Mortality and case fatality rates of COVID-19 in the State of Goiás, Brazil

Rodrigo Alexandre Trivilato; Tassiane Cristina Morais; Blanca Elena Guerrero Daboin; Matheus Paiva Emidio Cavalcanti; Lucas Cauê Jacintho; Rodrigo Daminello Raimundo; Jorge de Oliveira Echeimberg; Khalifa Elmusharaf; Carlos Eduardo Siqueira; José Luiz de Figueiredo

doi:10.36311/JHGD.V31.12781

Mortality and case fatality rates of COVID-19 in the State of Goiás, Brazil

Rodrigo Alexandre Trivilato
, Tassiane Cristina Morais
, Blanca Elena Guerrero Daboin
, Matheus Paiva Emidio Cavalcanti
, Lucas Cauê Jacintho
, Rodrigo Daminello Raimundo
, Jorge de Oliveira Echeimberg
, Khalifa Elmusharaf
, Carlos Eduardo Siqueira
, José Luiz de Figueiredo^*

^*Corresponding author for this work

Applied Health Sciences

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

30 Downloads (Pure)

Abstract

Introduction: the initial spread of the pandemic in Brazil was mainly affected by patterns of socioeconomic vulnerability. It should be noted that the Central-West region of Brazil is one of the regions with the lowest number of cases, but the states of this region together have the highest mortality rate of COVID-19 in the country. Goiás was the most affected state of this region, with the highest number of deaths in the area.

Objective: to assess the incidence of mortality and lethality caused by COVID-19 from March 2020 to June 2021 in the State of Goiás, Brazil.

Methods: an ecological study, using a series of time series of public and official data of the Department of Health of the State of Goiás, Brazil. Information was collected on cases and deaths from COVID-19 from March 2020 to June 2021. Mortality, case fatality, and incidence rates were calculated. The Prais-Wisten regression model was used to build time series. The daily percent change (DPC) and the effective reproductive number (Rt) were estimated.

Results: Goiás had a predominance of a greater viral spread during the first and the beginning of the second wave, with Rt higher than 1. The second wave from December 2020 to June 2021 was more lethal and had higher mortality rates than the first wave. It was observed, higher scores of case fatality and mortality belonged to males and the elderly.

Conclusion: an analysis of mortality and case fatality rates helps understand the COVID-19 pandemic behavior in Goiás. It is essential to monitor epidemiological indicators and strengthen intervention strategies to contain the pandemic in this state.

Original language	English
Pages (from-to)	521-532
Number of pages	12
Journal	Journal of Human Growth and Development
Volume	31
Issue number	3
Early online date	30 Nov 2021
DOIs	https://doi.org/10.36311/JHGD.V31.12781
Publication status	Published - 1 Dec 2021

Bibliographical note

Funding Information:
We want to thank Célia Guarnieri da Silva for providing the map illustrated in this study and Henrique Moraes Ramos da Silva for his support in retrieving and handling the data.

Publisher Copyright:
© The authors (2021).

Keywords

Case fatality rate
Covid-19
Epidemiology
Mortality
Trends

ASJC Scopus subject areas

Life-span and Life-course Studies

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Cite this

Trivilato, R. A., Morais, T. C., Daboin, B. E. G., Cavalcanti, M. P. E., Jacintho, L. C., Raimundo, R. D., de Oliveira Echeimberg, J., Elmusharaf, K., Siqueira, C. E., & de Figueiredo, J. L. (2021). Mortality and case fatality rates of COVID-19 in the State of Goiás, Brazil. Journal of Human Growth and Development, 31(3), 521-532. https://doi.org/10.36311/JHGD.V31.12781

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title = "Mortality and case fatality rates of COVID-19 in the State of Goi{\'a}s, Brazil",

abstract = "Introduction: the initial spread of the pandemic in Brazil was mainly affected by patterns of socioeconomic vulnerability. It should be noted that the Central-West region of Brazil is one of the regions with the lowest number of cases, but the states of this region together have the highest mortality rate of COVID-19 in the country. Goi{\'a}s was the most affected state of this region, with the highest number of deaths in the area. Objective: to assess the incidence of mortality and lethality caused by COVID-19 from March 2020 to June 2021 in the State of Goi{\'a}s, Brazil. Methods: an ecological study, using a series of time series of public and official data of the Department of Health of the State of Goi{\'a}s, Brazil. Information was collected on cases and deaths from COVID-19 from March 2020 to June 2021. Mortality, case fatality, and incidence rates were calculated. The Prais-Wisten regression model was used to build time series. The daily percent change (DPC) and the effective reproductive number (Rt) were estimated. Results: Goi{\'a}s had a predominance of a greater viral spread during the first and the beginning of the second wave, with Rt higher than 1. The second wave from December 2020 to June 2021 was more lethal and had higher mortality rates than the first wave. It was observed, higher scores of case fatality and mortality belonged to males and the elderly. Conclusion: an analysis of mortality and case fatality rates helps understand the COVID-19 pandemic behavior in Goi{\'a}s. It is essential to monitor epidemiological indicators and strengthen intervention strategies to contain the pandemic in this state.",

