35 results on '"Tasnim Nafisa"'
Search Results
2. Spike protein mutations and structural insights of pangolin lineage B.1.1.25 with implications for viral pathogenicity and ACE2 binding affinity
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Shahina Akter, Jonas Ivan Nobre Oliveira, Carl Barton, Murshed Hasan Sarkar, Muhammad Shahab, Tanjina Akhtar Banu, Barna Goswami, Eshrar Osman, Mohammad Samir Uzzaman, Tasnim Nafisa, Maruf Ahmed Molla, Mahmuda Yeasmin, Maisha Farzana, Ahashan Habib, Aftab Ali Shaikh, and Salim Khan
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Medicine ,Science - Abstract
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of COVID -19, is constantly evolving, requiring continuous genomic surveillance. In this study, we used whole-genome sequencing to investigate the genetic epidemiology of SARS-CoV-2 in Bangladesh, with particular emphasis on identifying dominant variants and associated mutations. We used high-throughput next-generation sequencing (NGS) to obtain DNA sequences from COVID-19 patient samples and compared these sequences to the Wuhan SARS-CoV-2 reference genome using the Global Initiative for Sharing All Influenza Data (GISAID). Our phylogenetic and mutational analyzes revealed that the majority (88%) of the samples belonged to the pangolin lineage B.1.1.25, whereas the remaining 11% were assigned to the parental lineage B.1.1. Two main mutations, D614G and P681R, were identified in the spike protein sequences of the samples. The D614G mutation, which is the most common, decreases S1 domain flexibility, whereas the P681R mutation may increase the severity of viral infections by increasing the binding affinity between the spike protein and the ACE2 receptor. We employed molecular modeling techniques, including protein modeling, molecular docking, and quantum mechanics/molecular mechanics (QM/MM) geometry optimization, to build and validate three-dimensional models of the S_D614G-ACE2 and S_P681R-ACE2 complexes from the predominant strains. The description of the binding mode and intermolecular contacts of the referenced systems suggests that the P681R mutation may be associated with increased viral pathogenicity in Bangladeshi patients due to enhanced electrostatic interactions between the mutant spike protein and the human ACE2 receptor, underscoring the importance of continuous genomic surveillance in the fight against COVID -19. Finally, the binding profile of the S_D614G-ACE2 and S_P681R-ACE2 complexes offer valuable insights to deeply understand the binding site characteristics that could help to develop antiviral therapeutics that inhibit protein–protein interactions between SARS-CoV-2 spike protein and human ACE2 receptor.
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- 2023
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3. Predominant dengue virus serotype in Dhaka, Bangladesh: A research letter on samples from 2022 outbreak
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Tasnim Nafisa, Arifa Akram, Mahmuda Yeasmin, Tania Islam Resma, Md. Abu Baker Siddique, Nur Hosen, Monirul Islam, Golam Rabbani, Monira Pervin, Mohammad S. S. Shakil, and Md. Maruf Ahmed Molla
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Medicine - Published
- 2024
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4. SARS-CoV-2 infection reduces human nasopharyngeal commensal microbiome with inclusion of pathobionts
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M. Nazmul Hoque, Md. Murshed Hasan Sarkar, M. Shaminur Rahman, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, M. Saddam Hossain, A. K. Mohammad Shamsuzzaman, Tasnim Nafisa, M. Maruf Ahmed Molla, Mahmuda Yeasmin, Asish Kumar Ghosh, Eshrar Osman, S. K. Saiful Alam, Mohammad Samir Uzzaman, Md Ahashan Habib, Abu Sayeed Mohammad Mahmud, Keith A. Crandall, Tofazzal Islam, and Md. Salim Khan
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Medicine ,Science - Abstract
Abstract The microbiota of the nasopharyngeal tract (NT) play a role in host immunity against respiratory infectious diseases. However, scant information is available on interactions of SARS-CoV-2 with the nasopharyngeal microbiome. This study characterizes the effects of SARS-CoV-2 infection on human nasopharyngeal microbiomes and their relevant metabolic functions. Twenty-two (n = 22) nasopharyngeal swab samples (including COVID-19 patients = 8, recovered humans = 7, and healthy people = 7) were collected, and underwent to RNAseq-based metagenomic investigation. Our RNAseq data mapped to 2281 bacterial species (including 1477, 919 and 676 in healthy, COVID-19 and recovered metagenomes, respectively) indicating a distinct microbiome dysbiosis. The COVID-19 and recovered samples included 67% and 77% opportunistic bacterial species, respectively compared to healthy controls. Notably, 79% commensal bacterial species found in healthy controls were not detected in COVID-19 and recovered people. Similar dysbiosis was also found in viral and archaeal fraction of the nasopharyngeal microbiomes. We also detected several altered metabolic pathways and functional genes in the progression and pathophysiology of COVID-19. The nasopharyngeal microbiome dysbiosis and their genomic features determined by our RNAseq analyses shed light on early interactions of SARS-CoV-2 with the nasopharyngeal resident microbiota that might be helpful for developing microbiome-based diagnostics and therapeutics for this novel pandemic disease.
