COVID-19 and Bangladesh: Challenges and How to Address Them

Molecular Epidemiology of SARS-CoV-2 in Bangladesh

Mutation is one of the most important drivers of viral evolution and genome variability, allowing viruses to potentially evade host immune responses and develop drug resistance. In the context of COVID-19, local genomic surveillance of circulating virus populations is therefore critical. The goals of this study were to describe the distribution of different SARS-CoV-2 lineages, assess their genomic differences, and infer virus importation events in Bangladesh. We individually aligned 1965 SARS-CoV-2 genome sequences obtained between April 2020 and June 2021 to the Wuhan-1 sequence and used the resulting multiple sequence alignment as input to infer a maximum likelihood phylogenetic tree. Sequences were assigned to lineages as described by the hierarchical Pangolin nomenclature scheme. We built a phylogeographic model using the virus population genome sequence variation to infer the number of virus importation events. We observed thirty-four lineages and sub-lineages in Bangladesh, with B.1.1.25 and its sub-lineages D.* (979 sequences) dominating, as well as the Beta variant of concern (VOC) B.1.351 and its sub-lineages B.1.351.* (403 sequences). The earliest B.1.1.25/D.* lineages likely resulted from multiple introductions, some of which led to larger outbreak clusters. There were 570 missense mutations, 426 synonymous mutations, 18 frameshift mutations, 7 deletions, 2 insertions, 10 changes at start/stop codons, and 64 mutations in intergenic or untranslated regions. According to phylogeographic modeling, there were 31 importation events into Bangladesh (95% CI: 27-36). Like elsewhere, Bangladesh has experienced distinct waves of dominant lineages during the COVID-19 pandemic; this study focuses on the emergence and displacement of the first wave-dominated lineage, which contains mutations seen in several VOCs and may have had a transmission advantage over the extant lineages.

Excess mortality during COVID-19 and prediction of mortality in Bangladesh: an analysis based on death records in urban graveyards

Background

The COVID-19 pandemic significantly impacted global mortality, underscoring the need for reliable data to guide public health policy. In low- and middle-income countries, graveyard-based death records can offer valuable insights into COVID-19-related mortality, yet they remain limited. Additionally, data on mortality beyond the pandemic remains scarce as we approach the 2030 Sustainable Development Goals. We addressed this gap by using graveyard-based data to assess excess mortality during the pandemic (2020-23) and predict mortality trends through 2030.

Methods

We analysed 70 585 deaths from six graveyards in Dhaka, Bangladesh, from January 2001 to December 2023. The data was divided into pre-COVID-19 (2001-19), peak-COVID-19 (2020-21), and end-of-COVID-19 (2022-23) phases. We assessed the excess mortality using the P-score and Bayesian approach. We estimated excess mortality with a log-linear Bayesian model and predicted death trends for 2024-30, reporting incidence rate ratio (IRR) with 95% credible intervals (CrI).

Results

Overall, excess mortality was 69% greater in 2020 and 31% in 2023 compared to the 2018-19 average. The IRR for deaths during peak-COVID-19 was 1.66 times higher than pre-COVID-19 (95% CrI = 1.35-2.04). Neonates had significantly higher IRRs during both the peak (IRR = 1.45; 95% CrI = 1.02-2.05) and end-of-COVID-19 (IRR = 1.67; 95% CrI = 1.02-2.71). Individuals aged >40 years showed a significantly higher IRR during peak-COVID-19 (IRR = 1.79; 95% CrI = 1.46-2.18). Predictions using data between 2001-23 indicate rising mortality, with the number of adult deaths increasing from 3318 in 2023 to 5089 (95% CrI = 3871-6267) by 2030.

Conclusions

We revealed a significant rise in mortality during the pandemic, with elevated death rates persisting at the end of the pandemic. Predictions indicate continued mortality increases through 2030, underscoring the pandemic's long-term health impacts. While further research is needed, these findings highlight the value of graveyard-based death registration data for tracking mortality trends and informing public health strategies.

Characteristics of gut microbiota dysbiosis in patients with colorectal polyps

This editorial, inspired by a recent study published in the World Journal of Gastrointestinal Oncology, covers the research findings on microbiota changes in various diseases. In recurrent colorectal polyps, the abundances of Klebsiella, Parvimonas, and Clostridium increase, while those of Bifidobacterium and Lactobacillus decrease. This dysbiosis may promote the formation and recurrence of polyps. Similar microbial changes have also been observed in colorectal cancer, inflammatory bowel disease, autism spectrum disorder, and metabolic syndrome, indicating the role of increased pathogens and decreased probiotics in these conditions. Regulating the gut microbiota, particularly by increasing probiotic levels, may help prevent polyp recurrence and promote gut health. This microbial intervention strategy holds promise as an adjunctive treatment for patients with colorectal polyps.

Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh

BACKGROUND

Genomic epidemiology has helped reconstruct the global and regional movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is still a lack of understanding of SARS-CoV-2 spread in some of the world's least developed countries (LDCs).

METHODS

To begin to address this disparity, we studied the transmission dynamics of the virus in Bangladesh during the country's first COVID-19 wave by analysing case reports and whole-genome sequences from all eight divisions of the country.

RESULTS

We detected > 50 virus introductions to the country during the period, including during a period of national lockdown. Additionally, through discrete phylogeographic analyses, we identified that geographical distance and population -density and/or -size influenced virus spatial dispersal in Bangladesh.

CONCLUSIONS

Overall, this study expands our knowledge of SARS-CoV-2 genomic epidemiology in Bangladesh, shedding light on crucial transmission characteristics within the country, while also acknowledging resemblances and differences to patterns observed in other nations.

Unveiling the dimension of regional disparities: Assessing the disruption of immunisation services by COVID-19 in Bangladesh

Background

The coronavirus disease 2019 (COVID-19) pandemic disrupted essential health care services worldwide, including those related to immunisation. National data from Bangladesh shows that child immunisation may have been adversely affected by the pandemic but regional evidence is limited. We therefore aimed to explore the regional differences in the indirect effects of COVID-19 on child immunisation in Bangladesh.

Methods

We extracted data from the District Health Information Software (DHIS2) spanning the period from January 2017 to December 2021. We examined three essential immunisation indicators: Bacille Calmette-Guérin (BCG), pentavalent third dose, and measles vaccinations. We examined both the yearly and monthly trends to explore fluctuations in the number of immunisations to pinpoint specific periods of service utilisation regression. Segmented regression with Poisson distribution was implemented given the count-based outcome. We reported incidence rate ratios (IRRs) with 95% confidence intervals (CIs) in different regions in 2020 and 2021 compared to the reference period (2017-19).

Results

We initially observed a notable decline in vaccine administration in April 2020 compared to the pre-pandemic period of 2017-19 with a drop of approximately 53% for BCG vaccines, 55% for pentavalent third doses, and 51% for measles vaccines followed by May 2020. The second half of 2020 saw an increase in vaccination numbers. There were noticeable regional disparities, with Sylhet (IRR = 0.75; 95% CI = 0.67-0.84 for pentavalent administration, IRR = 0.79; 95% CI = 0.71-0.88 for measles administration) and Chattogram (IRR = 0.77; 95% CI = 0.72-0.83 for BCG administration) experiencing the most significant reductions in 2020. In April 2020, Dhaka also experienced the largest decline of 67% in measles vaccination. In 2021, most divisions experienced a rebound in BCG and pentavalent administration, exceeding 2019 levels, except for Chittagong, where numbers continued to decline, falling below the 2019 figure.

Conclusions

Our findings highlight the impact of the COVID-19 pandemic on childhood immunisation across regions in Bangladesh. Sylhet, Chattogram, and Dhaka divisions experienced the most significant reductions in immunisation services during 2020. This underscores the importance of targeted interventions and regional strategies to mitigate the indirect effects of future challenges on essential health care services, particularly childhood immunisation, in Bangladesh.

Prevalence and factors associated with depression and anxiety among the Bangladeshi university entrance test-taking students using GIS technology

This study focuses on Bangladeshi university entrance test-taking students mental health problems and explores the geographical distribution of these problems using GIS technique. A cross-sectional survey was conducted among 1523 university entrance test-taking students. Data were collected on participants' socio-demographic characteristics, COVID-19-related factors, admission tests, depression, and anxiety. Chi-square tests and logistic regression were performed using SPSS software. GIS mapping was used to visualize the distribution of mental health problems across districts using ArcGIS. The study found that the prevalence rates of depression and anxiety among university entrance examinees were 53.8% and 33.2%, respectively. Males exhibited higher rates of depression and anxiety compared to females, while repeat test-taking students were more susceptible to these mental health issues compared to first-time test-takers. Factors such as urban residence, personal/familial COVID-19 infections, and COVID-19 deaths in close relationships were associated with increased mental health problems. District-based distribution showed no significant variation in depression, but anxiety varied significantly. Post-hoc GIS analysis revealed variations in the distribution of depression and anxiety among males, as well as variations in anxiety distribution based on student status across districts. This study emphasizes the high prevalence of depression and anxiety among university entrance examinees, emphasizing the importance of addressing mental health risks in this population. It also suggests the need for reforms in the university entrance test-taking system to reduce psychological problems and advocates for a more inclusive approach to student admissions to alleviate mental health burdens.

Practice and Challenges of Bangladeshi Occupational Therapists during COVID-19: A Cross-Sectional Survey

This descriptive study describes the practice and challenges of occupational therapists in Bangladesh during the COVID-19 pandemic using an online survey. Eighty-four participants who are practising in both clinical and community settings anonymously participated in the study between January - March 2021. About a third (38.5%) of participants continued hands-on service, 29.5% started working from home, 19.2% worked in both methods, and 12.8% stopped working and almost 12% commenced telerehabilitation service as a new practice. This paper describes the practice as well as the different challenges. Implications of the results are explored as well as future needs.

