Risk assessment and clinical implications of COVID-19 in multiple myeloma patients: A systematic review and meta-analysis.

INTRODUCTION: Patients with multiple myeloma (MM) face heightened infection susceptibility, particularly severe risks from COVID-19. This study, the first systematic review in its domain, seeks to assess the impacts of COVID-19 on MM patients. METHOD: Adhering to PRISMA guidelines and PROSPERO registration (ID: CRD42023407784), this study conducted an exhaustive literature search from January 1, 2020, to April 12, 2024, using specified search terms in major databases (PubMed, EMBASE, and Web of Science). Quality assessment utilized the JBI Critical checklist, while publication bias was assessed using Egger's test and funnel plot. The leave-one-out sensitivity analyses were performed to assess the robustness of the results by excluding one study at a time to identify studies with a high risk of bias or those that significantly influenced the overall effect size. Data synthesis involved fitting a random-effects model and estimating meta-regression coefficients. RESULTS: A total of 14 studies, encompassing a sample size of 3214 yielded pooled estimates indicating a hospitalization rate of 53% (95% CI: 40.81, 65.93) with considerable heterogeneity across studies (I2 = 99%). The ICU admission rate was 17% (95% CI: 11.74, 21.37), also with significant heterogeneity (I2 = 94%). The pooled mortality rate was 22% (95% CI: 15.33, 28.93), showing high heterogeneity (I2 = 97%). The pooled survival rate stood at 78% (95% CI: 71.07, 84.67), again exhibiting substantial heterogeneity (I2 = 97%). Subgroup analysis and meta-regression highlighted that study types, demographic factors, and patient comorbidities significantly contributed to the observed outcome heterogeneity, revealing distinct patterns. Mortality rates increased by 15% for participants with a median age above 67 years. ICU admission rates were positively correlated with obesity, with a 20% increase for groups with at least 19% obesity. Mortality rates rose by 33% for the group of patients with at least 19% obesity, while survival rates decreased by 33% in the same group. CONCLUSION: Our meta-analysis sheds light on diverse COVID-19 outcomes in multiple myeloma. Heterogeneity underscores complexities, and study types, demographics, and co-morbidities significantly influence results, emphasizing the nuanced interplay of factors.

Prevalence of HIV and syphilis and their co-infection among men having sex with men in Asia: A systematic review and meta-analysis.

Background: Studies found that the group of men who have sex with men (MSM) is at a very high level of risk of HIV and sexually transmitted infections (STIs) in Asian regions due to multiple reasons. Although the prevalence of HIV among general people in Asia is considered low, the prevalence of HIV and Syphilis among MSM in this region was found very high and usually, it goes unnoticed. This study aimed to inspect the prevalence of and trends in HIV, Syphilis, and their co-infection among MSM in Asia. Methods: A systematic search was performed on January 5, 2021, in PubMed, Web of Science, and Google Scholar databases. To evaluate the heterogeneity, Q-tests, and I 2 were used. To explore the publication bias, Eggers' test and funnel plot were used. The random-effect model and subgroup analysis were performed due to the significant heterogeneity. Results: A total of 2872 articles were identified, and 66 articles were included in the final analysis. The overall prevalence of HIV and Syphilis among MSM was estimated considering 69 estimates from 66 studies whereas 19 estimates of co-infection were found in 17 studies. The pooled HIV prevalence was 8.48% (CI: 7.01-9.95) and the pooled Syphilis prevalence was 9.86% (CI: 8.30-11.41) with significant heterogeneity and publication bias. The pooled prevalence of HIV and Syphilis co-infection was 2.99% (CI: 1.70-4.27) with significant heterogeneity and no publication bias. The HIV, Syphilis, and HIV-Syphilis co-infection prevalence estimates exhibited an upward trend during 2002-2017. Conclusions: HIV, Syphilis, and their co-infection are quite prevalent among MSM in the Asia-Pacific region. Integrated and intensified intervention strategies, HIV testing, and improved access to antiretroviral treatment as well as increased awareness are needed to reduce HIV, Syphilis, and their co-infection among the discussed vulnerable group.

