COVID-19 Outbreak In Bangladesh Research Articles

The Use of Telemedicine in Bangladesh during COVID-19 Pandemic

This paper presents the impact of telemedicine use among patients and healthcare professionals during the epidemic due to COVID-19 outbreak in Bangladesh. According to our findings, as the coronavirus outbreak quickly surges worldwide, many countries are adapting non-therapeutic preventative measures. Telemedicine is the exchange of medical information from one location to another using electronic communication. Telemedicine refers to the use of information and communication technology to provide healthcare support. During the pandemic, it is safer not to visit a hospital physically for consultation until and unless it is of utmost emergency. In this scenario, Telemedicine plays a vast role in developing both the quality and access to healthcare services during a pandemic. The current (COVID-19) scenario has shown us the significance of using Telehealth to deliver healthcare, especially as a means of decreasing the risk of cross-contamination caused by close contact. Bangladesh, like every other nation, has started using telemedicine as a means of providing digital healthcare services. As the outbreak continues, this paper finds that several telemedicine service providers in Bangladesh have increased their operation for serving the general mass. This paper finds the role of telemedicine during the COVID-19 pandemic as a bridge between providing safe healthcare consultation while keeping social distance as advised. The current situation of COVID-19 in Bangladesh has also been discussed in this paper. Despite some challenges of a telemedicine application in Bangladesh, the role of telemedicine is quite impactful during the pandemic.

A case report of COVID-19 with multiple comorbidities with a positive outcome in early days of COVID-19 outbreak in Bangladesh

We present a case of 68-year-old man with diabetes, heart failure, status post-coronary artery bypass grafs, cardiac resynchronization therapy defibrillator in situ, altered liver function, with corona virus disease 2019. He presented with cough and high grade fever with occasional dyspnea. He was treated at home with favipiravir, methyl prednisolone, enoxaparin and antibiotics and home oxygen therapy. He re-tested positive on 14th and 21st day and later on 31st day he was found RT-PCR negative for SARS-CoV-2. Patient came for a follow-up after 3 months in healthy state with normal D-dimer and other inflammatory markers.
 Birdem Med J 2020; 10, COVID Supplement: 131-134

Are meteorological factors enhancing COVID-19 transmission in Bangladesh? Novel findings from a compound Poisson generalized linear modeling approach.

Novel coronavirus (SARS-CoV-2) causing COVID-19 disease has arisen to be a pandemic. Since there is a close association between other viral infection cases by epidemics and environmental factors, this study intends to unveil meteorological effects on the outbreak of COVID-19 across eight divisions of Bangladesh from March to April 2020. A compound Poisson generalized linear modeling (CPGLM), along with a Monte-Carlo method and random forest (RF) model, was employed to explore how meteorological factors affecting the COVID-19 transmission in Bangladesh. Results showed that subtropical climate (mean temperature about 26.6 °C, mean relative humidity (MRH) 64%, and rainfall approximately 3 mm) enhanced COVD-19 onset. The CPGLM model revealed that every 1 mm increase in rainfall elevated by 30.99% (95% CI 77.18%, − 15.20%) COVID-19 cases, while an increase of 1 °C of diurnal temperature (TDN) declined the confirmed cases by − 14.2% (95% CI 9.73%, − 38.13%) on the lag 1 and lag 2, respectively. In addition, NRH and MRH had the highest increase (17.98% (95% CI 22.5%, 13.42%) and 19.92% (95% CI: 25.71%, 14.13%)) of COVID-19 cased in lag 4. The results of the RF model indicated that TDN and AH (absolute humidity) influence the COVID-19 cases most. In the Dhaka division, MRH is the most vital meteorological factor that affects COVID-19 deaths. This study indicates the humidity and rainfall are crucial factors affecting the COVID-19 case, which is contrary to many previous studies in other countries. These outcomes can have policy formulation for the suppression of the COVID-19 outbreak in Bangladesh.

