Hospital-Based Quasi-Experimental Study on Hydroxychloroquine Pre-Exposure Prophylaxis for COVID-19 in Healthcare Providers with Its Potential Side-Effects.

Considering that it has been more than 24 months since SARS-CoV-2 emerged, it is crucial to identify measures that prevent and control pathogen transmission in workplace settings. Our aim was to report results of a hospital-based program that delivered hydroxychloroquine (HCQ) tablets as COVID-19 prophylaxis to the frontline healthcare workers (HCW)s who cared for COVID-19 patients and to evaluate the efficacy of HCQ. Setting and participants: Quasi-experimental, controlled, single-center study. The included participants were doctors, nurses, health workers, cleaning staff, and non-healthcare supportive staff. The main outcome was contracting COVID-19 anytime during the period of taking the prophylaxis, confirmed by RT-PCR. A total of 336 participants, without any clinical evidence of COVID-19 and without any known contact with family members, were included in the trial; 230 were assigned to HCQ and 106 declined to take any drug. Results: Among the participants, 43 (18.7%) in the HCQ group and 11 (10.4%) participants in the control group developed COVID-19. For the evaluation of side effects, we evaluated 12-lead ECGs of both groups at the baseline and after 4 weeks to monitor QTc interval. A total of 91% (198 of 217) participants in the prophylaxis group and 92% (11 of 12) in the control group had a QTc < 45o msec, which is within normal limits. Conclusions: Although the number of symptomatic infections in health personnel was lower in the control group, the difference was not statistically significant. However, in the absence of any effective pre-exposure prophylaxis medicine for COVID-19, practicing proper infection prevention and control (IPC) and vaccination is the only way forward.

COVID-19 Vaccine Acceptance Rate and Its Factors among Healthcare Students: A Systematic Review with Meta-Analysis.

Healthcare students are clinicians-in-training likely to come into contact with COVID-19 as much as other frontline healthcare professionals. It is therefore necessary to prioritize vaccinations for this group. We conducted a global systematic assessment of COVID-19 vaccine acceptance rates and related factors among healthcare students using the PubMed, Scopus, and Web of Science databases and keyword searches in March of 2022. We found 1779 articles with relevant information and 31 articles that matched our inclusion criteria. We performed a random-effects meta-analysis and quality assessment using the eight-item Joanna Briggs Institute Critical Appraisal test for cross-sectional studies. A total of 30,272 individuals from 16 countries were studied. Most of the studies were carried out in the U.S. (n = 6), China (n = 5), Poland (n = 5), India (n = 2), Italy (n = 2), and Israel (n = 2). The prevalence of the COVID-19 vaccine acceptance rate was 68.8% (95% confidence interval [CI]: 60.8-76.3, I2 = 100%), and the prevalence of the vaccine hesitancy rate was 25.8% (95% CI: 18.5-33.8, I2 = 99%). In country-specific analyses, Romania showed the highest acceptance rate (88.0%, 95% CI: 44.5-100%), while Iraq showed the lowest acceptance rate (66.2%, 95% CI: 35.5-90.8%). In time-trend analyses, we found that acceptance rates among healthcare students decreased over time. Students concerned about potentially serious side effects of the vaccine were less willing to accept the vaccine. National and international interventions should be adopted to reduce COVID-19 vaccination hesitancy rates among these important frontline workers.

Knowledge, attitude, and hesitancy towards COVID-19 vaccine among university students of Bangladesh.

