Efficacy of the Unani Regimen as an Add-On to Standard Treatment in Hospitalised RT-PCR-Confirmed Mild to Moderate COVID-19 Patients: An Open-Label Randomized Controlled Trial.

Background The coronavirus disease 2019 (COVID-19) pandemic resulted in mortality and morbidity worldwide. Many treatment modalities have been experimented with limited success. Therefore, the traditional system of medicine needs to be explored. Objective To evaluate the benefits of Unani regimensTiryaq-e-Arba and Unani Joshanda, as adjuvant therapy, were compared to standard treatment alone among reverse transcription polymerase chain reaction (RT-PCR)-confirmed mild to moderate COVID-19 cases. Materials and methods An open-label, double-arm, randomized, controlled interventional clinical study was conducted among 90 RT-PCR-confirmed mild to moderate COVID-19 inpatients admitted to a tertiary care hospital in New Delhi, India. Participants who fulfilled the criteria for inclusion were randomly assigned to two arms, with 43 subjects allocated to the Unani add-on arm and 47 subjects to the control arm receiving standard treatment alone. Results Clinical recovery was achieved in all patients of the Unani arm, while in the control arm, three (6.4%) patients deteriorated and had to be shifted to ICU following admission. In the intervention arm, a shorter duration of hospitalization was observed (mean 5.95 days {SD = 1.99}) than in the control arm (mean 7.62 days {SD, 4.06}); which was a statistically significant difference (p-value 0.017). The majority of the patients recovered within 10 days in the Unani add-on arm. The number of days taken for the reduction of symptoms was significantly less in the intervention arm (mean 5.14 days {SD, 2.39}) as compared with standard treatment (mean 6.53 days {SD, 3.06}) (p < 0.02). Renal and liver safety parameters were within the normal limits in both arms and no serious adverse event was reported. Conclusion Adding Unani formulations to standard treatment significantly reduced the duration of hospital stay and showed early recovery in COVID-19 patients compared with the control arm. It may be concluded that the synergistic effect of the Unani add-on with standard treatment gave more promising results in mild to moderate COVID-19 patients.

Examining the Time Varying Spillover Dynamics of Indian Financial Indictors from Global and Local Economic Uncertainty.

The research aims to excavate the role of global (Fed Rate, Crude, Real Dollar Index) and endogenous economic variables (GDP and Consumer Price Index) in shaping the spillover amongst the major Indian Financial indicators, viz. Nifty Index, MCX Gold, USDINR, Govt. Bond 10Y maturity and agricultural index N-Krishi. To facilitate cross-comparison decomposition of time-varying spillover output generated from Time-Varying Vector Autoregression (TVP-VAR) with aggregation at three layers is performed. The research finds that Indian Financial Indicators are vulnerable to spillover shocks from global variables predominantly driven by Fed Rate and Real Dollar Index. USDINR turns out to be most sensitive to global shocks and transgresses the shock to other financial indicators. Importantly, persistently high inflation has brought volatility spikes in the directional spillover to financial indicators. Though spillover subsidence is observed post-2014, with an all-time high during GFC, a sudden spurt in all financial indicators has been observed post-Covid-19, with Govt. bonds showing a sporadic rise. An important observation relates to staunch spillover from GDP during GFC with reoccurrence post-Covid. Additionally, a closely knit spillover tie is observed among USDINR, N-Krishi, and Crude. The study is beneficial to RBI to proactively monitor the weakening rupee along with Fed tapering to manage the rising spillover post-Covid-19. The effort of RBI has to be reciprocated by the government in inflation targeting to reinforce the curbing efforts of rising shock spillover.

Natural Products as Potential Therapeutic Agents for SARS-CoV-2: A Medicinal Chemistry Perspective.

Coronavirus is a single-stranded RNA virus discovered by virologist David Tyrrell in 1960. Till now seven human corona viruses have been identified including HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1, SARS-CoV, MERS-CoV and SARS-CoV-2. In the present scenario, the SARS-CoV-2 outbreak causing SARS-CoV-2 pandemic, became the most serious public health emergency of the century worldwide. Natural products have long history and advantages for the drug discovery process. Almost 80% of drugs present in market are evolved from the natural resources. With the outbreak of SARS-CoV-2 pandemic, natural product chemists have made significant efforts for the identification of natural molecules which can be effective against the SARS-CoV-2. In current compilation we have discussed in vitro and in vivo anti-viral potential of natural product-based leads for the treatment of SARS-CoV-2. We have classified these leads in different classes of natural products such as alkaloids, terpenoids, flavonoids, polyphenols, quinones, cannabinoids, steroids, glucosinolates, diarylheptanoids, etc. and discussed the efficacy and mode of action of these natural molecules. The present review will surely opens new direction in future for the development of promising drug candidates particularly from the natural origin against coronaviruses and other viral diseases.

