135 research outputs found

    Self-medication during COVID-19 outbreak: a cross sectional online survey in Dhaka city

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    Background: Self-medication is a common practice in Bangladesh as it provides a low-cost alternative for people, which involves inappropriate and injudicious use of medicines treat self-recognized symptoms by the people.Methods: A cross sectional online survey was conducted on 626 citizens by structured questionnaires during COVID-19 outbreak from April to May 2020 in Dhaka city, to observe the prevalence, pattern and sources of self-medication among the respondents with high socio-economic standings and education.Results: The prevalence of self-medication amid the outbreak of COVID-19 was 88.33% and only 179 (28.59%) took medication with doctors’ advice and remaining 447 (71.40%) respondents took the drugs as “self-medication” by other sources. The most frequently used prescription-only drug during the outbreak were ivermectin (77.15%), azithromycin (54.15%), doxycycline (40.25%). The common symptoms for which the respondent took self-medications were fever, throat pain, dry-cough and total 105 (16.77%) respondents took medications without having any symptoms. Almost 355 (85.33%) had taken medication without doing any test for COVID-19. This could be due to unusual distress, caused by high self-awareness of their health and buying capacity of medication.Conclusions: The study revealed the causes of self-medication as news of spread, effects and remedies in media channels, internet; mental stress of lockdown and isolation, insecurity and panic about scarcity of drug and healthcare support. High risks of developing antibiotic resistance, adverse drug reactions and financial loss was predictable with absence of strict regulatory enforcement to protect people and proper utilization resources during COVID-19 outbreak in Dhaka city

    Acquaintance, approach and application of pharmacovigilance: questionnaire based study at a tertiary care teaching hospital in Dhaka

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    Background: Pharmacovigilance is proven as an effective monitoring mechanism for safety and efficacy of pharmaceutical products with the assistance of physicians, pharmacists, nurses, and other healthcare professionals to avoid undue physical, mental and financial suffering of patients. Thus, this study was conducted to assess awareness of pharmacovigilance among the healthcare service providers to evaluate the acquaintance, approach application (3A) of judicial reporting of ADRs and pharmacovigilance in a tertiary care teaching hospital in Dhaka.Methods: A pre-tested questionnaire-based study was done among the 5th year medical students, interns, doctors and nurses of Holy Family Red Crescent Medical College, Dhaka, Bangladesh to assess the overall status of acquaintance (knowledge), approach (attitude) and application (practice) pharmacovigilance. Total 417 questionnaires were distributed and 389 were included as valid, compiled and analysed using SPSS version 25.0.Results: Among the respondents, almost 78% of the nurses responded the right answers and doctors responded the lowest 29% on average. The average percentage of approach and application of pharmacovigilance was low in all the respondent groups. The poorest outcome was observed about reporting an adverse drug reactions (ADR) form by all respondents as 01% to 08%.Conclusions: The overall status of pharmacovigilance in a tertiary teaching hospital was found paradoxically low, that revealed the necessity of much more initiatives at the undergraduate and postgraduate academic curriculum and intensive motivation, training, monitoring should be addressed to ensure the safety of medication, rationality of drug use and accomplish the national pharmacovigilance programs

    Geographical Concentration of Rural Poverty in Bangladesh

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    This paper was presented at the dialogue on Mapping Poverty for Rural Bangladesh: Implications for Pro-poor Development. The dialogue was organised as part of CPD's ongoing agricultural policy research and advocacy activities with IRRI under the PETRRA project. The study reported geographical concentration of rural poverty in Bangladesh for 425 upazilas in 2000-01. The study measured and mapped incidence of poverty (using Headcount Index), intensity of poverty (using Poverty Gap Index) and severity of poverty (using Squared Poverty Gap Index). It has analyzed factors contributing to the spatial concentration of poverty. It is hoped that the findings of the study would be helpful in identifying target areas and priorities for agricultural R&D interventions and poverty reduction programmes.Poverty, Rural Poverty, Bangladesh

    Simulation of Surface Runoff and Channel Flows Using a 2D Numerical Model

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    Numerical simulation of surface runoff is used to understand and predict watershed sediment transport and water quality and improve management of agricultural watersheds. However, models currently available are either simplified or parameterized for efficiency. In this chapter, CCHE2D, a physically based hydrodynamic model for general free surface flow hydrodynamics, was applied to study watershed surface runoff and channel flows. Multiple analytical solutions and experimental data were used to verify and validate this finite element model systematically with good results. A numerical scheme for correcting the bilinear interpolation of the water surface elevation solutions from the cell centers to the computational nodes was developed to improve the model. The correction was found necessary and effective for the sheet runoff simulations over the irregular bed topography. The modified numerical model was then used to simulate storms in a low-relief agricultural watershed in the Mississippi River alluvial plain. This physically based model identified the channel networks, watershed boundary automatically, and helped to develop rating curves at the gage station of this complex watershed. The numerical simulations resolved detailed runoff and turbulent channel flows, which can be used for soil erosion and gully development analyses

