Global COVID-19 vaccine equity and the booster dose in low-resource countries: A decolonizing global health perspective

On July 30, 2021, the administration of a third (booster) dose of the COVID-19 vaccine was introduced to enhance immunity among vaccinated people. Many developed countries have introduced vaccine booster doses as additional protection for their population to mitigate the severity of the ongoing COVID-19 pandemic. However, this idea is currently being replicated by low-and lower-middle-income countries (LMICs), where full vaccination coverage is, as of now, still below 45%, which is considerably lower than that of high-income countries (73%). This commentary focuses on the critiques of introducing booster dose strategy in low-income countries. We highlight different decolonizing global health perspectives, including vaccine equity, effective resource utilization, and priority setup, in this commentary. © 2022 The Author(s).

Anxiety and Stress Related to COVID-19 Among the Community Dwelling Older Adults Residing in the Largest Refugee Camp of the World.

The current cross-sectional study was conducted among 864 older adults aged ≥ 60 years residing in Rohingya refugee camp through face-to-face interviews during November-December 2021. COVID-19-related anxiety was measured using the five-point Coronavirus Anxiety Scale (CAS) and perceived stress using the 10-point Perceived Stress Scale (PSS). The linear regression model identified the factors associated with COVID-19-related anxiety and perceived stress. The prevalence of COVID-19-related anxiety and perceived stress was 68% and 93%, respectively. The average COVID-19-related anxiety score expected to be significantly higher among those who were physically inactive, concerned about COVID-19, had a close friend/family member diagnosed with COVID-19, and had some difficulty in getting food and routine medical care during the COVID-19 pandemic. Meanwhile, the average perceived stress score was expected to be significantly higher among those without partners, who were feeling overwhelmed by COVID-19, and who experienced COVID-19-related anxiety during the pandemic. The findings suggest providing immediate psychosocial support to older Rohingya adults.

Changes in loneliness prevalence and its associated factors among Bangladeshi older adults during the COVID-19 pandemic.

AIMS: Worldwide, loneliness is one of the most common psychological phenomena among older adults, adversely affecting their physical and mental health conditions during the COVID-19 pandemic. This study aims to assess changes in the prevalence of loneliness in the two timeframes (first and second waves of COVID-19 in Bangladesh) and identify its correlates in pooled data. METHODS: This repeated cross-sectional study was conducted on two successive occasions (October 2020 and September 2021), overlapping with the first and second waves of the COVID-19 pandemic in Bangladesh. The survey was conducted remotely through telephone interviews among 2077 (1032 in the 2020-survey and 1045 in the 2021-survey) older Bangladeshi adults aged 60 years and above. Loneliness was measured using the 3-item UCLA Loneliness scale. The binary logistic regression model was used to identify the factors associated with loneliness in pooled data. RESULTS: We found a decline in the loneliness prevalence among the participants in two survey rounds (51.5% in 2021 versus 45.7% in 2020; P = 0.008), corresponding to 33% lower odds in the 2021-survey (AOR 0.67, 95% CI 0.54-0.84). Still, nearly half of the participants were found to be lonely in the latest survey. We also found that, compared to their respective counterparts, the odds of loneliness were significantly higher among the participants without a partner (AOR 1.58, 95% CI 1.20-2.08), with a monthly family income less than 5000 BDT (AOR 2.34, 95% CI 1.58-3.47), who lived alone (AOR 2.17, 95% CI 1.34-3.51), with poor memory or concentration (AOR 1.58, 95% CI 1.23-2.03), and suffering from non-communicable chronic conditions (AOR 1.55, 95% CI 1.23-1.95). Various COVID-19-related characteristics, such as concern about COVID-19 (AOR 1.28, 95% CI 0.94-1.73), overwhelm by COVID-19 (AOR 1.53, 95% CI 1.14-2.06), difficulty earning (AOR 2.00, 95% CI 1.54-2.59), and receiving routine medical care during COVID-19 (AOR 2.08, 95% CI 1.61-2.68), and perception that the participants required additional care during the pandemic (AOR 2.93, 95% CI 2.27-3.79) were also associated with significantly higher odds of loneliness. However, the odds of loneliness were significantly lower among the participants with formal schooling (AOR 0.71, 95% CI 0.57-0.89) and with a family of more than four members (AOR 0.76, 95% CI 0.60-0.96). CONCLUSIONS: The current study found a decreased prevalence of loneliness among Bangladeshi older adults during the ongoing pandemic. However, the prevalence is still very high. The findings suggest the need for mental health interventions that may include improving social interactions increasing opportunities for meaningful social connections with family and community members and providing psychosocial support to the vulnerable population including older adults during the pandemic. It also suggests that policymakers and public health practitioners should emphasise providing mental health services at the peripheral level where the majority of older adults reside.

