDFAir pollution exposure is a leading public health problem in China. The majority of the total air pollution disease burden is from fine particulate matter (PM) exposure, with smaller contributions from ozone (O) exposure. Recent emission reductions have reduced PM exposure.
View Article and Find Full Text PDFPurpose: To examine the impact of ethnicity, Spanish language preference, socioeconomic status, and treatment setting on utilization of supportive services before radiotherapy (RT) among head and neck cancer patients and to determine whether a lack of these services is associated with an increased rate of adverse events.
Methods And Materials: Demographic, staging, and treatment details were retrospectively collected for patients treated at a safety-net hospital (n = 56) or adjacent private academic hospital (n = 183) from January 1, 2014, to June 30, 2016. Supportive care services evaluated were limited to speech/swallowing therapy and nutrition therapy.
Otolaryngol Head Neck Surg
September 2018
Objective To examine the impact of treatment setting and demographic factors on oropharyngeal and laryngeal cancer time to treatment initiation (TTI). Study Design Retrospective case series. Setting Safety net hospital and adjacent private academic hospital.
View Article and Find Full Text PDFObjective: (1) To identify outcome measures used in studies of persons with traumatic upper limb injury and/or amputation; and (2) to evaluate focus, content, and psychometric properties of each measure.
Data Sources: Searches of PubMed and CINAHL for terms including upper extremity, function, activities of daily living, outcome assessment, amputation, and traumatic injuries.
Study Selection: Included articles had a sample of ≥10 adults with limb trauma or amputation and were in English.
Background: A Medicare beneficiary's annual outpatient therapy expenditures that exceed congressionally established caps are subject to extra documentation and review requirements. In 2011, these caps were $1,870 for physical therapy and speech-language pathology combined and $1,870 for occupational therapy separately.
Objective: This article considers the distributional effects of replacing current cap policy with equal caps by therapy discipline (physical therapy, occupational therapy, and speech-language pathology) or a single combined cap, and risk adjusting the physical therapy cap using beneficiary characteristics and functional status.