Global vaccination coverage is an urgent need to recover the recent pandemic COVID-19. However, people are concerned about the safety and efficacy of this vaccination program. Thus, it has become crucial to examine the knowledge, attitude, and hesitancy towards the vaccine. An online cross-sectional survey was conducted among university students of Bangladesh. Total of 449 university students participated. Most of these students used the internet (34.74%), social media (33.41%), and electronic media (25.61%) as a source of COVID-19 vaccine information. Overall, 58.13% and 64.81% of university students reported positive knowledge and attitude towards the COVID-19 vaccine. 54.34% of these students agreed that the COVID-19 vaccine is safe and effective. 43.88% believed that the vaccine could stop the pandemic. The Spearman's Rank correlation determined the positive correlation between knowledge and attitude. The negative correlation was determined between positive knowledge and hesitancy, and positive attitude and hesitancy. University students with positive knowledge and attitude showed lower hesitancy. Multiple logistic regression analyses determined the university type and degree major as the predictors of knowledge, whereas only degree major was the predictor of attitudes. 26.06% of the study population showed their hesitancy towards the vaccine. University type and degree major were also determined as predictors of this hesitancy. They rated fear of side effects (87.18%) and lack of information (70.94%) as the most reasons for the hesitancy. The findings from this study can aid the ongoing and future COVID-19 vaccination plan for university students. The national and international authorities can have substantial information for a successful inoculation campaign.

Mental Health Status of University Students and Working Professionals during the Early Stage of COVID-19 in Bangladesh.

A novel coronavirus disease known as COVID-19 has spread globally and brought a public health emergency to all nations. To respond to the pandemic, the Bangladesh Government imposed a nationwide lockdown that may have degraded mental health among residents, in particular, university students and working professionals. We examined clinically significant anxiety levels with the Generalized Anxiety Disorder (GAD-7) scale and perceived stress levels with the Perceived Stress Scale (PSS-4) in an online cross-sectional study with 744 adults. Approximately 70% of respondents were afflicted with clinically significant anxiety levels, and more than 43.82% were afflicted with moderate or high perceived stress levels. Multivariate logistic regression models showed that postgraduates (OR = 2.78, 95% confidence interval [CI] = 1.03-8.75, p < 0.05) were more likely to experience anxiety than their student counterparts. No such differences emerged for working professionals, however. Living with family members compared to living alone was a risk factor for perceived stress among working professionals (OR = 4.05, 95% CI = 1.45-11.32, p < 0.05). COVID-19 stressors such as financial hardship (OR = 1.84, 95% CI = 1.11-3.05, p < 0.05) and worries of family members' health (OR = 1.84, 95% CI = 1.12-2.99) were risk factors for anxiety among students. Questionable social media news exposure (OR = 2.99, 95% CI = 1.13-7.92, p < 0.05) contributed to the development of mental stress among working professionals. These findings confirm that effective initiatives and proactive efforts from concerned authorities are necessary to cope with the mental health correlates of the COVID-19 pandemic, including in developing contexts such as Bangladesh.

COVID-19 among staff and their family members of a healthcare research institution in Bangladesh between March 2020 and April 2021: a test-negative case-control study.

OBJECTIVE: To identify factors associated with COVID-19 positivity among staff and their family members of icddr,b, a health research institute located in Bangladesh. SETTING: Dhaka, Bangladesh. PARTICIPANTS: A total of 4295 symptomatic people were tested for SARS-CoV-2 by reverse-transcription PCR between 19 March 2020 and 15 April 2021. Multivariable logistic regression was done to identify the factors associated with COVID-19 positivity by contrasting test positives with test negatives. RESULT: Forty-three per cent of the participants were tested positive for SARS-CoV-2. The median age was high in positive cases (37 years vs 34 years). Among the positive cases, 97% were recovered, 2.1% had reinfections, 24 died and 41 were active cases as of 15 April 2021. Multivariable regression analysis showed that age more than 60 years (adjusted OR (aOR)=2.1, 95% CI 1.3 to 3.3; p<0.05), blood group AB (aOR=1.5, 95% CI 1.1 to 2; p<0.05), fever (aOR=3.1, 95% CI 2.6 to 3.7; p<0.05), cough (aOR=1.3, 95% CI 1.1 to 1.6; p<0.05) and anosmia (aOR=2.7, 95% CI 1.3 to 5.7; p<0.05) were significantly associated with higher odds of being COVID-19 positive when compared with participants who were tested negative. CONCLUSIONS: The study findings suggest that older age, fever, cough and anosmia were associated with COVID-19 among the study participants.