The COVID-19 pandemic and serious psychological consequences in Bangladesh: A population-based nationwide study

BackgroundAs with other countries worldwide, lockdown measures during the COVID-19 outbreak in Bangladesh were sudden and unexpected, and have the capacity to elicit serious psychological consequences. The present study examined the psychological consequences of COVID-19 in Bangladesh during the lockdown period. MethodsA nationwide online cross-sectional survey study recruited 10,067 individuals covering all 64 districts in Bangladesh via social media (April 1-10, 2020). The survey comprised questions concerning socio-demographics, knowledge of COVID-19, behavior towards COVID-19, fear of COVID-19, insomnia, depression, and suicidal ideation. Logistic regression and structural equation modeling (SEM) analyses were performed to identify the risk factors depression and suicidal ideation. Geographical information system (GIS)-based spatial analysis was used to identify district-wise susceptibility to depression and suicidal ideation. FindingsThe prevalence rate of depression and suicidal ideation related to COVID-19 was 33% and 5%%. Common risk factors for suicidal ideation and depression included being young, being female, being a cigarette smoker, having comorbid diseases, having high scores on the Fear COVID-19 Scale, and having insomnia symptoms. GIS-based maps detected high depression and suicidal ideation in the capital of Bangladesh and the districts near the capital as well as coastal areas where COVID-19 prevalence was high, as compared with districts with no reported cases. LimitationsSelf-reported scales and cross-sectional design of the study. ConclusionCOVID-19 is associated with major psychological impact across Bangladesh, underlining the need of strategically located psychological support measures and improved access to mental health services, especially among women and younger people.

Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: An online-based cross-sectional study

In Bangladesh, an array of measures have been adopted to control the rapid spread of the COVID-19 epidemic. Such general population control measures could significantly influence perception, knowledge, attitudes, and practices (KAP) towards COVID-19. Here, we assessed KAP towards COVID-19 immediately after the lock-down measures were implemented and during the rapid rise period of the outbreak. Online-based cross-sectional study conducted from March 29 to April 19, 2020, involving Bangladeshi residents aged 12-64 years, recruited via social media. After consenting, participants completed an online survey assessing socio-demographic variables, perception, and KAP towards COVID-19. Of the 2017 survey participants, 59.8% were male, the majority were students (71.2%), aged 21-30 years (57.9%), having a bachelor's degree (61.0%), having family income >30,000 BDT (50.0%), and living in urban areas (69.8). The survey revealed that 48.3% of participants had more accurate knowledge, 62.3% had more positive attitudes, and 55.1% had more frequent practices regarding COVID-19 prevention. Majority (96.7%) of the participants agreed 'COVID-19 is a dangerous disease', almost all (98.7%) participants wore a face mask in crowded places, 98.8% agreed to report a suspected case to health authorities, and 93.8% implemented washing hands with soap and water. In multiple logistic regression analyses, COVID-19 more accurate knowledge was associated with age and residence. Sociodemographic factors such as being older, higher education, employment, monthly family income >30,000 BDT, and having more frequent prevention practices were the more positive attitude factors. More frequent prevention practice factors were associated with female sex, older age, higher education, family income > 30,000 BDT, urban area residence, and having more positive attitudes. To improve KAP of general populations is crucial during the rapid rise period of a pandemic outbreak such as COVID-19. Therefore, development of effective health education programs that incorporate considerations of KAP-modifying factors is needed.

The Psychological Consequences of COVID-19 Pandemic Lockdown in Bangladesh: A Population-Based Study