Post-COVID-19 internet addiction, depression, and pornography addiction among adolescents: Findings from a nationwide study in Bangladesh

Background and Aims

Regulations response to COVID-19 has increased internet addiction (IA), depression, and pornography addiction (PA) among adolescents worldwide. The objective of this nationwide study was to assess the current prevalence rate of IA, depression, and PA after the post-COVID-19 period among school-going adolescents in Bangladesh.

Methods

A total of 8832 male and female adolescents participated in this research. The cross-sectional study was conducted online using a simple random sampling method. Including the sociodemographic variables, Young's IA Test (IAT-20) Scale, Patient Health Questionnaire (PHQ-9), and Pornography Craving Questionnaire (PCQ-12) were used to measure IA, depression, and PA. By SPSS version 25.0, the prevalence and correlation between IA, depression, and PA were analyzed using the Chi-square test, binary logistic regression, and a bivariate co-relation matrix.

Results

Sixty-three percent, 76.6%, and 62.9% of the students were suffering from IA, depression, and PA respectively. Depressive and anxious symptoms were significantly associated with IA. Female students were more depressed than males. Males were more addicted to pornography than females. Students who utilized social media but didn't exercise had greater depression and PA. IA, depression, and PA were correlated.

Conclusion

The research emphasizes the need for comprehensive mental health treatments, digital literacy programs, and family and teacher participation to reduce IA, depression, and PA among adolescents post-COVID-19. Promotion of physical exercise and supporting policies to build safer online settings for adolescents are also encouraged.

Impact of COVID-19 on celebration of death, mortuary, and funerary customs in Bangladesh: A qualitative study

Introduction

During the COVID-19 pandemic, restrictions significantly impacted religious activities related to death celebrations, mortuary practices, and funerary rituals in Bangladesh. Bereaved families faced a harsh reality, unable to perform the full rituals for their loved ones due to the pandemic outbreak. This study explores the adjustments and modifications made in cultural rituals and how they affected bereaved families and close relatives.

Objective

This study aims to explore how the COVID-19 pandemic impacted the observance of death rituals in Bangladesh and the effects on bereaved families and close relatives.

Methods

This study employed a qualitative approach and gathered data through 3 key informant interviews (KIIs) and 58 in-depth interviews (IDIs) conducted between December 2020 and January 2021. Purposive sampling was employed to recruit participants from three distinct groups: (1) individuals who had experienced the death of a relative during the pandemic, (2) caregivers who provided support to those experiencing loss, and (3) volunteers actively involved with funeral and burial services. This selection strategy ensured a diverse range of perspectives on the impact of the pandemic on death rituals.

Results

The pandemic forced people to observe funerals or make significant sacrifices to traditional practices reluctantly. Disruptions to long-standing traditions and widespread emotional toll were as various segments of society struggled to find closure in saying goodbye to loved ones. Due to the severity of the pandemic, people became heavily reliant on priests, crematorium workers, and funeral volunteers for mortuary services. Both Hindu and Muslim religions discouraged family gatherings during post-burial rituals. The fear of contracting the virus further limited bereaved families' ability to bid farewell to their deceased loved ones properly.

Conclusion

This research highlights the profound impact of the pandemic on death rituals and the resulting emotional distress for bereaved families in Bangladesh. The findings are pivotal in guiding the development of concrete policies for future pandemic preparedness and response. Such policies might encompass guidelines for safe and culturally sensitive mortuary practices, psychosocial support and grief counseling initiatives for affected communities, and strategies to mitigate religious anxieties during public health emergencies.

Understanding the impacts of COVID-19 pandemic on mental health and well-being among university students in Dhaka, Bangladesh: A nested mixed-methods study

Background

University students are more at risk of mental illness compared with the general population. Declaration of a global COVID-19 pandemic led the Bangladesh government in March 2020 to implement a national lockdown, home quarantining, social distancing measures, and closure of educational institutions. We aimed to explore the impact of lockdown on the mental health and well-being of university students in Bangladesh.

Methods

A nested mixed-methods survey design was undertaken using a semi structured questionnaire and in-depth interviews conducted by telephone of 73 university students (mean age of 22 years, range 18 to 26-years-old) attending public and private academic institutions in Dhaka. A questionnaire was developed de-novo and pre-tested. Qualitative, open-ended questions were used to understand experiences regarding students' mental health and well-being, their perceptions of COVID-19, and coping strategies.

Results

Fifty nine percent of students reported that lockdown had a significant impact on their mental health and well-being. They described difficulties with social isolation and loneliness, motivation, and interpersonal conflict within families. Students' knowledge of COVID-19 were high with television, newspapers, online, and social media were main sources of information; few relied on government reports. Most pressing concerns were timely graduation and employment (83%), not being able to socialize (46%), being stuck at home (37%), and financial difficulties regarding university fees (29%). Additional underlying stressors included financial insecurity of respondents' households and parental health. Coping strategies included watching television or films, online meetings with friends, social media, as well interactions with family.

Conclusion

As a result of Bangladesh's first national lockdown, university students experienced negative effects on their mental health and well-being. There is an urgent need for greater proactive measures within educational settings, such as mental health literacy programmes and diagnosis management that could mitigate and prevent adverse impacts of future lockdowns.

Public and commercial more of the same? The characteristics of the opening monologues of public and commercial channels during the COVID-19 pandemic

The novel coronavirus, COVID-19, first identified in Wuhan, China, in December 2019, rapidly spread across the globe and resulted in significant public concern. In response, numerous countries have implemented guidelines aimed at promoting social distancing, limiting movement and gatherings, instituting lockdowns and curfews, and closing institutions. As a result, the media, including news releases, has become a primary source of information for many individuals (Laor & Lissitsa, 2022). The present study seeks to investigate differences between major television programs featured on public and commercial channels in Israel, utilizing the lens of framing theory. Specifically, twelve monologues broadcast simultaneously on both channels were analyzed to compare differences in content, topics, format, and accompanying visuals. The study's results indicate that both commercial and public channels exhibited similar behavior in shaping public opinion during the crisis period. Specifically, both channels displayed criticism of the government's conduct and utilized negative framing techniques while neglecting to provide space for popular voices. Nevertheless, certain distinctions between the commercial and public broadcasting spheres still persist, particularly in the realm of visual presentation, as some long-standing elements that typify each channel have endured over time.

Strengthening health service delivery and governance through institutionalizing 'Urban Health Atlas'-A geo-referenced Information Communication and Technology tool: Lessons learned from an implementation research in three cities in Bangladesh

INTRODUCTION

Urban health governance in Bangladesh is complex as multiple actors are involved and no comprehensive data are currently available on infrastructure, services, or performance either in public and private sectors of the healthcare system. The Urban Health Atlas (UHA)-a novel and interactive geo-referenced, web-based visualization tool was developed in Bangladesh to provide geospatial and service information to decision makers involved in urban health service planning and governance. Our objective was to study the opportunities for institutionalization of the UHA into government health systems responsible for urban healthcare delivery and document the facilitators and barriers to its uptake.

METHODS

This implementation research was carried out during 2017-2019 in three cities in Bangladesh: Dhaka, Dinajpur and Jashore. During the intervention period, six hands-on trainings on UHA were provided to 67 urban health managers across three study sites. Thirty in-depth and twelve key informant interviews were conducted to understand user experience and document stakeholder perceptions of institutionalizing UHA.

RESULTS

Capacity building on UHA enhanced understanding of health managers around its utility for service delivery planning, decision making and oversight. Findings from the IDIs and KIIs suggest that UHA uptake was challenged by inadequate ICT infrastructure, shortage of human resources and lack of ICT skill among managers. Motivating key decision makers and stakeholders about the potential of UHA and engaging them from its inception helped the institutionalization process.

CONCLUSION

While uptake of UHA by government health managers appears possible with dedicated capacity building initiatives, its use and regular update are challenged by multiple factors at the implementation level. A clear understanding of context, actors and system readiness is foundational in determining whether the institutionalization of health ICTs is timely, realistic or relevant.

'COVID-19 is just another way to die…': a qualitative longitudinal study of frontline COVID-19 response governance across Syria

INTRODUCTION

Governance of COVID-19 responses has been challenging for all countries. Syria has been particularly challenged due to protracted multiparty conflict and debilitated health systems fragmented across different areas of control. To improve response governance, better understanding of frontline response policy implementation across the country is needed. This study thus explored perspectives of COVID-19 response governance among frontline healthcare providers over time and across major areas of control.

METHODS

We used a qualitative longitudinal study design, conducting five rounds of remote semistructured interviews in Arabic (ie, approximately eight interviews each in March 2020, July 2020, September 2020, December 2020 and September 2021) with 14 purposively sampled public and private healthcare providers in the three main areas of control (ie, opposition-controlled area, Autonomous Administration-controlled area and al-Assad government-controlled area (GCA)). We conducted integrative thematic analysis in Arabic within and across geography and time.

RESULTS

Almost all participants across all areas and rounds expressed distrust of local health authorities and dissatisfaction with COVID-19 response governance. This was most apparent in initial rounds and in GCA. Response planning was identified as insufficient, non-participatory and non-transparent. Limited infrastructure and resources were the main challenges across time, though anticipated rapid virus spread and health systems' collapse did not occur and participant optimism increased over time. Public adherence to prevention measures varied-initially weak due to general scepticism, increasing after first cases were confirmed and then fluctuating with case numbers and challenges of insecurity and misinformation. Perceptions of COVID-19 vaccination varied, with low uptake and hesitancy attributed to misinformation, disinformation and disinterest. Suggested improvements to COVID-19 response governance focused on strengthening health systems' capacity and coordination.

CONCLUSION

This is a unique longitudinal study of COVID-19 responses. Addressing transparency and misinformation should be a first step to improving public engagement and trust and thus response governance for health emergencies in Syria.

