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Sexually Transmitted Diseases (STDs) may affect anyone. The growing tendency of this disease's dissemination is related to partner changes in sexual behaviour and the prevalence of premarital and extramarital sexual interactions. The majority of persons with STDs are between the ages of 11 and 29, however some newborns are afflicted after contracting it from their moms. Understanding the relationship between education, marital status, and income and the prevalence of STDs among pt HIS Ship personnel. With a cross-sectional design, this study employed an observational analytical technique. The research participants were 46 personnel from the barge Pt HIS. The chi-square test and the multiple logistic regression test were used to analyse the data descriptively and statistically. The Chi-square analysis revealed a variable p-value of 0.000 and PR value of 7.58 (p = 0.000), married status p-value of 0.031 and PR value of 1.38, knowledge p-value of 0.001 and PR value of 2.26, and income p-value of 0.003 and PR value of 1.53. There is a link between marital status, income, and knowledge, and there is also a strong association between the occurrence of sexually transmitted illnesses among PT HIS ship personnel. Only the education level factors show a statistically insignificant link with the occurrence of infectious illnesses among PT HIS ship personnel.

Conducting an effective Covid-19 vaccine is a global public health necessity in containing the pandemic. Vaccines are one of the most reliable and cost-effective public health interventions ever implemented that are saving millions of lives each year. The purpose of this study was to identify public acceptance of the Covid-19 vaccination program in the South Kalimantan region. Quantitative research by using a cross-sectional approach. The number of samples is 252 people. The sampling technique is accidental sampling. The study was conducted in South Kalimantan Province, Indonesia. Predictors of acceptance of the vaccine program were identified from vaccination status, views on vaccine effectiveness, vaccine safety, pandemic conspiracy, trustworthiness of information about Covid-19, and willingness to pay for vaccines. Data collection was done online using a Google Form questionnaire. Based on the predictors of acceptance of the covid-19 vaccination program, it can be seen that the majority support the vaccination program in helping prevent the transmission of Covid-19.