Stigma toward people with COVID-19 among Bangladeshi older adults

The onset of the coronavirus disease (COVID-19) pandemic and its overwhelming physical and mental health burden can result in stigmatization toward the disease and those affected. This study aimed to measure the prevalence of COVID-19-related stigma and its associated factors among older people in Bangladesh. This cross-sectional study was conducted among 1,045 Bangladeshi older adults aged 60 years and above through telephone interviews in September 2021. The outcome was measured using an eight-point Stigma Scale, adapted to the Bengali language. Level of stigma was indicated by the cumulative score of the eight-items, ranging from 0 to 8, with a higher score indicating a higher level of stigma. On average, participants had stigmas on three of the eight items, and 62.6% had a high stigma score. The most prevalent stigmas were as follows: COVID-19 is a punishment from God (79.3%), patients with previous COVID-19 must be isolated (67.3%), and people infected with COVID-19 did not meet hygiene standards (63.9%). Participants who lived in rural areas (β: 0.67, 95% CI: 0.39 to 0.95) and who perceived needing additional care during the pandemic (β: 0.35, 95% CI: 0.09 to 0.60) had a higher average stigma score, whereas stigma scores were lower among unemployed/retired participants (β: −0.22, 95% CI: −0.45 to 0.00). The study findings suggest implementing interventions to raise awareness through appropriate health literacy interventions and mass media campaigns.

A tale of osteoarthritis among older adults during the COVID-19 pandemic in Bangladesh: A repeated cross-sectional study.

BACKGROUND: Due to restrictions in social gatherings imposed due to the COVID-19 pandemic, physical and other daily activities were limited among the older adults. The present study aimed to estimate the change in osteoarthritis prevalence among older adults during the COVID-19 pandemic in Bangladesh. METHODS: This repeated cross-sectional study was conducted through telephone interviews among older adults aged 60 years and above on two successive occasions (October 2020 and September 2021) during the COVID-19 pandemic in Bangladesh. The prevalence of osteoarthritis was measured by asking the participants if they had osteoarthritis or joint pain problems. RESULTS: A total of 2077 participants (1032 in 2020-survey and 1045 in 2021-survey) participated in the study. The prevalence of self-reported joint pains or osteoarthritis significantly increased from 45.3% in 2020 to 54.7% in 2021 (P = 0.006), with an increasing odd in the adjusted analysis (aOR 1.27, 95% CI 1.04-1.54). We also found that osteoarthritis prevalence significantly increased among the participants from the Chattogram and Mymensingh divisions, aged 60-69 years, males, married, rural residents, and living with a family. A significant increase was also documented among those who received formal schooling, had a family income of 5000-10000 BDT, resided with a large family, were unemployed or retired, and lived away from a health facility. CONCLUSIONS: Our study reported a significant increased prevalence of osteoarthritis among older adults from 2020 to 2021 during this pandemic in Bangladesh. This study highlights the need for the development and implementation of initiatives for the screening and management of osteoarthritis through a primary health care approach during any public health emergencies.

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.

An IoT Machine Learning-Based Mobile Sensors Unit for Visually Impaired People.

Visually impaired people face many challenges that limit their ability to perform daily tasks and interact with the surrounding world. Navigating around places is one of the biggest challenges that face visually impaired people, especially those with complete loss of vision. As the Internet of Things (IoT) concept starts to play a major role in smart cities applications, visually impaired people can be one of the benefitted clients. In this paper, we propose a smart IoT-based mobile sensors unit that can be attached to an off-the-shelf cane, hereafter a smart cane, to facilitate independent movement for visually impaired people. The proposed mobile sensors unit consists of a six-axis accelerometer/gyro, ultrasonic sensors, GPS sensor, cameras, a digital motion processor and a single credit-card-sized single-board microcomputer. The unit is used to collect information about the cane user and the surrounding obstacles while on the move. An embedded machine learning algorithm is developed and stored in the microcomputer memory to identify the detected obstacles and alarm the user about their nature. In addition, in case of emergencies such as a cane fall, the unit alerts the cane user and their guardian. Moreover, a mobile application is developed to be used by the guardian to track the cane user via Google Maps using a mobile handset to ensure safety. To validate the system, a prototype was developed and tested.

