College students have been identified as at high risk for contracting Human Papillomavirus (HPV) due to engaging in risky behaviors, such as binge drinking and unprotected sex. Before preventative measures like vaccination and condom usage can be promoted, awareness must be evaluated. A random sample of 438 college students was surveyed on their awareness of HPV using both paper and online surveying methods. Using binary logistic regression, HPV awareness was predicted using demographic measures. The majority of the sample reported having heard of HPV before. Sexually active respondents and females were significantly more likely to report awareness. Non-whites and first-generation college students were also more likely to report awareness. These demographic predictors will help identify groups needing educational and HPV intervention programs. Implications and further research is discussed.

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Global research and development have witnessed new horizons in technological advancements, especially in the use of new-generation bioinformatic tools to solve human needs. Cervical cancer, caused by a sexually transmitted virus like human papillomavirus (HPV), is one of the most common cancers threatening women's health. The main aim of the study is to evaluate existing Next-generation pipelines for detection of HPV in cervical cancer. The method includes data retrieval, which involves careful selection and downloading of 30 metagenomic data (in FASTA-Q format) from the Human Microbiome Project database. The implementation phase of the study involved setting up and configuring the virus detection tools (HPViewer, VirusSeq and VirusFinder 2.0). All the tools were run on default settings to analyze the metagenome samples using the instructions provided by their authors. The result showed that the tools detected HPV. The HPViewer demonstrated a higher level of HPV detection, followed by VirusSeq and then VirusFinder 2. The HPViewer had the shortest run time, completing an analysis in 24.1 seconds, followed by VirusFinder 2 in 208 seconds and VirusSeq took 4200 seconds (1 hour, 10 minutes to run). HPViewer demonstrated an outstanding sensitivity of 100%, VirusFinder 2 (45.5 %) and VirusSeq (63.6%). In conclusion, the present study underscored the trade-offs between speed, accuracy, and resource consumption between bioinformatics tools for HPV detection. Each of the tools exhibited unique strengths and limitations; however, they provided valuable options for HPV detection.

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