Barriers to achieving sustainability in pharmaceutical supply chains in the post-COVID-19 era

Purpose - The recent pandemic caused by coronavirus disease 2019 (COVID-19) has significantly impacted the operational performances of pharmaceutical supply chains (SCs), especially in emerging economies that are critically vulnerable due to their inadequate resources. Finding the possible barriers that continue to impede the sustainable performance of SCs in the post-COVID-19 era has become essential. This study aims to investigate and analyze the barriers to achieving sustainability in the pharmaceutical SC of an emerging economy in a bid to help decision-makers recognize the most influential barriers. Design/methodology/approach - To achieve the goals, two decision-making tools are integrated to analyze the most critical barriers: interpretive structural modeling (ISM) and the matrix of cross-impact multiplications applied to classification (MICMAC). In contrast to other multi-criteria decision-making (MCDM) approaches, ISM develops a hierarchical decision tool for decision-makers and cluster analysis of the barriers using the MICMAC method based on their driving and dependency powers. Findings - The findings reveal that the major barriers are in a four-level hierarchical relationship where "Insufficient SC strategic plans to ensure agility during crisis" acts as the most critical barrier, followed by "Poor information structure among SC contributors," and "Inadequate risk management policy under pandemic." Finally, the MICMAC analysis validates the findings from the ISM approach. Originality/value - This study provides meaningful insights into barriers to achieving sustainability in pharmaceutical SCs in the post-COVID-19 era. The study can help pharmaceutical SC practitioners to better understand what can go wrong in post-COVID-19, and develop actionable strategies to ensure sustainability and resilience in practitioners' SCs.

An integrated framework for digitalization of humanitarian supply chains in post COVID-19 era

Digital Supply Chains (DSCs) are transforming industries across various domains. Digitalization can improve coordination, increase data collection and retention capacities, enhance funding mechanisms, and improve operational performance and resource utilization. However, DSC adoption is constrained by lack of funding, operational complexities, infrastructure issues, etc. Thus, the need emerges to explore the digitalization of the Humanitarian Supply Chain (HSC) and provide solutions that can ease the adoption of DSC. In this study, a framework is created to facilitate the digitalization process of HSC in post COVID-19 era. Nineteen related drivers are identified with the potential to digitalize the HSC. The drivers are identified from the previous literature and finalized with the assistance of HSC stakeholders. A Principal Component Analysis is carried out to discover the most pertinent drivers from the identified list of drivers. A Kappa analysis is adopted to perfect the priority map of the digitalization drivers. Further, the neutrosophic DEMATEL methodology is adopted to prioritize the potential drivers and find their dependency on each other. The results from the study indicate that the most influential drivers fall under the operational and technological categories. However, the social drivers have the potential to play a significant contribution in an effort to HSC digitalization. In addition, the study presents strategies for enhancing funds collection and data management using emerging technologies. These strategies can assist HSC decision-makers in formulating relevant policies and strategic interventions. © 2023 Elsevier Ltd

Assessing strategies to mitigate the impacts of a pandemic in apparel supply chains

The COVID-19 pandemic has taught global businesses that a pandemic can put business dynamics in unforeseeable turbulence. The disruptions created by the pandemic in the apparel industry exposed the vulnerabilities of apparel supply chains (SCs). To recover the supply chain impacts (SCIs) during an unprecedented event such as the COVID-19 pandemic, apparel SCs need a robust framework that can identify, measure, and mitigate the severity of SCIs by assessing effective mitigation strategies. This study identifies 12 critical SCIs in apparel SCs during a pandemic and 17 mitigation strategies. To assess SCIs and mitigation strategies, a modified grey-based bi-level analytical network process (ANP) is proposed to deal with the complex relationship between the SCIs and mitigation strategies. A real-life case study is conducted from an apparel supply chain for validation purposes. The findings suggest that policymakers in apparel SCs should prioritize implementing government policies and financial aid to deal with increased material and operational costs, the sudden surge in the unemployment rate, cancellation of orders and delayed payment, and increased transportation costs during a pandemic. This study also contributes to the literature by providing a robust decision-making framework for practitioners to deal with the complexity of SCs during future pandemics.