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- 2021
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5. Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches
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M. Nazmul Hoque, Md. Murshed Hasan Sarkar, Md. Arif Khan, Md. Arju Hossain, Md. Imran Hasan, Md. Habibur Rahman, Md. Ahashan Habib, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, Tasnim Nafisa, Md. Maruf Ahmed Molla, Mahmoud E. Soliman, Yusha Araf, M. Salim Khan, Chunfu Zheng, and Tofazzal Islam
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SARS-CoV-2 ,functional enrichment ,gene regulatory networks ,therapeutic targets ,RNA-seq ,genomics ,Immunologic diseases. Allergy ,RC581-607 - Abstract
The COVID-19 pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has created an urgent global situation. Therefore, it is necessary to identify the differentially expressed genes (DEGs) in COVID-19 patients to understand disease pathogenesis and the genetic factor(s) responsible for inter-individual variability and disease comorbidities. The pandemic continues to spread worldwide, despite intense efforts to develop multiple vaccines and therapeutic options against COVID-19. However, the precise role of SARS-CoV-2 in the pathophysiology of the nasopharyngeal tract (NT) is still unfathomable. This study utilized machine learning approaches to analyze 22 RNA-seq data from COVID-19 patients (n = 8), recovered individuals (n = 7), and healthy individuals (n = 7) to find disease-related differentially expressed genes (DEGs). We compared dysregulated DEGs to detect critical pathways and gene ontology (GO) connected to COVID-19 comorbidities. We found 1960 and 153 DEG signatures in COVID-19 patients and recovered individuals compared to healthy controls. In COVID-19 patients, the DEG–miRNA, and DEG–transcription factors (TFs) interactions network analysis revealed that E2F1, MAX, EGR1, YY1, and SRF were the highly expressed TFs, whereas hsa-miR-19b, hsa-miR-495, hsa-miR-340, hsa-miR-101, and hsa-miR-19a were the overexpressed miRNAs. Three chemical agents (Valproic Acid, Alfatoxin B1, and Cyclosporine) were abundant in COVID-19 patients and recovered individuals. Mental retardation, mental deficit, intellectual disability, muscle hypotonia, micrognathism, and cleft palate were the significant diseases associated with COVID-19 by sharing DEGs. Finally, the detected DEGs mediated by TFs and miRNA expression indicated that SARS-CoV-2 infection might contribute to various comorbidities. Our results provide the common DEGs between COVID-19 patients and recovered humans, which suggests some crucial insights into the complex interplay between COVID-19 progression and the recovery stage, and offer some suggestions on therapeutic target identification in COVID-19 caused by the SARS-CoV-2.
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- 2022
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6. HIV‐1 molecular epidemiology in Bangladesh: A systematic review
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Md. Maruf Ahmed Molla, Mahmuda Yeasmin, Asish Kumar Ghosh, Tasnim Nafisa, Md. Khairul Islam, and K.M. Saif‐Ur‐Rahman
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Bangladesh ,HIV‐1 ,molecular epidemiology ,prevalence ,subtypes ,systematic review ,Medicine - Abstract
Abstract Background and Aims It is postulated that molecular methods along with mathematical modeling can provide critical inference regarding epidemiological parameters, transmission dynamics, spatiotemporal characteristics, and intervention efficacy. Hence, studying molecular epidemiology of human immunodeficiency virus (HIV)‐1 infection, especially in resource‐limited settings and with a large diaspora of the migrant population such as that of Bangladesh, is of paramount importance. The purpose of this systematic review was to concisely present and discuss the findings from previous studies conducted in Bangladesh regarding HIV‐1 subtype prevalence. Methods Articles were retrieved from six publicly available databases regarding HIV‐1 molecular epidemiology using keywords HIV, HIV‐1, subtype(s), Bangladesh, and any combination of aforementioned keywords using Boolean operators. A total of 14 articles were downloaded and screened for suitability. Finally, five studies, containing pooled sequences from 317 individuals, were included in this systematic review. Results Results revealed a preponderance of subtype C among HIV‐1 infected population (51.10%), followed by circulating recombinant form (CRF)_07BC (15.46%), CRF_01AE (5.68%), A1 (4.73%), CRF_02AG (3.47%), G (3.15%), CRF_62BC (2.84%), B (2.21%), and other subtypes and recombinant forms in small percentages. Subtype C was largely predominant in intravenous drug users as well as female sex workers, whereas the migrant population exhibited a diverse subtype including rare recombinant forms, largely due to their travel in the Middle East and other South East Asian countries. Conclusion With the number of HIV‐1 infections increasing among the general population and a steady increase in the migrant population, molecular epidemiological data are required to curb the progression of the HIV‐1 epidemic in Bangladesh.
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- 2021
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7. Clinical Presentation of COVID-19 and Antibody Responses in Bangladeshi Patients Infected with the Delta or Omicron Variants of SARS-CoV-2
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Asish Kumar Ghosh, Olfert Landt, Mahmuda Yeasmin, Mohiuddin Sharif, Rifat Hossain Ratul, Maruf Ahmed Molla, Tasnim Nafisa, Mymuna Binte Mosaddeque, Nur Hosen, Md. Rakibul Hassan Bulbul, Rashid Mamunur, Alimul Islam, Shahjahan Siddike Shakil, Marco Kaiser, Md. Robed Amin, and Simon D. Lytton
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SARS CoV-2 variants ,Omicron ,Delta ,PCR melting curve analysis ,COVID-19 symptoms ,hospitalization ,Medicine - Abstract
The clinical presentation of COVID-19 and the specific antibody responses associated with SARS-CoV-2 variants have not been investigated during the emergence of Omicron variants in Bangladesh. The Delta and Omicron variants were identified by post-PCR melting curve analysis of the spike (S) protein receptor binding domain amplicons. Anti-S-protein immunoglobulin-G anti-nucleocapsid (N)-protein immunoglobulin-G and immunoglobulin-A levels were measured by ELISA. The Delta variant was found in 40 out of 40 (100%) SARS-CoV-2 RT-PCR positive COVID-19 patients between 13 September and 23 October 2021 and Omicron variants in 90 out of 90 (100%) RT-PCR positive COVID-19 patients between 9 January and 10 February 2022. The Delta variant associated with hospitalization (74%, 80%, and 40%) and oxygen support (60%, 57%, and 40%) in the no vaccine, dose-1, and dose-2 vaccinated cases, respectively, whereas the Omicron COVID-19 required neither hospitalization nor oxygen support (0%, p < 0.0001). Fever, cough, and breathlessness were found at a significantly higher frequency among the Delta than Omicron variants (p < 0.001). The viral RNA levels of the Delta variant were higher than that of the Omicron variants (Ct median 19.9 versus 23.85; p < 0.02). Anti-spike protein immunoglobulin-G and anti-N-protein immunoglobulin-G within 1 week post onset of Delta variant COVID-19 symptoms indicate prior SARS-CoV-2 infection. The Delta variant and Omicron BA.1 and BA.2 breakthrough infections in the Dhaka region, at 240 days post onset of COVID-19 symptoms, negatively correlated with the time interval between the second vaccine dose and serum sampling. The findings of lower anti-spike protein immunoglobulin-G reactivity after booster vaccination than after the second vaccine dose suggest that the booster vaccine is not necessarily beneficial in young Bangladeshi adults having a history of repeated SARS-CoV-2 infections.