Background: As with countries worldwide, lockdown measures during the COVID-19 outbreak in Bangladesh were sudden and unexpected, and have the capacity to elicit serious psychological consequences. The present study examined the psychological consequences of COVID-19 in Bangladesh during the lockdown period. Methods: A nationwide online cross-sectional survey study recruited 10,067 individuals covering all 64 districts in Bangladesh via social media (April 1-10, 2020). The survey comprised questions concerning socio-demographics, knowledge of COVID-19, behavior towards COVID-19, fear of COVID-19, insomnia, depression, and suicidal ideation. Logistic regression and structural equation modeling (SEM) analyses were performed to identify the risk factors depression and suicidal ideation. Geographical information system (GIS)-based spatial analysis was used to identify district-wise susceptibility to depression and suicidal ideation. Findings: The prevalence rate of depression and suicidal ideation related to COVID-19 was 33% and 5%. Common risk factors for suicidal ideation and depression included being young, being female, being a cigarette smoker, having comorbid diseases, having high scores on the Fear COVID-19 Scale, and having insomnia symptoms. GIS-based maps detected high depression and suicidal ideation in the capital of Bangladesh and the districts near the capital as well as coastal areas where COVID-19 prevalence was high, as compared with districts with no reported cases. Interpretation: COVID-19 is associated with major psychological impact across Bangladesh, underlining the need of strategically located psychological support measures and improved access to mental health services, especially among women and younger people.Funding Statement: This study received no financial support from either government or non-government organizations.Declaration of Interests: The authors declare no completing interest to this work. Ethics Approval Statement: The ethical aspects were reviewed and approved by the Institute of Allergy and Clinical Immunology of Bangladesh ethics board, Bangladesh (IRBIACIB/CEC/03202005) and Biosafety, Biosecurity, and Ethical Committee of Jahangirnagar University, Bangladesh. Online informed consent was provided before survey participation.

COVID-19 outbreak in Bangladesh and associated psychological problems: An online survey

Bangladesh is now experiencing the COVID-19 outbreak; however, there has been minimal focus on mental health over physical health problems during this pandemic in Bangladesh. The present study was conducted using self-rated scales on a sample of 500 Bangladeshi people to address this gap. Results suggested two-fifths of the participants had depression and anxiety symptoms, and one-third were highly worried and felt stressed. Females, students, unmarried, and 18–30-year-olds were in more vulnerable positions in terms of their mental health. These findings would be helpful to assess and formulate psychological interventions to improve the mental health of vulnerable groups.

Social and electronic media exposure and generalized anxiety disorder among people during COVID-19 outbreak in Bangladesh: A preliminary observation.

Classified as a pandemic by the World Health Organization, the novel Coronavirus Disease (COVID-19) has spread to Bangladesh since early March of 2020, and people are getting daily updates from the social and electronic media. We aimed at assessing the prevalence of anxiety among Bangladeshi people during the pandemic in connection with social media exposure (SME) and electronic media exposure (EME). For this cross-sectional study, data were collected from 880 participants by a self-administered online-based questionnaire relating personal characteristics, self-rate health (SRH), SME, and EME with anxiety. Findings show that around half of the surveyed population experienced a spike of anxiety (49.1%) during the pandemic, ten times higher than the national anxiety rate in 2019. The participants with an increased SME of over four hours per day experienced a higher level of anxiety than individuals with < = 2 hours exposure to social media. Similarly, the anxiety was higher among people with fair/bad SRH compared to individuals with excellent SRH. It is highly recommended to develop active surveillance and effective monitoring systems to reduce the spread of misinformation from both social and electronic media to improve the state of mental health conditions during the pandemic.

Psychological states of Bangladeshi people four months after the COVID-19 pandemic: An online survey

BackgroundThe COVID-19 pandemic essentially imposes psychological effects on people. As the pandemic progresses, people experience psychological trauma gradually, which can change over time. The present study aimed to assess the prevalence of depression, anxiety, and stress among Bangladeshi people four months after the COVID-19 outbreak. MethodsAn online cross-sectional survey was conducted among Bangladeshi citizens aged ≥18 years from June 1 to June 10, 2020. The participants completed an online questionnaire examining socio-demographic variables and COVID-19 related factors, along with the Depression Anxiety and Stress Scale 21. A total of 1146 respondents have been included in the study. Data were analyzed using the Statistical Package for Social Sciences, IBM Statistics version 22.0. ResultsThe prevalence of moderate to the extremely severe levels of depression, anxiety, and stress was 47.2%, 46.0%, and 32.5%, respectively, with no significant gender differences. The prevalence of anxiety and stress was significantly higher in participants aged >30 than in participants aged 18–30 years. Daily follow up COVID-19 related news, having COVID-19 symptoms so far, having contact (direct or indirect) with COVID-19 infected person, and fear of infection were significantly associated with depression, anxiety, and stress. ConclusionsSizable proportions of participants had depression, anxiety and stress four months after the COVID-19 outbreak in Bangladesh. The findings of this study underscores the need for strategies aimed at reducing these psychological sufferings in Bangladeshi people in the context of COVID-19.