The impact of COVID-19 on hepatitis B and C virus prevention, diagnosis, and treatment in Bangladesh compared with Japan and the global perspective

AIM

This study aimed to assess the effect of COVID-19 on hepatitis-related services in Bangladesh and compared the situation with same study conducted in Japan and globally.

METHODS

We conducted an online cross-sectional questionnaire survey among the clinicians of four societies associated with liver disease in Bangladesh from October to December 2022. The questionnaire included the same questions as a survey conducted in Japan and globally.

RESULTS

A total of 83 clinicians from 8 divisions in Bangladesh participated; 66.3% were heads of departments/institutions. Except for HCV treatment initiation, more than 30% of clinicians reported a 76-99% decline in all services. Compared to Japan and the global survey, there was a significantly higher decline in all HBV and HCV services in Bangladesh. To resume services back to pre-COVID-19 levels, Patient anxiety and fear (Bangladesh Survey: 80.7% vs Japan Survey: 67.4% vs Global Survey: 37.9%, p < 0.0001), loss of space due to COVID-19 (Bangladesh Survey: 63.9% vs Japan Survey: 34.7% vs Global Survey: 19.4%, p < 0.0001) were the main challenges. As part of the mitigation strategy, usage of telemedicine (Bangladesh Survey: 83.1% vs. Japan Survey: 67.3% vs Global Survey: 78.6% p < 0.0001), COVID-19 benefits, such as increased laboratory testing platforms (Bangladesh Survey: 77.1% vs Japan Survey: 17.9% vs Global Survey: 41.8%, p < 0.0001) was reported significantly higher in Bangladesh than in Japan and global survey.

CONCLUSION

All the services-related to HBV and HCV were highly affected during greatest impact month of COVID-19 in Bangladesh and the decline level was higher than Japan and global survey. Repeated countermeasures of COVID-19 and constrained healthcare-system were the probable reasons in Bangladesh. Positive impact resulting from COVID-19 countermeasures should be utilized in the national hepatitis program in Bangladesh.

COVID-19 in Bangladesh: Wave-centric assessments and mitigation measures for future pandemics

The ongoing pandemic COVID-19 caused by Severe Acute Respiratory Coronavirus-2 (SARS-CoV-2) has wreaked havoc globally by affecting millions of lives. Although different countries found the implementation of emergency measures useful to combat the viral pandemic, many countries are still experiencing the resurgence of COVID-19 cases with new variants even after following strict containment guidelines. Country-specific lessons learned from the ongoing COVID-19 pandemic can be utilized in commencing a successful battle against the potential future outbreaks. In this article, we analyzed the overall scenario of the COVID-19 pandemic in Bangladesh from Alpha to Omicron variant and discussed the demographic, political, economic, social, and environmental influences on the mitigation strategies employed by the country to combat the pandemic. We also tried to explore the preparedness and precautionary measures taken by the responsible authorities, the choice of strategies implemented, and the effectiveness of the response initiated by the government and relevant agencies. Finally, we discussed the possible strategies that might help Bangladesh to combat future COVID-19 waves and other possible pandemics based on the experiences gathered from the ongoing COVID-19 pandemic.

Social support: mediating the emotional intelligence-academic stress link

Introduction

This study examines the relationship between emotional intelligence (EI) and academic stress among tertiary-level students who continued academic activities remotely during the pandemic and the mediating role of social support (SS) in the relationship.

Methods

Using a cross-sectional survey design, 429 students studying business, engineering, social science, and science in Bangladesh provided data via Qualtrics. Using the Structural Equation Modeling in SmartPLS 4 (4.0.8.9), we modeled emotional intelligence as the reflective-formative and social support (support from family, friends, and significant other) and perceived academic stress as the reflective-reflective, second-order constructs. We also conducted a one-way between-groups analysis of variance (ANOVA) to investigate the impact of gender (male and female) and current stage of academic study (Undergraduate year one to four and post-graduation) on emotional intelligence and academic stress, respectively.

Results and discussion

Results show that all the hypothesized relationships are statistically significant: EI is negatively related to perceived academic stress, and SS significantly mediates the relationship between EI and academic stress. Hence, essential strategies are suggested to help students for managing academic stress.

The Fatal Clinical Outcome of Severe COVID-19 in Hospitalized Patients: Findings from a Prospective Cohort Study in Dhaka, Bangladesh

Background and Objectives: The morbidity and mortality associated with COVID-19 have burdened worldwide healthcare systems beyond their capacities, forcing them to promptly investigate the virus characteristics and its associated outcomes. This clinical analysis aimed to explore the key factors related to the fatal outcome of severe COVID-19 cases. Materials and Methods: Thirty-five adult severe COVID-19 patients were enrolled from two COVID-19 hospitals in Dhaka, Bangladesh. Clinical manifestation, comorbid conditions, medications, SARS-CoV-2 RT-PCR related cycle threshold (CT) value, hematology, biochemical parameters with SARS-CoV-2 specific IgG and IgM responses at enrollment were compared between the survivors and deceased participants. Results: Total 27 patients survived and 8 patients died within 3 months of disease onset. Deceased patients suffered longer from shortness of breath than the survived (p = 0.049). Among the severe cases, 62% of the deceased patients had multiple comorbid condition compared to 48% of those who survived. Interestingly, the anti-viral was initiated earlier among the deceased patients [median day of 1 (IQR: 0, 1.5) versus 6.5 (IQR: 6.25, 6.75)]. Most of the survivors (55%) received a combination of anticoagulant (p = 0.034). Liver enzymes, creatinine kinase, and procalcitonin were higher among the deceased patients during enrollment. The median CT value among the deceased was significantly lower than the survivors (p = 0.025). A significant difference for initial IgG (p = 0.013) and IgM (p = 0.030) responses was found between the survivor and the deceased groups. Conclusions: The factors including older age, male gender, early onset of respiratory distress, multiple comorbidities, low CT value, and poor antibody response may contribute to the fatal outcome in severe COVID-19 patients. Early initiation of anti-viral and a combination of anticoagulant treatment may prevent or lower the fatality among severe COVID-19 cases.

COVID-19 knowledge, attitude, practices, and associated factors among Bangladeshi food handlers from various food industries

Background and objectives

It is believed that preventive safety measures are the most effective way to avoid the COVID-19. The adherence of workers to these measures is largely determined by their knowledge, attitude, and practices (KAP). Because they are in close proximity to consumable items, workers in the food industry must be especially vigilant during this period. The purpose of this present study was to evaluate the COVID-19 knowledge, attitudes, and practices of food handlers in different food industries of Bangladesh.

Study design

This was a cross-sectional study.

Methods

This included the participation of 400 food handlers from 15 food industries. The information was collected from the participants through a questionnaire prepared in Google form. Different nonparametric tests and a linear regression model were performed for statistical analysis.

Results

With a correct response rate of about 90% on average (knowledge 89.7%, attitude 93%, practices 88.2%), the participants showed an acceptable KAP (>80% correct response) regarding COVID-19. Education (p = 0.00) and working experiences (p = 0.01) had a significant association with the total KAP scores.

Conclusion

Food handlers in the food industries of Bangladesh have adequate knowledge, a positive attitude, and the desired practices regarding the COVID-19 issue.

An interactive national digital surveillance system to fight against COVID-19 in Bangladesh

Background

COVID-19 has affected many people globally, including in Bangladesh. Due to a lack of preparedness and resources, Bangladesh has experienced a catastrophic health crisis, and the devastation caused by this deadly virus has not yet been halted. Hence, precise and rapid diagnostics and infection tracing are essential for managing the condition and limiting its spread. The conventional screening procedure, such as reverse transcription polymerase chain reaction (RT-PCR), is not available in most rural areas and is time-consuming. Therefore, a data-driven intelligent surveillance system can be advantageous for rapid COVID-19 screening and risk estimation.

Objectives

This study describes the design, development, implementation, and characteristics of a nationwide web-based surveillance system for educating, screening, and tracking COVID-19 at the community level in Bangladesh.

Methods

The system consists of a mobile phone application and a cloud server. The data is collected by community health professionals via home visits or telephone calls and analyzed using rule-based artificial intelligence (AI). Depending on the results of the screening procedure, a further decision is made regarding the patient. This digital surveillance system in Bangladesh provides a platform to support government and non-government organizations, including health workers and healthcare facilities, in identifying patients at risk of COVID-19. It refers people to the nearest government healthcare facility, collecting and testing samples, tracking and tracing positive cases, following up with patients, and documenting patient outcomes.

Results

This study began in April 2020, and the results are provided in this paper till December 2022. The system has successfully completed 1,980,323 screenings. Our rule-based AI model categorized them into five separate risk groups based on the acquired patient information. According to the data, around 51% of the overall screened populations are safe, 35% are low risk, 9% are high risk, 4% are mid risk, and the remaining 1% is very high risk. The dashboard integrates all collected data from around the nation onto a single platform.

Conclusion

This screening can help the symptomatic patient take immediate action, such as isolation or hospitalization, depending on the severity. This surveillance system can also be utilized for risk mapping, planning, and allocating health resources to more vulnerable areas to reduce the virus's severity.

Dynamic antibody response in SARS-CoV-2 infected patients and COVID-19 vaccine recipients alongside vaccine effectiveness in comorbid and multimorbid groups

OBJECTIVES

Underlying medical conditions are critical risk factors for COVID-19 susceptibility and its rapid clinical manifestation. Therefore, the preexisting burden of non-communicable diseases (NCDs) makes the preparedness for COVID-19 more challenging for low- and middle-income countries (LMICs). These countries have relied on vaccination campaigns as an effective measure to tackle COVID-19. In this study, we investigated the impact of comorbidities on humoral antibody responses against the specific receptor-binding domain (RBD) of SARS-CoV2.

