SEASONALITY OF METEOROLOGICAL FACTORS INFLUENCING THE COVID-19 ERA IN COASTAL AND INLAND REGIONS OF BANGLADESH

We aim to explore the seasonal influences of meteorological factors on COVID-19 era over two distinct locations in Bangladesh using a generalized linear model (GLM) and wavelet analysis. GLM model findings show that summer humidity drives COVID-19 transmission to coastal and inland locations. During the summer in the coastal area, a 1 °C earth's skin temperature increase causes a 41.9% increase in COVID (95% CL 86.32%-2.54%) transmission compared to inland. Relative humidity was recorded as the highest at 73.97% (95% CL, 99.3%, and 48.63%) for the coastal region, while wind speed and precipitation reduced confirmed cases by -38.62% and -22.15%, respectively. Wavelet analysis showed that coastal meteorological parameters were more coherent with COVID-19 than inland ones. The outcomes of this study are consistent with subtropical climate regions. Seasonality and climatic similarity should address to estimate COVID-19 trends. High societal concern and strong public health measures may decrease meteorological effect on COVID-19. [ FROM AUTHOR] Copyright of Geocarto International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Response, readiness and challenges of online teaching amid COVID-19 pandemic: the case of higher education in Bangladesh

Objective: Online education is a relatively new phenomenon in Bangladesh. Gathering data online during the early days of the COVID-19 pandemic, this study examines the response, readiness and challenges of online education in the Bangladeshi context. Method: Data were collected by applying qualitative approaches such as focus group discussions and in-depth interviews with purposively selected students and teachers involved in online education at two public and three private universities. Results: The findings reveal an immediate response from some universities and late or no action from others in continuing education during the pandemic. Since teachers, students or the university administration were unprepared for such a situation, there was a shortage of or creation of initiatives, although a certain degree of success was noticed. Major challenges include the lack of appropriate technology, knowledge of technology use, teachers' inadequate skills in operating the system and motivating students, poor Internet facilities and high Internet costs, and absence of a calm environment at students' homes. Conclusion: Steps such as workshops for teacher development, improvement of technology and facilities, subsidies in Internet use, revisits to higher education and emergency education laws, and assistance from other professionals and institutions are proposed for consideration. KEY POINTS What is already known about this topic: A number of higher educational institutions (HEIs) worldwide have introduced online education, and have been continuing teaching–learning activities online from the onset of the COVID-19 pandemic. HEI teachers in developed countries have prior training and experience in conducting online education;however, several pedagogical, technical and management-related challenges have been identified. HEIs in Bangladesh do not have a specific policy regarding continuing education in an emergency. This is the first time that online education has been launched. What this study adds: This study explores how HEIs, particularly teachers, respond to continuing teaching–learning activities. It illustrates teachers' pedagogical, technical and management-related readiness necessary for online education. This study also identifies several challenges in continuing online teaching–learning activities in Bangladesh HEIs. © 2021 Australian Psychological Society.

In Search of an Efficient and Reliable Deep Learning Model for Identification of COVID-19 Infection from Chest X-ray Images.

The virus responsible for COVID-19 is mutating day by day with more infectious characteristics. With the limited healthcare resources and overburdened medical practitioners, it is almost impossible to contain this virus. The automatic identification of this viral infection from chest X-ray (CXR) images is now more demanding as it is a cheaper and less time-consuming diagnosis option. To that cause, we have applied deep learning (DL) approaches for four-class classification of CXR images comprising COVID-19, normal, lung opacity, and viral pneumonia. At first, we extracted features of CXR images by applying a local binary pattern (LBP) and pre-trained convolutional neural network (CNN). Afterwards, we utilized a pattern recognition network (PRN), support vector machine (SVM), decision tree (DT), random forest (RF), and k-nearest neighbors (KNN) classifiers on the extracted features to classify aforementioned four-class CXR images. The performances of the proposed methods have been analyzed rigorously in terms of classification performance and classification speed. Among different methods applied to the four-class test images, the best method achieved classification performances with 97.41% accuracy, 94.94% precision, 94.81% recall, 98.27% specificity, and 94.86% F1 score. The results indicate that the proposed method can offer an efficient and reliable framework for COVID-19 detection from CXR images, which could be immensely conducive to the effective diagnosis of COVID-19-infected patients.