Human rabies control in the era of post-COVID-19: a call for action.

Following the COVID-19 pandemic, there has been a sharp increase in rabies cases and deaths. Rabies outbreaks are being reported worldwide. Multiple disruptions in Rabies control occurred during the pandemic, significantly affecting lower-income countries. Countries need to develop specific action plans to become 'rabies free' by 2030.

Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images.

In this era of Coronavirus disease 2019 (COVID-19), an accurate method of diagnosis with less diagnosis time and cost can effectively help in controlling the disease spread with the new variants taking birth from time to time. In order to achieve this, a two-dimensional (2D) tunable Q-wavelet transform (TQWT) based on a memristive crossbar array (MCA) is introduced in this work for the decomposition of chest X-ray images of two different datasets. TQWT has resulted in promising values of peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) at the optimum values of its parameters namely quality factor (Q) of 4, and oversampling rate (r) of 3 and at a decomposition level (J) of 2. The MCA-based model is used to process decomposed images for further classification with efficient storage. These images have been further used for the classification of COVID-19 and non-COVID-19 images using ResNet50 and AlexNet convolutional neural network (CNN) models. The average accuracy values achieved for the processed chest X-ray images classification in the small and large datasets are 98.82% and 94.64%, respectively which are higher than the reported conventional methods based on different models of deep learning techniques. The average accuracy of detection of COVID-19 via the proposed method of image classification has also been achieved with less complexity, energy, power, and area consumption along with lower cost estimation as compared to CMOS-based technology.

In silico evaluation of the inhibitory potential of nucleocapsid inhibitors of SARS-CoV-2: a binding and energetic perspective.

The COVID-19 outbreak brought on by the SARS-CoV-2 virus continued to infect a sizable population worldwide. The SARS-CoV-2 nucleocapsid (N) protein is the most conserved RNA-binding structural protein and is a desirable target because of its involvement in viral transcription and replication. Based on this aspect, this study focused to repurpose antiviral compounds approved or in development for treating COVID-19. The inhibitors chosen are either FDA-approved or are currently being studied in clinical trials against COVID-19. Initially, they were designed to target stress granules and other RNA biology. We have utilized structure-based molecular docking and all-atom molecular dynamics (MD) simulation approach to investigate in detail the binding energy and binding modes of the different anti-N inhibitors to N protein. The result showed that five drugs including Silmitasterib, Ninetanidinb, Ternatin, Luteolin, Fedratinib, PJ34, and Zotatafin were found interacting with RNA binding sites as well as to predicted protein interface with higher binding energy. Overall, drug binding increases the stability of the complex with maximum stability found in the order, Silmitasertib > PJ34 > Zotatatafin. In addition, the frustration changes due to drug binding brings a decrease in local frustration and this decrease is mainly observed in α-helix, ß3, ß5, and ß6 strands and are important for drug binding. Our in-silico data suggest that an effective interaction occurs for some of the tested drugs and prompt their further validation to reduce the rapid outspreading of SARS-CoV-2.Communicated by Ramaswamy H. Sarma.

Theaflavin 3-gallate inhibits the main protease (Mpro) of SARS-CoV-2 and reduces its count in vitro.

The main protease (Mpro) of SARS-CoV-2 has been recognized as an attractive drug target because of its central role in viral replication. Our previous preliminary molecular docking studies showed that theaflavin 3-gallate (a natural bioactive molecule derived from theaflavin and found in high abundance in black tea) exhibited better docking scores than repurposed drugs (Atazanavir, Darunavir, Lopinavir). In this study, conventional and steered MD-simulations analyses revealed stronger interactions of theaflavin 3-gallate with the active site residues of Mpro than theaflavin and a standard molecule GC373 (a known inhibitor of Mpro and novel broad-spectrum anti-viral agent). Theaflavin 3-gallate inhibited Mpro protein of SARS-CoV-2 with an IC50 value of 18.48 ± 1.29 µM. Treatment of SARS-CoV-2 (Indian/a3i clade/2020 isolate) with 200 µM of theaflavin 3-gallate in vitro using Vero cells and quantifying viral transcripts demonstrated reduction of viral count by 75% (viral particles reduced from Log106.7 to Log106.1). Overall, our findings suggest that theaflavin 3-gallate effectively targets the Mpro thus limiting the replication of the SARS-CoV-2 virus in vitro.