Machine learning approaches for predicting suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic: A cross-sectional study.

Psychological and behavioral stress has increased enormously during Coronavirus Disease 2019 (COVID-19) pandemic. However, early prediction and intervention to address psychological distress and suicidal behaviors are crucial to prevent suicide-related deaths. This study aimed to develop a machine algorithm to predict suicidal behaviors and identify essential predictors of suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic. An anonymous online survey was conducted among university students in Bangladesh from June 1 to June 30, 2022. A total of 2391 university students completed and submitted the questionnaires. Five different Machine Learning models (MLMs) were applied to develop a suitable algorithm for predicting suicidal behaviors among university students. In predicting suicidal behaviors, the most crucial background and demographic features were relationship status, friendly environment in the family, family income, family type, and sex. In addition, features related to the impact of the COVID-19 pandemic were identified as job loss, economic loss, and loss of family/relatives due to COVID-19. Moreover, factors related to mental health include depression, anxiety, stress, and insomnia. The performance evaluation and comparison of the MLM showed that all models behaved consistently and were comparable in predicting suicidal risk. However, the Support Vector Machine was the best and most consistent performing model among all MLMs in terms of accuracy (79%), Kappa (0.59), receiver operating characteristic (0.89), sensitivity (0.81), and specificity (0.81). Support Vector Machine is the best-performing model for predicting suicidal risks among university students in Bangladesh and can help in designing appropriate and timely suicide prevention interventions.

Knowledge, attitude, practices, and determinants of them toward tuberculosis among social media users in Bangladesh: A cross-sectional study.

OBJECTIVES: Tuberculosis (TB) is an infectious disease that causes thousands of deaths in Bangladesh. Bangladesh is one of the 30 high TB burden countries. In this study, we aimed to assess the knowledge, practices, and attitude toward TB, and to determine the factors associated with them among people who have internet access in Bangladesh. Design, Setting, and Participant: A web-based anonymous cross-sectional survey was conducted from May 20 to August 10, 2021, among people (age> = 18 years) who have internet access in Bangladesh. A comprehensive consent statement was included at the beginning of the survey and informed consent was taken. OUTCOME MEASURES: This study's outcomes of interest were respondents' adequate knowledge, good practices, and positive attitudes toward TB and were coded binarily. The association between respondents' socio-demographic factors and knowledge, attitude, and practices toward TB was inspected using the Chi-square test and Multivariable logistic regression model. RESULTS: Among 1,180 respondents, 58.64% were males, and 62.37% were married. The majority of the participants (78.28%) were aged between 18 to 44 years. Overall adequate knowledge, favorable attitudes, and good practices about TB were found respectively in 47.8%, 44.75%, and 31.19% of the people with internet access in Bangladesh. Almost the same sets of associated factors were found to influence adequate knowledge, favorable attitudes, and good practices toward TB among social media users in Bangladesh. Males, young, unmarried, social media users with higher education, and urban social media users were more likely to have adequate knowledge, favorable attitudes, and good practices toward TB. CONCLUSION: Policymakers need to design programs and interventions to improve knowledge, attitudes, and practices toward TB in Bangladesh with a particular focus on females, young and older people, people who live in rural areas, and illiterate/less educated people. Social media can be a powerful medium for disseminating scientific facts on TB and other diseases.

The acceptance of COVID-19 vaccine at early stage of development and approval: A global systematic review and meta-analysis.