Efficacy of colchicine in patients with moderate COVID-19: A double-blinded, randomized, placebo-controlled trial.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may cause severe life-threatening diseases called acute respiratory distress syndrome (ARDS) owing to cytokine storms. The mortality rate of COVID-19-related ARDS is as high as 40% to 50%. However, effective treatment for the extensive release of acute inflammatory mediators induced by hyperactive and inappropriate immune responses is very limited. Many anti-inflammatory drugs with variable efficacies have been investigated. Colchicine inhibits interleukin 1 beta (IL-1ß) and its subsequent inflammatory cascade by primarily blocking pyrin and nucleotide-binding domain leucine-rich repeat and pyrin domain containing receptor 3 (NLRP3) activation. Therefore, this cheap, widely available, oral drug might provide an added benefit in combating the cytokine storm in COVID-19. Here, we sought to determine whether adding colchicine to other standards of care could be beneficial for moderate COVID-19 pneumonia in terms of the requirement for advanced respiratory support and mortality. METHODS AND FINDINGS: This blinded placebo-controlled drug trial was conducted at the Dhaka Medical College Hospital, Dhaka, Bangladesh. A total of 300 patients with moderate COVID-19 based on a positive RT-PCR result were enrolled based on strict selection criteria from June 2020 to November 2020. Patients were randomly assigned to either treatment group in a 1:1 ratio. Patients were administered 1.2 mg of colchicine on day 1 followed by daily treatment with 0.6 mg of colchicine for 13 days or placebo along with the standard of care. The primary outcome was the time to clinical deterioration from randomization to two or more points on a seven-category ordinal scale within the 14 days post-randomization. Clinical outcomes were also recorded on day 28. The primary endpoint was met by 9 (6.2%) patients in the placebo group and 4 (2.7%) patients in the colchicine group (P = 0.171), which corresponds to a hazard ratio (95% CI) of 0.44 (0.13-1.43). Additional analysis of the outcomes on day 28 revealed significantly lower clinical deterioration (defined as a decrease by two or more points) in the colchicine group, with a hazard ratio [95%CI] of 0.29 [0.098-0.917], (P = 0.035). Despite a 56% reduction in the need for mechanical ventilation and death with colchicine treatment on day 14, the reduction was not statistically significant. On day 28, colchicine significantly reduced clinical deterioration measured as the need for mechanical ventilation and all-cause mortality. CONCLUSION: Colchicine was not found to have a significant beneficial effect on reducing mortality and the need for mechanical ventilation. However, a delayed beneficial effect was observed. Therefore, further studies should be conducted to evaluate the late benefits of colchicine. CLINICAL TRIAL REGISTRATION: Clinical trial registration no: ClinicalTrials.gov Identifier: NCT04527562 https://www.google.com/search?client=firefox-b-d&q=NCT04527562.

A Local Alternative to Global Wholesale Online Schooling during COVID-19: A Phenomenological Single-Case Study of a Standalone School in Bangladesh

Given the shutdown of the schools worldwide thanks to COVID-19 pandemic hit early in 2020, there had been, for a while, a mounting global concern over continuing education and averting children’s learning loss. Paying heed to that concern, many nations across the world transitioned to online education as a wholesale alternative approach to emergency schooling. However, online schooling was no single panacea specially for those developing countries which are hardly able to meet the success conditions of online teaching and learning. This phenomenological case study describes a novel pandemic-time rural schooling activity as an alternative to the wholesale online education commonly adopted globally during the pandemic. We have theoretically based the study on the Activity Theories postulated by Vygotsky and Cole and extended by Engeström. We collected qualitative data by semistructured interviews and by gathering school documents. Following Williams and Moser’s coding method and Miles et al.’s two-cycle coding process, we analyzed the collected data. The novel schooling activity that this study found is “clustered (sub-)schools” made up of the split-ups of the regular school. The findings in detail are discussed and recommendations are made.