Sustaining circular economy practices in supply chains during a global disruption

PurposeCircular economy (CE) practices are critical to achieving sustainable development goals. However, the recent global disruption caused by the COVID-19 pandemic has significantly impacted sustainable practices. The literature shows a significant research gap in analyzing factors that sustain CE practices in supply chains during a global disruption. This study fills the research gap by developing a mix-method approach to analyze factors for sustaining CE practices during a global disruption.Design/methodology/approachTo fulfill the objectives of this study, the list of factors that sustain CE practices was first identified by conducting a literature review and finalized through an expert opinion survey. The survey finalized 18 different factors for sustaining CE practices. The finalized factors were further analyzed using the grey decision-making trial and evaluation laboratory (DEMATEL) method. The quantitative analysis confirmed the priority of the factors and their cause-and-effect relationships.FindingsThe results revealed that continued stakeholder pressure, retention of CE and sustainability culture, continued implementation of cleaner technology, feedback system and ongoing CE training for resilience issues are the top five factors that sustain CE practices during a global disruption. The study also revealed ten factors as belonging to the cause group and eight to the effect group.Originality/valueThis study contributes to the literature by exploring factors for sustaining CE practices during a global disruption. Moreover, the study's findings are important in real-life situations, as decision-makers can use the findings to formulate strategies for sustaining CE practices during future global disruptions.

Managing panic buying-related instabilities in supply chains: A COVID-19 pandemic perspective

Global supply chains (SCs) have been severely impacted by the COVID-19 pandemic on several levels. For example, SCs suffered from panic buying-related instabilities and multiple disruptions of supply, demand, and capacity during the pandemic. This study developed an agent-based model (ABM) to predict the effects of panic buying-related instabilities in SCs and offered strategies to improve them. The ABM model includes a simulation and optimization model of a typical SC of an essential product manufacturer (i.e., toilet paper SC) for the analysis of scenarios and strategies to observe improvements in SCs. Among the four strategies identified, the findings suggest boosting production capacity to the maximum and ensuring optimal reorder points, order sizes, and trucks helped the essential product manufacturers reduce panic buying-related instabilities in their SCs. Copyright (C) 2022 The Authors.

Reconfigurable Strategies to Manage Uncertainties in Supply Chains Due to Large-Scale Disruptions

Global supply chains have been facing severe disruptions for the last decade. Large-scale disruptions are imposing unknown risks across the supply chain networks. These types of risks are unpredictable to assume the complexity, timing, and location of the occurrence and its simultaneously happening as businesses are challenged to operate in a volatile, uncertain, complex, and ambiguous (VUCA) environment. The COVID-19 pandemic has drastically disrupted the global supply chains, the impact of which is yet to know. Due to the time-to-time lockdown, shutdown, and border closure, global supply chains faced supplier failure, production capacity degradation, restrictions in transportations, and lack of sufficient inventory to meet the extra demand of the essential products. On the other hand, those manufacturers involved in producing luxury and low-demand products faced a huge demand fall. As a result of this, they struggled to continue their business. The long-established supply chains have been unable to manage large-scale supply chain disruptions caused by the COVID-19 pandemic. This study, thus, aimed to understand the uncertainties in supply chains in the wake of large-scale disruptions and to figure out the implications of reconfigurable strategies to manage uncertainties in supply chains due to large-scale disruption. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Community Engagement in the Telehealth Service for Aged People with Diabetes: Covid-19 Response in Bangladesh

PURPOSE: The purpose of this study is to present a better understanding of the specialized telehealth service in Bangladesh from the service provider and service recipients by aged people METHOD: Both quantitative and qualitative methods were used to collect data from Diabetes Mellitus (DM) patients. Data were collected by online telephone interviewing with an interview schedule. A total of 100 aged people with diabetes were selected purposively for a quantitative interview and 10 In-depth Interviews (IDIs) & Key Informant Interviews (KIIs) were conducted. RESULT: The majority of patients aged was between 61 to 68 years with a mean age of 63.6 +/- 7.01years. The difference of age of DM patients by sex was found statistically significant (x2 = 39.49, df = 31;Cramer's V = .032;P=<.003). The main source of information about digital health was: relatives (55%), neighbors (31%), television (12%), newspaper (10%), social media (9%), and healthcare providers (6%). Strong relationship was found between age of respondents and sources of information (x2= 77.08;Cramer's V= .032, df = 13;Sig;P= < .009). About 59% of DM patients were benefited from telehealth services during COVID-19, however;they encountered some difficulties like effective access to digital technology, cost, and diagnosis facilities. About 83% of respondents suggest formalizing community engagement programs to extend the digital health services during a health emergency. The common barriers to the engagement of community people in digital health care are lack of social awareness, lack of peer group support, and gender disparities. Poor counseling, language barrier, bad internet signal, and lack of family members' support were the key barriers during teleconsultation services. CONCLUSION: Telehealth has the potential to address critical health issues of aged people and effective community engagement may be the best option to reach older people with diabetes in Bangladesh during any health emergency.