Background: Vaccination seems to be the most effective way to prevent and control the spread of COVID-19, a disease that has adversely impacted the lives of over 7 billion people across the globe. Vaccine hesitancy represents an important threat to combat infectious diseases worldwide. This study aims to inspect the COVID-19 vaccine acceptance rate worldwide and the regional variation of the acceptance rates among the general population and healthcare workers across different territories of the world. In addition, it compares the vaccine acceptance rates between the pre- and post-vaccine approval periods. Method: A comprehensive systematic review was conducted using PRISMA statements. After quality evaluation, the data from eligible studies were analyzed using the random effect model. Q-test and I 2 statistics were used to search for heterogeneity. The publication bias was assessed by using Egger's test and funnel plot. Results: The combined COVID-19 vaccine acceptance rate among the general population and healthcare workers (n = 1,581,562) was estimated at 62.79% (95% CI: 58.98-66.60). The acceptance rate substantially decreased from 66.29% (95% CI: 61.24-71.35) to 56.69% (95% CI: 48.68-64.71) among the general population from the pre-to post-vaccine approval periods but remained almost constant at 58.25% (95% CI: 46.52-69.97) among healthcare workers. The acceptance rates also varied in different regions of the world. The highest acceptance rate was found in the South-East Asia region at 70.18% (95% CI: 58.12-82.25) and the lowest was found in African Region at 39.51% (95% CI: 23.42-55.59). Conclusion: Low COVID-19 vaccine acceptance rate might be a massive barrier to controlling the pandemic. More research is needed to address the responsible factors influencing the low global rate of COVID-19 vaccine acceptance. Integrated global efforts are required to remove the barriers.

Side effects of COVID-19 vaccines and perceptions about COVID-19 and its vaccines in Bangladesh: A Cross-sectional study.

Objective: One of the primary reasons for hesitancy in taking COVID-19 vaccines is the fear of side effects. This study primarily aimed to inspect the potential side effects of the COVID-19 vaccines circulated in Bangladesh.Design and Settings.The study was based on a cross-sectional anonymous online survey conducted in December 2021 across Bangladesh.Participants.The study included consenting Bangladeshi individuals aged 12 and above who had received at least one dose of the COVID-19 vaccines.Main Outcome.Analyses were carried out through exploratory analysis, Chi-square test, and logistic regression to investigate potential side effects of the COVID-19 vaccines. Results: A total of 1,180 vaccinated people participated in the study. Only 39.48% of the participants reported at least one side effect after receiving their COVID-19 vaccine. Injection-site pain, fever, headache, redness/swelling at the injection site, and lethargy were the most commonly reported adverse effects, all of which were mild and lasted 1-3 days. Side effects were most prevalent (about 80%) among individuals who received Pfizer-BioNTech and Moderna vaccines and were least common among those who received Sinopharm and Sinovac vaccines (21%-28%). When compared to the Sinopharm vaccines, the OxfordAstraZeneca, Pfizer-BioNTech, and Moderna vaccines were 4.51 times (95% CI: 2.53-8.04), 5.37 times (95% CI: 2.57-11.22), and 4.28 times (95% CI: 2.28-8.05) likelier to produce side effects. Furthermore, males, those over 50 years old, urban dwellers, smokers, and those with underlying health issues had a considerably increased risk of developing side effects. A lack of confidence in vaccines' efficacy and a substantial level of hesitancy in allowing children (age five years or over) and older people (70 years or over) to receive COVID-19 vaccines were also observed. Conclusion: Side effects of COVID-19 vaccines are minimal, demonstrating their safety. Efforts should be made to disseminate such findings worldwide to increase vaccine uptake.

Gender Differences in Service Quality of Upazila Health Complex in Bangladesh.

The gender-based differences in satisfaction on the service quality of the Upazila Health Complex (UHC) in Bangladesh are assessed in this paper using the SERVQUAL model. Two Upazila, field administrative unit of Bangladesh, of Meherpur district of Bangladesh, were selected to conduct the study. The study used a quantitative approach, primarily using the survey method. The research found that the perception of male and female on service quality of UHC varies significantly. Though they have a similar perception of reliability dimension, females still have a comparatively more positive perception of accessibility, tangibles, empathy, and responsiveness dimensions to UHC than male service receivers. The regression result showed that responsiveness is the key factor to bring satisfaction in service, while empathy and accessibility moderately influence service receivers' satisfaction. The findings will be useful for policymakers, public health stakeholders, earnest learners, practitioners, and academia.

