A New Surveillance Model of Tuberculosis Transmission Control Based on Geographic Information System in the Primary Health Care

Abstract

Background: Tuberculosis can cause a substantial challenge against public health, especially in the developing countries which have low level of socio-economic condition that does not support the control over tuberculosis transmission and infection. Objective: To find a new surveillance model of tuberculosis transmission control based on geographic information system data in improving the tuberculosis transmission control and treatment outcome. Methods: Effectiveness test of the self-monitoring of calendar documentation on the tuberculosis transmission control and outcome treatment with quasi-experimental post-test only with control group design. The analytical unit consisted of 96 tuberculosis cases as the self-monitoring group of calendar documentation (intervention) and 87 tuberculosis cases as the control group sourced of two different primary health care. Results: The self-monitoring intervention of calendar documentation increased the average treatment effect on medicines intake control 0.11 (95% CI: 0.01-0.21), environment control 0.32 (95% CI: 0.19-46), droplets nuclei control 0.49 (95% CI: 0.36-0.61), cured 0.22 (95% CI: 0.09-0.36), completed 0.18 (95% CI: 0.09-0.26), drop out 0.09 (95% CI: 0.01-0.16), and failure of treatment 0.18 (95% CI: 0.09-0.26) of the control group (baseline). Conclusion: The final result of this research found a new surveillance model of tuberculosis transmission control in google earth mapping aplication based on Geographic Information system.