A Public Learning Platform for Democratizing Higher Education

In this era of globalization, it is easy to share and disseminate knowledge due to the rapid evolution in technology. With the continuous development of IT, possibility of innovative and effective environment for teaching and learning, thus redefining the educational processes has been created. Due to recent COVID-19 situation, e-learning platforms are considered as one of the most effective mediums of delivering education. Specially, we find in Bangladesh even the schools are adopting e-learning platforms. However, our educational institutes are in very early stage of adopting such technologies. The purpose of this paper is to perform detailed analysis and examine the problems of the existing educational system, and to propose a feasible e-learning solution via Government regulated Learning Management System (LMS) that could offer affordable and easy access to higher education. The paper includes the benefits of implementing such a system with respect to the stakeholders involved along with preliminary planning and analysis and ends by acknowledging the limitations of the study.. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Key performance indicators for a sustainable recovery strategy in health-care supply chains: COVID-19 pandemic perspective

Purpose: Supply chains’ (SCs’) sustainability practices and recovery strategies are attaining popularity in academia and industries to improve the resilience of the SCs and to manage large-scale disruptions. The global pandemic caused by the COVID-19 has raised the question of the sustainability of essential health-care products’ SCs of Bangladesh. It is an essential avenue for making the life of people safe and secure. Despite its importance, most of the health-care SCs in Bangladesh are struggling to meet the demand of its nation due to capacity shortage, technological backwardness of the manufacturers, delivery capacity shortages and less advanced forecasting capabilities. Therefore, this study aims to investigate the key performance indicators (KPIs) of a sustainable recovery strategy in the context of health-care SCs considering the COVID-19 pandemic. Design/methodology/approach: This study used a dynamic method named graph theory and matrix approach to evaluate the most critical KPIs of a sustainable recovery strategy in the context of Bangladeshi health-care SCs. Findings: The result revealed that dynamic forecasting and planning with a smooth delivery and distribution support system, production capacity diversification and having alternative or multiple suppliers during extraordinary disruptions may aid in the sustainability of the health-care SCs in Bangladesh. Originality/value: This study is unique as no previous study has identified and examined the sustainable recovery strategy perspective KPIs considering the COVID-19 pandemic in the context of Bangladeshi health-care SCs. This study will also add value by guiding decision-makers of the health-care SCs of Bangladesh to adopt strategies toward the sustainability of SCs. © 2021, Emerald Publishing Limited.

Key supply chain strategies for the post-COVID-19 era: implications for resilience and sustainability

Purpose: The impacts of the novel coronavirus (COVID-19) outbreak continue to devastate supply chain operations. To attain a competitive advantage in the post-COVID-19 era, decision-makers should explore key supply chain strategies to move forward and ready their policies to be implemented when the crisis sufficiently subsides. This is a significant and practical decision-making issue for any supply chain;hence, the purpose of this study is to explore and analyse key supply chain strategies to ensure robustness and resilience in the post-COVID-19 era. Design/methodology/approach: This study conducted an expert survey targeting practitioners and academics to explore key supply chain strategies as means of moving forward in the post-COVID-19 era. Further, the key strategies were quantitatively analysed by applying the best-worst method (BWM) to determine their priority importance in the context of the manufacturing sector. Findings: The results revealed that supply chain resilience and sustainability practices could play a dominant role in this period. The findings of the study can assist supply chain decision-makers in their formulations of key strategies. Originality/value: This is the first study to investigate key supply chain strategies for the post-COVID-19 era. This study will help practitioners paying attention to resilience and sustainability practices for managing the impacts of future large-scale disruptions. © 2021, Emerald Publishing Limited.