The global prevalence of depression, anxiety, stress, and, insomnia and its changes among health professionals during COVID-19 pandemic: A rapid systematic review and meta-analysis.

BACKGROUND: During the COVID-19 pandemic, the health professionals who are at the frontline of this crisis have been facing extreme psychological disorders. This research aims to provide an overall scenario of the prevalence of depression, anxiety, stress, as well as insomnia and to inspect the changes in these prevalence over time by analyzing the existing evidence during this COVID-19 pandemic. METHODS: A systematic search was performed on March 30, 2021, in PubMed, MEDLINE, Google Scholar databases, and Web of Science. To assess the heterogeneity, Q-test, I 2 statistics, and Meta regression and to search for the publication bias, Eggers's test and funnel plot were used. The random-effect model and subgroup analysis were performed due to the significant heterogeneity. RESULTS: Among eighty-three eligible studies in the final synthesis, 69 studies (n = 144649) assessed the depression prevalence of 37.12% (95% CI: 31.80-42.43), 75 studies (n = 147435) reported the anxiety prevalence of 41.42% (95% CI: 36.17-46.54), 41 studies (n = 82783) assessed the stress prevalence of 44.86% (95% CI: 36.98-52.74), 21 studies (n = 33370) enunciated the insomnia prevalence of 43.76% (95% CI: 35.83-51.68). The severity of the mental health problems among health professionals increased over the time during January 2020 to September 2020. LIMITATIONS: A significant level of heterogeneity was found among psychological measurement tools and across studies. CONCLUSIONS: Therefore, it is an emergency to develop psychological interventions that can protect the mental health of vulnerable groups like health professionals.

Patients' Satisfaction on the Service Quality of Upazila Health Complex in Bangladesh.

This article attempts to measure the state of satisfaction of patients over the quality of health care as well as identify the crucial factors that affect the patients' satisfaction in Upazila Health Complex (UHC). The quantitative approach was used following a structured questionnaire survey method. Four hundred visitors of 2 UHCs in Meherpur district were randomly selected as respondents for the study. The Statistical Package for Social Science IBM version 24 and R software (version 4.0.2) were used to run descriptive statistics, χ2 test, confirmatory factor analysis, and principal component analysis for quantitative data analysis. The data reveal that the overall satisfaction score is (2.75 ± 0.943). A 3-dimension model of service quality is found to have a significant relationship with patients' satisfaction at the rural level. Care providers' attitude and responsiveness in service delivery are found to be the most vital factor, while the tangibles and accessibility factors moderately influence the patient's satisfaction on the service quality at UHCs.

Gender Disparities of Youths in Trust on Health Management System during Post-COVID-19 in Bangladesh / Disparidades de gênero de jovens na confiança em sistemas de gestão de saúde durante o período pós-COVID-19 em Bangladesh

Objective: The purpose of this paper is to find out the gender-based disparities in trust in the public health measures taken in Bangladesh during the post-COVID-19 pandemic. Methods: A cross-sectional study design and quantitative research approach were used to collect primary data. A total of 742 students from different socioeconomic backgrounds participated in the survey randomly by filling up a structured questionnaire from 15 June 2022 to 10 July 2022. The Wilks' λ statistic, MANOVA, and Regression analysis were performed in this study to find out the gender-based differences in trust in the public health measures taken in Bangladesh during the post-COVID-19 pandemic. Results: In a multivariate test, the p-value is 0.018 (p<0.05), which implies a significant difference between the trust of males and females among youths about public health measures during the post-COVID-19 pandemic in Bangladesh. This study provides that overall infrastructure, responsiveness, and attachments have a significant correlation with youth trust as all the p-values < 0.001. Conclusions: Health infrastructure and youths' attachment to the various networks and institutions have more impact on determining the level of trust in government health measures during the post-pandemic than the way of government responsiveness; policymakers and advocates will get significant insight from the findings of the study during post-COVID-19. Without gender-sensitive health policy measures, gaining citizens' trust in the government will be difficult.

