Alimentos complementarios comerciales en Argentina y México: análisis de su composición nutricional, etiquetado y promoción

Objetivo. Caracterizar los alimentos complementarios comerciales (ACC) disponibles en Argentina y México y analizar su alineación con un modelo de perfil de nutrientes y promoción de ACC diseñado y adaptado para América Latina y el Caribe. 

Panorama de la atención domiciliaria para pacientes con enfermedades crónicas en América Latina: una revisión de alcance

Objetivo. Mapear la evidencia disponible sobre los servicios de atención domiciliaria para personas adultas mayores con enfermedades crónicas en América Latina y describir las características de los modelos de atención y los resultados comunicados. 

Gobernanza, organización y distribución de tareas en la planificación familiar en América Latina y el Caribe

Objetivo. Describir comparativamente la gobernanza y la organización de los servicios, así como la distribución de tareas en la planificación familiar en países de América Latina y el Caribe (ALC), según el nivel de atención y la subregión. Métodos. Estudio observacional, transversal-comparativo, realizado en 2025 a través de una encuesta remitida a ministerios de salud de países de ALC con oficinas de la Organización Panamericana de la Salud. Se analizó (1) la gobernanza y organización de los servicios de planificación familiar y (2) la distribución de tareas.

Co-developing a community health worker-led hypertension control intervention in Peru through a human-centered design approach

Objective. To define the essential content and design elements for hypertension support delivered by community health workers (CHWs) in Puno, Peru, aligned with the HEARTS Initiative. 

Methods. We applied a human-centered design approach to co-create strategies for a CHW-led hypertension intervention through five interactive workshops with 24 CHWs, 32 healthcare workers (doctors, nurses, and administrators), and 18 community members with hypertension. 

Current Yellow fever situation in the Americas: call for strengthened surveillance and vaccination efforts in enzootic and newly affected areas

Yellow fever activity in the Americas Region has intensified over the past two years, with 2025 recording the highest annual number of confirmed cases since 2020 (Figure 1). This resurgence follows major outbreaks reported in 2017 and 2018 and is notable for cases in areas without a historical record of transmission, including outside of the Amazon Region. Preventing further spread of the virus requires maintaining strong surveillance systems, sustaining high vaccination coverage in populations living in high-risk areas, and ensuring a timely detection and coordinated response. 

HEARTS in the Americas 2026

Cardiovascular diseases continue to be the leading cause of death in the Region of the Americas, accounting for more than 2.2 million deaths annually, and pose a critical challenge to health systems, economic development, and social equity. The absolute number of cases has continued to rise, while the decline in mortality has slowed since the mid-2010s, jeopardizing progress toward the goal of reducing premature mortality from noncommunicable diseases by 30% by 2030.

Expanding team-based care for hypertension and cardiovascular risk management with HEARTS in the Americas

Cardiovascular diseases remain the leading cause of premature morbidity and mortality globally, with hypertension as their main modifiable risk factor. In Latin America and the Caribbean, hypertension affects more than 30% of adults, yet control rates remain alarmingly low. The HEARTS in the Americas Initiative, led by the Pan American Health Organization, promotes a model of team-based care to enhance risk management for hypertension and cardiovascular diseases within primary health care.

Independent assessment of the WHO Skin Neglected Tropical Diseases application for leprosy detection

Objectives

To independently evaluate the World Health Organization (WHO) Skin Neglected Tropical Diseases (NTDs) application, focusing on the diagnostic performance of its underlying artificial intelligence model for leprosy detection. The primary objective was to determine the proportion of images in which leprosy appeared among the model’s Top-5 diagnostic predictions. The secondary objective was to qualitatively analyze diagnostic error patterns. 

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