Tackling the COVID-19 pandemic: the Bangladesh perspective
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TLDR
The responses of Bangladesh to tackle the dreadful COVID-19 is described and prevailing challenges, and how to mitigate this highly contagious disease with limited resources are discussed.Abstract:
An outbreak of a COVID-19 pandemic disease, caused by a novel coronavirus SARS-CoV-2, has posed a serious threat to global human health. Bangladesh has also come under the attack of this viral disease. Here, we aimed to describe the responses of Bangladesh to tackle the COVID-19, particularly on how Bangladesh is dealing with this novel viral disease with its limited resources. The first case of a COVID-19 patient was detected in Bangladesh on March 8, 2020. Since then, a total of 263,503 peoples are officially reported as COVID-19 infected with 3,471 deaths until August 11, 2020. To combat the COVID-19, the government has taken various steps viz. diagnosis of the suspected cases, quarantine of doubted people and isolation of infected patients, local or regional lockdown, closure of all government and private offices, increase public awareness and enforce social distancing, etc. Moreover, to address the socio-economic situations, the government announced several financial stimulus packages of about USD 11.90 billion. However, the government got 3 months since the disease was first reported in China, but the country failed in making proper strategies including contact tracing, introducing antibody/antigen-based rapid detection kit, and also failed to make multi-disciplinary team to combat this disease. Further, limited testing facilities and inadequate treatment service along with public unawareness are the major challenges for Bangladesh to tackle this situation effectively. Along with the government, personal awareness and assistance of non-government organizations, private organizations, researchers, doctors, industrialists, and international organizations are firmly required to mitigate this highly contagious disease.read more
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Journal ArticleDOI
Willingness to vaccinate against COVID-19 among Bangladeshi adults: Understanding the strategies to optimize vaccination coverage.
Minhazul Abedin,Mohammad Aminul Islam,Farah Naz Rahman,Hasan Mahmud Reza,Mohammad Zakir Hossain,Mohammad Anwar Hossain,Adittya Arefin,Ahmed Hossain +7 more
TL;DR: In this paper, a cross-sectional analysis from a household survey of 3646 adults aged 18 years or older was conducted in 8 districts of Bangladesh, from December 12, 2020, to January 7, 2021.
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Challenges Faced by Healthcare Professionals During the COVID-19 Pandemic: A Qualitative Inquiry From Bangladesh.
Shaharior Rahman Razu,Tasnuva Yasmin,Taimia Binte Arif,Shahin Islam,Sheikh Mohammed Shariful Islam,Hailay Abrha Gesesew,Hailay Abrha Gesesew,Paul Ward +7 more
TL;DR: In this paper, the authors conducted qualitative research among healthcare professionals of different hospitals and clinics in Khulna and Dhaka city of Bangladesh from May 2020 to August 2020 and conducted 15 in-depth telephone interviews using a snowball sampling technique.
Journal ArticleDOI
Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh.
Rafia Tasnim,Safaet Hossain Sujan,Saiful Islam,Asmaul Husna Ritu,Abid Bin Siddique,Tanziha Yeasmin Toma,Rifat Nowshin,Abid Hasan,Sahadat Hossain,Shamsun Nahar,Salequl Islam,Muhammad Islam,Marc N. Potenza,Jim van Os +13 more
TL;DR: In this article, the authors investigated the prevalence of anxiety and depression among HCWs and factors correlated with mental health concerns during the COVID-19 pandemic in Bangladesh, and evaluated the psychometric properties of the Bangla version of the Hospital Anxiety and Depression Scale (HADS).
Journal ArticleDOI
Short-Term Prediction of COVID-19 Cases Using Machine Learning Models
Md. Shahriare Satu,Koushik Chandra Howlader,Mufti Mahmud,M. Shamim Kaiser,Sheikh Mohammad Shariful Islam,Julian M.W. Quinn,Salem A. Alyami,Mohammad Ali Moni +7 more
TL;DR: A cloud-based machine learning short-term forecasting model was developed for Bangladesh, in which several regression- based machine learning models were applied to infected case data to estimate the number of COVID-19-infected people over the following seven days.
Journal ArticleDOI
Hematological abnormalities and comorbidities are associated with COVID-19 severity among hospitalized patients: Experience from Bangladesh.
Ashrafur Rahman,Yeasna Shanjana,Ismail Tushar,Tarif Mahmud,Ghazi M. Rahman,Zahid Hossain Milan,Tamanna Sultana,Ali Mohammed Lutful Hoq Chowdhury,Mohiuddin Ahmed Bhuiyan,Rabiul Islam,Hasan Mahmud Reza +10 more
TL;DR: Increased levels of C-reactive protein (CRP), d-dimer, and ferritin showed good indicative value to evaluate the severity of COVID-19, and there were positive correlations among these parameters.
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