Objetivo: descobrir as disparidades de confiança baseadas em gênero nas medidas de saúde pública tomadas em Bangladesh, durante a pandemia pós-COVID-19. Métodos: um desenho de estudo transversal e abordagem de pesquisa quantitativa foram usados para coletar dados primários. Um total de 742 estudantes de diferentes origens socioeconômicas participaram da pesquisa aleatoriamente, preenchendo um questionário estruturado de 15 de junho de 2022 a 10 de julho de 2022. A estatística λ de Wilks, MANOVA e a análise de regressão foram realizadas neste estudo para descobrir o sexo - diferenças baseadas na confiança nas medidas de saúde pública tomadas em Bangladesh, durante a pandemia pós-COVID-19. Resultados: em um teste multivariado, o p-valor é 0,018 (p<0.05), o que implica uma diferença significativa entre a confiança de homens e mulheres entre jovens sobre medidas de saúde pública durante a pandemia pós-COVID-19 em Bangladesh. Este estudo fornece que a infraestrutura geral, a capacidade de resposta e os vínculos têm uma correlação significativa com a confiança dos jovens, pois todos os valores de p < 0.001. Conclusões: a infraestrutura de saúde e o vínculo dos jovens às várias redes e instituições têm mais impacto na determinação do nível de confiança nas medidas governamentais de saúde durante o pós-pandemia do que na forma de resposta do governo; os formuladores de políticas e defensores obterão uma visão significativa das descobertas do estudo durante o período pós-COVID-19. Sem medidas de política de saúde sensíveis ao gênero, será difícil ganhar a confiança dos cidadãos para o governo.

The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020 / Prevalência e gravidade da COVID-19 em países afiliados à SAARC: análise de padrões durante a primeira onda em 2020

Objectives: This study aimed to explore the prevalence and severity of COVID-19 disease in SAARC affiliated countries and show the comparison by analyzing the patterns of infections, recoveries, and deaths among the countries. Methods: The data related to COVID-19 of SAARC affiliated countries were collected from Worldometer in which the dataset consists of daily confirmed, recovery, and death cases. To compare the prevalence and severity of COVID-19 among these countries, we consider three parameters such as case fatality rate (CFR), recovery-to-death ratio (RDR), and percent active case (PAC). Results: The highest daily CFR among the SAARC affiliated countries was in Bangladesh followed by Afghanistan, India, Sri Lanka, Pakistan, Nepal and the Maldives according to the maximum CFR of the countries until 24 October 2020. The highest RDR among the SAARC affiliated countries was in Nepal followed by the Maldives, Sri Lanka, India, Bangladesh, Pakistan, Afghanistan until 24 October. The most prevalent country according to infection per million people by COVID-19 among the SAARC affiliated countries is the Maldives followed by India, Nepal, Bangladesh, Pakistan, Afghanistan, Bhutan, and Sri Lanka as of October 24. The most death prevalent country per million people is India followed by the Maldives, Afghanistan, Bangladesh, Pakistan, Nepal, Sri Lanka, and no people died in Bhutan until October 24, 2020. Conclusion: This study shows that the severity of COVID-19 is high in the Maldives in terms of infections and India in terms of deaths per million in SAARC, so India is at high risk among the countries.

