In Nigeria, statistics reveal that there is a high rate of cervical cancer among women and a significant lack of awareness surrounding Human Papillomavirus (HPV), which poses a substantial risk of HPV infection. This cross-sectional survey, conducted at Ibrahim Badamasi Babangida (IBB) University, focuses on adapting and exploring the factors that influence a 20-item scale to measure HPV knowledge, evaluating knowledge-associated patterns and HPV-associated risk factors. We examined HPV vaccination rates, infection awareness, vaccine awareness, and the impact of ethnicity on HPV knowledge. Various validated forms were adapted to measure HPV awareness and knowledge. Non-parametric tests addressed non-normality. Data were presented using median and IQR and categorical data were frequency-based. Bivariate tests (Mann–Witney, Kruskal Wallis) explored knowledge-associated factors, while quantile regression (75th percentile) examined HPV knowledge factors. Variables were considered statistically significant at p < 0.05. The adapted 20-item knowledge scale revealed strong reliability (Cronbach’s alpha = 0.913), ensuring internal consistency. The median knowledge score was 0, with an interquartile range (IQR) of 0–5. Our findings revealed a significant lack of awareness and knowledge about HPV; only 34.8% of the population were aware of HPV infection and 25.0% were familiar with HPV vaccination. Furthermore, ethnicity was found to be significantly associated with knowledge of HPV. This study emphasizes the necessity for targeted interventions to enhance HPV awareness, especially within specific ethnic groups. Despite a robust knowledge scale, educational initiatives such as seminars/conferences about HPV and cervical cancer remain crucial in addressing this gap, ultimately reducing HPV infection and cervical cancer risks in Nigeria.

Human Papillomavirus (HPV) and other germane parameters are considered the leading cause of cervical cancer in women in this study. Our aim is to create awareness about HPV and cervical cancer among both males and females in Nigeria. We developed a risk-score (HAT-Human Papillomavirus Assessment Test) which was used to determine the risk factor(s) with the highest/lowest risk factors for HPV associated infections in both men and women, and cervical cancer progression in women.

In as much as the study of biomedicine remain important to life, the application of statistical models for the purpose of analyzing and understanding the context of biomedical dataset and all other epidemiological research fields is as well vital. Relating and selecting the best statistical model for any biomedical dataset for proper and accurate interpretation of analytical result from complex dataset defines the basis of biomedical applications of regression models and modelling. The purpose of this paper is to model the relationship between two/more dependent variables acquired from Human Papillomavirus (HPV) dataset with the use Logistic Regression (LR) model. This model can differentiate between participants who have a low or high probability of adequate knowledge, attitude, and perception (KAP) about HPV-infections and cervical cancer disease. The HPV dataset was collected with the use of an online developed Human Papillomavirus (HPV) Assessment Test (HAT) tool that was made accessible to voluntary participants. The HAT tool comprises of datasets that are related to HPV and cervical cancer (CC).

The menace of human papillomavirus (HPV) infections among low- and middle-income countries with no access to a free HPV vaccine is a public health concern. HPV is one of the most common sexually transmitted infections (STIs) in Nigeria, while the most known types of HPV genotypes being transmitted are the high-risk HPV-16 and 18 genotypes. In this study, we explored the predictors of self-reported HPV infections and HPV genital warts infection among a population of students, non-academic staff, and academic staff of Ibrahim Badamasi Babangida (IBB) University located in Lapai, Nigeria. We also assessed their knowledge about HPV infections and genotypes, and sexual behaviors. An online cross-sectional study was conducted by setting up a structured questionnaire on Google Forms and it was distributed to the university community via Facebook and other social media platforms of the university. The form captured questions on HPV infection, and knowledge about HPV infection and genotypes, as well as the sexual health of the participants. All variables were described using frequencies and percentage distribution; chi-squared test statistics were used to explore the association between HPV infection (medical records of HPV infection) and the participants’ profile, and a logistic regression analysis was performed to examine the factors associated with HPV genital warts infection among the population. This study reveals those participants between the ages of 26–40 years (81.3%) and those currently not in a sexually active relationship—single/divorced (26.4%)—who have self-reported having the HPV-16 and -18 genotypes. Moreover, participants between 26–40 years of age (OR: 0.45, 95%CI: 0.22–0.89) reported themselves to be carriers of HPV genital warts. Therefore, this study reveals the factors associated with HPV infection and genital warts peculiar to IBB university students and staff. Hence, we suggest the need for HPV awareness programs and free HPV vaccine availability at IBB university.

ECG graphs show the electrical activity of the heart in function of time. It helps doctors to better understand the actual heart activity of the patient. Before the use of computers in the medical field, the ECG was printed and analyzed on a paper format. Nowadays medical data is archived in digital format and many data formats for ECG data storage are available. The many formats present an important problem of interoperability and compatibility between different data representations. A new technique to solve the interoperability issue and furthermore to store even stream-like ECG data became a necessity to assure better service quality of hospitals and to ensure smooth transition between different formats. This paper proposes a new (working and tested) solution for ECG data conversion, using an intermediate JSON format designed especially for ECG data, from/to SCP-ECG, DICOM-ECG, and HL7 aECG.

Human Papillomaviruses (HPV) is one of the most common Sexually Transmitted Infections (STIs) among females and males in our society; causing persistent genital HPV-infections that can further develop into cervical cancer in females. The main kind of HPV-genotypes causing cervical cancer (which is categorized as human carcinogens) are the HPV-genotype 16 and 18. However, our society does not have relevant information about these HPV-genotypes. Hence, to mitigate and prevent the spread of HPV-infections and cervical cancer mortality rate in our society, more energy should be accelerated into awareness creation on HPV and cervical cancer globally. This study focuses on the risk factors causing HPV-infections and cervical cancer disease; and how associated each risk factor is with the other. The purpose of this research is to study the risk factors of HPV-infections and cervical cancer risk factors, and further reveal the associations between the associated risk factors of both diseases using chi-square method. Statistical results would help readers and researchers to understand the risk factors of HPV and cervical cancer, and they can develop restrains in practicing high-risk sexual behaviors and aim to practice safe sexual intercourse.