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- 2022
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8. Antibiotic Prescribing Patterns at COVID-19 Dedicated Wards in Bangladesh: Findings from a Single Center Study
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Md. Maruf Ahmed Molla, Mahmuda Yeasmin, Md. Khairul Islam, Md. Mohiuddin Sharif, Md. Robed Amin, Tasnim Nafisa, Asish Kumar Ghosh, Monira Parveen, Md. Masum Hossain Arif, Junaid Abdullah Jamiul Alam, Syed Jafar Raza Rizvi, K.M. Saif-Ur-Rahman, Arifa Akram, and A.K.M. Shamsuzzaman
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COVID-19 ,Antimicrobial resistance ,Bangladesh ,SARS-CoV-2 ,Point prevalence survey ,Infectious and parasitic diseases ,RC109-216 ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: As evidence is mounting regarding irrational and often unnecessary use of antibiotics during the COVID-19 pandemic a cross-sectional Point Prevalence Survey (PPS) (in accordance with WHO guideline) was conducted across COVID-19 dedicated wards in Dhaka Medical College and Hospital (DMCH). Methodology: Antibiotic usage data were collected from 193 patients at different COVID-19 dedicated wards at DMCH on 11 June 2020. Comparisons in antibiotic usage were made between different groups using Pearson chi-square and Fisher's exact test. Result: Findings reveal all surveyed patients (100%) were receiving at least one antibiotic with 133 patients (68.91%) receiving multiple antibiotics. Overall, patients presenting with the severe disease received more antibiotics. Third-generation cephalosporins (i.e. ceftriaxone) (53.8%), meropenem (40.9%), moxifloxacin (29.5%), and doxycycline (25.4%) were the four most prescribed antibiotics among surveyed patients. Diabetes mellitus (DM) was independently associated with multiple antibiotic prescribing. Abnormal C-reactive protein (CRP) and serum d-dimer were linked with higher odds of multiple antibiotic prescribing among study patients. Conclusion: Prevalence of multiple antibiotic prescriptions was high among severely ill patients and those with abnormal CRP and d-dimer levels. Data regarding the quality of antibiotic prescribing were lacking.
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- 2021
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9. Molecular and Serological Characterization of the SARS-CoV-2 Delta Variant in Bangladesh in 2021
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Asish Kumar Ghosh, Marco Kaiser, Md. Maruf Ahmed Molla, Tasnim Nafisa, Mahmuda Yeasmin, Rifat Hossain Ratul, Md. Mohiuddin Sharif, Arifa Akram, Nur Hosen, Rashid Mamunur, Md. Robed Amin, Alimul Islam, Md. Ehsanul Hoque, Olfert Landt, and Simon D. Lytton
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SARS-CoV-2 ,delta variant ,Bangladesh ,anti-S-protein IgG ,anti-N-protein IgG ,amino acid mutations ,Microbiology ,QR1-502 - Abstract
Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of COVID-19 pandemic. To identify SARS CoV-2 variants in Bangladesh, patients who are RT-PCR-positive for COVID-19 infections in Dhaka were screened by a RT-PCR melting curve analysis for spike protein mutations. To assess the anti-SARS CoV-2 antibody responses, the levels of the anti-S -proteins IgA and IgG and the anti-N-protein IgG were measured by ELISA. Of a total of 36 RT-PCR positive samples (75%), 27 were identified as delta variants, with one carrying an additional Q677H mutation and two with single nucleotide substitutions at position 23029 (compared to Wuhan-Hu-1 reference NC 045512) in the genome sequence. Three (8.3%) were identified as beta variants, two (5.5%) were identified as alpha variants, three (8.3%) were identified as having a B.1.1.318 lineage, and one sample was identified as an eta variant (B.1.525) carrying an additional V687L mutation. The trend of higher viral load (lower Cp values) among delta variants than in the alpha and beta variants was of borderline statistical significance (p = 0.045). Prospective studies with larger Bangladeshi cohorts are warranted to confirm the emergence of S-protein mutations and their association with antibody response in natural infection and potential breakthrough in vaccinated subjects.
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- 2021
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10. Detection of Anti-Nucleocapsid Antibody in COVID-19 Patients in Bangladesh Is not Correlated with Previous Dengue Infection
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Simon D. Lytton, Mahmuda Yeasmin, Asish Kumar Ghosh, Md. Rakibul Hassan Bulbul, Md. Maruf Ahmed Molla, Martha Herr, Helmut Duchmann, Md. Mohiuddin Sharif, Tasnim Nafisa, Md. Robed Amin, Nur Hosen, Md. Tanvir Rahman, Sumaiya Islam, Alimul Islam, and Abul Khair Mohammad Shamsuzzaman
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COVID-19 ,dengue fever ,SARS-CoV-2 ,N-protein ,DENV ,IgG ,Medicine - Abstract
Background: The assessment of antibody responses to severe acute respiratory syndrome coronavirus-2 is potentially confounded by exposures to flaviviruses. The aims of the present research were to determine whether anti-dengue antibodies affect the viral load and the detection of anti-coronavirus nucleocapsid (N)-protein antibodies in coronavirus infectious disease 2019 (COVID-19) in Bangladesh. Methods: Viral RNA was evaluated in swab specimens from 115 COVID-19 patients by real-time reverse transcription polymerase chain reaction (rT-PCR). The anti-N-protein antibodies, anti-dengue virus E-protein antibodies and the dengue non-structural protein-1 were determined in serum from 115 COVID-19 patients, 30 acute dengue fever pre-COVID-19 pandemic and nine normal controls by ELISA. Results: The concentrations of viral RNA in the nasopharyngeal; Ct median (95% CI); 22 (21.9–23.3) was significantly higher than viral RNA concentrations in oropharyngeal swabs; and 29 (27–30.5) p < 0.0001. Viral RNA concentrations were not correlated with-dengue IgG levels. The anti-nucleocapsid antibodies were IgA 27% positive and IgG 35% positive at days 1 to 8 post-onset of COVID-19 symptoms versus IgA 0% and IgG 0% in dengue patients, p < 0.0001. The levels of anti- nucleocapsid IgA or IgG versus the levels of anti-dengue IgM or IgG revealed no significant correlations. Conclusions: Viral RNA and anti-nucleocapsid antibodies were detected in COVID-19 patients from dengue-endemic regions of Bangladesh, independently of the dengue IgG levels.