Perceived fear of COVID-19 and its associated factors among Nepalese older adults in eastern Nepal: A cross-sectional study

Background: Coronavirus disease 2019 (COVID-19) has affected all age groups worldwide, but older adults have been affected greatly with an increased risk of severe illness and mortality. Nepal is struggling with the COVID-19 pandemic. The normal life of older adults, one of the vulnerable populations to COVID-19 infection, has been primarily impacted. The current evidence shows that the COVID-19 virus strains are deadly, and non-compliance to standard protocols can have serious consequences, increasing fear among older adults. This study assessed the perceived fear of COVID-19 and associated factors among older adults in eastern Nepal. Methods: A cross-sectional study was conducted between July and September 2020 among 847 older adults (>= 60 years) residing in three districts of eastern Nepal. Perceived fear of COVID-19 was measured using the seven-item Fear of COVID-19 Scale (FCV-19S). Multivariate logistic regression identified the factors associated with COVID-19 fear. Results: The mean score of the FCV-19S was 18.1 (SD = 5.2), and a sizeable proportion of older adults, ranging between 12%-34%, agreed with the seven items of the fear scale. Increasing age, Dalit ethnicity, remoteness to the health facility, and being concerned or overwhelmed with the COVID-19 were associated with greater fear of COVID-19. In contrast, preexisting health conditions were inversely associated with fear. Conclusion: Greater fear of the COVID-19 among the older adults in eastern Nepal suggests that during unprecedented times such as the current pandemic, the psychological needs of older adults should be prioritized. Establishing and integrating community-level mental health support as a part of the COVID-19 preparedness and response plan might help to combat COVID-19 fear among them. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Impacts of COVID-19 on Electric Vehicle Charging Behavior: Data Analytics, Visualization, and Clustering

COVID-19 pandemic has infected millions and led to a catastrophic loss of lives globally. It has also significantly disrupted the movement of people, businesses, and industries. Additionally, electric vehicle (EV) users have faced challenges in charging their vehicles in public charging locations where there is a risk of COVID-19 exposure. However, a case study of EV charging behavior and its impacts during the SARS-CoV-2 is not addressed in the existing literature. This paper investigates the impacts of COVID-19 on EV charging behavior by analyzing the charging activity during the pandemic using a dataset from a public charging facility in the USA. Data visualization of charging behavior alongside significant timelines of the pandemic was utilized for analysis. Moreover, a cluster analysis using k-means, hierarchical clustering, and Gaussian mixture models was performed to identify common groups of charging behavior based on the vehicle arrival and departure times. Although the number of vehicles using the charging station was reduced significantly due to lockdown restrictions, the charging activity started to pick up again since May 2021 due to an increase in vaccination and easing of public restrictions. However, the charging activity currently still remains around half of the activity pre-pandemic. A noticeable decline in charging session length and an increase in energy consumption can be observed as well. Clustering algorithms identified three groups of charging behavior during the pandemic and their analysis and performance comparison using internal validation measures were also presented.

An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease

Since the outbreak of Coronavirus Disease 2019 (COVID-19), most of the impacted patients have been diagnosed with high fever, dry cough, and soar throat leading to severe pneumonia. Hence, to date, the diagnosis of COVID-19 from lung imaging is proved to be a major evidence for early diagnosis of the disease. Although nucleic acid detection using real-time reverse-transcriptase polymerase chain reaction (rRT-PCR) remains a gold standard for the detection of COVID-19, the proposed approach focuses on the automated diagnosis and prognosis of the disease from a non-contrast chest computed tomography (CT) scan for timely diagnosis and triage of the patient. The prognosis covers the quantification and assessment of the disease to help hospitals with the management and planning of crucial resources, such as medical staff, ventilators and intensive care units (ICUs) capacity. The approach utilises deep learning techniques for automated quantification of severity of COVID-19 disease via measuring the area of multiple rounded ground-glass opacities (GGO) and consolidations in the periphery (CP) of the lungs and accumulating them to form a severity score. The severity of the disease can be correlated with the medicines prescribed during the triage to assess the effectiveness of the treatment. The proposed approach shows promising results where the classification model achieved 93% accuracy on hold-out data.

