Objectives

To examine the COVID-19 pandemic’s impact on cancer care access in Chile, analyzing differential effects by insurance type, gender, and age.

Methods

We conducted a quasi-experimental study using interrupted time series analysis. We used multiple data sources for a broad evaluation of cancer-related health care utilization from January 2017 to December 2020. We fit negative binomial models by population groups for a range of services and diagnoses.

Objectives

To assess the baseline prevalence of mental health conditions and associated exposures in a cohort of health care workers (HCWs) in Guatemala.

Methods

We analyzed baseline information from 2020 Web-based COVID-19 Health Care Workers Study (HEROES)–Guatemala. Outcomes included mental distress and depressive symptoms. Exposures included COVID-19 experiences, sociodemographic characteristics, and job characteristics. We used crude and adjusted Poisson regression models in our analyses.

Objectives

To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities.

Methods

We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors.

This article describes eight guiding principles for the digital transformation of the health sector and identifies their relationship with the COVID-19 pandemic, as well as highlighting their importance to countries undergoing digital transformation processes. In the Region of the Americas, among other gaps, 30% of people do not have access to the Internet, which is why it is mandatory to develop policies and actions to deliver public health interventions equitably and sustainably to ensure that no one is left behind.

This article describes the situation of noncommunicable diseases (NCDs) in the Americas, implementation of NCD interventions according to key progress indicators, the impact of COVID-19 on NCD services, and ways to reprioritize NCDs following COVID-19. Information was retrieved from institutional data and through a supplementary

Introduction

Dengue, chikungunya, and Zika are viral diseases that pose a constant threat to public health. These three arboviruses can produce very similar clinical pictures, which represents a challenge to achieving an accurate clinical diagnosis and can lead to inadequate management and even fatal outcomes.

Objective

To analyze the incidence and mortality trends from COVID-19 in Brazil as well as in federation units and their capitals.

Method

An ecological study was performed using COVID-19 incidence and mortality data covering the period from 25 February 2020 (first case recorded in Brazil) to 31 July 2021. Data were grouped by month for calculation of crude rates (by 100 000 population) and assessment of time trends in federation units and capitals. Significant changes in time trends were analyzed by joinpoint regression.

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In the COVID-19 pandemic, direct and indirect effects on mental health have been reported, including neurological, neuropsychiatric, and neuropsychological symptoms with possible long-term effects. Also, it is suspected that in the coming years there could be a worldwide increase in the incidence of neurodegenerative disorders.