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- 2021
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11. A novel butterfly-shaped core mode-based asymmetric slotted sensor for ultra-high sensitivity in sucrose concentration detection
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Mustafiz, Md.Sen Bin, Rahman, Md.Arafat, Tasnim, Nafisa, and Ahmed, Tanvir
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- 2024
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12. Brain MRI Classification for Alzheimer’s Disease Based on Convolutional Neural Network
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Saiful, Md., Saha, Arpita, Mim, Faria Tabassum, Tasnim, Nafisa, Reza, Ahmed Wasif, Arefin, Mohammad Shamsul, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Vasant, Pandian, editor, Shamsul Arefin, Mohammad, editor, Panchenko, Vladimir, editor, Thomas, J. Joshua, editor, Munapo, Elias, editor, Weber, Gerhard-Wilhelm, editor, and Rodriguez-Aguilar, Roman, editor
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- 2023
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13. Highly sensitive photonic crystal fiber based surface plasmon resonance biosensor for detection of wide range of organic solutions
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Tasnim, Nafisa, Rahman, Md. Arafat, Rahman, Md. Rifat, and Ahmed, Tanvir
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- 2024
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14. Brain MRI Classification for Alzheimer’s Disease Based on Convolutional Neural Network
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Saiful, Md., primary, Saha, Arpita, additional, Mim, Faria Tabassum, additional, Tasnim, Nafisa, additional, Reza, Ahmed Wasif, additional, and Arefin, Mohammad Shamsul, additional
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- 2023
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15. A Review of Machine Learning Approaches for the Personalization of Amplification in Hearing Aids
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Tasnim, Nafisa Zarrin, primary, Ni, Aoxin, additional, Lobarinas, Edward, additional, and Kehtarnavaz, Nasser, additional
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- 2024
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16. A High-Sensitivity Surface Plasmon Resonance Sensor Utilizing a Butterfly-Shaped Core for Ethanol Concentration Detection
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Tasnim, Nafisa, primary, Rahman, Md. Arafat, additional, Rifat Rahman, Md., additional, Ahmed, Tanvir, additional, and Faruk, Omar, additional
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- 2023
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17. Factors affecting students’ satisfaction with food intake: a study on residential halls (hostels) of Dhaka University
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Tasnim, Nafisa, primary and Patwary, Md. Sazzad Hossain, additional
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- 2023
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18. Modeling of a battery driven three-wheeler electric vehicle in Bangladesh by using MATLAB-Simulink.
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Tasnim, Nafisa, Asadouzzaman, Md., and Bhuiyan, Md. Abdul Aziz
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FOSSIL fuels , *AIR pollution , *PRICE increases , *PASSENGER traffic - Abstract
Because of rising air pollution, the depletion of fossil fuels, and the current fuel price increase, there is widespread interest in electric vehicles (EVs). The modeling and simulation of EVs have grown in popularity in order to better understand their performance and produce a more efficient model. In recent years, electric vehicles also have gained popularity in Bangladesh. For more than a decade, three-wheeled battery-powered electric vehicles known as "Easybikes" have been used to transport passengers in Bangladesh, and the number is growing by the day. The MATLAB-Simulink tool was used in this study to create a system-level model of a three-wheeled battery-powered Electric Vehicle. The vehicle's performance, such as speed, torque, power, and energy, was measured over time using various parameters. The system-level block simulation revealed that the vehicle power consumption was 2∼2.5 kWh with the new European Driving Cycle (NEDC) (Cycle time-3.5 hrs.) and 0.9∼1.2 kWh with the New York City Cycle (NYCC) (Cycle time-3.5 hrs.) depending on load. After 3.5 hours of runtime with various total vehicle weights and the vehicle's State of Charge (SoC) is 48.7 V∼23.3 V with NEDC and 56.3 V∼55.1 V with NYCC. This study aims to lay the groundwork for future research and development of battery-powered three-wheeler EVs. [ABSTRACT FROM AUTHOR]
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- 2023
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19. Development of a Smartphone App for Lane Departure Warning
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Tasnim, Nafisa, primary, Zaman, Attiq, additional, and Hayee, M., additional
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- 2023
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20. Demographic Characteristics of 1082 Positive Cases of COVID-19 Patients: Experience at National Referral Laboratory of Bangladesh
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Akm Shamsuzzaman, M. K. Zahan Ali, Abdullah Al-Mamun, M. A. A. Zubayer Khan, Mahmuda Yeasmin, M. M. Ahmed Molla, Mohammed Yusuf, Shaikh Badiuzzaman, T. H. M. E. Ullah Khan, Arifa Akram, M. N. Tarana, Tasnim Nafisa, M. B. Bin Monir, and Sunzida Arina
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Infectivity ,Age differences ,Coronavirus disease 2019 (COVID-19) ,Age groups ,Referral ,business.industry ,Medicine ,General Medicine ,business ,Demography - Abstract
