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With the increasing availability of the COVID-19 vaccines, vaccination has been rapidly promoted globally as a countermeasure against the spread of COVID-19. In Japan, vaccination was first introduced in February 2021. However, the amount of concern towards vaccination differs between individuals, and topics of concern include adverse reactions and side effects. This study investigated attitudes toward vaccines or vaccination during the COVID-19 pandemic across different Japanese prefectures, using Yahoo! JAPAN search queries. We first defined a vaccine concern index (VCI) by aggregating the search counts of vaccine-related queries from Yahoo! JAPAN users before examining VCI across all Japanese prefectures, accounting for gender and age. Our results demonstrated that VCI tended to be lower in more populated areas, and VCI was higher in their 20s to 40s than older people, especially in female users. Furthermore, there was a significant positive correlation (Spearman's Rank correlation coefficient [Formula: see text] = 0.60, [Formula: see text]) between VCI and prefectural vaccination rate, suggesting that web searching of adverse vaccine reactions may precede actual vaccination. This could reflect the information-seeking behavior of individuals who are accepting of vaccinations.
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http://dx.doi.org/10.1038/s41598-022-18307-4 | DOI Listing |
J Chem Inf Model
September 2025
Data Science and Modelling, Pharmaceutical Sciences, Biopharmaceuticals R&D, AstraZeneca, Pepparedalsleden 1, 431 50 Mölndal, Sweden.
We present Precedent Finder, a cheminformatics search tool for locating relevant reaction information in chemical reaction databases. Precedent Finder is a multiobjective optimization, in that it retrieves Pareto-optimal data points. We choose two different axes of reaction similarity, yield, and date as the initial parameters and present the results for different searches as well as how we use the tool to support the work of synthetic chemists.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
T-cell receptor (TCR) repertoire sequencing allows researchers to analyze millions of TCRs, providing unparalleled precision in understanding immune responses and enabling broad applications. However, existing TCR-related databases are based on a limited number of samples. Here, we present TCRdb2.
View Article and Find Full Text PDFJTCVS Open
August 2025
Department of Cardiothoracic Surgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Background: Social media use among cardiothoracic surgeons has yet to be analyzed. This study aimed to explore how online media utilization by cardiothoracic surgeons differs by subspecialty, sex, geographic region, practice type, level of experience, and training pathway.
Methods: A list of 223 cardiothoracic surgeons was generated by querying the 1066 members of the American Association for Thoracic Surgery and randomly selecting 223 actively practicing surgeons.
BMJ Oncol
August 2025
Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada.
Background: The advent of artificial intelligence (AI) tools in oncology to support clinical decision-making, reduce physician workload and automate workflow inefficiencies yields both great promise and caution. To generate high-quality evidence on the safety and efficacy of AI interventions, randomised controlled trials (RCTs) remain the gold standard. However, the completeness and quality of reporting among AI trials in oncology remains unknown.
View Article and Find Full Text PDFAJOG Glob Rep
August 2025
Department of Obstetrics, Gynecology & Women's Health, University of Hawaii, Honolulu, HI (Kho).
Background: Within public online forums, patients often seek reassurance and guidance from the community regarding postoperative symptoms and expectations, and when to seek medical assistance. Others are using artificial intelligence in the form of online search engines or chatbots such as ChatGPT or Perplexity. Artificial intelligence chatbot assistants have been growing in popularity; however, clinicians may be hesitant to use them because of concerns about accuracy.
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