METHODS

A total of 1005 patients were selected for the SARS-CoV-2 specific immunoglobulin G (IgG1, IgG2, IgG3, and IgG4 subclasses) and total antibody (TAb) tests (IgG and IgM), of which 912 serum samples were ultimately selected based on the specimen cutoff analyte value. Patients with multimorbidity (N = 60) were recruited for follow-up studies from the initial cohort, and their immune response (IgG and TAb) was measured at multiple time points after the second dose of vaccination. Siemens Dimension Vista SARS-CoV-2 IgG (CV2G) and SARS-CoV-2 TAb assay (CV2T) were used to carry out the serology test.

RESULTS

Out of a total of 912 participants, vaccinated individuals (N = 711) had detectable antibody responses up to 7-8 months. The synergistic effect of natural infection and vaccine response was also studied. Participants with breakthrough infections (N = 49) mounted a greater antibody response compared to individuals with normal vaccination response (N = 397) and those who were naturally infected before receiving the second dose of vaccine (N = 132). Investigation of the impact of comorbidities revealed that diabetes mellitus (DM) (N = 117) and kidney disease (N = 50) had a significant negative impact on the decline of the humoral antibody response against SARS-CoV-2. IgG and TAb declined more rapidly in diabetic and kidney disease patients compared to the other four comorbid groups. Follow-up studies demonstrated that antibody response rapidly declined within 4 months after receiving the second dose.

CONCLUSION

The generalized immunization schedule for COVID-19 needs to be adjusted for high-risk comorbid groups, and a booster dose must be administered early within 4 months after receiving the second dose.

People's Perceptions and Coping Strategies During the COVID-19 Pandemic: A Phenomenological-Longitudinal Study in Bangladesh

By emphasizing the Terror Management Theory, this study investigated the participants' perceptions, psychological experiences, coping strategies, and behavioral changes during the pandemic in Bangladesh in two phases: first, after the pandemic's immediate outbreak, and second, after 3 months of the pandemic (daily infection cases were very high). To perform the research, an empirical-phenomenological method was used. Findings indicate that at the first stage, participants' death phobia was extremely high, and poor medical facilities, religious struggles, imprudent behavior of others, concerns for family members, and a tendency to compare the socioeconomic status with other developed countries affected participants' emotions severely. Later on, participants' perceptions of the disease changed significantly. This study highlights that people's behavior varies depending on whether the thought of death is in the center or on the periphery of their attention. In both stages, religious faith and rituals played a crucial role in coping with the crisis situation.

Change in prevalence over time and factors associated with depression among Bangladeshi older adults during the COVID-19 pandemic

BACKGROUND

Globally, the COVID-19 pandemic seriously affected both physical and mental health conditions. This study aims to assess changes in the prevalence of depression among older adults during the COVID-19 pandemic in Bangladesh and explore the correlates of depression in pooled data.

METHODS

This study followed a repeated cross-sectional design and was conducted through telephone interviews on two successive occasions during the COVID-19 pandemic (October 2020 and September 2021) among 2077 (1032 in 2020-survey and 1045 in 2021-survey) older Bangladeshi adults aged 60 years and above. Depression was measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depression in pooled data.

RESULTS

A significant increase in the prevalence of depression was noted in the 2021 survey compared to the 2020 survey (47.2% versus 40.3%; adjusted odds ratio (aOR): 1.40, 95% confidence interval (CI): 1.11-1.75). Depression was significantly higher among participants without a partner (aOR 1.92, 95% CI 1.45-2.53), with a monthly family income of <5000 BDT (aOR: 2.65, 95% CI 1.82-3.86) or 5000-10 000 BDT (aOR: 1.30, 95% CI 1.03-1.65), living alone (aOR 2.24, 95% CI 1.40-3.61), feeling isolated (aOR 3.15, 95% CI 2.49-3.98), with poor memory/concentration (aOR 2.02, 95% CI 1.58-2.57), with non-communicable chronic conditions (aOR 1.34, 95% CI 1.06-1.69), overwhelmed by COVID-19 (aOR 1.54, 95% CI 1.18-2.00), having difficulty earning (aOR 1.49, 95% CI 1.15-1.92) or obtaining food (aOR 1.56, 95% CI 1.17-2.09) during COVID-19 pandemic, communicating less frequently (aOR 1.35, 95% CI 1.07-1.70) and needing extra care (aOR 2.28, 95% CI 1.75-2.96) during the pandemic.

CONCLUSIONS

Policymakers and public health practitioners should provide immediate mental health support initiatives for this vulnerable population during the COVID-19 pandemic and beyond. Policymakers should also invest in creating safe places to practise mindful eating, exercise, or other refuelling activities as a means of preventing and managing depression.

Health-related quality of life of the adult COVID-19 patients following one-month illness experience since diagnosis: Findings of a cross-sectional study in Bangladesh

The coronavirus disease 2019 (COVID-19) stances an incredible impact on the quality of life and denigrates the physical and mental health of the patients. This cross-sectional study aimed to assess the health-related quality of life (HRQOL) of COVID-19 patients. We conducted this study at the National Institute of Preventive and Social Medicine (NIPSOM) of Bangladesh for the period of June to November 2020. All the COVID-19 patients diagnosed by real-time reverse transcriptase-polymerase chain reaction (RT-PCR) assay in July 2020 formed the sampling frame. The study enrolled 1204 adult (aged >18 years) COVID-19 patients who completed a one-month duration of illness after being RT-PCR positive. The patients were interviewed with the CDC HRQOL-14 questionnaire to assess HRQOL. Data were collected by telephone interview on the 31st day of being diagnosed and by reviewing medical records using a semi-structured questionnaire and checklist. Around two-thirds (72.3%) of the COVID-19 patients were males and a half (50.2%) were urban residents. In 29.8% of patients, the general health condition was not good. The mean (±SD) duration of physical illness and mental illness was 9.83(±7.09) and 7.97(±8.12) days, respectively. Most of the patients (87.0%) required help with personal care, and 47.8% required assistance with routine needs. The mean duration of 'healthy days' and 'feeling very healthy' was significantly lower in patients with increasing age, symptoms, and comorbidity. The mean duration of 'usual activity limitation', 'health-related limited activity', 'feeling pain/worried', and 'not getting enough rest' were significantly higher among patients' having symptoms and comorbidity. 'Not so good' health condition was significantly higher in females (OR = 1.565, CI = 1.01-2.42) and those having a symptom (OR = 32.871, CI = 8.06-134.0) of COVID-19 and comorbidity (OR = 1.700, CI = 1.26-2.29). Mental distress was significantly higher among females (OR = 1.593, CI = 1.03-2.46) and those having a symptom (OR = 4.887, CI = 2.58-9.24). Special attention should be given to COVID-19 patients having symptoms and comorbidity to restore their general health, quality of life, and daily activities.

Knowledge, attitudes and practices of COVID-19 in rural Bangladesh: a cross-sectional study

OBJECTIVES

Understanding the knowledge, attitudes and practices (KAP) of COVID-19 within distinct populations may aid further public health messaging. This study's aims were to explore KAP towards COVID-19 in rural Bangladesh and identify any potential links to sociodemographics, existing clinical conditions and sources of information.

DESIGN

Cross-sectional community-based study.

SETTING

Participants were recruited from 18 villages using multistage cluster random sampling.

METHODS

Data were collected through face-to-face interviews, from June to November 2021, using a structured questionnaire. Data included sociodemographics, clinical conditions, sources of information and KAP of COVID-19 questions. Χ² test, multiple logistic regression and correlation analyses were performed.

RESULTS

A total of 1603 participants were included with mean ages of 42.3±14.2 years, ranging from 18 to 60 years. Of these, 51% were male, 42.2% had secondary education and 45% had comorbidities. Television was the main source of COVID-19 information (55.8%). The overall correct response rate of KAP questions was 90%, 78% and 59%, respectively. In stepwise multiple logistic regression, good knowledge was associated with higher education (adjusted OR (AOR): 4.61, 95% CI: 2.40 to 8.85, p<0.001), employment, high body mass index (overweight and obese) and trust in the sources of information. Being female (AOR: 1.48, 95% CI: 1.19 to 1.85, p<0.001), having depression (AOR: 1.80, 95% CI: 1.34 to 2.43, p<0.001), being a past smoker and sources of information (family members/friends/relatives/neighbours) were associated with positive attitudes. Good practices were associated with older age (AOR: 1.52, 95% CI: 1.10 to 2.11, p=0.01), higher education (AOR: 2.78, 95% CI: 1.58 to 4.89, p<0.001) and having anxiety, while current smokers and fully vaccinated people were less likely to be engaged in good practices. Positive significant correlations between domains of KAP were observed as well as between past vaccination KAP and COVID-19 KAP.

CONCLUSION

This study uncovered gaps in understanding and practices, and identified targeted intervention especially for young and less educated people using mass media to promote updated knowledge regarding COVID-19 and the efficacy of preventive practices.

A Statistical Synopsis of COVID-19 Components and Descriptive Analysis of Their Socio-Economic and Healthcare Aspects in Bangladesh Perspective

The aim of the work is to analyze the socio-economic and healthcare aspects that arise in the contemporary COVID-19 situation from Bangladesh perspective. We elaborately discuss the successive COVID-19 occurrences in Bangladesh with consequential information. The components associated with the COVID-19 commencement and treatment policy with corresponding features and their consequences are patently delineated. The effect of troublesome issues related to the treatment is detailed with supporting real-time data. We elucidate the applications of modern technologies advancement in epidemiological aspects and their existent compatibility in Bangladesh. We statistically analyze the real-time data through figurative and tabular approaches. Some relevant measures of central tendency and dispersion are utilized to explore the data structure and its observable specifications. For a clear manifestation, Z- scores of the COVID-19 components are analyzed through the Box-Whisker plot. We have discovered that the gathered data exhibit features that are unsatisfactory for the normal distribution, are highly positively skewed, and are predominated by the earliest occurrences. Infections and deaths were initially lower than the global average, but they drastically rose in the first quarter of 2021 and persisted for the remainder of the year. Substantial preventive results were produced by the region-wisetime-worthy moves. In the fourth quarter of 2021, the infections and deaths noticeably decreased, and the number of recoveries was highly significant. In the middle of 2022, a lethal rise in infections was observed in Bangladesh and that was quickly stabilized, and the pandemic ingredients were under control. According to our assessment, some concluding remarks are made at the end of this work.