    Novel chemical degumming process and its effect on structure and properties of mulberry fibres

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    A novel chemical degumming (Fibre-N) method has been used to extract fibres from the bark of mulberry plant. Fibres obtained by a new method (Fibre-N) are characterized by the X-ray diffraction, scanning electron microscopy, Fourier transform Infrared spectroscopy, residual gum content, fibre yield, and mechanical property measurement. Fibre-N method exhibits 17.71% lower residual gum content, 37.18% higher breaking strength, 18.36% higher breaking elongation and 10.81% higher fibre yield. Fibre-N process used to extract fibres from mulberry plant is more economical and efficient, which could be used as a promising method for producing textile yarns, nonwovens, and composites.

    Aesthetic implant: A new era of aesthetic dentistry

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    The dental implant is used to replace the natural tooth system. It requires comprehensive preoperative planning and precise surgical execution. In this case report, a 45 year old male presented with missing upper left maxillary central incisor which was extracted 5 months back. He had discomfort during function and unwillingness to smile. He wanted to replace that edentulous area. The treatment options for replacing the missing tooth were discussed with the patient. Finally, with patient's consent the decision was made to replace that edentulous area with an implant supported porcelain fused to metal prosthesis in an esthetic manner. Recall visits exhibited patient's high-level confidence of smile with optimum satisfaction and successful aesthetic outcome.

    Restriction landmark genomic scanning (RLGS) spot identification by second generation virtual RLGS in multiple genomes with multiple enzyme combinations.

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    BackgroundRestriction landmark genomic scanning (RLGS) is one of the most successfully applied methods for the identification of aberrant CpG island hypermethylation in cancer, as well as the identification of tissue specific methylation of CpG islands. However, a limitation to the utility of this method has been the ability to assign specific genomic sequences to RLGS spots, a process commonly referred to as "RLGS spot cloning."ResultsWe report the development of a virtual RLGS method (vRLGS) that allows for RLGS spot identification in any sequenced genome and with any enzyme combination. We report significant improvements in predicting DNA fragment migration patterns by incorporating sequence information into the migration models, and demonstrate a median Euclidian distance between actual and predicted spot migration of 0.18 centimeters for the most complex human RLGS pattern. We report the confirmed identification of 795 human and 530 mouse RLGS spots for the most commonly used enzyme combinations. We also developed a method to filter the virtual spots to reduce the number of extra spots seen on a virtual profile for both the mouse and human genomes. We demonstrate use of this filter to simplify spot cloning and to assist in the identification of spots exhibiting tissue-specific methylation.ConclusionThe new vRLGS system reported here is highly robust for the identification of novel RLGS spots. The migration models developed are not specific to the genome being studied or the enzyme combination being used, making this tool broadly applicable. The identification of hundreds of mouse and human RLGS spot loci confirms the strong bias of RLGS studies to focus on CpG islands and provides a valuable resource to rapidly study their methylation

    Hematopoietic growth factor inducible neurokinin-1 (Gpnmb/Osteoactivin) is a biomarker of progressive renal injury across species

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    We sought to find a urinary biomarker for chronic kidney disease and tested hematopoietic growth factor inducible neurokinin-1 (HGFIN, also known as Gpnmb/Osteoactivin) as it was found to be a kidney injury biomarker in microarray studies. Here, we studied whether HGFIN is a marker of kidney disease progression. Its increase in kidney disease was confirmed by real-time PCR after 5/6 nephrectomy, in streptozotocin-induced diabetes, and in patients with chronic kidney disease. In the remnant kidney, HGFIN mRNA increased over time reflecting lesion chronicity. HGFIN was identified in the infarct portion of the remnant kidney in infiltrating hematopoietic interstitial cells, and in distal nephron tubules of the viable remnant kidney expressed de novo with increasing time. In vitro, it localized to cytoplasmic vesicles and cell membranes. Epithelial cells lining distal tubules and sloughed luminal tubule cells of patients expressed HGFIN protein. The urine HGFIN-to-creatinine ratio increased over time after 5/6 nephrectomy; increased in patients with proteinuric and polycystic kidney disease; and remained detectable in urine after prolonged freezer storage. The urine HGFIN-to-creatinine ratio compared favorably with the urine neutrophil gelatinase-associated lipocalin (NGAL)-to-creatinine ratio (both measured by commercial enzyme-linked immunosorbent assays (ELISAs)), and correlated strongly with proteinuria, but weakly with estimated glomerular filtration rate and serum creatinine. Thus, HGFIN may be a biomarker of progressive kidney disease

    Genomics, social media and mobile phone data enable mapping of SARS-CoV-2 lineages to inform health policy in Bangladesh.