Background: COVID-19 has now become a pandemic. Objective: The aim of this study was to characterize the demographic features with infection rate of SARS-CoV-2 in 4/5 divisions of Bangladesh. Methodology: This cross-sectional study was conducted at National institute of Laboratory Medicine and Referral Center, Dhaka, Bangladesh from 15th April to 30th April, 2020. It was performed RT-PCR for 2462 cases within the time frame and 1082 samples were positive for SARS CoV-2. Patient demographic characteristics including age, gender, occupation and blood group was investigated. Results: The mean age of positive cases was 40.2 ± 15.33 years, 426 (39%) cases were 25-39 years of age. The majority of cases were male (71%) and the predominant blood group was B positive (37%). Conclusions: In conclusion male gender, younger age and blood group B positive are more commonly suffering from COVID-19 infection. Bangladesh Journal of Infectious Diseases, October 2020;7(suppl_2):S22-S26
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- 2020
21. Evidences on Irrational Anti-Microbial Prescribing and Consumption among COVID-19 Positive Patients and Possible Mitigation Strategies: A Descriptive Cross Sectional Study
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Tasnim Nafisa, Mahmuda Yeasmin, Arifa Akram Barna, Asish Kumar Ghosh, Maruf Ahmed Molla, and Monira Parveen
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Consumption (economics) ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Cross-sectional study ,Environmental health ,Medicine ,General Medicine ,business - Abstract
Background: Increased antimicrobial consumption has increased the burden on worsening situation of antimicrobial resistance throughout the world. Objective: The purpose of this study was to assess the practice of irrational antibiotic prescribing and consumption among COVID-19 positive patients of Bangladesh and its possible impact on existing AMR. Methodology: This was a cross-sectional study conducted among SARS-CoV-2 positive patients from a tertiary COVID-19 PCR testing center in Dhaka between 10th July 2020 and 20th July 2020. A validated questionnaire was used to gather data. Ethical approval was obtained. A total of 100 participants through random sampling was selected. Results: A total of 100 COVID-19 RT-PCR positive patients were participated in this study: 96% had mild symptoms, fever (81.0%) was the most common presenting symptoms, 45.0% patients did not consult with physicians even after knowing their positive test results and reported self medicating with antibiotics, and 36.0% were treated with multiple antibiotics and antiviral at a time. Azithromycin (46.0%), Ivermectin (22.0%) and doxycycline (21.0%) were the antibiotics most used, which were mainly obtained from local retail pharmacies. Conclusion: Practice of irrational antibiotic prescribing and self medication is relatively high among COVID-19 positive participants. Bangladesh Journal of Infectious Diseases, October 2020;7(suppl_2):S3-S7
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- 2020
22. A Review on D 614G Mutation with Bangladesh Scenario
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Tasnim Nafisa, Md. Maruf Ahmed Molla, Mohammad Jahidur Rahman Khan, Arifa Akram, Md. Bayzid Bin Monir, Md. Reaz Uddin Chowdhury, and Mahmuda Yeasmin
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Infectivity ,General Energy ,Mortality rate ,Intensive care ,Pandemic ,Biology ,Vaccine efficacy ,Virology ,Viral load ,Transmissibility (vibration) ,Virus - Abstract
With the COVID-19 pandemic, disparities between the infection rate and death rate in different countries become a major concern. In some countries, lower mortality rate compared to others can be explained by better testing capacity and intensive care facilities. Complete SARS-CoV-2 genome sequences from different countries of the world are continually submitted to Global Initiative for Sharing All Influenza Data using Next Generation Sequencing method. A SARS-CoV-2 variant with a D 614G Mutation in the spike (S) protein has become the most dominant form in the global pandemic. There are a number of ongoing studies trying to relate this mutation with the infectivity, mortality, transmissibility of the virus and its impact on vaccine development. This review aims to accumulate the major findings from some of these studies and focus its future implication. Some studies suggested D 614G strain has increased binding capacity, it affects more cells at a faster rate, so has a high transmissibility. Patients infected with this strain were found with high viral load. But still now there is no such evidence that this strain produces more severe disease as well as increased mortality. The structural change of spike protein produced by D 614G mutation was minor and did not hamper the vaccine efficacy. Some studies showed antibodies produced against D614 strain can neutralize G614 strain and vice versa. Whenever a mutation occurs in spike protein there are always chances of affecting the infectivity, transmissibility, vaccine efficacy. Therefore, more studies are required to find out the overall effect of D 614G mutation.
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- 2020
23. Genome Sequencing of the SARS-CoV-2 Delta (B.1.617.2) Variant of Concern Detected in Bangladesh
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Mahmuda Yeasmin, Abu Sayeed Mohammad Mahmud, Barna Goswami, Arifa Akram, Mohammad Mohi Uddin, Eshrar Osman, Tanjina Akhtar Banu, Iffat Jahan, Tasnim Nafisa, M. Ahashan Habib, M. Salim Khan, Mohammad Samir Uzzaman, Shahina Akter, Maruf Ahmed Molla, and Murshed Hasan Sarkar
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Delta ,Whole genome sequencing ,Phylogenetic tree ,Transmission (medicine) ,viruses ,Strain (biology) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Genome Sequences ,virus diseases ,Biology ,Virology ,DNA sequencing ,Immune system ,Immunology and Microbiology (miscellaneous) ,Genetics ,Molecular Biology - Abstract
We report the near-complete genome sequence and phylogenetic analysis of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta variant (B.1.617.2) strain. This variant is associated with increased transmission and immune evasion.