Do Old Age and Comorbidity via Non-Communicable Diseases Matter for COVID-19 Mortality? A Path Analysis.

This paper used Our World data for coronavirus disease-2019 (COVID-19) death count, test data, stringency, and transmission count and prepared a path model for COVID-19 deaths. We augmented the model with age structure-related variables and comorbidity via non-communicable diseases for 117 countries of the world for September 23, 2021, on a cross-section basis. A broad-based global quantitative study incorporating these two prominent channels with regional variation was unavailable in the existing literature. Old age and comorbidity were identified as two prime determinants of COVID-19 mortality. The path model showed that after controlling for these factors, one SD increase in the proportion of persons above 65, above 70, or of median age raised COVID-19 mortality by more than 0.12 SDs for 117 countries. The regional intensity of death is alarmingly high in South America, Europe, and North America compared with Oceania. After controlling for regions, the figure was raised to 0.213, which was even higher. For old age, the incremental coefficient was the highest for South America (0.564), and Europe (0.314), which were substantially higher than in Oceania. The comorbidity channel via non-communicable diseases illustrated that one SD increase in non-communicable disease intensity increased COVID-19 mortality by 0.132 for the whole sample. The regional figure for the non-communicable disease was 0.594 for South America and 0.358 for Europe compared with the benchmark region Oceania. The results were statistically significant at a 10% level of significance or above. This suggested that we should prioritize vaccinations for the elderly and people with comorbidity via non-communicable diseases like heart disease, cancer, chronic respiratory disease, and diabetes. Further attention should be given to South America and Europe, which are the worst affected regions of the world.

Older adults with non-communicable chronic conditions and their health care access amid COVID-19 pandemic in Bangladesh: Findings from a cross-sectional study.

BACKGROUND: Burgeoning burden of non-communicable disease among older adults is one of the emerging public health problems. In the COVID-19 pandemic, health services in low- and middle-income countries, including Bangladesh, have been disrupted. This may have posed challenges for older adults with non-communicable chronic conditions in accessing essential health care services in the current pandemic. The present study aimed at exploring the challenges experienced by older Bangladeshi adults with non-communicable chronic conditions in receiving regular health care services during the COVID-19 pandemic. MATERIALS AND METHODS: The study followed a cross-sectional design and was conducted among 1032 Bangladeshi older adults aged 60 years and above during October 2020 through telephone interviews. Self-reported information on nine non-communicable chronic conditions (osteoarthritis, hypertension, heart disease, stroke, hypercholesterolemia, diabetes, chronic respiratory diseases, chronic kidney disease, cancer) was collected. Participants were asked if they faced any difficulties in accessing medicine and receiving routine medical care for their medical conditions during the COVID-19 pandemic. The association between non-communicable chronic conditions and accessing medication and health care was analysed using binary logic regression model. RESULTS: Most of the participants aged 60-69 years (77.8%), male (65.5%), married (81.4%), had no formal schooling (58.3%) and resided in rural areas (73.9%). Although more than half of the participants (58.9%) reported having a single condition, nearly one-quarter (22.9%) had multimorbidity. About a quarter of the participants reported difficulties accessing medicine (23%) and receiving routine medical care (27%) during the pandemic, and this was significantly higher among those suffering from multimorbidity. In the adjusted analyses, participants with at least one condition (AOR: 1.95, 95% CI: 1.33-2.85) and with multimorbidity (AOR: 4.75, 95% CI: 3.17-7.10) had a higher likelihood of experiencing difficulties accessing medicine. Similarly, participants with at least one condition (AOR: 3.08, 95% CI: 2.11-4.89) and with multimorbidity (AOR: 6.34, 95% CI: 4.03-9.05) were significantly more likely to face difficulties receiving routine medical care during the COVID-19 pandemic. CONCLUSIONS: Our study found that a sizeable proportion of the older adults had difficulties in accessing medicine and receiving routine medical care during the pandemic. The study findings highlight the need to develop an appropriate health care delivery pathway and strategies to maintain essential health services during any emergencies and beyond. We also argue the need to prioritise the health of older adults with non-communicable chronic conditions in the centre of any emergency response plan and policies of Bangladesh.

