BackgroundAccurate incidence prediction of sexually transmitted diseases (STDs) is critical for early prevention and better government strategic planning. In this paper, four different forecasting mod
SD = standard deviation; IQR = interquartile range. *Weight and BMI data available at baseline and end of study for 91 residents. †Waist and self-reported exercise available at baseline and end of stu
Multivariable analyses of HIV and active syphilis co-infection by sex among ZAMPHIA 2016 respondents aged 15–59 years who were sexually active in the past 12 months (n = 10,683).