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- 2021
24. Malware Detection Using Neural Networks
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Hossain, Humaira, primary, Kayum, Syed Irfan, additional, Paul, Arja, additional, Rohan, Alim Aldin, additional, Tasnim, Nafisa, additional, and Hossain, Muhammad Iqbal, additional
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- 2021
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25. Molecular and Serological Characterization of the SARS-CoV-2 Delta Variant in Bangladesh in 2021
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Arifa Akram, Alimul Islam, Tasnim Nafisa, Robed Amin, Nur Hosen, Rashid Mamunur, Marco Kaiser, Maruf Ahmed Molla, Ehsanul Hoque, Mohiuddin Sharif, Olfert Landt, Rifat Hossain Ratul, Simon D. Lytton, Mahmuda Yeasmin, and Asish Kumar Ghosh
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Lineage (genetic) ,delta variant ,anti-N-protein IgG ,RT-PCR ,Alpha (ethology) ,Single-nucleotide polymorphism ,Genome, Viral ,Biology ,Antibodies, Viral ,medicine.disease_cause ,Microbiology ,Article ,Melting curve analysis ,anti-S-protein IgG ,Serology ,single nucleotide polymorphism ,Virology ,medicine ,Coronavirus Nucleocapsid Proteins ,Humans ,Mutation ,Bangladesh ,SARS-CoV-2 ,COVID-19 ,sequencing ,Viral Load ,Phosphoproteins ,QR1-502 ,Vaccination ,Cross-Sectional Studies ,Infectious Diseases ,Spike Glycoprotein, Coronavirus ,amino acid mutations ,VirSNiP ,Viral load - Abstract
Novel SARS-CoV-2 variants are emerging at an alarming rate. The delta variant and other variants of concern (VoC) carry spike (S)-protein mutations, which have the potential to evade protective immunity, to trigger break-through infections after COVID-19 vaccination, and to propagate future waves of COVID-19 pandemic. To identify SARS CoV-2 variants in Bangladesh, patients who are RT-PCR-positive for COVID-19 infections in Dhaka were screened by a RT-PCR melting curve analysis for spike protein mutations. To assess the anti-SARS CoV-2 antibody responses, the levels of the anti-S -proteins IgA and IgG and the anti-N-protein IgG were measured by ELISA. Of a total of 36 RT-PCR positive samples (75%), 27 were identified as delta variants, with one carrying an additional Q677H mutation and two with single nucleotide substitutions at position 23029 (compared to Wuhan-Hu-1 reference NC 045512) in the genome sequence. Three (8.3%) were identified as beta variants, two (5.5%) were identified as alpha variants, three (8.3%) were identified as having a B.1.1.318 lineage, and one sample was identified as an eta variant (B.1.525) carrying an additional V687L mutation. The trend of higher viral load (lower Cp values) among delta variants than in the alpha and beta variants was of borderline statistical significance (p = 0.045). Prospective studies with larger Bangladeshi cohorts are warranted to confirm the emergence of S-protein mutations and their association with antibody response in natural infection and potential breakthrough in vaccinated subjects.
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- 2021
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26. Genome sequencing and genetic characterization of 17 SARS-CoV-2 viruses and spike protein analyses of isolates from Bangladeshi patients
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Abu Sayeed Mohammad Mahmud, Mohammad Samir Uzzaman, Iffat Jahan, Mahmuda Yeasmin, Shahina Akter, Tanjina Akhtar Banu, Maruf Ahmed Molla, Barna Goswami, Murshed Hasan Sarkar, Tasnim Nafisa, Ahashan Habib, Eshrar Osman, and S Khan
- Subjects
Genetics ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Spike Protein ,Biology ,DNA sequencing - Abstract
To better comprehend the genetic epidemiology of SARS-CoV-2, we utilized NextSeq 550 to conduct whole-genome sequencing of certain samples in Bangladesh. The samples were taken from the nasopharyngeal swabs of 17 persons who had tested positive for COVID-19 using RT-PCR. Following the sequencing, the data was uploaded to the GISAID database and evaluated by comparing their nucleotide alterations to the Wuhan SARS-CoV-2 reference genome. Based on phylogenetic and mutation studies, it was shown that 88% belong to the pangolin lineage B.1.1.25, whereas 11% corresponds to its parent lineage B.1.1. We also compared the spike protein sequences of two isolates (BCSIR-NILMRC-422 and BCSIR-NILMRC-424) to the reference genome and observed two mutations including, D614G and P681R, at positions 614 and 681, respectively. Although D614G being the most frequent, not present in every isolate. Using standard mode studies, we also looked at molecular dynamics and discovered that this SNP reduces the S1 domain's flexibility. This finding suggests that the P681R mutation is a distinguishing feature of this novel voice of concern’s virological profile, which may be linked to viral pathogenicity in Bangladeshi patients.
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- 2021
27. <scp>HIV</scp> ‐1 molecular epidemiology in Bangladesh: A systematic review
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K. M. Saif-Ur-Rahman, Md. Khairul Islam, Mahmuda Yeasmin, Tasnim Nafisa, Asish Kumar Ghosh, and Md. Maruf Ahmed Molla
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medicine.medical_specialty ,prevalence ,Population ,Human immunodeficiency virus (HIV) ,Reviews ,Review ,Biology ,medicine.disease_cause ,molecular epidemiology ,systematic review ,Epidemiology ,medicine ,Infected population ,education ,South east asian ,Bangladesh ,education.field_of_study ,Molecular epidemiology ,Transmission (medicine) ,subtypes ,HIV‐1 ,Female sex ,General Medicine ,Medicine ,Demography - Abstract
Background and Aims It is postulated that molecular methods along with mathematical modeling can provide critical inference regarding epidemiological parameters, transmission dynamics, spatiotemporal characteristics, and intervention efficacy. Hence, studying molecular epidemiology of human immunodeficiency virus (HIV)‐1 infection, especially in resource‐limited settings and with a large diaspora of the migrant population such as that of Bangladesh, is of paramount importance. The purpose of this systematic review was to concisely present and discuss the findings from previous studies conducted in Bangladesh regarding HIV‐1 subtype prevalence. Methods Articles were retrieved from six publicly available databases regarding HIV‐1 molecular epidemiology using keywords HIV, HIV‐1, subtype(s), Bangladesh, and any combination of aforementioned keywords using Boolean operators. A total of 14 articles were downloaded and screened for suitability. Finally, five studies, containing pooled sequences from 317 individuals, were included in this systematic review. Results Results revealed a preponderance of subtype C among HIV‐1 infected population (51.10%), followed by circulating recombinant form (CRF)_07BC (15.46%), CRF_01AE (5.68%), A1 (4.73%), CRF_02AG (3.47%), G (3.15%), CRF_62BC (2.84%), B (2.21%), and other subtypes and recombinant forms in small percentages. Subtype C was largely predominant in intravenous drug users as well as female sex workers, whereas the migrant population exhibited a diverse subtype including rare recombinant forms, largely due to their travel in the Middle East and other South East Asian countries. Conclusion With the number of HIV‐1 infections increasing among the general population and a steady increase in the migrant population, molecular epidemiological data are required to curb the progression of the HIV‐1 epidemic in Bangladesh.
