Utilising snake rescue data to understand snake-human conflict in Hooghly, West Bengal, India.

Background: Snakebite envenoming, classified as a neglected tropical disease, poses a significant threat to life in India, where it is estimated to cause 58 000 fatalities as well as 140 000 morbidities annually. To reduce the occurrence of snakebite, we need a comprehensive understanding of human-snake conflict ecology. Snake rescue networks represent a vital resource for gathering such ecological data.

Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature.

All disciplines, including nursing, may be experiencing significant changes with the advent of free, publicly available generative artificial intelligence tools. Recent research has shown the difficulty in distinguishing artificial intelligence-generated text from content that is written by humans, thereby increasing the probability for unverified information shared in scholarly works. The purpose of this study was to determine the extent of generative artificial intelligence usage in published nursing articles.

Community-Engaged Insights: Understanding the Housing Needs of Rural Caregivers During Hospital Treatment.

Purpose: This study explored the experiences of rural caregivers who require temporary housing during hospital treatment when healthcare is not available in their home communities. Understanding these experiences can identify challenges and inform solutions for improving rural access to healthcare.

Methods: We conducted a community-engaged qualitative study using semi-structured interviews with caregivers who stayed at a healthcare hospitality house in Charlotte, NC.