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A scoping review and thematic analysis of the effects of tropical cyclones on diarrheal diseases.
Environ Epidemiol
February 2025
Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: Tropical cyclones pose significant health risks and can trigger outbreaks of diarrheal diseases in affected populations. Although the effects of individual hazards, such as rainfall and flooding, on diarrheal diseases are well-documented, the complex multihazard nature of tropical cyclones is less thoroughly explored. To date, no dedicated review comprehensively examines the current evidence and research on the association between tropical cyclones and diarrheal diseases.
View Article and Find Full Text PDFMachine Learning Assessment of Dredging Impacts on the Phytoplankton Community on the Brazilian Equatorial Margin: A Multivariate Analysis.
Environ Pollut
January 2025
Federal Institute of Maranhão, Campus Barreirinhas, Rodovia MA-225, KM 04, CEP:65590-000, Barreirinhas, Maranhão, Brazil.
Dredging in estuarine systems significantly impacts phytoplankton communities, with suspended particulate matter (SPM) and dissolved aluminum (Al) serving as indicators of disturbance intensity. This study assessed the effects of dredging in the São Marcos Estuarine Complex (SMEC), Brazil, over three distinct events (2015, 2017, 2020), involving varying sediment volumes and climatic influences. Prolonged dredging operations and increased sediment volumes led to a pronounced 43.
View Article and Find Full Text PDFIntegrating climate and physical constraints into assessments of net capture from direct air capture facilities.
Proc Natl Acad Sci U S A
January 2025
Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada.
Limiting climate change to targets enshrined in the Paris Agreement will require both deep decarbonization of the energy system and the deployment of carbon dioxide removal at potentially large scale (gigatons of annual removal). Nations are pursuing direct air capture to compensate for inertia in the expansion of low-carbon energy systems, decarbonize hard-to-abate sectors, and address legacy emissions. Global assessments of this technology have failed to integrate factors that affect net capture and removal cost, including ambient conditions like temperature and humidity, as well as emission factors of electricity and natural gas systems.
View Article and Find Full Text PDFEnhancing air quality predictions in Chile: Integrating ARIMA and Artificial Neural Network models for Quintero and Coyhaique cities.
PLoS One
January 2025
Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study, with the primary objective being the construction of predictive models for sulfur dioxide (SO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10).
View Article and Find Full Text PDFStudying attention to IPCC climate change maps with mobile eye-tracking.
PLoS One
January 2025
Faculty of Philosophy, Philosophy of Science and the Study of Religion, Ludwig Maximilian University of Munich, München, Germany.
Many visualisations used in the climate communication field aim to present the scientific models of climate change to the public. However, relatively little research has been conducted on how such data are visually processed, particularly from a behavioural science perspective. This study examines trends in visual attention to climate change predictions in world maps using mobile eye-tracking while participants engage with the visualisations.
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