Knowledge, Attitudes, and Practices Toward Coronavirus and Associated Anxiety Symptoms Among University Students: A Cross-Sectional Study During the Early Stages of the COVID-19 Pandemic in Bangladesh.

Background: University students' knowledge, attitude, and practice (KAP) toward COVID-19 are vital to prevent the spread of the virus, especially in the context of developing countries. Consequently, the present study aimed to determine the KAP levels of university students and associated anxiety during the earlier stage of the pandemic in Bangladesh. Methods: A cross-sectional, online study with 544 university students was conducted during April 17-May 1, 2020. The questionnaire incorporated several KAP-related test items aligned with the World Health Organization (WHO) guidelines. Anxiety was measured with the 2-item Generalized Anxiety Disorder scale (GAD-2). Multivariable logistic regression analysis was performed to determine the association between KAP levels and anxiety adjusting for sociodemographic variables. Subgroup analyses included rerunning models stratified by gender and quarantine status. Results: Approximately 50% of students showed high levels of knowledge about COVID-19 guidelines, 59% reported behavioral practices that aligned with COVID-19 guidelines, and 39% had negative attitudes toward COVID-19 guidelines. Attitudes differed by anxiety (χ2 = 23.55, p < 0.001); specifically, negative attitudes were associated with higher anxiety (OR: 2.40, 95% CI = 1.66-3.46, p < 0.001). Associations were significant for male (OR = 2.36; 95% CI = 1.45-3.84, p < 0.001) and female (OR = 2.45; 95% CI = 1.3-4.34; p < 0.001) students. Stratified analyses found non-quarantined students with negative attitudes had three times the chance of experiencing anxiety (OR = 3.14, 95% CI: 1.98-4.98, p < 0.001). Non-quarantined students with low levels of knowledge had half the chance of developing anxiety (OR = 0.49, 95% CI: 0.31-0.78, p < 0.01). Conclusion: Based on these findings, it is recommended that university authorities continue to prioritize proactive and effective measures to develop higher levels of knowledge, more positive attitudes and better behavioral practices regarding COVID-19 for the mental health of their students.

Challenges of deep learning methods for COVID-19 detection using public datasets.

Since the COVID-19 pandemic, several research studies have proposed Deep Learning (DL)-based automated COVID-19 detection, reporting high cross-validation accuracy when classifying COVID-19 patients from normal or other common Pneumonia. Although the reported outcomes are very high in most cases, these results were obtained without an independent test set from a separate data source(s). DL models are likely to overfit training data distribution when independent test sets are not utilized or are prone to learn dataset-specific artifacts rather than the actual disease characteristics and underlying pathology. This study aims to assess the promise of such DL methods and datasets by investigating the key challenges and issues by examining the compositions of the available public image datasets and designing different experimental setups. A convolutional neural network-based network, called CVR-Net (COVID-19 Recognition Network), has been proposed for conducting comprehensive experiments to validate our hypothesis. The presented end-to-end CVR-Net is a multi-scale-multi-encoder ensemble model that aggregates the outputs from two different encoders and their different scales to convey the final prediction probability. Three different classification tasks, such as 2-, 3-, 4-classes, are designed where the train-test datasets are from the single, multiple, and independent sources. The obtained binary classification accuracy is 99.8% for a single train-test data source, where the accuracies fall to 98.4% and 88.7% when multiple and independent train-test data sources are utilized. Similar outcomes are noticed in multi-class categorization tasks for single, multiple, and independent data sources, highlighting the challenges in developing DL models with the existing public datasets without an independent test set from a separate dataset. Such a result concludes a requirement for a better-designed dataset for developing DL tools applicable in actual clinical settings. The dataset should have an independent test set; for a single machine or hospital source, have a more balanced set of images for all the prediction classes; and have a balanced dataset from several hospitals and demography. Our source codes and model are publicly available for the research community for further improvements.

