Text Mining Applied to Analysis of Public Health Policy Interventions: the case of the Syphilis Epidemic in Brazil
Syphilis, Public Health Policy Intervention, Epidemiology, Text Mining, LUES Platform, "No Syphilis" Project.
Syphilis is a chronic infectious disease that remains a serious public health problem in much of the world. In Brazil, the rapid response to syphilis project, No Syphilis!, was created in 2018. This project has several strategies to combat syphilis, including the creation of a group of field researchers who worked in priority municipalities and produced thousands of text reports and added them to the platform. The objective of the work is to use the textual productions of the platform of field researchers of the No Syphilis project, LUES, for Text Mining to understand the impact of syphilis in the territory. The texts will be analyzed using some Data Mining (DM) algorithms. In addition, the answers from questionnaires from the "No Syphilis!" project will be used. with the purpose of finding relationships between the productions carried out and the questionnaires in the contribution of the reduction of syphilis. Associations of the data extracted from the questionnaires and reports with indicators of syphilis and its impact of the epidemic in the territory are tested. With this, it is possible to understand the most effective processes for reducing syphilis in the territories from the support strategy and the LUES platform.