Towards an improved understanding of the antecedents of digital health service loyalty during a pandemic: An fsQCA approach

Loyalty towards digital health services has received unprecedented attention and acceptance during the Covid-19 pandemic period. However, whether this popularity will be retained into the future and the factors that can influence such loyalty is undetermined. This paper provides insight into this issue through a cross-cultural examination of the influence of digital service quality (e-quality) on consumer satisfaction and loyalty (e-loyalty) in the digital health service sector during a pandemic. A fuzzy-set qualitative comparative analysis (fsQCA) is applied using a sample of 50 customers drawn from different professions across different countries who actively showed loyalty towards digital health during the pandemic. Research constructs evaluation for reliability and internal consistency was subsequently performed using Cronbach's alpha and Correlation analysis. The results reveal a significant positive relationship between service quality and the twin outcomes of consumer satisfaction and loyalty, while the findings established satisfaction as a prominent mediator for digital health. Findings from the fsQCA analysis identified four core factors that underpin loyalty in digital health platforms. Alternative paths have been identified based on gender, current education status, and other professions. In addition, two topologies are introduced taking digital health services from different platforms during the pandemic. Because of the primary nature of the data, this is first-hand experience gathered from the people who are directly or indirectly involved in receiving help from digital health services in a pandemic context. The application of the fsQCA technique for examining loyalty towards digital health services is applied in the e-health or digital health literature for the first time. The study findings will assist digital health service providers seeking insight into the factors that influence loyalty of e-health service consumers, enabling them to focus more accurately on the service quality dimensions that are effective in influencing consumer satisfaction and retention. The findings of this study contain a number of contributions, illustrating different topologies towards digital health that provide educators and policymakers with valuable insights.

COVID-19: Vaccine Hesitancy in Africa and the way Forward

COVID-19 pandemic took the world by storm in late 2019, scientists and health authorities across the globe struggle to contain the deadly virus. Socio-economic activities across the globe were partly halted as countries around the world introduce various forms of restrictions to contain the spread of the COVID-19 virus. Most developing countries' economies, especially in Africa, slid into recession, unemployment among Africa countries skyrocketed to an all-time high, and famine and starvation were beginning to knock harder on poorer nations around the world. The race to develop a vaccine was pressing harder;developed countries continue to pump more money to help develop a vaccine within the shortest period of time, as that seems the only viable solution to the economic downturn of the global world. Finally, vaccines were developed and proved to have high efficacy. This has helped reverse the negative trend of the global economy caused by the COVID-19 pandemic. This vaccine faced a lot of global scrutinies;people have refused to get vaccinated and have also rejected the idea of making COVID-19 vaccination compulsory for citizens worldwide. This study analyzes the challenges posed by this ugly trend of COVID-19 vaccine hesitancy in African countries, its socio-economic consequences and the way forward. [ FROM AUTHOR] Copyright of Problemy Ekorozwoju is the property of Faculty of Environmental Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Safety and efficacy of favipiravir for the management of COVID-19 patients: A preliminary randomized control trial.

Background: The novel coronavirus disease, commonly called COVID-19, has already killed millions of lives. Our study aimed to identify a safe and right drug for the management of such globally threatened COVID-19. Methods: This preliminary double-blinded randomized controlled trial was done among 57 hospitalized COVID-19 patients in the early stage of their illness. Of them, 29 patients received Favipiravir (FVP) and the remaining 28 patients received a placebo under the standard of care. Among the patients, 4 from Favipiravir (FVP) group and 3 from the placebo group were discontinued. The patients were observed regularly for a period of 10 days. Result: In our study, the FVP treated group showed accelerated viral clearance compared to the placebo-treated group. Assessment of chest X-ray showed remarkable improvement of pheumonia patient in group A compared to Group B. Hematological and Biochemical parameters such as total WBC count, neutrophil and lymphocyte counts were examined. No significant differences in the hematological parameters such as WBC count, neutrophil and lymphocyte counts in Group A and Group B patients. Liver transaminases levels were also stable in FVP treated group (average ALT ranges 39.4-46.2; AST 28.2-32.8). Conclusion: The drug Favipiravir displayed remarkable improvements in the clinical conditions and recovery of COVID-19 patients at the early stages of their infections.

