Abstract

In response to the accelerated increase in the number of COVID-19 cases, countries must increase their supply of beds in intensive care units (ICUs). Respiratory diseases, neoplasms, cardiopathies and hypertension, and diabetes are associated with higher COVID-19 case-fatality. The study aimed to identify the regions of Brazil with higher specific mortality rates from these comorbidities and the regions with the greatest shortage of ICU beds and mechanical ventilators. A cross-sectional ecological study was performed in which the units of analysis were the country's Health Regions. Data were obtained from Brazilian Health Informatics Department - DATASUS (National Registry of Healthcare Establishments - 2019, Mortality Information Systems - 2017, and Population Projections - 2017). We calculated the disease group-specific mortality rates for hypertension, neoplasms, diabetes, cardiac diseases, respiratory diseases and the rates of total ICU beds, private ICU beds, ICU beds in the Brazilian Unified National Health System (SUS), and ventilators in the SUS, per 100,000 inhabitants. The mortality profile was determined by latent profiles analysis, and the cluster analysis of ICU beds and ventilators used the spatial scan method. Kernel maps were constructed for the data's visualization. Level of significance was set at 5%. Four latent mortality profiles were observed. The Health Regions with the highest mean mortality rates were located in regions with shortages of ICU beds and ventilators, especially in parts of the Northeast, Southeast, and South of Brazil. The spatial localization of regions with both the highest mortality and shortages of ICU beds/ventilators requires attention by policymakers and public planners to deal efficiently and fairly with the COVID-19 epidemic in Brazil.

Highlights

  • The outbreak of infection with the novel coronavirus SARS-CoV-2, called coronavirus disease 2019 (COVID-19), was first reported in December 2019 in Wuhan, China 1,2

  • This model did not present the highest entropy, it was the one with the lowest Akaike information criterion (AIC), Bayesian information criterion (BIC), and adjusted BIC values, with statistical significance in all three tests

  • Latent profiles analysis identified Health Regions in Brazil in which the principal causes of mortality associated with higher COVID-19 case-fatality are located

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Summary

Introduction

The outbreak of infection with the novel coronavirus SARS-CoV-2, called coronavirus disease 2019 (COVID-19), was first reported in December 2019 in Wuhan, China 1,2. The disease appeared with severe forms of pneumonia and rapid human spread. Patient signs and symptoms include dry cough, headache, hypoxia, fever, and shortness of breath. The deaths occur due to progressive respiratory failure caused by pulmonary damage 3,4,5. Severe cases require treatment in intensive care units (ICUs) 6. The rapid increase in the numbers of cases and deaths in China led the World Health Organization (WHO) to declare an International Public Health Emergency of International Concern on January 30, 2020 7. A series of health measures were announced by the WHO, culminating in the declaration of a global pandemic on March 11, 2020 8

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