COVID-19 Vaccine Acceptance among Low- and Lower-Middle-Income Countries: A Rapid Systematic Review and Meta-Analysis.

Widespread vaccination against COVID-19 is critical for controlling the pandemic. Despite the development of safe and efficacious vaccinations, low-and lower-middle income countries (LMICs) continue to encounter barriers to care owing to inequitable access and vaccine apprehension. This study aimed to summarize the available data on COVID-19 vaccine acceptance rates and factors associated with acceptance in LMICs. A comprehensive search was performed in PubMed, Scopus, and Web of Science from inception through August 2021. Quality assessments of the included studies were carried out using the eight-item Joanna Briggs Institute Critical Appraisal tool for cross-sectional studies. We performed a meta-analysis to estimate pooled acceptance rates with 95% confidence intervals (CI). A total of 36 studies met the inclusion criteria and were included in the review. A total of 83,867 respondents from 33 countries were studied. Most of the studies were conducted in India (n = 9), Egypt (n = 6), Bangladesh (n = 4), or Nigeria (n = 4). The pooled-effect size of the COVID-19 vaccine acceptance rate was 58.5% (95% CI: 46.9, 69.7, I2 = 100%, 33 studies) and the pooled vaccine hesitancy rate was 38.2% (95% CI: 27.2-49.7, I2 = 100%, 32 studies). In country-specific sub-group analyses, India showed the highest rates of vaccine acceptancy (76.7%, 95% CI: 65.8-84.9%, I2= 98%), while Egypt showed the lowest rates of vaccine acceptancy (42.6%, 95% CI: 16.6-73.5%, I2= 98%). Being male and perceiving risk of COVID-19 infection were predictors for willingness to accept the vaccine. Increasing vaccine acceptance rates in the global south should be prioritized to advance global vaccination coverage.

Mental health of students amidst the COVID-19 pandemic: An empirical study.

Purpose: Considering the severity of the global outbreak of coronavirus (COVID-19) on the whole of humanity, particularly in this case on the physical and mental health of students, this study strives to explore the role of financial worries, employment anxiety and COVID-19 knowledge on depression and mental health among students in Bangladesh. Design/methodology/approach: In the study, a deductive reasoning approach was employed, together with a self-administered questionnaire survey. Questionnaires were sent to the respondents via different social media and by email by creating a Google form link. We finally received 387 responses students aged over 18 years who had internet access in order to complete the survey. To analyze the data, structural equation modeling via AMOS was used. Findings: The results showed that employment anxiety, financial worry, and knowledge on COVID-19 positively influence depression, and finally depression negatively influences the mental health of the students. Thus, our findings supported all of the proposed hypotheses. Originality/value: The research enriches the existing literature pool by contributing empirical substantiation on the role of employment anxiety, financial worries and knowledge of COVID-19 in depression, and the impact of depression on mental health.

Health and nutritional status of children hospitalized during the COVID-19 pandemic, Bangladesh.

OBJECTIVE: To compare the health and nutrition of children younger than 5 years admitted to hospital during and before the coronavirus disease 2019 (COVID-19) pandemic in Bangladesh. METHODS: We collected data from hospital records of children 0-59 months admitted to the Dhaka Hospital of the International Centre for Diarrhoeal Disease Research, Bangladesh in March 2020-February 2021 (COVID-19 period; n = 2552) and March 2019-February 2020 (pre-COVID-19 period; n = 6738). Data collected included sociodemographic, anthropometric, clinical and biochemical characteristics. We compared these data for child admissions in the COVID-19 and pre-COVID-19 periods, including infants 0-11 months born during and before the pandemic and admitted to hospital. FINDINGS: Admissions of children as a percentage of total admissions were lower in March 2020 (2.47%; 63/2552) than March 2019 (8.30%; 559/6738), but increased to 20.61% (526/2552) in February 2021, three times greater than in the pre-COVID-19 period (6.69%; 451/6738). Children admitted during the COVID-19 period were significantly more likely to have dehydration, severe sepsis or septic shock, convulsions, hypernatraemia and raised creatinine than children admitted before the pandemic (P < 0.05). In infants < 6 months and those born during the pandemic, stunting and wasting were significantly higher than in infants in the pre-COVID-19 period (P < 0.05). The risk of death was higher in infants < 6 months during the pandemic (odds ratio: 1.66; 95% confidence interval: 0.95-2.92). CONCLUSION: During the pandemic, children presented with more severe illness and poorer nutrition. Efforts are needed to reduce the adverse effects of the pandemic on the health and well-being of children.