Assessment of Level of Depression and Associated Factors among COVID-19-Recovered Patients: a Cross-Sectional Study

The coronavirus disease 2019 (COVID-19) pandemic has psychological consequences such as increased risk of depression, anxiety, and stress problems, exacerbating human health disparities. This study aimed to analyze depression and its causes in COVID-19-recovered patients in Bangladesh. A cross-sectional study was conducted on COVID-19-recovered patients who attended follow-up visits after 14 days to 3 months at Dhaka Medical College Hospital (DMCH) and Dhaka North City Corporation Hospital (DNCCH), Dhaka, Bangladesh, from 1 January to 31 December 2021. Respondents were face-to-face interviewed with a semistructured questionnaire after written agreement. The Patient Health Questionnaire (PHQ-9) was used to assess respondents' depression, and data were analyzed using SPSS version 23, with a P value of <0.05 indicating statistical significance. A total of 325 COVID-19-recovered patients aged from 15 to 65 years (mean, 44.34 ± 13.87 years) were included in this study, the highest proportion (23.1%) of them were aged 46 to 55 years, and the majority (61.5%) of them were male. There were 69.5% of respondents who had no signs of depression while 31% of them did have signs, with 26.7% being mildly depressed, 2.5% being extremely depressed, and 1.2% being severely depressed. Diabetes mellitus, hospitalization duration, social distancing, social media posts on COVID-19, loss of employment, family damage, and fear of reinfection were significantly associated with depression level of respondents. This study gives us a glimpse into the psychological health of COVID-19-recovered patients, and its findings highlight the imperative of alleviating their psychological anguish in Bangladesh. IMPORTANCE The COVID-19 pandemic had a significant psychological impact on healthy populations, with increased depression, perceived stress, posttraumatic stress disorder, and insomnia reported. The COVID-19 pandemic affects people's mental health by instilling fear of infection and depression. In the post-COVID-19 syndrome, depressive symptoms and clinically significant depression may have serious consequences for quality-of-life outcomes. To combat the spread of COVID-19, the Bangladesh government has implemented a number of measures, including lockdown, social distancing, self-isolation, and quarantine. Given the negative consequences, it is critical to investigate potential factors and mechanisms that may shed light on mental health improvement. The purpose of the study is to determine the level of depression in patients 3 months after recovering from acute COVID-19. The study's findings highlight the need for COVID-19-infected people in Bangladesh to receive health education and interventions.

Reduced IFN-γ levels along with changes in hematologic and immunologic parameters are key to COVID-19 severity in Bangladeshi patients

The manifestation of coronavirus disease 2019 (COVID-19) severity and mortality has been associated with dysregulation of the immune response, often influenced by racial disparities and conferred by changes in hematologic and immunologic parameters. These biological and hematologic parameters as well as cytokine profiles were investigated in a cohort of 61 COVID-19-positive patients (categorized into mild, moderate, and severe groups) from Bangladesh using standard analytical methods. The data reported that the interleukin (IL)-4 and IL-6 levels were significantly increased, whereas the levels of interferon (IFN)-γ were significantly reduced in patients with severe COVID-19 (p < 0.05) compared with those in patients with mild and/or moderate COVID-19. The extent of erythrocyte sedimentation rate (ESR); neutrophil count; and levels of ferritin, C-reactive protein (CRP), and D-dimer (p < 0.05) were found to be significantly increased, whereas the white blood cell (WBC), lymphocyte, eosinophil, and platelet counts (p < 0.05) were observed to be significantly reduced in patients with severe COVID-19 compared with those in the patients in other 2 groups. Our study exhibited a significantly higher IL-6-to-lymphocyte ratio in patients with severe COVID-19 than in those with mild and moderate COVID-19. The calculated neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and ferritin-to-ESR ratio were significantly increased in patients with severe COVID-19. The increase in the IL-4 and IL-6 levels along with CRP and D-dimer levels may envisage a hyperinflammatory environment and immune dysregulation, which contribute to prolonged viral persistence, leading to severe disease. However, the reduced level of IFN-γ can be attributed to a less fatality toll in Bangladesh compared with that in the rest of the world.

Sociodemographic, economic, physical, and mental health status of previously hospitalised patients with COVID-19 symptoms in Bangladesh: Protocol for a mixed-method study

Introduction

Not much is known about the long-term consequences of COVID-19, popularly known as long COVID. This is particularly so in terms of patterns and clusters of symptoms over time, sociodemographic and economic characteristics of patients, and related clinical history. This is crucial for resource-constrained health systems such as Bangladesh to address long COVID as a forthcoming challenge. This protocol aims to investigate the consequences of COVID-19 over time for physical and mental health and how these are associated with demographic and socio-economic factors.

Methods and analysis

This mixed-method study collected information on all patients with symptoms of COVID-19 admitted to and discharged after recovery from a COVID-19-dedicated hospital in Bangladesh (N = 942), from April to December 2020. The sources of data were admission records and discharge certificates from the hospital for clinical history, cross-sectional survey on physical and mental health (assessed by DASS21 scale)-related symptoms and socioeconomic changes after recovery, and qualitative in-depth interviews on experiences of COVID-19. Interviews were conducted over the phone. Quantitative analysis was done to estimate the prevalence of physical and mental health consequences of COVID-19 after recovery and the association with socio-economic and demographic information. The qualitative analysis was performed using a thematic analysis approach.

Discussion

It is imperative to understand the post-COVID consequences and related health and non-health aspects to inform evidence-based policymaking, especially for resource-poor contexts such as Bangladesh. Given the dearth of evidence in this regard, the proposed study will contribute to bridging this knowledge gap. It is important to note that this study is one of the few which presents information on post-COVID-19 consequences in the context of low- and middle-income countries and the first in Bangladesh.

An Insight into COVID-19 and Traditional Herbs: Bangladesh Perspective

SARS-CoV-2 was first discovered in Wuhan in late 2019 and has since spread over the world, resulting in the present epidemic. Because targeted therapeutics are unavailable, scientists have the opportunity to discover new drugs or vaccines to counter COVID-19, and therefore a number of synthetic bioactive compounds are now being tested in clinical studies. Due to its broad therapeutic spectrum and low adverse effects, medicinal herbs have been used as traditional healing medication in those countries for ages. Due to a lack of synthetic bioactive antiviral medications, pharmaceutical and alternative therapies have been developed using a variety of herbal compositions. Due to the widespread availability of herbal and dietary products worldwide, people frequently use them. Notably, the majority of Bangladeshi people continue to use a variety of natural plants and herbs to treat various types of diseases. This review article discusses how previous research has shown that some herbs in Bangladesh have immunomodulatory and antiviral effects and how their active ingredients have been gathered. Even though FDA-approved medications and vaccines are available for the treatment of COVID-19, the purpose is to encourage the use of herbal medicine as immunomodulators and vaccine adjuvants for the treatment of COVID-19 prevention.

Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images

COVID-19 is one of the most life-threatening and dangerous diseases caused by the novel Coronavirus, which has already afflicted a larger human community worldwide. This pandemic disease recovery is possible if detected in the early stage. We proposed an automated deep learning approach from Computed Tomography (CT) scan images to detect COVID-19 positive patients by following a four-phase paradigm for COVID-19 detection: preprocess the CT scan images; remove noise from test image by using anisotropic diffusion techniques; make a different segment for the preprocessed images; and train and test COVID-19 detection using Convolutional Neural Network (CNN) models. This study employed well-known pre-trained models, including AlexNet, ResNet50, VGG16 and VGG19 to evaluate experiments. 80% of images are used to train the network in the detection process, while the remaining 20% are used to test it. The result of the experiment evaluation confirmed that the VGG19 pre-trained CNN model achieved better accuracy (98.06%). We used 4861 real-life COVID-19 CT images for experiment purposes, including 3068 positive and 1793 negative images. These images were acquired from a hospital in Sao Paulo, Brazil and two other different data sources. Our proposed method revealed very high accuracy and, therefore, can be used as an assistant to help professionals detect COVID-19 patients accurately.

Effect of COVID-19 Pandemic on Maternal and Child Health Services and Strategies for Effective Service Implementation in Ethiopia

Introduction

The COVID-19 pandemic is a global burden to the Health sector of developing countries. However, the effect of COVID-19 on maternal and child health services is scarce and no evidence was documented in the Ethiopian context. Hence, this particular study aimed to examine the effect of the pAndemic and to identify effective strategies in Ethiopia.

Methods

Both quantitative and qualitative approaches were applied. For the qualitative, 74 study participants were considered. Study participants were selected purposively and interview guide was used to collect data. Finally audio records were transcribed verbatim, coded and analyzed thematically. For the quantitative, data were extracted from the DHIS2 reports to assess the trend over time.

Results

The qualitative findings indicated that the pandemic affected the MNCH services to be inaccessible and low quality. The trend analysis also showed that the COVID-19 has disrupted MNCH services particularly in the first two months Of the pandemic. Health workers also faced a scarcity of personal protective equipment, work overload and shortage Of resources during the pandemic. As a cope up strategy, the Health system at all levels has established a COVID-19 task force supported by a working guideline. There is also a media prevention program, establishment of quarantine at home, resource mobilization, active surveillance, availing extra ambulances and strong follow-up.