Objetivos: Este estudo teve como objetivo explorar a prevalência e gravidade da doença COVID-19 em países afiliados à SAARC e mostrar a comparação por meio da análise dos padrões de infecções, recuperações e mortes entre os países. Métodos: Os dados relacionados ao COVID-19 dos países afiliados à SAARC foram coletados do worldometer no qual o conjunto de dados consiste em casos diários confirmados, de recuperação e de óbito. Para comparar a prevalência e gravidade de COVID-19 entre esses países, consideramos três parâmetros, como taxa de letalidade (CFR), razão de recuperação para óbito (RDR) e porcentagem de casos ativos (PAC). Resultados: O CFR diário mais alto entre os países afiliados da SAARC foi em Bangladesh, seguido pelo Afeganistão, Índia, Sri Lanka, Paquistão, Nepal, Maldivas, de acordo com o CFR máximo dos países até 24 de outubro de 2020. O RDR mais alto entre os países afiliados da SAARC foi no Nepal, seguido por Maldivas, Sri Lanka, Índia, Bangladesh, Paquistão, Afeganistão até 24 de outubro. O país mais prevalente, de acordo com a infecção por milhão de pessoas por COVID-19 entre os países afiliados à SAARC, é as Maldivas, seguido pela Índia, Nepal, Bangladesh, Paquistão, Afeganistão, Butão e Sri Lanka em 24 de outubro. País com maior prevalência de morte em por milhão de pessoas é a Índia, seguida por Maldivas, Afeganistão, Bangladesh, Paquistão, Nepal, Sri Lanka, e nenhuma pessoa morreu no Butão até 24 de outubro de 2020. Conclusão: Este estudo mostra que a gravidade do COVID-19 é alta nas Maldivas em termos de infecções e na Índia, em termos de mortes por milhão na SAARC. Portanto, a Índia está em alto risco entre os países.

Estimation and Prediction of Case Fatality Rates, Recovery-to-Death Ratio of COVID-19 Disease during the Second Wave in Bangladesh / Estimativa e previsão de taxas de letalidade, taxa de recuperação / óbito da doença COVID-19 durante a segunda onda em Bangladesh

Objectives: This study aimed to estimate the CFR and RDR of COVID-19 disease during the second wave in Bangladesh and also intended to predict the trend of COVID-19 infected and death cases, case fatality rate (CFR) and recovery-to-death ratio (RDR) using Facebook Prophet Model (FPM). Methods: Daily time series data of COVID-19 cases for 512 days used in this study was taken from worldometer. The FPM was used to predict the daily infections, deaths, CFR, and RDR of COVID-19 disease in Bangladesh as of August 01, 2021. Results: About 71% male and 29% female people were infected, most susceptible age group to be infected was 21 to 30 (27.6%) and below 10 (2.9%) was the least infected group as of August 01, 2021. The oldest age group (>60) was the most endanger to death (55.2%) and the youngest (<10) was the least death (0.3%) age group. Overall CFR was found at 1.654% which is less than the world CFR (2.13%) on August 01, 2021. The RDR was estimated at 52.269 which is below the world RDR 42.36 on August 01, 2021, in Bangladesh. Predicted infections and deaths exhibited an upward trend, daily CFR designates roughly constant trend, and daily RDR indicates a downward trend in Bangladesh at this ongoing second wave. Conclusion: The male people are more prone to be infected and dead. The oldest age group is more threatened to death and the youngest is least due to COVID-19 in Bangladesh. Both the predicted infections and deaths increasing, daily CFRs are roughly constant and daily RDR is decreasing in the second wave in Bangladesh due to the COVID-19 pandemic.

Objetivos: Este estudo teve como objetivo estimar o CFR e RDR da doença COVID-19 durante a segunda onda em Bangladesh e também prever a tendência de casos de infecção e morte por COVID-19, taxa de letalidade (CFR) e taxa de mortalidade de recuperação (RDR) usando o Facebook Prophet Model (FPM). Métodos: Dados de séries temporais diárias dos casos COVID-19 para 512 dias usados neste estudo foram retirados do worldometer. O FPM foi usado para prever as infecções diárias, mortes, CFR e RDR da doença COVID-19 em Bangladesh a partir de 01 de agosto de 2021. Resultados: Cerca de 71% dos homens e 29% das mulheres estavam infectados. A faixa etária mais suscetível a ser infectada era de 21 a 30 (27,6%) e abaixo de 10 (2,9%) era o grupo menos infectado em 01 de agosto de 2021. O mais velho A faixa etária (> 60) era a que apresentava maior risco de morte (55,2%) e a mais jovem (<10) era a com menor risco de morte (0,3%). O CFR geral foi encontrado em 1,654%, que é menor do que o CFR mundial (2,13%) em 01 de agosto de 2021. O RDR foi estimado em 52,269, que está abaixo do RDR mundial de 42,36 em 01 de agosto de 2021, em Bangladesh. As infecções e mortes previstas exibiram uma tendência ascendente, o CFR diário indica uma tendência quase constante e o RDR diário indica uma tendência descendente em Bangladesh nesta segunda onda em curso. Conclusão: Os homens são mais propensos a serem infectados e mortos. A faixa etária mais velha está mais ameaçada de morte e a mais jovem é a menos devido ao COVID-19 em Bangladesh. Tanto as infecções previstas quanto as mortes aumentam, os CFRs diários são quase constantes e o RDR diário está diminuindo na segunda onda em Bangladesh devido à pandemia de COVID-19.

