Deaths due to COVID-19 in a state of northeastern Brazil: spatiotemporal distribution, sociodemographic and clinical and operational characteristics.

Autor:	da Silva WM; Nursing Graduate Program, Federal University of Maranhão, São Luís, Brazil., Brito PDS; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., de Sousa GGDS; Nursing Graduate Program, Federal University of Maranhão, São Luís, Brazil., Santos LFS; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., da Silva JC; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Costa ACPJ; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Pascoal LM; Nursing Graduate Program, Federal University of Maranhão, São Luís, Brazil.; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Santos FS; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Graepp Fontoura I; Center of Social Sciences, Health and Technology, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Lobato JSM; Center of Social Sciences, Health and Technology, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Fontoura VM; Nursing Department, State University of Tocantins, Augustinópolis, Tocantins, Brazil., Pereira ALF; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Dos Santos LH; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil., Santos Neto M; Nursing Graduate Program, Federal University of Maranhão, São Luís, Brazil.; Health and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Jazyk:	angličtina
Zdroj:	Transactions of the Royal Society of Tropical Medicine and Hygiene [Trans R Soc Trop Med Hyg] 2022 Feb 01; Vol. 116 (2), pp. 163-172.
DOI:	10.1093/trstmh/trab098
Abstrakt:	Background: The detection of spatiotemporal clusters of deaths by coronavirus disease 2019 (COVID-19) is essential for health systems and services, as it contributes to the allocation of resources and helps in effective decision making aimed at disease control and surveillance. Thus we aim to analyse the spatiotemporal distribution and describe sociodemographic and clinical and operational characteristics of COVID-19-related deaths in a Brazilian state. Methods: A descriptive and ecological study was carried out in the state of Maranhão. The study population consisted of deaths by COVID-19 in the period from 29 March to 31 July 2020. The detection of spatiotemporal clusters was performed by spatiotemporal scan analysis. Results: A total of 3001 deaths were analysed with an average age of 69 y, predominantly in males, of brown ethnicity, with arterial hypertension and diabetes, diagnosed mainly by reverse transcription polymerase chain reaction in public laboratories. The crude mortality rates the municipalities ranged from 0.00 to 102.24 deaths per 100 000 inhabitants and three spatiotemporal clusters of high relative risk were detected, with a mortality rate ranging from 20.25 to 91.49 deaths per 100 000 inhabitants per month. The headquarters was the metropolitan region of São Luís and municipalities with better socio-economic and health development. Conclusions: The heterogeneous spatiotemporal distribution and the sociodemographic and clinical and operational characteristics of deaths by COVID-19 point to the need for interventions. (© The Author(s) 2021. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu