The dependent latent variable was TB transmission. The research variables consisted of independent latent variables, dependent latent variables, and their indicators. The sampling technique in this research was simple random sampling.

This study used a sample of 166 smear-positive TB patients, which was the minimum sample size calculated using 80% power and 95% confidence intervals. Population in this study was all patients with smear-positive TB from January to June 2017 recorded in 30 community health centers (CHCs) that implemented the DOTS strategy, consisted of 635 smear-positive TB patients. The results of this model confirmed which determinants and which indicators should be considered as a basis for a suitable intervention strategy to decrease TB transmission.Ī cross-sectional study was conducted in Bandar Lampung from January to November 2017. By using the PLS method, both the determinants that significantly influence TB transmission and the indicators that best identify those determinants can be identified. Since these determinants are latent variables, the partial least square (PLS) method was used to develop a model. The research aims to develop a prediction model of TB transmission based on socioeconomic position determinants and TB's risk factors determinants. Therefore, knowledge of how socioeconomic position and TB risk factors influence TB transmission is required to support TB control program to decrease TB incidence. Moreover, research also showed that clustered TB incidences were located in the area of Bandar Lampung with low-socioeconomic position. The research showed that individual with low-socioeconomic position would have higher TB risk factors which then influenced to develop TB. In addition, recent studies in Bandar Lampung showed that socioeconomic position in individual and community have potential role to TB incidence. The risk of transmission is higher for people with lower socioeconomic position compared to people with the higher socioeconomic position. Studies have shown that disease transmission or contact occurs from inside the house, surrounding homes, and the working environment. The increasing of TB cases suggests that there are disease transmissions or contacts among closely related people in the community. It is also well known that TB is highly correlated with poverty level. Moreover, Bandar Lampung is located in the fifth poorest province in Indonesia.

Bandar Lampung has been recorded as one of the cities, in Indonesia, with a high rate of TB incidence, and with 2056 cases in 2016 compared to the 1,195 cases in the year 2012. The number of incidences in 2016 was about twice the number in 2012. Indonesia has also struggled with an escalation of the rate of TB incidence. Indonesia is a country with the third highest rate of tuberculosis (TB) incidence in the world.

Data penduduk di bandar lampung