Conclusion

Multiple interventions applied to curb the pandemic have lowered MNCH service utilization. The low commitment of health workers, resources shortage and movement restrictions had a an impact on the uptake of MCH services. There should be a balance in resource utilization to COVID and other essential Health services and the government should avail the necessary supplies during the COVID era. Regionally tailored adaptive interventions are also required to improve MNCH service uptake. Extensive media advocacy and HEWs active involvement for community mobilization are also recommended.

COVID-19 related anxiety and its associated factors: a cross-sectional study on older adults in Bangladesh

BACKGROUND

The COVID-19 pandemic has resulted in serious mental health conditions, particularly among older adults. This research explored the prevalence of COVID-19-related anxiety and its associated factors among older adults residing in Bangladesh.

METHODS

This cross-sectional study was conducted among 1,045 older Bangladeshi adults aged ≥ 60 years through telephone interviews in September 2021. A semi-structured interview schedule was used to collect data on participants' characteristics and COVID-19-related anxiety. The anxiety level was measured using the Bengali version of the five-point Coronavirus Anxiety Scale (CAS). A linear regression model explored the factors associated with COVID-19-related anxiety.

RESULTS

Overall, the prevalence of COVID-19-related anxiety was 23.2%. The regression analysis revealed that the average COVID-19-related anxiety score was significantly higher among females (β: 0.43, 95% CI: 0.05 to 0.81), and among those who faced difficulty getting medicine (β: 0.57, 95% CI: 0.16 to 0.97), felt isolated (β: 0.60, 95% CI: 0.24 to 0.95), and felt requiring additional care during the pandemic (β: 0.53, 95% CI: 0.16 to 0.91). Alternatively, the average COVID-19-related anxiety score was significantly lower among those who were widowed (β: -0.46, 95% CI: -0.87 to -0.04) and living distant from the health centre (β: -0.48, 95% CI: -0.79 to -0.17).

CONCLUSION

The findings of the present study suggest providing immediate psychosocial support package to the older adults, particularly females and those who are vulnerable to receive health and social care support during the COVID-19 pandemic in Bangladesh.

A systematic review of strategies adopted to scale up COVID-19 testing in low-, middle- and high-income countries

OBJECTIVE

We undertook a systematic review of strategies adopted to scale up COVID-19 testing in countries across income levels to identify successful approaches and facilitate learning.

METHODS

Scholarly articles in English from PubMed, Google scholar and Google search engine describing strategies used to increase COVID-19 testing in countries were reviewed. Deductive analysis to allocate relevant text from the reviewed publications/reports to the a priori themes was done.

MAIN RESULTS

The review covered 32 countries, including 11 high-income, 2 upper-middle-income, 13 lower-middle-income and 6 low-income countries. Most low- and middle-income countries (LMICs) increased the number of laboratories available for testing and deployed sample collection and shipment to the available laboratories. The high-income countries (HICs) that is, South Korea, Germany, Singapore and USA developed molecular diagnostics with accompanying regulatory and legislative framework adjustments to ensure the rapid development and use of the tests. HICs like South Korea leveraged existing manufacturing systems to develop tests, while the LMICs leveraged existing national disease control programmes (HIV, tuberculosis, malaria) to increase testing. Continent-wide, African Centres for Disease Control and Prevention-led collaborations increased testing across most African countries through building capacity by providing testing kits and training.

CONCLUSION

Strategies taken appear to reflect the existing systems or economies of scale that a particular country could leverage. LMICs, for example, drew on the infectious disease control programmes already in place to harness expertise and laboratory capacity for COVID-19 testing. There however might have been strategies adopted by other countries but were never published and thus did not appear anywhere in the searched databases.

Health-related quality of life and coping strategies adopted by COVID-19 survivors: A nationwide cross-sectional study in Bangladesh

INTRODUCTION

This study aims to investigate the health-related quality of life and coping strategies among COVID-19 survivors in Bangladesh.

METHODS

This is a cross-sectional study of 2198 adult, COVID-19 survivors living in Bangladesh. Data were collected from previously diagnosed COVID-19 participants (confirmed by an RT-PCR test) via door-to-door interviews in the eight different divisions in Bangladesh. For data collection, Bengali-translated Brief COPE inventory and WHO Brief Quality of Life (WHO-QoLBREF) questionnaires were used. The data collection period was from October 2020 to March 2021.

RESULTS

Males 72.38% (1591) were more affected by COVID-19 than females 27.62% (607). Age showed significant correlations (p<0.005) with physical, psychological and social relationships, whereas gender showed only a significant correlation with physical health (p<0.001). Marital status, occupation, living area, and co-morbidities showed significant co-relation with all four domains of QoL (p<0.001). Education and affected family members showed significant correlation with physical and social relationship (p<0.001). However, smoking habit showed a significant correlation with both social relationship and environment (p<0.001). Age and marital status showed a significant correlation with avoidant coping strategies (p<0.001); whereas gender and co-morbidities showed a significant correlation with problem-focused coping strategies (p<0.001). Educational qualification, occupation and living area showed significant correlation with all three coping strategies(p<0.001).

CONCLUSION

Survivors of COVID-19 showed mixed types of coping strategies; however, the predominant coping strategy was avoidant coping, followed by problem-focused coping, with emotion-focused coping reported as the least prevalent. Marital status, occupation, living area and co-morbidities showed a greater effect on QoL in all participants. This study represents the real scenario of nationwide health-associated quality of life and coping strategies during and beyond the Delta pandemic.

Analyzing the spatio-temporal directions of air pollutants for the initial wave of Covid-19 epidemic over Bangladesh: Application of satellite imageries and Google Earth Engine

One of the most critical issues for city viability and global health is air quality. The shutdown interval for the COVID-19 outbreaks has turned into an ecological experiment, allowing researchers to explore the influence of human/industrial operations on air quality. In this study, we have observed and examined the spatial pattern of air pollutants, specifically CO, NO₂, SO₂, O3 as well as AOD Over Bangladesh. For that reason, the timeline was chosen from March 2019 to October 2020 (before and during the first surge of COVID-19). The full analysis has been performed in Google Earth Engine (GEE). The findings showed that, CO, SO₂, and AOD levels dropped significantly, but SO₂ dropped slowly and O₃ levels were similar, with marginally greater quantities in some areas during the lockdown than in 2019. During the shutdown, the association involving airborne pollutants and weather parameters (temperature and rainfall) revealed that rainfall and temperature were directly associated with air pollutants. COVID-19 mortality had a high positive connection with NO₂ (R² = 0.145; r = 0.38) and AOD (R² = 0.17; r = 0.412). It is also found that various air impurities concentration has a strong relationship with Covid death. It would help the policymakers and officials to gain a better understanding of the sources of atmospheric emissions to develop a substantial proof of short- and long-term mitigation ways to enhance air quality and reduce the associated disease and disability burden.

Genomic and evolutionary study from SARS-CoV-2 virus isolates from Bangladesh during the early stage of pandemic strongly correlate with European origin and not with China

The goal of this study was to identify the genomic variants and determine molecular epidemiology of SARS-CoV-2 virus during the early pandemic stage in Bangladesh. Viral RNA was extracted, converted to cDNA, and amplified using Ion AmpliSeq™ SARS-CoV-2 Research Panel. 413 unique mutants from 151 viral isolates were identified. 80% of cases belongs to 8 mutants: 241C toT, 1163A toT, 3037C toT, 14408C toT, 23403A toG, 28881G toA, 28,882 G toA, and 28883G toC. Observed dominance of GR clade variants that have strong presence in Europe, suggesting European channel a possible entry route. Among 37 genomic mutants significantly associated with clinical symptoms, 3916CtoT (associated with sore-throat), 14408C to T (associated with cough-protection), 28881G to A, 28882G to A, and 28883G to C (associated with chest pain) were notable. These findings may inform future research platforms for disease management and epidemiological study.

CRISPR-Cas13: A new technology for the rapid detection of pathogenic microorganisms

Pathogenic microorganisms have major impacts on human lives. Rapid and sensitive diagnostic tools are urgently needed to facilitate the early treatment of microbial infections and the effective control of microbial transmission. CRISPR-Cas13 employs programmable RNA to produce a sensitive and specific method with high base resolution and thus to provide a novel tool for the rapid detection of microorganisms. The review aims to provide insights to spur further development by summarizing the characteristics of effectors of the CRISPR-Cas13 system and by describing the latest research into its application in the rapid detection of pathogenic microorganisms in combination with nucleic acid extraction, isothermal amplification, and product detection.

Performance Evaluation of Developed Bangasure™ Multiplex rRT-PCR Assay for SARS-CoV-2 Detection in Bangladesh: A Blinded Observational Study at Two Different Sites

In this study, we evaluated the performance of the in-house developed rRT-PCR assay for SARS-CoV-2 RNA targeting the envelope (E) and nucleocapsid (N) genes with internal control as human RNase P. A total of 50 positive samples and 50 negative samples of SARS-CoV-2 were tested by a reference kit at site 1 and a subset (30 positives and 16 negatives) of these samples are tested blindly at site 2. The limit of detection (LoD) was calculated by using a replication-deficient complete SARS-CoV-2 genome and known copy numbers, where Pseudo-virus samples were used to evaluate accuracy. On site 1, among the 50 SARS-CoV-2 positive samples 24, 18, and eight samples showed high (Ct < 26), moderate (26 < Ct ≤ 32), and low (32 < Ct ≤ 38) viral load, respectively, whereas in site 2, out of 30 SARS-CoV-2 positive samples, high, moderate, and low viral loads were found in each of the 10 samples. However, SARS-CoV-2 was not detected in the negative sample. So, in-house assays at both sites showed 100% sensitivity and specificity with no difference observed between RT PCR machines. The Ct values of the in-house kit had a very good correlation with the reference kits. LoD was determined as 100 copies/mL. It also displayed 100% accuracy in mutant and wild-type SARS-CoV-2 virus. This Bangasure™ RT-PCR kit shows excellent performance in detecting SARS-CoV-2 viral RNA compared to commercially imported CE-IVD marked FDA authorized kits.

