We calculated carbon emissions associated with air travel of 4,834 participants at the 2019 annual conference of the American Society of Tropical Medicine and Hygiene (ASTMH). Together, participants traveled a total of 27.7 million miles or 44.6 million kilometers. This equates to 58 return trips to the moon. Estimated carbon dioxide equivalent (COe) emissions were 8,646 metric tons or the total weekly carbon footprint of approximately 9,366 average American households. These emissions contribute to climate change and thus may exacerbate many of the global diseases that conference attendees seek to combat. Options to reduce conference travel-associated emissions include 1) alternating in-person and online conferences, 2) offering a hybrid in-person/online conference, and 3) decentralizing the conference with multiple conference venues. Decentralized ASTMH conferences may allow for up to 64% reduction in travel distance and 58% reduction in COe emissions. Given the urgency of the climate crisis and the clear association between global warming and global health, ways to reduce carbon emissions should be considered.
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http://dx.doi.org/10.4269/ajtmh.20-1013 | DOI Listing |
Nat Rev Urol
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Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute, New Brunswick, NJ, USA.
Urological diseases and their varied forms of management warrant special attention in the setting of climate change. Regarding urological cancers, climate change will probably increase the incidence and severity of cancer diagnoses through exposures to certain environmental risk factors, while simultaneously disrupting cancer care delivery and downstream outcomes. Regarding benign urological diseases, a burgeoning body of work exists on climate-related heat waves, dehydration, urolithiasis, renal injury and infectious and vector-borne diseases.
View Article and Find Full Text PDFSci Rep
January 2025
Business School, Hebei University of Economics and Business, Shijiazhuang, 050062, China.
The development and implementation of county carbon control action plans in the Yellow River Basin (YRB) are crucial for realizing the "dual carbon" goals and modernizing national governance. Utilizing remote sensing data from 2001 to 2020, this study constructs a light-carbon conversion model and a carbon footprint model to simulate the carbon footprint of county energy consumption in the YRB. Employing spatial autocorrelation and spatial Durbin models, the study examines the temporal-spatial evolution characteristics and spatial effect mechanism.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences & Biotechnology, and Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai, 200240, China.
Light-driven CO biovalorization offers a promising route for coupling carbon mitigation with petrochemical replacement. Synthetic phototrophic communities that mimic lichens can reduce the metabolic burden with improved CO utilization. However, inefficient channeling of carbon and energy between species seriously hinders the collaborative CO-to-molecule route.
View Article and Find Full Text PDFPlant J
January 2025
Systems Biotechnology Group, Department Microbial Biotechnology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, 04318, Germany.
Biophotovoltaics offers a promising low-carbon footprint approach to utilize solar energy. It aims to couple natural oxygenic photosynthetic electrons to an external electron sink. This lays the foundation for a potentially high light-to-energy efficiency of the Biophotovoltaic process.
View Article and Find Full Text PDFHeliyon
January 2025
Research Center, Future University in Egypt, New Cairo, 11835, Egypt.
Climate change impacts the demand of the construction industry to reduce its carbon footprint while increasing the resilience of the buildings. This twofold need emphasises better understanding and cost prediction of green resilient buildings based on their 'resilience' and 'sustainability', which is very limited or based on obsolete perceptions and stereotypes. This study presents a novel index to predict the cost of converting a conventional building to a green-resilient building.
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