To evaluate the effectiveness of artificial intelligence (AI)-based chatbots in preventing teenage pregnancy compared with traditional methods of sex education or no intervention.
To assess the effects of the current use of artificial intelligence (AI) in women’s health on health equity, specifically in primary and secondary prevention efforts among women.
Two databases, Scopus and PubMed, were used to conduct this narrative review. The keywords included “artificial intelligence,” “machine learning,” “women’s health,” “screen,” “risk factor,” and “prevent,” and papers were filtered only to include those about AI models that general practitioners may use.
The private health sector has expanded significantly in recent decades, both in Latin America and other regions. Governments and international organizations have dealt with this process in a heterogeneous manner. A policy approach and, above all, a regulatory framework, are required in order to put health objectives and the right to health above the profit motive that drives private sector participation. This paper reviews frameworks for analyzing the performance of health systems and the regulation of financing and service provision, primarily (but not exclusively) in the private sector.
To map critical factors for sustainable processes in the institutionalization of evidence-informed decision-making in public health organizations.
A rapid critical interpretative synthesis was carried out based on searches conducted in databases, websites, and reference lists, with findings categorized into an appropriate framework.
To describe the results, achievements, and lessons learned through administrative coverage and rapid monitoring of a follow-up vaccination campaign, in the context of political prioritization and micro-planning as determining factors in the different stages of follow-up campaigns, and the application of these good practices to strengthen the National Immunization Program.
To determine associations between demographic characteristics, alcohol use, heavy episodic drinking (HED), and cardiovascular risk factors using the 2016 Guyana World Health Organization (WHO) STEPwise noncommunicable diseases risk factor survey.
A weighted sample was used in a secondary analysis of data obtained from an online database. Descriptive statistics, binary logistic regression, and linear regression models were applied to identify which subpopulations were at highest risk of HED or cardiovascular disease.
We aimed to assess how control measures during the coronavirus disease 2019 (COVID-19) pandemic affected the metabolic health of people with noncommunicable diseases when severe restrictions on movement and safety concerns prevented the use of traditional methods of health data collection. To identify study participants, we attempted to use hospital laboratory databases in Jamaica, Barbados, and Trinidad and Tobago.
To quantify the occurrence of vaccine-associated paralytic poliomyelitis (VAPP) cases in Brazil from January 2013 to May 2023.
A descriptive study was conducted on VAPP cases reported as events supposedly attributable to vaccination or immunization (ESAVI) following oral poliovirus vaccine (OPV) administration. VAPP cases were defined as acute flaccid paralysis (AFP) with isolation of vaccine-derived poliovirus in stool samples and persistence of motor deficits after 60 days.
To establish baseline seroprevalence of soil-borne, waterborne, and foodborne diseases and to monitor diseases that are eliminated or on the path to elimination in the Paraguayan Chaco.
To systematize and share knowledge and lessons learned from the implementation of follow-up vaccination campaigns in the Region of the Americas between 2003 and 2023.
