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Rev. Soc. Bras. Med. Trop ; 53: e20200354, 2020. tab, graf
Artículo en Inglés | SES-SP, ColecionaSUS, LILACS | ID: biblio-1136826

RESUMEN

Abstract INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará's municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed.


Asunto(s)
Humanos , Masculino , Femenino , Lactante , Preescolar , Niño , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Adulto Joven , Neumonía Viral/epidemiología , Ocupación de Camas/estadística & datos numéricos , Betacoronavirus , Necesidades y Demandas de Servicios de Salud/estadística & datos numéricos , Neumonía Viral/mortalidad , Factores de Tiempo , Brasil/epidemiología , Distribución por Sexo , Infecciones por Coronavirus , Infecciones por Coronavirus/mortalidad , Infecciones por Coronavirus/epidemiología , Distribución por Edad , Encuestas de Atención de la Salud/estadística & datos numéricos , Pandemias , Análisis de Datos , Unidades Hospitalarias/estadística & datos numéricos , Unidades de Cuidados Intensivos/estadística & datos numéricos , Tiempo de Internación/estadística & datos numéricos , Persona de Mediana Edad
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