Safety and Efficacy of Favipiravir for the management of COVID-19 Patients: A Randomized Control Trial

Background The novel coronavirus disease, commonly called COVID-19, has already killed millions of lives. Our study aimed to identify a safe and right drug for the management of such globally threatened COVID-19. Methods This preliminary double-blinded randomized controlled trial was done among 57 hospitalized COVID-19 patients in the early stage of their illness. Of them, 29 patients received Favipiravir (FVP) and the remaining 28 patients received a placebo under the standard of care. Among the patients, 4 from Favipiravir (FVP) group and 3 from the placebo group were discontinued. The patients were observed regularly for a period of 10 days. Result In our study, the FVP treated group showed accelerated viral clearance compared to the placebo-treated group. Assessment of chest X-ray showed remarkable improvement of pheumonia patient in group A compared to Group B. Hematological and Biochemical parameters such as total WBC count, neutrophil and lymphocyte counts were examined. No significant differences in the hematological parameters such as WBC count, neutrophil and lymphocyte counts in Group A and Group B patients. Liver transaminases levels were also stable in FVP treated group (average ALT ranges 39.4-46.2;AST 28.2-32.8). Conclusion The drug Favipiravir displayed remarkable improvements in the clinical conditions and recovery of COVID-19 patients at the early stages of their infections.

Antecedents of Perceived Service Quality of Online Education During a Pandemic: Configuration Analysis Based on Fuzzy-Set Qualitative Comparative Analysis.

BACKGROUND: During COVID-19 lockdown worldwide, classroom education continues remotely through online. The question remains, comparing with the face-to-face education, does online education has a similar satisfaction level among the students? There are only a few studies that examine the perceived service quality of online education. OBJECTIVE: The study aims to analyze the factors of perceived service quality of online education during a pandemic. RESEARCH DESIGN: A structured questionnaire elicits information from 147 students from different study backgrounds of various universities worldwide. The fuzzy-set qualitative comparative analysis (fsQCA) is used for data analysis and model design. Research constructs evaluation for reliability and internal consistency are subsequently performed. A snowball random sampling method is applied for data collection. RESULTS: Findings from the fsQCA analysis identify four core factors that underpin student satisfaction through positive perceived service quality of online education. Alternative paths are determined based on gender, students' current education status, and their loyalty toward online education. We also introduce two topologies of perceived quality regarding online education and student satisfaction. ORIGINALITY: Because of the primary nature of the data, this is firsthand experience gathered from different universities around the world who have willingly or unwillingly experienced online learning during the pandemic. The fsQCA technique for examining perceived service quality of online education. CONCLUSIONS: The findings contain a number of contributions, illustrating different topologies of the student from different backgrounds and their intention, satisfaction and loyalty towards e-learning, and identifying causal factors that influence willingness to recommend online education.

Review of flipped learning in engineering education: Scientific mapping and research horizon.

The COVID-19 pandemic makes flipped learning more relevant to address the challenges of remote learning. Therefore, renewed attention is warranted in critically appraising the implications on which flipped learning is built. Though several studies have reviewed the flipped learning research in the past, the majority has qualitatively synthesized the flipped learning literature, thus, lacking the overall perspective provided quantitatively for appraising the existing state of affairs of flipped learning research in engineering education. This study addresses this gap by objectively mapping the conceptual, intellectual, and social structure of research development in flipped learning using a bibliometric review method. Findings reveal that flipped learning in engineering education is a relatively new field of research and in recent time it has entered into the stage of exponential growth. Findings also show the effectiveness of the flipped learning model to address the challenges of complex pedagogical applications in different fields of engineering education. This study provides a quantitative synopsis of the flipped learning literature which can be used as an anchor for future study.

