Your browser doesn't support javascript.
loading
Infection and Death Patterns of COVID-19 Disease in Bangladesh / Padrões de infecção e morte da doença COVID-19 em Bangladesh
Muyeed, Abdul; Siddiqi, Md. Nure Alam; Saha, Tushar Kanti; Goni, Md. Abdul.
  • Muyeed, Abdul; Jatiya Kabi Kazi Nazrul Islam University. Trishal. BD
  • Siddiqi, Md. Nure Alam; Jatiya Kabi Kazi Nazrul Islam University. Trishal. BD
  • Saha, Tushar Kanti; Jatiya Kabi Kazi Nazrul Islam University. Trishal. BD
  • Goni, Md. Abdul; University of Rajshahi. Rajshahi. BD
J. Health Biol. Sci. (Online) ; 8(1): 1-7, 20200101. ilus
Article in English | LILACS | ID: biblio-1129916
ABSTRACT

Objectives:

This study aimed to reveal the prevalence of COVID-19 and investigate the patterns of deaths due to novel coronavirus in Bangladesh.

Methods:

The data about daily incidences, sex and deaths by the geography of COVID-19 for Bangladesh as of August 29, 2020 have been collected from the daily press releases of the Institute of Epidemiology, Disease Control and Research (IEDCR) and Directorate General of Health Services (DGHS). Case fatality rates (CFR), doubling time, correlation coefficient and graphical presentation were used to investigate the prevalence and patterns of infection and deaths.

Results:

Infection to tests, recovery to infections and death to infection rates due to novel coronavirus in Bangladesh until August 29, 2020 was 20.25%, 64.37% and 1.36% respectively. The correlation coefficient between daily tests and infections has found 0.978 with a 95% confidence interval 0.971 to 0.984. About 78.46% male and only 21.54% of females have died. Most deaths were found in the Dhaka division (48.26%) and the least deaths in the Mymensingh division (2.12%). The sex ratio of males to females in deaths was 364.23%. The age below 10 has found the least prevalent (0.45%) to deaths and above 60 has found most vulnerable (49.26%) to death.

Conclusions:

This study showed a strong positive relationship between daily tests and infections. The doubling time of infections and deaths in Bangladesh increased over time maintaining very low differences. Male people are more vulnerable to death compare to females. Aged people are extremely vulnerable to death. The most deaths geographical division is Dhaka and the least deaths in Mymensingh.
RESUMO

Objetivos:

o objetivo deste estudo foi revelar a prevalência de COVID-19 e investigar os padrões de mortes por novos coronavírus em Bangladesh.

Métodos:

os dados sobre incidências diárias, sexo e mortes por geografia de COVID-19 para Bangladesh em 29 de agosto de 2020 foram coletados dos comunicados de imprensa diários do Instituto de Epidemiologia, Controle e Pesquisa de Doenças (IEDCR) e da Diretoria Geral de Serviços de Saúde (DGHS). As taxas de letalidade (CFR), o tempo de duplicação, o coeficiente de correlação e a apresentação gráfica foram usados para investigar a prevalência e os padrões de infecção e mortes.

Resultados:

as taxas de infecção para testes, recuperação de infecções e morte por infecção devido a novo coronavírus em Bangladesh até 29 de agosto de 2020 foram de 20,25%, 64,37% e 1,36%, respectivamente. O coeficiente de correlação entre os testes diários e infecções encontrou 0,978 com intervalo de confiança de 95% 0,971 a 0,984. Cerca de 78,46% homens e apenas 21,54% mulheres morreram. A maioria das mortes foi encontrada na divisão de Dhaka (48,26%) e menos mortes na divisão Mymensingh (2,12%). A proporção do sexo entre homens e mulheres nas mortes foi de 364,23%. A faixa etária abaixo de 10 apresentou menor prevalência (0,45%) aos óbitos e acima de 60 foi considerada mais vulnerável (49,26%) ao óbito.

Conclusões:

este estudo mostrou uma forte relação positiva entre testes diários e infecções. O tempo de duplicação de infecções e mortes em Bangladesh aumentou com o tempo, mantendo diferenças muito baixas. Os homens são mais vulneráveis à morte do que as mulheres. Pessoas idosas são extremamente vulneráveis à morte. A divisão geográfica com mais mortes é Dhaka e menos mortes é Mymensingh.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Coronavirus Infections / Coronavirus Type of study: Incidence study / Prognostic study / Risk factors Country/Region as subject: Asia Language: English Journal: J. Health Biol. Sci. (Online) Journal subject: Ciˆncias da Sa£de / Disciplinas das Ciˆncias Biol¢gicas Year: 2020 Type: Article Affiliation country: Bangladesh Institution/Affiliation country: Jatiya Kabi Kazi Nazrul Islam University/BD / University of Rajshahi/BD

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Index: LILACS (Americas) Main subject: Coronavirus Infections / Coronavirus Type of study: Incidence study / Prognostic study / Risk factors Country/Region as subject: Asia Language: English Journal: J. Health Biol. Sci. (Online) Journal subject: Ciˆncias da Sa£de / Disciplinas das Ciˆncias Biol¢gicas Year: 2020 Type: Article Affiliation country: Bangladesh Institution/Affiliation country: Jatiya Kabi Kazi Nazrul Islam University/BD / University of Rajshahi/BD