Prevalence and Severity of COVID-19 Disease in Bangladesh: A Trend Analysis / Prevalência e gravidade da COVID-19 em Bangladesh: Uma análise de tendências

Objective: To investigate the prevalence and changes of events of COVID-19 disease by trending in Bangladesh. Methods: In this study, the daily time series data for nine weeks was used. The daily cases, case fatality rate (CFR), recovery-death-ratio (RDR) and percent changes (PC) associated with COVID-19 disease were used for prevalence and trending. Result: It is found that 68% males and 32% females patients were infected, among them 21 to 30 (26%) was the most and below 10 (3%) was the least infected age group until May 09. The approximate number of days for the infection, recovery and deaths to be doubled are 10, 5 and 18 respectively in Bangladesh as of May 09, 2020. The CFR of Bangladesh is found 1.55% which is less than the CFRs of the world (6.89%), Europe (9.17%), America (5.61%), Africa (3.26%) and South-East Asia (3.52%) as of May 09, 2020. The daily RDR exhibited a downward trend from April 04, 2020 to April 25, 2020 then showed an upward trend until May 09, 2020. Conclusion: The downward trending of the CFR indicates the death rate is low compared to diagnosis. The upward trend of the RDR indicates the recovery caused by COVID-19 is fast compared to deaths over time in Bangladesh. The downward trending of the PC indicates the cases percent of COVID-19 disease is reducing relative to three days prior cases.

Objetivo: investigar a prevalência e as alterações da COVID-19 em Bangladesh. Métodos: foram utilizados os dados diários das séries temporais por nove semanas. Os casos diários, taxa de fatalidade de casos (CFR), razão de recuperação-morte (RDR) e alterações percentuais (CP) associadas à COVID-19 foram utilizados para calcudo da prevalência e tendências da doença. Resultados: verificou-se que 68% dos pacientes do sexo masculino e 32% do sexo feminino estavam infectados, entre eles, 21 a 30 (26%) era a faixa etária mais abaixo e 10 (3%) era a menos infectada até nove de maio. O número aproximado de dias para duplicação da infecção, recuperação e mortes foi de 10, 5 e 18, respectivamente, em Bangladesh, a partir de nove de maio de 2020. O CFR de Bangladesh, até nove de maio, foi de 1,55%, inferior aos CFRs do mundo (6,89%), Europa (9,17%), América (5,61%), África (3,26%) e Sudeste da Ásia (3,52%). O RDR diário exibiu uma tendência de queda de quatro de abril de 2020 a 25 de abril de 2020 e, em seguida, mostrou uma tendência de alta até nove de maio de 2020. Conclusão: a tendência descendente do CFR indica que a taxa de mortalidade é baixa em comparação com o diagnóstico. A tendência ascendente do RDR indica que a recuperação causada pelo COVID-19 é rápida, em comparação com as mortes, ao longo do tempo, em Bangladesh. A tendência de queda do PC indica que a porcentagem de casos de COVID-19 está diminuindo em relação aos três dias anteriores.

Infection and Death Patterns of COVID-19 Disease in Bangladesh / Padrões de infecção e morte da doença COVID-19 em Bangladesh

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.

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.