Computational modelling of potentially emerging SARS-CoV-2 spike protein RBDs mutations with higher binding affinity towards ACE2: A structural modelling study.

The spike protein of SARS-CoV-2 and the host ACE2 receptor plays a vital role in the entry to the cell. Among which the hotspot residue 501 is continuously subjected to positive selection pressure and induces unusual virulence. Keeping in view the importance of the hot spot residue 501, we predicted the potentially emerging structural variants of 501 residue. We analyzed the binding pattern of wild type and mutants (Spike RBD) to the ACE2 receptor by deciphering variations in the amino acids' interaction networks by graph kernels along with evolutionary, network metrics, and energetic information. Our analysis revealed that N501I, N501T, and N501V increase the binding affinity and alter the intra and inter-residue bonding networks. The N501T has shown strong positive selection and fitness in other animals. Docking results and repeated simulations (three times) confirmed the structural stability and tighter binding of these three variants, correlated with the previous results following the global stability trend. Consequently, we reported three variants N501I, N501T, and N501V could worsen the situation further if they emerged. The relations between the viral fitness and binding affinity is a complicated game thus the emergence of high affinity mutations in the SARS-CoV-2 RBD brings up the question of whether or not positive selection favours these mutations or not?

Exploring behavioral determinants of handwashing with soap after defecation in an urban setting in Bangladesh: findings from a barrier analysis

Social and behavior change (SBC) has long been recognized as a necessary step in the promotion of handwashing with soap (HHWS), and identifying the barriers and enablers of this behavior are key to increasing its adoption. Based on the health belief model (HBM), the theory of reasoned action (TRA) and other behavioral models, this barrier analysis study was conducted to identify the barriers and enablers of HWWS after defecation in an urban setting in Bangladesh. We conducted interviews with 45 adults who washed their hands with soap after defecation (doers) and compared them to 45 adults who did not (non-doers). The analysis showed that the main barriers of HWWS after defecation were related to perceived self-efficacy, difficulty to remember to buy soap, access to low-cost soap, low perceived severity of diarrhea, and not believing that HWWS would reduce diarrhea. Believing that it is Allah's will when one gets diarrhea was mentioned more frequently by the non-doers, while feeling clean and keeping free from illness were reported as benefits of HWWS significantly by the doers. The results suggest that an SBC strategy that addresses these key barriers and enablers would be more effective in promoting the adoption of HWWS.

Response, readiness and challenges of online teaching amid COVID-19 pandemic: the case of higher education in Bangladesh

Objective: Online education is a relatively new phenomenon in Bangladesh. Gathering data online during the early days of the COVID-19 pandemic, this study examines the response, readiness and challenges of online education in the Bangladeshi context. Method: Data were collected by applying qualitative approaches such as focus group discussions and in-depth interviews with purposively selected students and teachers involved in online education at two public and three private universities. Results: The findings reveal an immediate response from some universities and late or no action from others in continuing education during the pandemic. Since teachers, students or the university administration were unprepared for such a situation, there was a shortage of or creation of initiatives, although a certain degree of success was noticed. Major challenges include the lack of appropriate technology, knowledge of technology use, teachers' inadequate skills in operating the system and motivating students, poor Internet facilities and high Internet costs, and absence of a calm environment at students' homes. Conclusion: Steps such as workshops for teacher development, improvement of technology and facilities, subsidies in Internet use, revisits to higher education and emergency education laws, and assistance from other professionals and institutions are proposed for consideration.

COVID-19-Associated Mucormycosis (CAM): An Updated Evidence Mapping.