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author = "Trivilato, \{Rodrigo Alexandre\} and Morais, \{Tassiane Cristina\} and Daboin, \{Blanca Elena Guerrero\} and Cavalcanti, \{Matheus Paiva Emidio\} and Jacintho, \{Lucas Cau{\^e}\} and Raimundo, \{Rodrigo Daminello\} and \{de Oliveira Echeimberg\}, Jorge and Khalifa Elmusharaf and Siqueira, \{Carlos Eduardo\} and \{de Figueiredo\}, \{Jos{\'e} Luiz\}",

note = "Funding Information: We want to thank C{\'e}lia Guarnieri da Silva for providing the map illustrated in this study and Henrique Moraes Ramos da Silva for his support in retrieving and handling the data. Publisher Copyright: {\textcopyright} The authors (2021).",

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doi = "10.36311/JHGD.V31.12781",

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AU - Trivilato, Rodrigo Alexandre

AU - Morais, Tassiane Cristina

AU - Daboin, Blanca Elena Guerrero

AU - Cavalcanti, Matheus Paiva Emidio

AU - Jacintho, Lucas Cauê

AU - Raimundo, Rodrigo Daminello

AU - de Oliveira Echeimberg, Jorge

AU - Elmusharaf, Khalifa

AU - Siqueira, Carlos Eduardo

AU - de Figueiredo, José Luiz

N1 - Funding Information: We want to thank Célia Guarnieri da Silva for providing the map illustrated in this study and Henrique Moraes Ramos da Silva for his support in retrieving and handling the data. Publisher Copyright: © The authors (2021).

PY - 2021/12/1

Y1 - 2021/12/1

N2 - Introduction: the initial spread of the pandemic in Brazil was mainly affected by patterns of socioeconomic vulnerability. It should be noted that the Central-West region of Brazil is one of the regions with the lowest number of cases, but the states of this region together have the highest mortality rate of COVID-19 in the country. Goiás was the most affected state of this region, with the highest number of deaths in the area. Objective: to assess the incidence of mortality and lethality caused by COVID-19 from March 2020 to June 2021 in the State of Goiás, Brazil. Methods: an ecological study, using a series of time series of public and official data of the Department of Health of the State of Goiás, Brazil. Information was collected on cases and deaths from COVID-19 from March 2020 to June 2021. Mortality, case fatality, and incidence rates were calculated. The Prais-Wisten regression model was used to build time series. The daily percent change (DPC) and the effective reproductive number (Rt) were estimated. Results: Goiás had a predominance of a greater viral spread during the first and the beginning of the second wave, with Rt higher than 1. The second wave from December 2020 to June 2021 was more lethal and had higher mortality rates than the first wave. It was observed, higher scores of case fatality and mortality belonged to males and the elderly. Conclusion: an analysis of mortality and case fatality rates helps understand the COVID-19 pandemic behavior in Goiás. It is essential to monitor epidemiological indicators and strengthen intervention strategies to contain the pandemic in this state.

AB - Introduction: the initial spread of the pandemic in Brazil was mainly affected by patterns of socioeconomic vulnerability. It should be noted that the Central-West region of Brazil is one of the regions with the lowest number of cases, but the states of this region together have the highest mortality rate of COVID-19 in the country. Goiás was the most affected state of this region, with the highest number of deaths in the area. Objective: to assess the incidence of mortality and lethality caused by COVID-19 from March 2020 to June 2021 in the State of Goiás, Brazil. Methods: an ecological study, using a series of time series of public and official data of the Department of Health of the State of Goiás, Brazil. Information was collected on cases and deaths from COVID-19 from March 2020 to June 2021. Mortality, case fatality, and incidence rates were calculated. The Prais-Wisten regression model was used to build time series. The daily percent change (DPC) and the effective reproductive number (Rt) were estimated. Results: Goiás had a predominance of a greater viral spread during the first and the beginning of the second wave, with Rt higher than 1. The second wave from December 2020 to June 2021 was more lethal and had higher mortality rates than the first wave. It was observed, higher scores of case fatality and mortality belonged to males and the elderly. Conclusion: an analysis of mortality and case fatality rates helps understand the COVID-19 pandemic behavior in Goiás. It is essential to monitor epidemiological indicators and strengthen intervention strategies to contain the pandemic in this state.

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KW - Covid-19

KW - Epidemiology

KW - Mortality

KW - Trends

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AN - SCOPUS:85122261853

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JO - Journal of Human Growth and Development

JF - Journal of Human Growth and Development

IS - 3

ER -

Mortality and case fatality rates of COVID-19 in the State of Goiás, Brazil

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this