The Text Mining Technique Applied to the Analysis of Health Interventions to Combat Congenital Syphilis in Brazil: The Case of the “Syphilis No!” Project

• Published in: Frontiers in public health Vol. 10; p. 855680
• Main Authors: da Rocha, Marcella A., dos Santos, Marquiony M., Fontes, Raphael S., de Melo, Andréa S. P., Cunha-Oliveira, Aliete, Miranda, Angélica E., de Oliveira, Carlos A. P., Oliveira, Hugo Gonçalo, Gusmão, Cristine M. G., Lima, Thaísa G. F. M. S., Pinto, Rafael, Barros, Daniele M. S., Valentim, Ricardo A. de M.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 30.03.2022
• Subjects: Brazil - epidemiology; congenital syphilis; content analysis; Data Mining; Epidemics; Female; Humans; Pregnancy; Public Health; Syphilis - diagnosis; Syphilis - epidemiology; Syphilis - prevention & control; Syphilis, Congenital - diagnosis; Syphilis, Congenital - epidemiology; Syphilis, Congenital - prevention & control; text mining; “no syphilis” project; Brazil; text mining; “no syphilis” project; content analysis; public health; congenital syphilis

Congenital syphilis (CS) remains a threat to public health worldwide, especially in developing countries. To mitigate the impacts of the CS epidemic, the Brazilian government has developed a national intervention project called “Syphilis No.” Thus, among its range of actions is the production of tho...