Mucormycosis, a serious and rare fungal infection, has recently been reported in COVID-19 patients worldwide. This study aims to map all the emerging evidence on the COVID-19-associated mucormycosis (CAM) with a special focus on clinical presentation, treatment modalities, and patient outcomes. An extensive literature search was performed in MEDLINE (Ovid), Embase (Ovid), Cochrane COVID-19 Study Register, and WHO COVID-19 database till 9 June 2021. The primary outcome was to summarize the clinical presentation, treatment modalities, and patient outcomes of CAM. Data were summarized using descriptive statistics and presented in tabular form. This evidence mapping was based on a total of 167 CAM patients with a mean age of 51 ± 14.62 years, and 56.28% of them were male. Diabetes mellitus (73.65% (n = 123)), hypertension (22.75% (n = 38)), and renal failure (10.77% (n = 18)) were the most common co-morbidities among CAM patients. The most common symptoms observed in CAM patients were facial pain, ptosis, proptosis, visual acuity, and vision loss. Survival was higher in patients who underwent both medical and surgical management (64.96%). Overall mortality among CAM patients was found to be 38.32%. In conclusion, this study found a high incidence of CAM with a high mortality rate. Optimal glycemic control and early identification of mucormycosis should be the priority to reduce the morbidity and mortality related to CAM.

Microbial Metabolites: The Emerging Hotspot of Antiviral Compounds as Potential Candidates to Avert Viral Pandemic Alike COVID-19.

The present global COVID-19 pandemic caused by the noble pleomorphic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has created a vulnerable situation in the global healthcare and economy. In this pandemic situation, researchers all around the world are trying their level best to find suitable therapeutics from various sources to combat against the SARS-CoV-2. To date, numerous bioactive compounds from different sources have been tested to control many viral diseases. However, microbial metabolites are advantageous for drug development over metabolites from other sources. We herein retrieved and reviewed literatures from PubMed, Scopus and Google relevant to antiviral microbial metabolites by searching with the keywords "antiviral microbial metabolites," "microbial metabolite against virus," "microorganism with antiviral activity," "antiviral medicine from microbial metabolite," "antiviral bacterial metabolites," "antiviral fungal metabolites," "antiviral metabolites from microscopic algae' and so on. For the same purpose, the keywords "microbial metabolites against COVID-19 and SARS-CoV-2" and "plant metabolites against COVID-19 and SARS-CoV-2" were used. Only the full text literatures available in English and pertinent to the topic have been included and those which are not available as full text in English and pertinent to antiviral or anti-SARS-CoV-2 activity were excluded. In this review, we have accumulated microbial metabolites that can be used as antiviral agents against a broad range of viruses including SARS-CoV-2. Based on this concept, we have included 330 antiviral microbial metabolites so far available to date in the data bases and were previously isolated from fungi, bacteria and microalgae. The microbial source, chemical nature, targeted viruses, mechanism of actions and IC50/EC50 values of these metabolites are discussed although mechanisms of actions of many of them are not yet elucidated. Among these antiviral microbial metabolites, some compounds might be very potential against many other viruses including coronaviruses. However, these potential microbial metabolites need further research to be developed as effective antiviral drugs. This paper may provide the scientific community with the possible secret of microbial metabolites that could be an effective source of novel antiviral drugs to fight against many viruses including SARS-CoV-2 as well as the future viral pandemics.

Major Insights in Dynamics of Host Response to SARS-CoV-2: Impacts and Challenges.

The coronavirus disease 2019 (COVID-19), a pandemic declared by the World Health Organization on March 11, 2020, is caused by the infection of highly transmissible species of a novel coronavirus called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). As of July 25, 2021, there are 194,372,584 cases and 4,167,937 deaths with high variability in clinical manifestations, disease burden, and post-disease complications among different people around the globe. Overall, COVID-19 is manifested as mild to moderate in almost 90% of the cases and only the rest 10% of the cases need hospitalization. However, patients with older age and those having different comorbidities have made worst the pandemic scenario. The variability of pathological consequences and clinical manifestations of COVID-19 is associated with differential host-SARS-CoV-2 interactions, which are influenced by the factors that originated from the SARS-CoV-2 and the host. These factors usually include the genomic attributes and virulent factors of the SARS-CoV-2, the burden of coinfection with other viruses and bacteria, age and gender of the individuals, different comorbidities, immune suppressions/deficiency, genotypes of major histocompatibility complex, and blood group antigens and antibodies. We herein retrieved and reviewed literatures from PubMed, Scopus, and Google relevant to clinical complications and pathogenesis of COVID-19 among people of different age, sex, and geographical locations; genomic characteristics of SARS-CoV-2 including its variants, host response under different variables, and comorbidities to summarize the dynamics of the host response to SARS-CoV-2 infection; and host response toward approved vaccines and treatment strategies against COVID-19. After reviewing a large number of published articles covering different aspects of host response to SARS-CoV-2, it is clear that one aspect from one region is not working with the scenario same to others, as studies have been done separately with a very small number of cases from a particular area/region of a country. Importantly, to combat such a pandemic as COVID-19, a conclusive understanding of the disease dynamics is required. This review emphasizes on the identification of the factors influencing the dynamics of host responses to SARS-CoV-2 and offers a future perspective to explore the molecular insights of COVID-19.