Supply chain viability in the context of COVID-19 pandemic in small and medium-sized enterprises: implications for sustainable development goals

Purpose The recent outbreak of the coronavirus disease 2019 (COVID-19) pandemic has severely disrupted the operations of global supply chains (SCs) providing an opportunity for decision-makers to rethink and tune their existing strategies. To tackle the impacts caused by such a pandemic, this study aims to examine the contextual relations among the factors influencing supply chain viability (SCV) for achieving long-term Sustainable Development Goals (SDGs). Design/methodology/approach A decision-aid approach by integrating Pareto analysis, grey theory and total interpretive structural modeling (TISM) has been propounded. The proposed approach examines contextual relations among the factors for SCV for small and medium-sized enterprises (SMEs) in an emerging economy. This study contributes to theory, methodology and practice by exploring a new research problem in the context of the SCV and COVID-19 pandemic and by developing a new decision-aid approach. Findings The findings reveal that the creation of SC digital twin and transformation of SCs to supply networks would help the policymakers to deal with the "new normal." Also, SC crowdfunding and policy development for health protocols are critical driving factors influencing SCV. Originality/value This research work is perhaps one of few initial attempts to advance the theoretical and practical understanding of SCV and to achieve SDGs in industries following a pandemic risk.

Operational challenges during a pandemic: an investigation in the electronics industry

Purpose: The recent coronavirus disease 2019 (COVID-19) pandemic poses numerous challenges to supply chains. This pandemic is quite unique when compared to previous epidemic disruptions and has had a severe impact on supply chains. As a result, the operational challenges (OCs) caused by COVID-19 are still unknown among practitioners and academics. It is critical to comprehensively document current OCs so that firms can plan and implement strategies to overcome them. Consequently, this study systematically identifies and ranks COVID-19-related OCs. Design/methodology/approach: This study uses an integrated methodology combining expert interviews and the best-worst method (BWM) to analyze the results. The data have been collected from the electronics industry of Bangladesh, an emerging economy. This study also conducts a sensitivity analysis to check the robustness of the results. Findings: The results reveal 23 COVID-19-related OCs under five categories: sourcing, production and inventory management, demand management and distribution, return management and after-sales service, and supply chain-wide challenges. The quantitative investigation reveals that overstock in finished goods inventory, low end-customer demands, order cancellations from dealers and retailers, high inventory holding costs and lack of transportation are the top five OCs. Practical implications: The findings will help practitioners to understand the OCs and allow them to prepare for future major disruptions and formulate long-term strategies for operations during and after the COVID-19 pandemic. Originality/value: This study contributes to the literature on supply chain complexity and challenges by considering a major pandemic outbreak. Moreover, the study also contributes to the knowledge on emerging economies, which have been largely neglected in the current literature. © 2021, Emerald Publishing Limited.

Clinical Features of Covid-19 Infection: a Study of SARS-CoV-2 Positive Patients from Mymensingh Region, in Bangladesh

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread to almost every country on the globe and it is considered by World Health Organization as a pandemic. SARS-CoV-2 causes the Coronavirus disease 2019 (COVID-19). Many of country are reporting the symptomatic characteristics of their cases to give better observations into the various clinical presentations of SARS-CoV-2 infection. However, the symptomatic literature is limited in Bangladesh. The aim of the study is to analyze the symptomatic characteristics of patients having the SARS-CoV-2 positive by real time reverse transcription polymerase chain reaction (rRT -PCR) test. Here, the data of 146 patients who were positive for the SARS-CoV-2 virus and were residents of different districts of Mymensingh region were analyzed. Patients' demographics, symptoms, history of co-morbidities condition like DM, HTN, Hypothyroid etc, travel and contact were collected from MMC Daily Reported data from April 1, 2020 to April 30, 2020. Among the total 3184 patients' nasopharyngeal samples, we have got 146 (4.58%) positive for SARS-CoV-2. Of the 146 positive patients most of the patients were male 95(65%), the majority 80(54.8%) were the 21 to 40year age group. Most of the patients 61(41.78%) were residents of Mymensingh include Mymensingh Sadar, Valuka, Trishal and Ishhorganj. Among the patients 94(64.4%) were symptomatic and 52(35.6%) were asymptomatic. The symptomatic patients presented mostly were with fever 45(30.82%), cough 33(22.6%) and breathlessness 9(6.16%). The majority of patients 54(36.9%) had a history of contact with SARS-CoV-2 patients and 16(11%) had a travel history within 14 days of their rRT-PCR test positive. The only 3(2%) patients had history of comorbidities condition like DM, HTN, Hypothyroid etc. The number of SARS-CoV-2 cases is rapidly increasing in our country. The education of the population about the most common symptoms of the virus infection is needed mostly;therefore, individuals may able to recognize these symptoms. So, that people might get themselves tested.

