15 research outputs found

    Particulate air pollution and hospitalization for asthma

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    Age-specific quarterly asthmatic hospital discharge rates in Hong Kong during 1983 to 1989 were examined in relation to mean levels of six pollutants: sulfur dioxide (SO2), ozone (O3), total suspended particles (TSP), respiratory suspended particles (RSP), nitrogen dioxide (NO2), and nitrogen oxides (NO(x)). Discharges from the hospital of children under 14 years of age represented 56% of 33,952 discharges recorded in all age groups. Trends of adult hospitalization rates over time remained stable during the study period. In children, however, there was an increase in these rates, particularly marked in the age group of 1 to 4 years. Univariate analysis revealed a strong correlation between quarterly mean TSP and hospital discharge rate for the 1 to 4-year-old children (r = .62, P < .001). In the 5 to 14-year-old age group, there was an inverse relationship between hospital discharge rate and sulfur dioxide level (r = -.38, P < .05). Stepwise multiple regression analysis, controlling for confounding variables (seasonal and annual trends of asthma hospitalizations) confirmed these relationships. A highly significant linear regression equation was derived between hospitalization rate for ages 1 to 4 years and total suspended particles (P < .001). The highly significant correlation between pollution and asthmatic hospitalization rate for the 1 to 4-year-old group suggests that young children are vulnerable to the adverse environmental effects of pollution. Auditing these relationships offers a logical basis for approaching control.link_to_subscribed_fulltex

    Worldwide Soundscapes: a synthesis of passive acoustic monitoring across realms

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    Abstract The urgency for remote, reliable, and scalable biodiversity monitoring amidst mounting human pressures on climate and ecosystems has sparked worldwide interest in Passive Acoustic Monitoring (PAM), but there has been no comprehensive overview of its coverage across realms. We present metadata from 358 datasets recorded since 1991 in and above land and water constituting the first global synthesis of sampling coverage across spatial, temporal, and ecological scales. We compiled summary statistics (sampling locations, deployment schedules, focal taxa, and recording parameters) and used eleven case studies to assess trends in biological, anthropogenic, and geophysical sounds. Terrestrial sampling is spatially denser (42 sites/M·km 2 ) than aquatic sampling (0.2 and 1.3 sites/M·km 2 in oceans and freshwater) with only one subterranean dataset. Although diel and lunar cycles are well-covered in all realms, only marine datasets (65%) comprehensively sample all seasons. Across realms, biological sounds show contrasting diel activity, while declining with distance from the equator and anthropogenic activity. PAM can thus inform phenology, macroecology, and conservation studies, but representation can be improved by widening terrestrial taxonomic breadth, expanding coverage in the high seas, and increasing spatio-temporal replication in freshwater habitats. Overall, PAM shows considerable promise to support global biodiversity monitoring efforts
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