Association between Perceived Trusted of COVID-19 Information Sources and Mental Health during the Early Stage of the Pandemic in Bangladesh.

Unverified information concerning COVID-19 can affect mental health. Understanding perceived trust in information sources and associated mental health outcomes during the COVID-19 pandemic is vital to ensure ongoing media coverage of the crisis does not exacerbate mental health impacts. A number of studies have been conducted in other parts of the world to determine associations between information exposure relating to COVID-19 and mental health. However, the mechanism by which trust in information sources may affect mental health is not fully explained in the developing country context. To address this issue, the present study examined associations between perceived trust in three sources of information concerning COVID-19 and anxiety/stress with the mediating effects of COVID-19 stress in Bangladesh. An online cross-sectional study was conducted with 744 Bangladeshi adults between 17 April and 1 May 2020. Perceived trust in traditional, social, and health media for COVID-19 information, demographics, frontline service status, COVID-19-related stressors, anxiety (GAD-7), and stress (PSS-4) were assessed via self-report. Linear regression tested for associations between perceived trust and mental health. Mediation analyses investigated whether COVID-19-related stressors affected perceived trust and mental health associations. In fully adjusted models, more trust in social media was associated with more anxiety (B = 0.03, CI = 0.27-0.97) and stress (B = 0.01, CI = -0.34-0.47), while more trust in traditional media was associated with more anxiety (B = 0.09, CI = 0.17-2.26) but less stress (B = -0.08, CI = -0.89-0.03). Mediation analyses showed that COVID-19-related stressors partially explained associations between perceived trust and anxiety. These findings suggest that trusting social media to provide accurate COVID-19 information may exacerbate poor mental health. These findings also indicate that trusting traditional media (i.e., television, radio, and the newspaper) may have stress-buffering effects. We recommend that responsible authorities call attention to concerns about the trustworthiness of social media as well as broadcast positive and authentic news in traditional media outcomes based on these results.

Status and perception toward the COVID-19 vaccine: A cross-sectional online survey among adult population of Bangladesh.

INTRODUCTION: COVID-19 has become a global public health concern. Safe and effective vaccines are required to control the pandemic. However, positive perception toward the vaccine is also necessary for a successful vaccination effort. OBJECTIVE: A rapid online survey was conducted to evaluate the status and perception toward the newly administered COVID-19 vaccine among the adult population (18 years and above) of Bangladesh. METHODS: A total of 850 adult people participated. χ 2 or Fisher's exact test was performed to determine the association between the first dose of vaccination and sociodemographic information. Logistic regression analyses were carried out to examine the predictors of knowledge, attitude, and hesitation toward the vaccine. RESULTS: Exactly 24.12% of the study population received their first dose of COVID-19 vaccine, whereas 30.23% expressed hesitation about pursuing the vaccine. Older age groups (>70%), married people (49.62%), capital Dhaka city outsiders (32.76%), and high-income groups (>50%) received the vaccine much higher than their counter group. Age, marital status, educational attainment, monthly income, and prior COVID-19 positive status were all significantly associated with the knowledge regarding the vaccine. Only age (>55 years age group = aOR: 4.10; 95% CI: 1.30, 14.31) and level of knowledge (poor knowledge = aOR: 0.17; 95% CI: 0.12, 0.23) were significant determinants of attitudes. In case of hesitation, age group and monthly income were found as significant determinants. Fear of adverse consequences (86.67%) was the most common reason for hesitation, followed by insufficient information (73.85%). CONCLUSION: This study sought to determine the status and perception of the newly administered COVID-19 vaccine to aid in the current inoculation campaign's effectiveness. Collaboration between academics, government officials, and communities is essential in developing a successful COVID-19 vaccination program for the entire population. The authority should develop effective strategies to ensure the implementation of its policy of widespread COVID-19 vaccination coverage.

