tetano
Editor, Senior Moderator
Trans R Soc Trop Med Hyg
. 2021 Jul 12;trab098.
doi: 10.1093/trstmh/trab098. Online ahead of print.
Deaths due to COVID-19 in a state of northeastern Brazil: spatiotemporal distribution, sociodemographic and clinical and operational characteristics
Weslei Melo da Silva[SUP] 1 [/SUP], Paula Dos Santos Brito[SUP] 2 [/SUP], Giana Gislanne da Silva de Sousa[SUP] 1 [/SUP], Livia Fernanda Siqueira Santos[SUP] 2 [/SUP], Janiel Conceição da Silva[SUP] 2 [/SUP], Ana Cristina Pereira de Jesus Costa[SUP] 2 [/SUP], Livia Maia Pascoal[SUP] 1 2 [/SUP], Floriacy Stabnow Santos[SUP] 2 [/SUP], Iolanda Graepp Fontoura[SUP] 3 [/SUP], Jaisane Santos Melo Lobato[SUP] 3 [/SUP], Volmar Morais Fontoura[SUP] 4 [/SUP], Ana Lucia Fernandes Pereira[SUP] 2 [/SUP], Leonardo Hunaldo Dos Santos[SUP] 2 [/SUP], Marcelino Santos Neto[SUP] 1 2 [/SUP]
Affiliations
Abstract
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.
Keywords: COVID-19; coronavirus infections; epidemiology; mortality; spatiotemporal analysis.
. 2021 Jul 12;trab098.
doi: 10.1093/trstmh/trab098. Online ahead of print.
Deaths due to COVID-19 in a state of northeastern Brazil: spatiotemporal distribution, sociodemographic and clinical and operational characteristics
Weslei Melo da Silva[SUP] 1 [/SUP], Paula Dos Santos Brito[SUP] 2 [/SUP], Giana Gislanne da Silva de Sousa[SUP] 1 [/SUP], Livia Fernanda Siqueira Santos[SUP] 2 [/SUP], Janiel Conceição da Silva[SUP] 2 [/SUP], Ana Cristina Pereira de Jesus Costa[SUP] 2 [/SUP], Livia Maia Pascoal[SUP] 1 2 [/SUP], Floriacy Stabnow Santos[SUP] 2 [/SUP], Iolanda Graepp Fontoura[SUP] 3 [/SUP], Jaisane Santos Melo Lobato[SUP] 3 [/SUP], Volmar Morais Fontoura[SUP] 4 [/SUP], Ana Lucia Fernandes Pereira[SUP] 2 [/SUP], Leonardo Hunaldo Dos Santos[SUP] 2 [/SUP], Marcelino Santos Neto[SUP] 1 2 [/SUP]
Affiliations
- PMID: 34252184
- DOI: 10.1093/trstmh/trab098
Abstract
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.
Keywords: COVID-19; coronavirus infections; epidemiology; mortality; spatiotemporal analysis.