Computational methods applied to syphilis: where are we, and where are we going?

Syphilis is an infectious disease that can be diagnosed and treated cheaply. Despite being a curable condition, the syphilis rate is increasing worldwide. In this sense, computational methods can analyze data and assist managers in formulating new public policies for preventing and controlling sexually transmitted infections (STIs).

Evaluation of massive education in prison health: a perspective of health care for the person deprived of freedom in Brazil.

Education, with an emphasis on prison health, has acted as a policy inducing changes in work processes, which the Brazilian National Health System (SUS) has used, and which is present in permanent health education, which promotes health care for people deprived of liberty. This article aims to present an analysis of the impacts of the strategy of massive education on prison health in Brazil from the perspective of health professionals and other actors operating in the Brazilian prison system. The data used in the study come from a questionnaire consisting of 37 questions applied nationwide between March and June 2022.

Massive health education through technological mediation: Analyses and impacts on the syphilis epidemic in Brazil.

With syphilis cases on the rise, Brazil declared an epidemic in 2016. To address the consequent public health crisis, the Ministry of Health laid out a rapid response plan, namely, the "Syphilis No!" Project (SNP), a national instrument to fight the disease which encompasses four dimensions: (a) management and governance, (b) surveillance, (c) comprehensive care, and (d) strengthening of educommunication. In the dimension of education, the SNP developed the learning pathway "Syphilis and other Sexually Transmitted Infections (STIs)" to strengthen and promote Health Education.

The relevancy of massive health education in the Brazilian prison system: The course "health care for people deprived of freedom" and its impacts.

Introduction: Brazil has one of the largest prison populations globally, with over 682,000 imprisoned people. Prison health is a public health emergency as it presents increasingly aggravating disease rates, mainly sexually transmitted infections (STI). And this problem already affects both developed and developing nations.

The relevance a technology ecosystem in the Brazilian National Health Service's Covid-19 response: the case of Rio Grande do Norte, Brazil.

Technological advances play an undeniable role in strengthening health systems. With regard to digital technologies, information systems and the analysis of health data are playing a growing role in health surveillance and preparing for and responding to disease outbreaks, the theme addressed by this article within the context of the Covid-19 pandemic in the State of Rio Grande do Norte. This study departs from the assumption that digital health interventions can increase Covid-19 response capacity.

Machine learning applied to retinal image processing for glaucoma detection: review and perspective.

Introduction: This is a systematic review on the main algorithms using machine learning (ML) in retinal image processing for glaucoma diagnosis and detection. ML has proven to be a significant tool for the development of computer aided technology. Furthermore, secondary research has been widely conducted over the years for ophthalmologists.