Are older adults of Rohingya community (Forcibly Displaced Myanmar Nationals or FDMNs) in Bangladesh fearful of COVID-19? Findings from a cross-sectional study.

AIM: This study aimed to assess the fear of COVID-19 and its associates among older Rohingya (Forcibly Displaced Myanmar Nationals or FDMNs) in Bangladesh. METHOD: We conducted a cross-sectional survey among 416 older FDMNs aged 60 years and above living in camps of Cox's Bazar, Bangladesh. A semi-structured questionnaire was used to collect information on participants' socio-demographic and lifestyle characteristics, pre-existing non-communicable chronic conditions, and COVID-19 related information. Level of fear was measured using the seven-item Fear of COVID-19 Scale (FCV-19S) with the cumulative score ranged from 7 to 35. A multiple linear regression examined the factors associated with fear. RESULTS: Among 416 participants aged 60 years or above, the mean fear score was 14.8 (range 8-28) and 88.9% of the participants had low fear score. Participants who were concerned about COVID-19 (ß: 0.63, 95% CI: -0.26 to 1.53) and overwhelmed by COVID-19 (ß: 3.54, 95% CI: 2.54 to 4.55) were significantly more likely to be fearful of COVID-19. Other factors significantly associated with higher level of fear were lesser frequency of communication during COVID-19, difficulty in obtaining food during COVID-19, perception that older adults are at highest risk of COVID-19 and receiving COVID-19 related information from Radio/television and friends/family/neighbours. CONCLUSIONS: Our study highlighted that currently there little fear of COVID-19 among the older Rohingya FDMNs. This is probably due to lack of awareness of the severity of the disease in. Dissemination of public health information relevant to COVID-19 and provision of mental health services should be intensified particularly focusing on the individual who were concerned, overwhelmed or fearful of COVID-19. However, further qualitative research is advised to find out the reasons behind this.

Prevalence and correlates of depressive symptoms among Rohingya (forcibly displaced Myanmar nationals or FDMNs) older adults in Bangladesh amid the COVID-19 pandemic.

BACKGROUND: Depression is globally a crucial communal psychiatric disorder, which is more common in older adults. The situation is considerably worse among millions of older (forcibly displaced Myanmar nationals or FDMNs) Rohingya adults, and the coronavirus disease-2019 (COVID-19) pandemic may exacerbate the already existing precarious situation. The present study investigated depressive symptoms and their associated factors in older adult Rohingya FDMNs in Cox Bazar, Bangladesh, during the COVID-19 pandemic. METHOD: A total of 416 older adults aged 60 years and above residing in Rohingya camps situated in the South Eastern part of Bangladesh were interviewed using a 15-item Geriatric Depression Scale (GDS-15) in Bengali language. Chi-square test was performed to compare the prevalence of depressive symptoms within different categories of a variable and a binary logistic regression model was performed to determine the factors associated with depressive symptoms. RESULTS: More than 41% of Rohingya older adults had depressive symptoms (DS). Socio-demographic and economic factors such as living alone, dependency on family for living, poor memory, feelings of being left out, difficulty in getting medicine and routine medical care during COVID-19, perception that older adults are at highest risk of COVID-19 and pre-existing non-communicable chronic conditions were found to be significantly associated with developing DS. Higher DS was also evident among older female Rohingya FDMNs. CONCLUSION: DS are highly prevalent in older Rohingya FDMNs during COVID-19. The findings of the present study call for immediate arrangement of mental health care services and highlight policy implications to ensure the well-being of older FDMNs.