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- 2021
28. Knowledge, attitude and practices toward COVID-19 among healthcare workers in National Institute of Laboratory Medicine and Referral Center, Dhaka, Bangladesh
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Abu Mamun, Shahin Mahmud, Tasnim Nafisa, Maruf Ahmed Molla, Bayzid Bin Monir, Mahmuda Yeasmin, Arifa Akram, Jahurul Islam, and Akm Shamsuzzaman
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medicine.medical_specialty ,Hand washing ,Coronavirus disease 2019 (COVID-19) ,business.industry ,media_common.quotation_subject ,Medical laboratory ,Systematic sampling ,Hygiene ,Family medicine ,Pandemic ,Health care ,medicine ,Social media ,business ,media_common - Abstract
Background: The World Health Organization (WHO) declared COVID-19 as a pandemic on the 11th of March 2020. Since then, many efforts are being carried out to contain the virus. Knowledge and attitude of people should be directed towards strict preventive practices in order to halt the spread of the virus. The aim of the current cross-sectional study is to assess the knowledge, practice and attitude of healthcare workers (HCWs) of National Institute of Laboratory Medicine and Referral Centre, Dhaka, Bangladesh using a structured questionnaire. Methods: A cross-sectional study among 139 healthcare persons was performed between April 2020 and May 2020 at National Institute of Laboratory Medicine and Referral Centre. A systematic random sampling strategy was carried out and the data was collected through a self-administered questionnaire of the knowledge, attitude and practice of healthcare workers regarding COVID-19. Results: About 87.2% of eligible subjects completed and returned the questionnaire had a mean age of (30.1±6.1) years, most of them were male (75.53%), the highest percentage of HCWs were medical technologists (53.23%) and the majority of them had less than 5 years’ experience (45.3%). A total of 96.4 % of the respondents were aware of coughing and sneezing etiquette, 93.52% followed hand washing steps but only 70% knew the duration of the hand hygiene procedure, while 89.92% uses face mask when go outside. The main sources of COVID-19 information were social media and the CDC/WHO website (38% and 23%, respectively). Conclusions: The majority of HCWs had good knowledge and positive attitude toward COVID-19. However, the level of some knowledge and attitude lower than that expected for their position level towards the virus. So, there is a need for awareness campaigns to improve their knowledge, in some aspects.
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- 2021
29. An Efficient Dimensionality Reduction Method for the Classification of Satellite Remote Sensing Hyperspectral Images
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Islam, Md. Rashedul, primary, Siddiqa, Ayasha, primary, and Tasnim, Nafisa, primary
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- 2021
- Full Text
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30. Antibiotic Prescribing Patterns at COVID-19 Dedicated Wards in Bangladesh: Findings from a Single Center Study
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Arifa Akram, K M Saif-Ur-Rahman, Robed Amin, Tasnim Nafisa, Akm Shamsuzzaman, Mahmuda Yeasmin, Maruf Ahmed Molla, Monira Parveen, Syed Jafar Raza Rizvi, Junaid Abdullah Jamiul Alam, Khairul Islam, Asish Kumar Ghosh, Masum Hossain Arif, and Mohiuddin Sharif
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medicine.medical_specialty ,Bangladesh ,medicine.drug_class ,business.industry ,SARS-CoV-2 ,Antibiotics ,Short Report ,COVID-19 ,Guideline ,Infectious and parasitic diseases ,RC109-216 ,Antimicrobial resistance ,Meropenem ,Exact test ,Antibiotic resistance ,Moxifloxacin ,Internal medicine ,medicine ,Ceftriaxone ,Medical prescription ,Point prevalence survey ,Public aspects of medicine ,RA1-1270 ,business ,medicine.drug - Abstract
Summary Background As evidence is mounting regarding irrational and often unnecessary use of antibiotics during the COVID-19 pandemic a cross-sectional Point Prevalence Survey (PPS) (in accordance with WHO guideline) was conducted across COVID-19 dedicated wards in Dhaka Medical College and Hospital (DMCH). Methodology Antibiotic usage data were collected from 193 patients at different COVID-19 dedicated wards at DMCH on 11 June 2020. Comparisons in antibiotic usage were made between different groups using Pearson chi-square and Fisher's exact test. Result Findings reveal all surveyed patients (100%) were receiving at least one antibiotic with 133 patients (68.91%) receiving multiple antibiotics. Overall, patients presenting with the severe disease received more antibiotics. Third-generation cephalosporins (i.e. ceftriaxone) (53.8%), meropenem (40.9%), moxifloxacin (29.5%), and doxycycline (25.4%) were the four most prescribed antibiotics among surveyed patients. Diabetes mellitus (DM) was independently associated with multiple antibiotic prescribing. Abnormal C-reactive protein (CRP) and serum d-dimer were linked with higher odds of multiple antibiotic prescribing among study patients. Conclusion Prevalence of multiple antibiotic prescriptions was high among severely ill patients and those with abnormal CRP and d-dimer levels. Data regarding the quality of antibiotic prescribing were lacking.