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    Genomics, combined with population mobility data, used to map importation and spatial spread of SARS-CoV-2 in high-income countries has enabled the implementation of local control measures. Here, to track the spread of SARS-CoV-2 lineages in Bangladesh at the national level, we analysed outbreak trajectory and variant emergence using genomics, Facebook 'Data for Good' and data from three mobile phone operators. We sequenced the complete genomes of 67 SARS-CoV-2 samples (collected by the IEDCR in Bangladesh between March and July 2020) and combined these data with 324 publicly available Global Initiative on Sharing All Influenza Data (GISAID) SARS-CoV-2 genomes from Bangladesh at that time. We found that most (85%) of the sequenced isolates were Pango lineage B.1.1.25 (58%), B.1.1 (19%) or B.1.36 (8%) in early-mid 2020. Bayesian time-scaled phylogenetic analysis predicted that SARS-CoV-2 first emerged during mid-February in Bangladesh, from abroad, with the first case of coronavirus disease 2019 (COVID-19) reported on 8 March 2020. At the end of March 2020, three discrete lineages expanded and spread clonally across Bangladesh. The shifting pattern of viral diversity in Bangladesh, combined with the mobility data, revealed that the mass migration of people from cities to rural areas at the end of March, followed by frequent travel between Dhaka (the capital of Bangladesh) and the rest of the country, disseminated three dominant viral lineages. Further analysis of an additional 85 genomes (November 2020 to April 2021) found that importation of variant of concern Beta (B.1.351) had occurred and that Beta had become dominant in Dhaka. Our interpretation that population mobility out of Dhaka, and travel from urban hotspots to rural areas, disseminated lineages in Bangladesh in the first wave continues to inform government policies to control national case numbers by limiting within-country travel

    Insights on Lymphedema Self-Care Knowledge and Practice in Filariasis and Podoconiosis-Endemic Communities in Bangladesh and Ethiopia

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    Lymphedema is a life-long sequelae to several neglected tropical diseases (NTD). In Bangladesh the main cause is lymphatic filariasis (LF) and Ethiopia is endemic for both LF and podoconiosis. The World Health Organization (WHO) recommends daily self-care including meticulous washing and drying of affected skin and attention to entry lesions, limb exercises and elevation. Adherence to this regime reduces secondary infections which cause disabling episodes of acute dermato-lymphangitis (ADL). Self-care practices must be integrated into family life, supported by community and monitored by health staff; however, little is known about the influence of personal and socio-demographic factors on adherence. People affected by lymphedema (n=272), adult caregivers (n=272), and health workers (n=68) in Bangladesh and Ethiopia were trained in lymphedema management according to WHO recommendations. Surveys on the causes and management of lymphedema were collected at baseline and 24-weeks, and patients completed a daily journal of self-care activities and symptoms. At baseline knowledge on causes and management of lymphedema was greater among health workers (&amp;gt;70%) than patients and caregivers (&amp;lt;20%) in both countries, and there were significant between-country differences in patient reported use of limb washing (Bangladesh = 7.7%. Ethiopia = 51.1%, p = 0.001). At 24-weeks knowledge on lymphedema causes and management had increased significantly among patients and caregivers, there was &amp;lt;70% adherence to limb washing and exercises, but lesser use of limb elevation in both countries. A range of patient characteristics were associated with significant variation in self-care, except for limb washing. Performance of fewer leg exercises was significantly associated with increased age or severe lymphedema in Bangladesh, and with being female or in paid work in Ethiopia. Patient journals recorded ADL symptoms and working days lost due to lymphedema more frequently than were reported by recall during the 24-week survey. Core elements of lymphedema self-care education, training and monitoring are the same for multiple etiologies. This creates opportunities for cross-cutting implementation of integrated service delivery across several skin NTDs. Sustainability will depend on community level ownership and research on factors affecting adherence to lymphedema self-care are urgently needed.</jats:p
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