Extensive genetic diversity with novel mutations in spike glycoprotein of severe acute respiratory syndrome coronavirus 2, Bangladesh in late 2020.

In Bangladesh, coronavirus disease 2019 (COVID-19) has been highly prevalent during late 2020, with nearly 500 000 confirmed cases. In the present study, the spike (S) protein of severe acute respiratory coronavirus 2 (SARS-CoV-2) circulating in Bangladesh was genetically investigated to elucidate the diversity of mutations and their prevalence. The nucleotide sequence of the S protein gene was determined for 15 SARS-CoV-2 samples collected from eight divisions in Bangladesh, and analysed for mutations compared with the reference strain (hCoV-19/Wuhan/WIV04/2019). All the SARS-CoV-2 S genes were assigned to B.1 lineage in G clade, and individual S proteins had 1-25 mutations causing amino acid substitution/deletion. A total of 133 mutations were detected in 15 samples, with D614G being present in all the samples; 53 were novel mutations as of January 2021. On the receptor-binding domain, 21 substitutions including ten novel mutations were identified. Other novel mutations were located on the N-terminal domain (S1 subunit) and dispersed sites in the S2 subunit, including two substitutions that remove potential N-glycosylation sites. A P681R substitution adjacent to the furin cleavage site was detected in one sample. All the mutations detected were located on positions that are functionally linked to host transition, antigenic drift, host surface receptor binding or antibody recognition sites, and viral oligomerization interfaces, which presumably related to viral transmission and pathogenic capacity.

A Multivariate Spatiotemporal Model of COVID-19 Epidemic Using Ensemble of ConvLSTM Networks

The high R-naught factor of SARS-CoV-2 has created a race against time for mankind, and it necessitates rapid containment actions to control the spread. In such scenario short-term accurate spatiotemporal predictions can help understanding the dynamics of the spread in a geographic region and identify hotspots. However, due to the novelty of the disease there is very little disease-specific data generated yet. This poses a difficult problem for machine learning methods to learn a model of the epidemic spread from data. A proposed ensemble of convolutional LSTM-based spatiotemporal model can forecast the spread of the epidemic with high resolution and accuracy in a large geographic region. The feature construction method creates geospatial frames of features with or without temporal component based on latitudes and longitudes thus avoiding the need of location specific adjacency matrix. The model has been trained with available data for USA and Italy. It achieved 5.57% and 0.3% mean absolute percent error for total number of predicted infection cases in a 5-day prediction period for USA and Italy, respectively. © 2020, The Institution of Engineers (India).

Molecular Detection of Human Coronavirus from North Central Part of Bangladesh Depending on ORF1ab and N Gene.

The Coronavirus disease 2019 (COVID-19) resulted severe respiratory illness such as pneumonia and lung dysfunctions that was first identified at Wuhan, the capital of Hubeiin China during the end of December 2019. The etiological cause of COVID-19 has been confirmed as a novel coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was similar with the zoonotic virus SARS-CoV (2002). Now a days for early diagnosis of COVID-19 the nucleic acid based test like RT PCR (real time reverse transcription polymerase chain reaction) is most consistent and used all over the world. In this study among 11,280 cases 825(7.31%) were positive by molecular RT PCR method on June 2020 at Microbiology department of Mymensingh Medical College and the samples are collected from different areas of Northern part of Bangladesh. Among this positive cases 588(71%) N gene, 10 ORF1ab (2%) and 227(27%) both N and ORF gene showed significant curve which is specific for COVID-19 positive patients. Because N and ORF gene of this virus inhibit immune system of human body especially interferon. Out of SARS-CoV-2 positive cases maximum number of N gene were found in male patients and above 40 years old aged group. So, Molecular diagnosis of this pandemic virus especially by N and ORF gene might be helpful to reduce the spread of SARS-CoV-2 as well as early treatment for saving many lives.