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- 2021
31. SARS-CoV-2 Infection Reduces Human Nasopharyngeal Commensal Microbiome With Inclusion of Pathobionts
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Md. Nazmul Hoque, Md. Murshed Hasan Sarkar, M. Shaminur Rahman, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, M. Saddam Hossain, A. K. Mohammad Shamsuzzaman, Tasnim Nafisa, M. Maruf Ahmed Molla, Mahmuda Yeasmin, Asish Kumar Ghosh, Eshrar Osman, Mohammad Samir Uzzaman, Md Ahashan Habib, Abu Sayeed Mohammad Mahmud, Keith A Crandall, Tofazzal Islam, and M. Salim Khan
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Pathogenic bacteria ,Biology ,biology.organism_classification ,medicine.disease ,medicine.disease_cause ,Microbiology ,Prevotella melaninogenica ,Metagenomics ,medicine ,Sample collection ,Microbiome ,Neisseria subflava ,Dysbiosis ,Veillonella dispar - Abstract
Background The SARS-CoV-2 primarily enters into the human body through nasopharyngeal tract (NT) and is the etiological agent of COVID-19. The microbiota of the NT may play a role in host immunity against respiratory infectious diseases. However, scant information is available on interactions of SARS-CoV-2 with the nasopharyngeal microbiome. To shed light on the effects and consequences of SARS-CoV-2 infection on microbiome diversity and composition, we conducted a high throughput RNA-Seq metagenomic investigation of 22 NT swab samples (including COVID-19 = 8, Recovered = 7, and Healthy = 7). Results This study for the first time demonstrates the association of microbiome diversity and their concomitant genomic features in the NT of COVID-19 and Recovered patients compared to Healthy humans, and discusses the role of the altered microbiomes in the pathophysiology of the SARS-CoV-2 infections. Our RNA-Seq metagenomic analyses detected 2281 bacterial species (including 1477, 919 and 676 in samples of Healthy human, COVID-19 and Recovered patients, respectively) indicating a distinct microbiome dysbiosis (COVID-19>Recovered>Healthy). The samples from COVID-19 patients and Recovered individuals had inclusion of 67% (including Streptococcus salivarius, S. mitis, Neisseria subflava, Veillonella dispar, Acinetobacter junii, Prevotella melaninogenica etc.) and 77% (including Pseudomonas stutzeri, Staphylococcus capitis, S. epidermidis, P. mendocina, Moraxella osloensis, A. indicus, Escherichia coli etc.) opportunistic pathogenic bacteria, respectively compared to Healthy individuals. Notably, 79% commensal bacteria (e.g., Pseudomonas sp. LPH1, Brevundimonas sp. Bb-A, P. oleovorans, Pseudomonas sp. phDV1, Brevundimonas sp. DS20, Idiomarinaceae bacterium HL-53, Alishewanella sp. 205, Sphingobacterium psychroaquaticum etc.) were found in healthy individuals but not detected in COVID-19 patients and Recovered individuals. Similar dysbiosis was also found in viral and archaeal fraction of the microbiomes. Although, 55 viral and 48 archaeal genera were detected, only 16% viral and 27% archaeal genera were shared across three metagenomes. We also detected altered metabolic pathways and functional genes including resistance to antibiotics and toxic compounds in the pathophysiology of COVID-19.Conclusions The nasopharyngeal microbiome dysbiosis and their genomic features in COVID-19, Recovered and Healthy individuals determined by our RNA-Seq analyses shed light on early interactions of SARS-CoV-2 with the nasopharyngeal resident microbiota that might be helpful for developing microbiome-based diagnostics and therapeutics for this novel pandemic disease.
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- 2021
32. Coding-Complete Genome Sequences of Three SARS-CoV-2 Strains from Bangladesh
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Shahina Akter, Mahmuda Yeasmin, Eshrar Osman, Tasnim Nafisa, Sheikh M. Selim Al Din, Salek Ahmed Sajib, Maqsud Hossain, M. Salim Khan, Mohammad Samir Uzzaman, Abu Sayeed Mohammad Mahmud, M. Saddam Hossain, Barna Goswami, Iffat Jahan, Tanjina Akhtar Banu, Maruf Ahmed Molla, Utpal Chandra Ray, M. Ahashan Habib, M. Murshed Hasan Sarker, Asish Kumar Ghosh, and A. K. Mohammad Shamsuzzaman
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2019-20 coronavirus outbreak ,Molecular level ,Immunology and Microbiology (miscellaneous) ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Mutation (genetic algorithm) ,Genetics ,virus diseases ,Computational biology ,Biology ,Molecular Biology ,Genome - Abstract
We report the sequencing of three severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Bangladesh. We have identified a unique mutation (NSP2_V480I) in one of the sequenced genomes (isolate hCoV-19/Bangladesh/BCSIR-NILMRC-006/2020) compared to the sequences available in the Global Initiative on Sharing All Influenza Data (GISAID) database. The data from this analysis will contribute to advancing our understanding of the epidemiology of SARS-CoV-2 in Bangladesh as well as worldwide at the molecular level and will identify potential new targets for interventions.
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- 2020
33. Performance Analysis of Different Decision Tree Based Methods for Identifying Drop Out Students
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Tasnim, Nafisa, primary, Kumar Paul, Mahit, additional, and Sarowar Sattar, A. H. M., additional
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- 2019
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34. Identification of Drop Out Students Using Educational Data Mining
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Tasnim, Nafisa, primary, Paul, Mahit Kumar, additional, and Sattar, A. H. M. Sarowar, additional
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- 2019
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35. Sodium Channel Inhibitors Reduce DMPK mRNA and Protein
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Witherspoon, Luke, primary, O'Reilly, Sean, additional, Hadwen, Jeremiah, additional, Tasnim, Nafisa, additional, MacKenzie, Alex, additional, and Farooq, Faraz, additional
- Published
- 2015
- Full Text
- View/download PDF
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