Objective

To document the historical facts and the challenges faced in the Region of the Americas in achieving and sustaining measles, rubella, and congenital rubella syndrome (CRS) elimination between 2013 and 2023. 

Method

Special report with a narrative description of the main achievements, challenges, and lessons learned during the period, and an analysis of vaccination coverage, surveillance indicators, and measles outbreaks using data from the Pan American Health Organization and the United Nations Children's Fund, among others. 

Objective

To describe the process of restructuring the National Expert Committee and its impact on the causality assessment of events supposedly attributable to vaccination or immunization (ESAVI) in the context of vaccine safety monitoring during the COVID-19 pandemic, 2020-2023. 

Method

A report was prepared on the experience of creating and operating Mexico's National Expert Committee during the aforementioned period. 

The widespread digitization of information, advances in data processing and the emergence of internet-connected devices have led to a proliferation of data, often loosely referred to as big data. With this digital transformation, offering open data – that is, data freely available for modification and reuse – has emerged as a key strategy for encouraging transparency and innovation. Data reuse holds particular importance in the small island developing states of the Caribbean, which have a limited resource pool from which to tackle the landscape of social priorities.

Objective

We describe the daily operations of the Cohorts Consortium of Latin America and the Caribbean (CC-LAC), detailing the resources required and offering tips to Caribbean researchers so this guide can be used to start a data pooling project. 

In the face of growing health challenges, nontraditional sources of data, such as open data, have the potential to transform how decisions are made and used to inform public health policies. Focusing on the COVID-19 pandemic, this article presents a case study employing sentiment analysis on unstructured social media data from Twitter (now X) to gauge public sentiment regarding pandemic-related restrictions. Our study aims to uncover and analyze Jamaican citizens’ emotions and opinions surrounding COVID-19 restrictions following an outbreak at a call center in April 2020.

Objective

To quantify three aspects of data-related developmental progress across 57 Small Island Developing States (SIDS) recognized by the United Nations: statistical capacity measured using the Statistical Performance Indicators (SPI), data availability using the Sustainable Development Goal (SDG) indicators, and gender-stratified indicators. 

Objectives

This study aimed to explore the use of data from routine health information systems (RHIS) as a public good in Trinidad and Tobago, the challenges faced in doing this and opportunities for strengthening the health information system. 

Data sharing increasingly underpins collaborative research to address complex regional and global public health problems. Advances in analytic tools, including machine learning, have expanded the potential benefits derived from large global repositories of open data. Participating in open data collaboratives offers opportunities for Caribbean researchers to advance the health of the region’s population through shared data driven science and policy. However, ethical challenges complicate these efforts.