A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry

This research investigates the impacts of the novel coronavirus disease, also referred to as COVID-19 pandemic, on the food and beverage industry. It examines both short-term and medium-to-long-term impacts of the pandemic and outlines strategies to reduce the potential consequences of those impacts. To this end, we use a qualitative, multiple-case-study methodology, collecting data from eight sample companies with fourteen respondents in the food and beverage industry in Bangladesh. The findings show that the short-term impacts of this pandemic, such as product expiry, shortage of working capital, and limited operations of distributors, are severe, while the medium-to-long-term impacts promise to be complex and uncertain. In the longer term, various performance metrics, such as return on investment by the firms, the contribution of the firms to the gross domestic product (GDP), and employee size, are all expected to decrease. Moreover, firms may need to restructure their supply chain and build relationships with new distributors and trade partners. The study proposes several strategies that managers in this sector can adopt to improve resiliency in the changing environment during and after the COVID-19 era. While this research is novel and contributes to both theory and practice, it does not consider small and medium-sized companies in the food and beverage industry. Therefore, the impacts and strategies we identify may not apply to smaller companies. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

National Clinical Guidance for the Management of Cardiovascular Intervention in the COVID-19 Pandemic: From Bangladesh Society of Cardiovascular Interventions (BSCI).

Since the first recorded case of SARS-CoV-2 in Bangladesh on 8th March 2020, COVID-19 has spread widely through different regions of the country, resulting in a necessity to re-evaluate the delivery of cardiovascular services, particularly procedures pertaining to interventional cardiology in resource-limited settings. Given its robust capacity for human-to-human transmission and potential of being a nosocomial source of infection, the disease has specific implications on healthcare systems and health care professionals faced with performing essential cardiac procedures in patients with a suspected or confirmed diagnosis of COVID-19. The limited resources in terms of cardiac catheterization laboratories that can be designated to treat only COVID positive patients are further compounded by the additional challenges of unavailability of widespread rapid testing on-site at tertiary cardiac hospitals in Bangladesh. This document prepared for our nation by the Bangladesh Society of Cardiovascular Interventions (BSCI) is intended to serve as a clinical practice guideline for cardiovascular health care professionals, with a focus on modifying standard practice of care during the COVID-19 pandemic, in order to ensure continuation of adequate and timely treatment of cardiovascular emergencies avoiding hospital-based transmission of SARS-COV-2 among healthcare professionals and the patients. This is an evolving document based on currently available global data and is tailored to healthcare systems in Bangladesh with particular focus on, but not limited to, invasive cardiology facilities (cardiac catheterization, electrophysiology & pacing labs). This guideline is limited to the provision of cardiovascular care, and it is expected that specific targeted pharmaco-therapeutics against SARS-CoV-2 be prescribed as stipulated by the National Guidelines on Clinical Management of Corona virus Disease 2019 (COVID-19) published by the Director General of Health Services, Ministry of Health and Family Welfare of Bangladesh.

SARS-CoV-2 Detection using Real Time PCR by a Commercial Diagnostic Kit.

There is a new public health problem around the world with the emergence and spread of 2019 novel corona virus (2019-nCoV). The disease "coronavirus disease 2019" (COVID-19) was caused by SARS-CoV-2. As virus isolates are unavailable so the public laboratories are now facing a challenge for detecting the virus because there is growing evidence of the outbreak which is more widespread than initially thought. We aimed here to discuss about the current diagnostic methodology for detecting the SARS-CoV-2 in health laboratories. Here we use the Novel Corona virus (2019-nCoV) Nucleic Acid Diagnostic Kit (PCR-Fluorescence Probing) which is a real time reverse transcription polymerase chain reaction (rRT-PCR) test. A total of 230 samples in the department of microbiology, Mymensingh Medical College from 1st, April 2020 were selected for this study. Among them 20(8.69%) were positive for SARS CoV-2 and remaining were negative. Among the positive samples 55% could amplify both the ORF 1ab and N genes. The single gene ORF 1ab or N was positive in 15% and 30% cases respectively. The Ct values (<38) of ORF 1ab gene indicated by FAM dye was 92.8% and N gene curve indicated by ROX dye was 100%. The presence of IC gene curve with Ct values (<38) indicated by CY5 dye among the positives were 70% and 100% in negatives. The Ct values (38-40) of IC (CY5) among the positives were 15%. The present study demonstrates the enormous response capacity of the study kit for detecting SARS-CoV-2 within the laboratories in Bangladesh.