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Public Health Messaging About Dengue on Facebook in Singapore During the COVID-19 Pandemic: Content Analysis

Public Health Messaging About Dengue on Facebook in Singapore During the COVID-19 Pandemic: Content Analysis

Using the keywords “Dengue,” “dengue,” “Mozzie,” “mozzie,” “mosquito,” “breed,” “wolbachia,” “Wolbachia,” “aedes,” “BLOCK,” “B-L-O-C-K,” “SAW,” “S-A-W,” “#mozziewipeout,” “#Mozziewipeout,” “repellent,” “insecticide,” “vase,” “pails,” “pot,” and “soil,” we crawled Facebook posts of the 5 Singapore governmental institutions. We used the Python Web Crawler to crawl the Facebook posts, starting from January 1, 2020.

Shirley S Ho, Mengxue Ou, Nova Mengxia Huang, Agnes SF Chuah, Vanessa S Ho, Sonny Rosenthal, Hye Kyung Kim

JMIR Form Res 2025;9:e66954

Co-Designed Online Training Program for Worry Management: The Role of Young People With Lived Experience of Worry in Program Development

Co-Designed Online Training Program for Worry Management: The Role of Young People With Lived Experience of Worry in Program Development

JS recorded the time it took each LEAP member to complete a given session (mean=10 min and 4 s; SD=13.7 s). LEAP members answered questions on the acceptability and feasibility of completing each session (Multimedia Appendix 1). Low scores on the scales indicated poor acceptability or feasibility of use, which was then followed up with detailed discussion.

Jessica Steward, Michelle L Moulds, Colette R Hirsch

JMIR Form Res 2025;9:e66461

Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

Our study corroborates GPT-4’s strong performance, particularly in psychiatry, where GPT-4o achieved 84.4% accuracy. However, our findings suggest that more cautious interpretation is needed, given the high confidence levels observed for incorrect answers. Xiong et al’s [17] work on LLM confidence elicitation aligns with our observations of overconfidence.

Mahmud Omar, Reem Agbareia, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang

JMIR Med Inform 2025;13:e66917