Social media addiction and emotions during the disaster recovery period-The moderating role of post-COVID timing

BACKGROUND

Social media addiction, a recently emerged term in medical science, has attracted the attention of researchers because of its significant physical and psychological effects on its users. The issue has attracted more attention during the COVID era because negative emotions (e.g., anxiety and fear) generated from the COVID pandemic may have increased social media addiction. Therefore, the present study investigates the role of negative emotions and social media addiction (SMA) on health problems during and after the COVID lockdown.

METHODS

A survey was conducted with 2926 participants aged between 25 and 45 years from all eight divisions of Bangladesh. The data collection period was between 2nd September- 13th October, 2020. Partial Least Square Structural Equation Modelling (PLS-SEM) was conducted for data analysis by controlling the respondents' working time, leisure time, gender, education, and age.

RESULTS

Our study showed that social media addiction and time spent on social media impact health. Interestingly, while anxiety about COVID increased social media addition, fear about COIVD reduced social media addition. Among all considered factors, long working hours contributed most to people's health issues, and its impact on social media addiction and hours was much higher than negative emotions. Furthermore, females were less addicted to social media and faced less health challenges than males.

CONCLUSION

The impacts of negative emotions generated by the COVID disaster on social media addiction and health issues should be reconsidered. Government and employers control people's working time, and stress should be a priority to solve people's social media addiction-related issues.

Health-Related Self-Care Strategies and Coping Resources During the COVID-19 Pandemic: An Online-Based Cross-Sectional Study

Background: Complementary medicine (CM) is often used as an opportunity for preventive health measures and supportive self-care practices. This study aimed to explore the use of self-care practices and preventive health strategies and the aspects of the experienced emotions during the COVID-19 pandemic in a population with an affinity for CM. Methods: The authors conducted an exploratory cross-sectional study using an anonymous 41-item online survey in the German language. The survey respondents were recruited among adults with an affinity for CM (e.g., as targeted through their memberships in CM associations) from September 2020 to February 2021. A selection of self-care methods, mainly from CM, was presented in the questionnaire. Numerical rating scales (NRSs), ranging from 0 = minimum to 10 = maximum, were used to measure the intensity of different emotions experienced during the pandemic. Statistical analysis was carried out descriptively. Results: A total of 1605 participants (80.6% female; mean age: 55.4 ± 12.6 [SD] years; 43.9% holding a university degree) were included. The use of self-care methods for health promotion during the pandemic was reported by 86.8% of the respondents. Respondents favored staying in nature (85.6%), healthy nutrition (85.6%), and physical activities (83.6%). More than 60% of the respondents made use of vitamin C and/or D, herbal medicines, nutritional supplements, relaxation techniques, breathing exercises, homeopathy, or meditation for health promotion. The analysis of emotional status by NRS (0-10) revealed the lowest mean ± SD (standard deviation) for "feeling lonely" (2.6 ± 2.9) and "feeling anxious" (2.8 ± 2.6), and the highest mean for "feeling connected to others" (6.2 ± 2.5) and "well-being" (5.8 ± 2.4). Conclusions: Participants used a wide variety of self-care methods and prevention strategies to promote their health during the COVID-19 pandemic and showed, overall, a balanced emotional status. Further research should include a control group representative of the general population, to investigate the possible impact of self-care strategies. Clinical Trial Registration Number: "Deutsches Register Klinischer Studien" (German Clinical Trial Register); registration number: DRKS00022909.

Knowledge, attitudes and practices of healthcare professionals toward the novel coronavirus during the early stage of COVID-19 in a lower-and-middle income country, Bangladesh

Healthcare workers (HCWs) are at an increased risk of COVID-19 infection because of their direct exposure to suspected and confirmed coronavirus patients in healthcare facilities. This condition is even more acute in low-and lower-middle-income countries (LMICs). Given the poor healthcare settings of Bangladesh, it is challenging to halt the spread of infection without proper knowledge, attitudes, and good behavioral practices (KAPs). Therefore, this study conducted a cross-sectional study from May 5 to 31, 2020, with 203 healthcare professionals to determine the knowledge, attitudes, and practices (KAP) toward COVID-19. Participants were doctors, nurses, dentists, and allied health professionals. A self-administered questionnaire including several KAP-related items aligned with the World Health Organization (WHO) guidelines was distributed over various online platforms to collect data. Bivariate and multivariable logistic regression analyses were conducted to determine the factors influencing KAP levels. The majority of participants were male (52.22%). The prevalence of high knowledge levels, positive attitudes, and good practices were 51.23, 45.81, and 49.75%, respectively. Social media was the most common source for seeking coronavirus information. Workers at private institutions were less likely (OR = 0.56, 95% CI = 0.30-0.95, p < 0.05) to be knowledgeable than workers at public institutions. Doctors had more positive attitudes than other healthcare professionals. Older participants showed high rates of good behavioral practices (OR = 1.05, 95% CI = 1.06-1.32, p < 0.05) than younger ones. Workers at private institutions had a better practice level toward COVID-19 (OR = 2.11, 95% CI = 1.17-3.83) than those at public institutions. These results point to the necessity for proper training programs for medical professionals that help them gain confidence to deliver the correct treatment to their patients and the need to implement preventative steps during pandemics.

Vulnerabilities of older adults and mitigation measures to address COVID-19 outbreak in Bangladesh: A review

The infection with coronavirus disease (COVID-19) had an extremely negative influence on public health and the global economy. Covid-19 infection is more likely to affect the elderly than younger people, and pre-existing medical conditions, such as cardiovascular disease, diabetes, high blood pressure, and respiratory diseases, might lead to death due to COVID-19 infection. In low-income, developing, and highly dense countries like Bangladesh, the aging population is particularly vulnerable to the pandemic due to inadequate health services, socio-economic circumstances, environmental settings, religious and cultural beliefs, personal cleanliness habits, and a contemplative approach to infectious disease. Besides, recent cyclones and floods have combined effects on older people's increasing vulnerabilities. In this study, we reviewed and examined the vulnerabilities of older adults to the COVID-19 outbreak in Bangladesh. Different mitigation measures are discussed to protect the elderly from the adverse effect of the pandemic. This study proposes several steps to reinforce the commitment to social care and health care services to guarantee well-being, encourage preventive measures, and increase access to older people's health services in Bangladesh. The core findings will provide a valuable guideline for older adults, scientists, and policymakers to take effective long-term measures to mitigate the pandemic's risk.

Health financing policy responses to the COVID-19 pandemic; a review of the first stages in the WHO South East Asia Region

COVID-19 imposed unprecedented financing requirements on countries to rapidly implement effective prevention and control measures while dealing with severe economic contraction. The challenges were particularly acute for the 11 countries in the WHO South East Asia Region (SEAR), home to the lowest average level of public expenditure on health of all WHO Regions. We conducted a narrative review of peer-reviewed, grey literature and publicly available sources to analyse the immediate health financing policies adopted by countries in the WHO SEAR in response to COVID-19 in the first 12 months of the pandemic, i.e. from March 1, 2020, to March 1, 2021. Our review focused on the readiness of health systems to address the financial challenges of COVID-19 in terms of revenue generation, financial protection and strategic purchasing including public financial management issues. Twenty peer-reviewed articles were included, and web searches identified media articles (n=21), policy reports (n=18) and blog entries (n=5) from reputable sources. We found that countries in the SEAR demonstrated great flexibility in responding to the COVID-19 pandemic, including exploring various options for revenue raising, removing financial barriers to care and rapidly adapting purchasing arrangements. At the same time, the pandemic exposed pre-existing health financing policy weaknesses such as underinvestment, inadequate regulatory capacity of the private health sector and passive purchasing which should give countries an impetus for reform towards more resilient health systems. Further monitoring and evaluation is needed to assess the long-term implications of policy responses on issues such as government capacity for debt servicing and fiscal space for health and how they protect progress towards the objectives of universal health coverage.

Loneliness and its correlates among Bangladeshi older adults during the COVID-19 pandemic

The present study aims to investigate the prevalence of loneliness and its associated factors among older adults during the COVID-19 pandemic in Bangladesh. This cross-sectional study was conducted in October 2020 among 1032 older Bangladeshi adults aged 60 years and above through telephone interviews. A semi-structured questionnaire was used to collect information on participants' characteristics and COVID-19-related information. Meanwhile, the level of loneliness was measured using a 3-item UCLA Loneliness scale. More than half (51.5%) of the older adults experienced loneliness. We found that participants formally schooled [adjusted odds ratio (aOR = 0.62, 95% CI 0.43-0.88)] and received COVID-19-related information from health workers (aOR = 0.33, 95% CI 0.22-0.49) had lower odds of being lonely during the pandemic. However, older adults living alone (aOR: 2.57, 95% CI 1.34-4.94), residing distant from a health facility (aOR = 1.46, 95% CI 1.02-2.08) and in rural areas (aOR = 1.53, 95% CI 1.02-2.23) had higher odds of loneliness than their counterparts. Likewise, odds of loneliness were higher among those overwhelmed by COVID-19 (aOR = 1.93, 95% CI 1.29-2.86), who faced difficulty in earning (aOR = 1.77, 95% CI 1.18-2.67) and receiving routine medical care during pandemic (aOR = 2.94, 95% CI 1.78-4.87), and those perceiving requiring additional care during the pandemic (aOR = 6.01, 95% CI 3.80-9.49). The findings suggest that policies and plans should be directed to reduce loneliness among older adults who require additional care.

