front_page

This article points out deficiencies in present-day definitions of public health surveillance, which include data collection, analysis, interpretation and dissemination, but not public health action. Controlling a public health problem of concern requires a public health response that goes beyond information dissemination. It is undesirable to have public health divided into data generation processes (public health surveillance) and data use processes (public health response), managed by two separate groups (surveillance experts and policy-makers).

Objectives 

To identify the prevalence and determinants of continued breastfeeding in Haitian children aged 12–23 months. 

Objectives

To validate the implementation drivers scale among first-level mental health care professionals in Colombia. The scale is designed as a tool to guide the implementation of strategies that effectively reduce gaps in mental health care.
 

Objective

To provide a comprehensive overview of geographical patterns (2001–2010) and time trends (1993–2012) of cancer incidence in children aged 0–19 years in Latin America and the Caribbean (LAC) and interpret the findings in the context of global patterns.

Objective

Identify and analyze incidents of substandard, falsified, unregistered, and stolen medical products at the onset of the COVID-19 pandemic.

Methods

Detailed search of the websites of regulatory authorities in the Americas. Identification of incidents of substandard, falsified, unregistered, and stolen medicines and medical devices (including in vitro diagnostics). The types of products were determined, as were the stages in the supply chain where they were detected, and the actions taken by authorities.

The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespread use has been instrumental in ensuring transparency in the evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate impact on health outcomes. The CONSORT-AI (Consolidated Standards of Reporting Trials– Artificial Intelligence) extension is a new reporting guideline for clinical trials evaluating interventions with an AI component.

Objective

Conduct an analysis to determine the existence and updating of national essential medicines lists (EMLs) and clinical practice guidelines (CPGs) for the treatment of diabetes in Latin America and the Caribbean (LAC); and compare the medicines included in each country's list and guidelines both with each other and with those of the World Health Organization (WHO).

The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate their impact on health outcomes.

Objective

To analyze temporal trends and inequalities in neonatal mortality between 2000 and 2020, and to set neonatal mortality targets for 2025 and 2030 in the Americas.