Baseline and follow-up serum ferritin level as a prognostic factor in coronavirus disease 2019-infected patients: A single-center experience

Objective In the past few months, WHO declared coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 as a major pandemic, with increasing number of discovered cases and mortalities in all countries. Up till now, there are a lot of controversial data on its pathogenesis, possible complications, prognostic factors, and available preventive and/or therapeutic options. A series of fast growing research studies are being conducted aiming at studying prognostic criteria that may predict the disease severity and possible outcomes and hence plan of management either home or hospital management. Patients and methods Our cohort study included 73 COVID-19-confirmed positive cases by nasopharyngeal swab/reverse transcriptase PCR to evaluate correlation between serum ferritin levels (baseline and follow-up samples at day 7), as well as C-reactive protein levels and severity of clinical presentation of COVID-19-infected patients. Results Our results have demonstrated a statistically significant difference between mild (n=40) and moderate cases (n=33) regarding baseline ferritin level (P=0.00);however;no significant difference was detected among ferritin changes during the course of the disease (P=0.744), and also, no statistically significant difference in ferritin changes was found among mild and moderate severity groups (P=0.942). Finally, the only significant predictors of clinical severity were baseline ferritin and C-reactive protein levels according to multivariate analysis model (P=0.014 and =0.000, respectively). Conclusions The current study added further evidence to suggest baseline serum ferritin as an index of severity in COVID-19 and could have a prognostic effect;however, we cannot rely on follow-up serum ferritin during treatment and the course of the disease to predict outcome of the disease, and it may be misleading.

Misconceptions about COVID-19 among older Rohingya (forcefully displaced Myanmar nationals) adults in Bangladesh: findings from a cross-sectional study.

OBJECTIVES: Due to low health literacy and adverse situation in the camps, there are possibilities of misconceptions related to COVID-19 among the older Rohingya (forcefully displaced Myanmar nationals or FDMNs) adults in Bangladesh. The present research aimed to assess the level of misconceptions and the factors associated with it among the older FDMNs in Bangladesh. DESIGN: Cross-sectional. SETTING: A selected Rohingya camp situated in Cox's Bazar, a southeastern district of Bangladesh. PARTICIPANTS: Information was collected from 416 conveniently selected FDMNs who were aged 60 years and above. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was misconceptions related to the spread, prevention and treatment of COVID-19. Information on 14 different locally relevant misconceptions was gathered, each was scored as one, and obtained a cumulative score, ranging from 0 to 14, with a higher score indicating a higher level of misconceptions. A multiple linear regression model explored the factors associated with misconceptions. RESULTS: The participants had an average of five misconceptions. The most prevalent misconceptions were: everyone should wear personal protective equipment when outside (84.6%) and its prevention by nutritious food (62.5%) and drinking water (59.3%). Other notable misconceptions included the spread of COVID-19 through mosquito bites (42%) and its transmissions only to the non/less religious person (31.4%). In regression analyses, memory or concentration problems, communication frequency with social networks, pre-existing conditions and receiving information from health workers were significantly associated with higher COVID-19 misconceptions. These misconceptions were less likely among those overwhelmed by COVID-19, having COVID-19 diagnosed friends or family members and receiving information from friends and family. CONCLUSIONS: Overall, we found that misconceptions were prevalent among the older FDMNs in Bangladesh. The associations have important implications for programmes to prevent and manage COVID-19 in these settings. Health workers need to be adequately trained to provide clear communication and counter misconceptions.

Exploring fear of COVID-19 and its correlates among older adults in Bangladesh.

OBJECTIVE: This study was aimed to assess the perceived fear of COVID-19 and its associated factors among older adults in Bangladesh. METHODS: This cross-sectional study was conducted in October 2020 among 1032 older Bangladeshi adults aged ≥60 years. A semi-structured questionnaire was used to collect information on participants' characteristics and COVID-19 related information. Perceived fear of COVID-19 was measured using the seven-item Fear of COVID-19 Scale (FCV-19S), where the cumulative score ranged from 7 to 35. Multiple linear regression was performed to identify factors associated with perceived fear of COVID-19. RESULTS: The mean fear score was 19.4. Participants who were concerned about COVID-19 (ß: 2.75, 95% CI: 1.71 to 3.78) and overwhelmed by COVID-19 (ß: 3.31, 95% CI: 2.33 to 4.29) were significantly more likely to be fearful of COVID-19. Moreover, older adults who felt themselves isolated from others and whose close friends and family members were diagnosed with COVID-19 were more fearful. However, the participants who received COVID-19 related information from the health workers had a lower level of fear (ß: -1.90, 95% CI: - 3.06 to - 0.73). CONCLUSIONS: The presence of overwhelming fear of COVID-19 among the older adults of Bangladesh underlines the psychological needs of these vulnerable groups. Health workers have a key role in addressing these needs and further research is needed to identify the effective strategies for them to use.