Modelling how face masks and symptoms-based quarantine synergistically and cost-effectively reduce SARS-CoV-2 transmission in Bangladesh

BACKGROUND

Non-pharmaceutical interventions (NPIs) used to limit SARS-CoV-2 transmission vary in their feasibility, appropriateness and effectiveness in different contexts. In Bangladesh a national lockdown implemented in March 2020 exacerbated poverty and was untenable long-term. A resurgence in 2021 warranted renewed NPIs. We sought to identify NPIs that were feasible in this context and explore potential synergies between interventions.

METHODS

We developed an SEIR model for Dhaka District, parameterised from literature values and calibrated to data from Bangladesh. We discussed scenarios and parameterisations with policymakers with the aid of an interactive app. These discussions guided modelling of lockdown and two post-lockdown measures considered feasible to deliver; symptoms-based household quarantining and compulsory mask-wearing. We compared NPI scenarios on deaths, hospitalisations relative to capacity, working days lost, and cost-effectiveness.

RESULTS

Lockdowns alone were predicted to delay the first epidemic peak but could not prevent overwhelming of the health service and were costly in lost working days. Impacts of post-lockdown interventions depended heavily on compliance. Assuming 80% compliance, symptoms-based household quarantining alone could not prevent hospitalisations exceeding capacity, whilst mask-wearing prevented overwhelming health services and was cost-effective given masks of high filtration efficiency. Combining masks with quarantine increased their impact. Recalibration to surging cases in 2021 suggested potential for a further wave in 2021, dependent on uncertainties in case reporting and immunity.

CONCLUSIONS

Masks and symptoms-based household quarantining synergistically prevent transmission, and are cost-effective in Bangladesh. Our interactive app was valuable in supporting decision-making, with mask-wearing being mandated early, and community teams being deployed to support quarantining across Dhaka. These measures likely contributed to averting the worst public health impacts, but delivering an effective response with consistent compliance across the population has been challenging. In the event of a further resurgence, concurrent messaging to increase compliance with both mask-wearing and quarantine is recommended.

The sex and gender dimensions of COVID-19: A narrative review of the potential underlying factors

Multiple lines of evidence indicate that the male sex is a significant risk factor for severe disease and mortality due to coronavirus disease 2019 (COVID-19). However, the precise explanation for the discrepancy is currently unclear. Immunologically, the female-biased protection against COVID-19 could presumably be due to a more rapid and robust immune response to viruses exhibited by males. The female hormones, e.g., estrogens and progesterone, may have protective roles against viral infections. In contrast, male hormones, e.g., testosterone, can act oppositely. Besides, the expression of the ACE-2 receptor in the lung and airway lining, which the SARS-CoV-2 uses to enter cells, is more pronounced in males. Estrogen potentially plays a role in downregulating the expression of ACE-2, which could be a plausible biological explanation for the reduced severity of COVID-19 in females. Comorbidities, e.g., cardiovascular diseases, diabetes, and kidney disorders, are considered significant risk factors for severe outcomes in COVID-19. Age-adjusted data shows that males are statistically more predisposed to these morbidities-amplifying risks for males with COVID-19. In addition, many sociocultural factors and gender-constructed behavior of men and women impact exposure to infections and outcomes. In many parts of the world, women are more likely to abide by health regulations, e.g., mask-wearing and handwashing, than men. In contrast, men, in general, are more involved with high-risk behaviors, e.g., smoking and alcohol consumption, and high-risk jobs that require admixing with people, which increases their risk of exposure to the infection. Overall, males and females suffer differently from COVID-19 due to a complex interplay between many biological and sociocultural factors.

Beliefs, barriers and hesitancy towards the COVID-19 vaccine among Bangladeshi residents: Findings from a cross-sectional study

Background

COVID‐19 vaccination acceptance is important, and combating hesitancy which is generally based on the individuals’ beliefs and perceptions is essential in the present pandemic. This study assesses COVID‐19 vaccine hesitancy and associated factors, beliefs and barriers associated with COVID-19 vaccination.

Methods

A cross-sectional study was carried out among 492 Bangladeshi residents (76% male; mean age = 24.21 ± 4.91 years; age range = 18–50 years) prior to the nationwide mass COVID-19 vaccination campaign (September 28, 2021). A semi-structured e-questionnaire included three sections (demographic variables, beliefs around the vaccination, and perceived barriers regarding COVID-19 vaccination).

Results

More than a quarter of participants (26.42%) were hesitant, 70.33% reported to accept the vaccine, and 3.25% refused to be vaccinated. While (54%) believed that mass vaccination would be the most effective method to combat the COVID-19 pandemic, concerns regarding the side effects of the vaccine (58%), inadequate vaccine trials before human administration (43%), commercial profiteering (42%), and mistrust of the benefits of the vaccine (20%) were also reported. In addition, other barriers including a short supply of vaccines, unknown future adverse effects (55%), low confidence in the health system (51%), doubts regarding its effectiveness (50%) and safety (45%), and insufficient information regarding potential adverse effects (44.7%) were reported. In bivariate analysis, variables such as current political affiliation, previous vaccination history, and health status were significantly associated with the COVID-19 vaccine uptake variable (acceptance, hesitancy, refusal). Regression analysis showed that participants who identified with the opposing current political parties, and not having been vaccinated since the age of 18 years were significantly more likely to report vaccine hesitancy.

Conclusions

The current findings relating to COVID-19 vaccination demonstrate that government and policy makers need to take all necessary measures to ensure the effectiveness of the vaccination program among the Bangladeshi people.

Psychological effects and associated factors among vaccinated and unvaccinated general population against COVID-19 infection in Bangladesh

Background

The global effort to develop herd immunity in the general public against the COVID-19 pandemic is currently ongoing. However, to the best of our knowledge, there have been no studies on how the COVID-19 vaccine affects mental health in the context of the COVID-19 pandemic in Bangladesh. The present study investigated the psychological effects and associated factors among vaccinated and unvaccinated general populations against COVID-19 infection in Bangladesh.

Methods

A nationwide online cross-sectional survey was conducted in Bangladesh from June 23 to December 25, 2021. The frequency of symptoms of psychological distress, depression, anxiety, stress, post-traumatic stress disorder (PTSD), insomnia, and fear was assessed using the Bangla versions of the GHQ-12, PHQ-2, GAD-2, PSS-4, PC-PTSD-5, ISI, and FCV-19S scales, respectively.

Results

The study included 3,013 persons from all eight divisions of Bangladesh, with 1,272 (42.2%) being vaccinated and 1,741 (57.8%) being unvaccinated. Compared with unvaccinated populations, vaccinated populations had significantly lower prevalence rates of psychological distress (36.4 vs. 51.5%), depression (21.1 vs. 37.9%), anxiety (25.1 vs. 44.9%), stress (19.4 vs. 30.4%), PTSD (29.4 vs. 38.3%), insomnia (18.7 vs. 39.4%), and fear symptoms (16.1 vs. 27.5%). Among vaccinated populations, respondents who lived in nuclear families were significantly associated with higher risk of psychological distress (AOR, 1.38; 95% CI, 1.09-1.78), depression (AOR, 1.49; 95% CI, 1.11-1.98), anxiety (AOR, 1.77; 95% CI, 1.21-1.98), and fear (AOR, 1.43; 95% CI, 1.11-1.83) symptoms. Participants who lost family members, friends, or colleagues due to the COVID-19 pandemic had significantly higher risk of symptoms of psychological distress (AOR, 1.35; 95% CI, 1.02-1.79), anxiety (AOR, 1.41; 95% CI, 1.11-1.87), and PTSD (AOR, 1.76; 95% CI, 1.24-2.19). On the other hand, unvaccinated populations who lived in the Dhaka division were significantly associated with an increased risk of depression (AOR, 2.06; 95% CI, 1.40-2.52), anxiety (AOR, 1.86; 95% CI, 1.15-2.47), stress (AOR, 1.92; 95% CI, 1.12-2.88), and insomnia (AOR, 1.88; 95% CI, 1.20-2.94) symptoms. Except for PTSD and fear symptoms, unemployed participants had considerably higher rates of psychological distress, depression, anxiety, stress, and insomnia symptoms (e.g., psychological distress: AOR, 1.83; 95% CI, 1.10-2.62; depression: AOR, 1.74; 95% CI, 1.37-2.19).

Conclusions

This study recommends immunizing unvaccinated populations as soon as possible to prevent infection and boost mental health. Vulnerable people needed special care, health-related education, and psychological assistance.

Mental Health Condition among University Students of Bangladesh during the Critical COVID-19 Period

Bangladesh's education sector has been in a state of flux since COVID-19. During the pandemic, all university campuses were closed. There was a mental health issue among the students. This study aims to examine the mental health condition and the determinants that contribute to adverse mental health conditions among university students of Bangladesh. A survey was performed online among university students in Bangladesh, in mid-June 2020 when averaging 3345 affected cases of the population daily. The convenience sampling technique was used and the survey gathered data from 365 university students. The relationship between general information and Depression, Anxiety, and Stress Scale 21 (DASS-21) subscales of university students was determined. The questionnaire was administered to respondents during the pandemic, which ensured fast replies. Linear regression models were used for statistical analysis. University students indicated normal levels of depression (30.41%), anxiety (43.29%), and stress (47.40%). However, a disproportionate number of extremely depressed, anxious, and stressed university students suggested a mental health status of concern. There were significant connections between the individual's opinion of social satisfaction, mental health concerns, and the present location's safety with an undesirable mental health condition. Female students were shown to be much more anxious and stressed than male students. Capital Dhaka city students were more depressed and anxious than students outside of Dhaka. Financial and psychological support for students may help mitigate the psychological impact. Authorities should make effective efforts to reduce mental health problems among these students. This research may aid organizations, health care providers, and social workers in their attempts to prepare for and respond to pandemics.