Human Papilloma Virus (HPV) is the most common sexually transmitted disease with over 14 million infections in 2008. Certain HPV types have been identified in up to 70% of cases of cervical and anal cancers. Despite being safe and effective, HPV vaccination rates remain low. Vaccination and demographic data was collected pre-and post-intervention. Among 13 thru 17-year-old cohort females were significantly more likely to be fully vaccinated. Assessment also found that patients insured by Medicaid were significantly more likely to be fully vaccinated than patients insured privately. Post-intervention vaccination rate is similar to baseline rates. There was non-significant improvement in HPV vaccination coverage after intervention. Male and privately insured patients of Creighton's Pediatric Clinic have lower HPV vaccination coverage than their counterparts. More direct efforts are needed in vaccination process and policy in the clinic to improve immunization against HPV among children and adolescents.

The purpose of this study is to assess the fear factor in Social media data in the context of Coronavirus Disease -2019(COVID-19) across the globe. The fear generated from social media content will adversely affect the mental health of the public. Design/methodology/approach: The study is followed by a literature survey during the emergence of social media and Internet technologies since the year 2006 where the people commonly started to use the internet across the world. The Twitter data collected on COVID-19 during the infection period and the analysis. Findings: The social media contents adversely affect the mental health of the common public and also the healthcare programs run by the government organizations to some extent. The findings show that the social media are the major source of fear-mongering information and the people behind the fear-mongering are making use of the disaster situation to set their agenda. The strict enactment of law and the efforts by the social media platforms can reduce the fake news and misinformation. Research limitations/implications: The research focuses only on the Twitter data for the analysis during the COVID-19 distress. The detailed study needs to be done in similar distress situations across the globe. The data retrieval became limited from different social media platforms because of privacy issues.

The study was focused on the impact of social media and misinformation during the distress. The type of information shared in social network depends on the people behavior. During the distress the impulsive behavior will result in sharing of the misinformation unknowingly which will affect the people already in distress. The paper investigates the impact of social networks in the distressed areas due to natural calamity. The data was collected from the distressed area by offline mode and from other areas by online mode. The target informants were the affected people and the people involved in the relief and rescue operations. Confirmatory Factor Analysis was used to test whether the data fit for the hypothesized model. The study revealed that the social media played a crucial role in the relief and rescue operations and at the same time the misinformation has halted the operations in some places.

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Background Meningococcal disease is a life-threatening illness that can cause sequelae such as neurological impairment, hearing loss, seizures, limb amputations, and scarring. Adolescents and young adults are at highest risk for contracting this disease which comes with a case-fatality ratio of 10–15%. Common serogroups in the United States are B, C, W, and Y, which are covered by two separate vaccines administered in a two-dose series. While MenACWY is routinely administered, the booster dose is often missed. Only 21.8% of teens reported receiving the MenB vaccine. While it is not currently part of routine care, recent outbreaks have been caused by serogroup B, prompting the need for increased vaccination rates. Methods MenACWY and MenB vaccination rates and demographic information were collected for 16–19-year-old patients in a pediatric clinic. Interventions including staff education, call logs, EMR communications to parents/guardians, and careful chart review were employed. Results At the time of baseline MenACWY data collection, there were N = 333 subjects between 16 and 19 years of age and N = 335 subjects between 16 and 19 years of age provided for MenB data. Upon completion, there were N = 319 subjects. Comparison of pre- and post-intervention data demonstrated a statistically significant increase in MenACWY series completion from 67.3 to 76.2% (p = 0.035) and a non-statistically significant increase in MenB completion from 6.9 to 10.3% (p = 0.197). Conclusions There was a statistically significant improvement in MenACWY but not MenB vaccination rates, indicating a need for more effective measures in addressing low MenB coverage.