Determinants of COVID-19 Vaccine Acceptance among the Adult Population of Bangladesh Using the Health Belief Model and the Theory of Planned Behavior Model.

Vaccination is undoubtedly one of the most effective strategies to halt the COVID-19 pandemic. The current study aimed to investigate the acceptance of COVID-19 vaccination and its associated factors using two health behavior change frameworks: the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB). A total of 639 Bangladeshi adults (mean age: 24 years) participated in a cross-sectional online study between July and August 2021. The questionnaire covered questions regarding vaccine intentions, sociodemographic features, health status, perceived trust in/satisfaction with health authorities, reasons for vaccine hesitancy, and factors related to the health behavior change frameworks. Hierarchical logistic regression was employed to determine associations between these predictors and vaccine acceptance. The intention to get a COVID-19 vaccination was expressed among 85% of the participants. In fully adjusted models, students and respondents with more normal body weights reported higher intentions to get vaccinated. Respondents were also more likely to seek vaccination if they reported greater levels of perceived susceptibility, benefits, and cues to action, as well as lower levels of barriers and self-efficacy. Fear of future vaccine side effects was the most common reason for COVID-19 vaccine hesitancy and was expressed by 94% of the vaccine-hesitant respondents. These factors should be considered by health authorities in Bangladesh and perhaps other countries when addressing the plateauing COVID-19 vaccination rates in many populations.

Acute food insecurity and short-term coping strategies of urban and rural households of Bangladesh during the lockdown period of COVID-19 pandemic of 2020: report of a cross-sectional survey.

INTRODUCTION: We conducted a cross-sectional survey to assess the extent and to identify the determinants of food insecurity and coping strategies in urban and rural households of Bangladesh during the month-long, COVID-19 lockdown period. SETTING: Selected urban and rural areas of Bangladesh. PARTICIPANTS: 106 urban and 106 rural households. OUTCOME VARIABLES AND METHOD: Household food insecurity status and the types of coping strategies were the outcome variables for the analyses. Multinomial logistic regression analyses were done to identify the determinants. RESULTS: We found that around 90% of the households were suffering from different grades of food insecurity. Severe food insecurity was higher in urban (42%) than rural (15%) households. The rural households with mild/moderate food insecurity adopted either financial (27%) or both financial and food compromised (32%) coping strategies, but 61% of urban mild/moderate food insecure households applied both forms of coping strategies. Similarly, nearly 90% of severely food insecure households implemented both types of coping strategies. Living in poorest households was significantly associated (p value <0.05) with mild/moderate (regression coefficient, ß: 15.13, 95% CI 14.43 to 15.82), and severe food insecurity (ß: 16.28, 95% CI 15.58 to 16.97). The statistically significant (p <0.05) determinants of both food compromised and financial coping strategies were living in urban areas (ß: 1.8, 95% CI 0.44 to 3.09), living in poorest (ß: 2.7, 95% CI 1 to 4.45), poorer (ß: 2.6, 95% CI 0.75 to 4.4) and even in the richer (ß: 1.6, 95% CI 0.2 to 2.9) households and age of the respondent (ß: 0.1, 95% CI 0.02 to 0.21). CONCLUSION: Both urban and rural households suffered from moderate to severe food insecurity during the month-long lockdown period in Bangladesh. But, poorest, poorer and even the richer households adopted different coping strategies that might result in long-term economic and nutritional consequences.