Intragenerational Social Mobility and Preventive Behaviors regarding COVID-19: A Case Study of the Slum and Non-Slum People in Dhaka City (preprint)

Background: The policy design for eliminating health inequality from social mobility perspective has been prioritized in the sociological studies. The World Economic Forum has also developed Global Social Mobility Index taking into account the fixing of social inequality including health inequality. Unfortunately, the policy design and explanation for preventive behavior gap regarding COVID-19 from social mobility perspective has hitherto been an unexplained phenomenon in Bangladeshi context. This study, hence, evaluates the effectiveness of Health Belief Model (HBM) in explaining the preventive behavior gap index (PBGI) regarding COVID-19 in relation to Blau and Duncan’s socioeconomic status (SES) index and explores other extraneous factors. Methods: : The study follows explanatory sequential mixed-method approach. In the first phase, the study has conducted pilot test for confirmatory factor analysis. The second phase is also quantitative in nature which follows the perfectly experimental research design. In this regard, the study first used SPSS software (Windows version 25) and then converting into CSV format linked with SmartPLS 3 for developing structural equation model. In the third phase, qualitative data were collected using key informant interview to explore other extraneous factors that can explain the preventive behaviors of slum and non-slum peoples of Bangladesh regarding COVID-19. Results: : The high SES index score of non-slum people have positively significant effect on their PBGI regarding COVID-19 mediated through perception gap index ( PGI ) while the low SES index score of slum people have negatively non-significant effect on the same constructs. Conclusions: : The HBM as dysfunctional should be revisited in line with the free provision of protective equipment for understanding the health behavior of those people who live from hands to mouth.

Effect of meteorological factors on COVID-19 cases in Bangladesh.

This work is intended to examine the effects of Bangladesh's subtropical climate on coronavirus diseases 2019 (COVID-19) transmission. Secondary data for daily meteorological variables and COVID-19 cases from March 8 to May 31, 2020, were collected from the Bangladesh Meteorological Department (BMD) and Institute of Epidemiology, Disease Control and Research (IEDCR). Distributed lag nonlinear models, Pearson's correlation coefficient and wavelet transform coherence were employed to appraise the relationship between meteorological factors and COVID-19 cases. Significant coherence between meteorological variables and COVID-19 at various time-frequency bands has been identified in this work. The results showed that the minimum (MinT) and mean temperature, wind speed (WS), relative humidity (RH) and absolute humidity (AH) had a significant positive correlation while contact transmission had no direct association with the number of COVID-19 confirmed cases. When the MinT was 18 °C, the relative risk (RR) was the highest as 1.04 (95%CI 1.01-1.06) at lag day 11. For the WS, the highest RR was 1.03 (95% CI 1.00-1.07) at lag day 0, when the WS was 21 km/h. When RH was 46%, the highest RR was 1.00 (95% CI 0.98-1.01) at lag day 14. When AH was 23 g/m3, the highest RR was 1.05 (95% CI 1.01-1.09) at lag day 14. We found a profound effect of meteorological factors on SARS-CoV-2 transmission. These results will assist policymakers to know the behavioral pattern of the SARS-CoV-2 virus against meteorological indicators and thus assist to devise an effective policy to fight against COVID-19 in Bangladesh.