Background: Carbon-monoxide (CO) poisoning is a substantial cause of preventable mortality. In Turkey, no nationwide data are being collected nowadays. In our study, we aimed to assess the trend in deaths related to CO exposure in all provinces of Turkey in a 10-year period by using the records of a news agency which collects the news from the majority of the national newspapers, local newspapers and television channels.
Methods: In this study, 27,881 news items that were released between January 2008 to December 2017 which included keywords of "poisoning" and "death" or "carbon monoxide" and "death" were evaluated. 2667 non-fire related deaths were used in the final analyses.
Results: In a 10-year period, the risk of CO-related death in Turkey was 0.35/100000. 1371 (51.4%) of the victims were male and the median age of the patients was 45 years (range, 15 days-108 years). Most of the deaths occurred ≥50 years of age. Stoves were the predominant source [n = 2096 (78.6%)]. There was a stagnating trend of CO-related deaths. Most of the incidents occurred in winter. The Middle Anatolian region was of the highest risk in CO-related mortality.
Conclusions: In conclusion, CO poisoning is still a considerable public health concern in Turkey. Results of our study showed that stoves are still frequently being used and are the cause of death especially in rural areas with lower socioeconomic status. A better organized, nationwide surveillance and management approaches are needed to demonstrate the true burden CO related morbidity and mortality as well as its prevention in Turkey.
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http://dx.doi.org/10.1186/s12889-018-6342-4 | DOI Listing |
J Exp Psychol Gen
January 2025
Department of Psychology, University of Southern California.
Does aligning misinformation content with individuals' core moral values facilitate its spread? We investigate this question in three behavioral experiments ( = 615; = 505; ₂ = 533) that examine how the alignment of audience values and misinformation framing affects sharing behavior, in conjunction with analyzing real-world Twitter data ( = 20,235; 809,414 tweets) that explores how aligning the moral values of message senders with misinformation content influences its dissemination in the context of COVID-19 vaccination misinformation. First, we investigate how aligning messages' moral framing with participants' moral values impacts participants' intentions to share true and false news headlines and whether this effect is driven by a lack of analytical thinking. Our results show that framing a post such that it aligns with audiences' moral values leads to increased sharing intentions, independent of headline familiarity, and participants' political ideology but find no effect of analytical thinking.
View Article and Find Full Text PDFAmbio
January 2025
School of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Since May 2024, New Caledonia has faced civil unrest, economic collapse, food insecurity, and social instability, severely disrupting environmental management in this globally significant biodiversity hotspot. The crisis has exacerbated threats to biodiversity from poaching, illegal fishing, deforestation, urban fires, waste pollution, and pet abandonment, while conservation efforts have ground to a halt. Immediate action is needed to address these threats to nature.
View Article and Find Full Text PDFHealth Info Libr J
January 2025
Department of Information Studies, College of Arts and Social Sciences, Sultan Qaboos University (SQU), Muscat, Oman.
Background: The COVID-19 demanded efficient and effective supply of information to the public to help reduce the rate of transmission.
Objectives: This study aims to analyse Omanis' information behaviour during the COVID-19 pandemic, to help national authorities to prepare for future health crises or pandemics.
Methods: A self-administered online survey involving a structured open-ended questionnaire was conducted via the SurveyMonkey software.
Sci Rep
January 2025
Department of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
In the contemporary era, grappling with the vast expanse of big data presents a formidable obstacle, particularly when it comes to extracting vital information from extensive textual sources. The constant influx of news articles from various agencies necessitates an enormous amount of time to digest comprehensively. A viable solution to address this challenge lies in the realm of automatic text summarization, which is a pivotal and intricate endeavor within the field of natural language processing.
View Article and Find Full Text PDFNIH and DOE are first to act, with implementation by all set to begin by end of this year.
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