Deploying machine learning to find out the reasons for not using condom in a questionnaire-based study of 120 patients.

Context: Even though condom offers more than 90% protection against human immunodeficiency viral infections (human immunodeficiency virus) and few sexually transmitted infections (STIs), the overall use of condom in India is low. Many studies revealed that the significant barriers for not using condom were lack of privacy in stores, cultural differences, etc.

Aims: We intended to find out the reasons for not using condoms in patients attending the STI clinic, by using questionnaire, and had applied machine learning tool to predict those reasons for not using condoms, from the data collected.

Co-infection of syphilis and hepatitis B with carcinoma penis in a human immunodeficiency virus male.

Human immunodeficiency virus (HIV) infections have a high probability of co-infections with Syphilis and hepatitis B virus since they share the common routes of transmission. We report a 41-year-old HIV male (on antiretroviral therapy for the past 6 years) admitted for a complaint of penile ulcer for 2 months. Serology for syphilis and hepatitis B were positive.