Representation of Emerging COVID-19 in Bangladeshi Newspapers

This study explains how Bangladeshi media responded during the coronavirus crisis focusing on the issues of news related to COVID-19. The study analyzes the content of a total of 744 articles in the ProthomAlo &amp; The Daily Star,the country's most-read newspapers in-between the timeline from 8th March 2020 to 4th April 2020. It investigates how the COVID-19 presented as `furious’ and `deadly’ virus among the readers. In particular, this study explores the representation pattern of the phenomena of 'emerging deadly infectious diseases' in the newspapers. Using Social Representation Theory (SRT), the study investigates the collective meaning sharing focus on the news coverage during the early stage of the COVID-19 outbreak in Bangladesh. The study also finds out how the newspapers sideline the representation of this pandemic as a `health crisis' to ` national economic crisis.' Thus the representation covers up the government irresponsibility by focusing more on `unconscious mass' and`limitations' of a developing country. Therefore, the `panic' increases and the solution of this pandemic muffled under it. Also, this study provides some tentative explanations for this linguistic representation by editorial sections of these newspapers.

A Data Driven Model for Prediction of COVID-19 Outbreak in Bangladesh

COVID-19 disease due to Corona virus of type SARS-CoV-2 has emerged from Wuhan, China in December 2019 and now it has expanded through infection all over the world. Now-a-days, this is a disaster pandemic for almost every nation in the earth. Such novel Corona virus impacts on every country in the world without regarding country's race, nationality and economic status. In this study, an attempt has been made to propose a data driven model to know the present and future Corona virus situation of Bangladesh. It also predicts the cumulative infected people, disease propagation, doubling time and new cases of COVID-19 patients. The result shows that more than two lakh fifty thousand people will be infected by Corona virus and its effect will start to decrease by the mid of July and decline to disappear by the end of August. This study will help policy makers to take plan for healthcare system and management of various aspects related to the control and prevention of Corona virus outspread in Bangladesh.&#x0D; Bangladesh Journal of Infectious Diseases 2020;7(1):22-26

COVID-19 in Bangladesh: A Deeper Outlook into The Forecast with Prediction of Upcoming Per Day Cases Using Time Series.

A global pandemic on March 11th of 2020, which was initially renowned by the World Health Organization (WHO) revealed the coronavirus (the COVID-19 epidemic). Coronavirus was flown in -December 2019 in Wuhan, Hubei region in China. Currently, the situation is enlarged by the infection in more than 200 countries all over the world. In this situation it was rising into huge forms in Bangladesh too. Modulated with a public dataset delivered by the IEDCR health authority, we have produced a sustainable prognostic method of COVID-19 outbreak in Bangladesh using a deep learning model. Throughout the research, we forecasted up to 30 days in which per day actual prediction was confirmed, death and recoveries number of people. Furthermore, we illustrated that long short-term memory (LSTM) demands the actual output trends among time series data analysis with a controversial study that exceeds random forest (RF) regression and support vector regression (SVR), which both are machine learning (ML) models. The current COVID-19 outbreak in Bangladesh has been considered in this paper. Here, a well-known recurrent neural network (RNN) model in order to referred by the LSTM network that has forecasted COVID-19 cases on per day infected scenario of Bangladesh from May 15th of 2020 till June 15th of 2020. Added with a comparative study that drives into the LSTM, SVR, RF regression which is processed by the RMSE transmission rate. In all respects, in Bangladesh the gravity of COVID-19 has become excessive nowadays so that depending on this situation public health sectors and common people need to be aware of this situation and also be able to get knowledge of how long self-lockdown will be maintained. So far, to the best of our knowledge LSTM based time series analysis forecasting infectious diseases is a well-done formula