Health-Seeking Behaviour for Childhood Ailments in Caregivers of Under-Five Children in an Urban Resettlement Colony in Delhi, India.

This explorative qualitative study assesses the health-seeking behaviour for childhood ailments in caregivers of under-five children in a low-income neighbourhood in Delhi, India during July-September 2021. A total of 17 caregivers (mothers) of eight male and nine female under-five children were enrolled, with the mother being the caregiver in most (94%) cases. Caregivers consulted on common childhood ailments from multiple sources, including family, neighbours, healthcare providers (both licensed and unlicensed), frontline workers, and local pharmacists. The internet was often used as a source of child health information due to its ease of access but often "confused" caregivers due to the presence of too much information. Health-seeking behaviour of caregivers for childhood ailments could range from self-medication, local pharmacist dispensing, and private and public healthcare providers. Factors that influenced preference for the healthcare facility or provider were accessibility issues (waiting time, queuing), perceived physician competence, and associated out-of-pocket expenses. Caregivers reported dissatisfaction with government health facilities because of shorter operational hours, overcrowding, suboptimal sanitation, queuing with limited seating arrangements, and occasionally discourteous health staff. Self-medication and over-the-counter use of antibiotics was high due to a lack of awareness of the challenges of antibiotic resistance or any perceived side effects. Preference for unlicensed practitioners for medical treatment was low and based on long-term familial beliefs and acceptance. However, traditional practitioners enjoyed a high level of trust in the community from shared cultural values, enjoining attenuation of the perceived non-biological agents of childhood illnesses through non-medical supernatural interventions.

Systemic spillover dynamics of crude oil with Indian Financial indicators in post WPI revision and COVID era

The study first investigates the sensitivity of major Indian financial indicators, viz. Equity Index (Nifty), Exchange Rate (USDINR), Bond (Govt 10Y Bond), Gold, Agricultural Index (N-Krishi) to ascertain the existence of significant sensitivity to standard shocks Engle and Campos-Martins (2020) either arising due to global political/economic factor or endogenous macroeconomic scenario. After that, the study undertakes the systemic spillover dynamics of Crude by estimating a self-exciting regime-switching Threshold Vector Auto-regression model based on cut-off values of Crude to test shock transmission from Crude amid major global events empirically. The findings indicate the existence of three regimes with threshold cut-offs for Crude return, viz. −2.358% and 2.294% for 2008 and 2020, respectively. After that Spillover Index is estimated across the three regimes. The findings indicate a sporadic increase in spillover during the Covid era, GFC and Oil Crisis. Despite Govt. Bond ranking high insensitivity, the spillover linkage is low. The results also indicate that, on average, systemic volatility shocks from crude oil are highest in Gold. In fact, Gold's sensitivity to crude price fluctuations escalates to new heights during the 2008–09 crisis, thus serving as a source of idiosyncratic shocks. Moreover, in recent duration, a unique see-saw kind of link has emerged between crude oil and Gold, where downward pressure by Crude on USDINR is eased by a fall in gold imports. Moreover, an analysis of the spillover pattern across the Wholesale Price Index (WPI) 2012 shows an intensification of spillover from Crude. The study is beneficial to policymakers to apply a systemic approach while empirically analyzing the spillover from a Global commodity such as Crude.

Perceptions of Good Health and Impact of COVID-19 Among Adolescents in a Low-Income Urban Agglomerate in Delhi, India: A Qualitative Study.

Adolescents constitute 16% of the global population and are susceptible to adverse health and illness from substance abuse, unhealthy diet, physical inactivity, and high-risk sexual behaviors. We conducted this study to assess the perceptions of good health, health-seeking behavior, and health service utilization among adolescents living in a low-income urban neighborhood after the second wave of the COVID-19 pandemic. A total of 23 adolescents, including 12 males and 11 females, were interviewed. Adolescents' perceived body image and size considerations apart from functioning at an optimum physical capacity as the principal attributes of good health, which was possible through the intake of a healthy diet and exercise. Adolescents were likely to be aware of the addiction potential and risk of cancer from using tobacco and alcohol, but attitudes towards eschewing their use were ambivalent. Adolescents perceived themselves as lacking access to reliable, adequate, and validated sources of sexual and reproductive health information. Knowledge and utilization of adolescent health services in this area were negligible, suggestive of the need to strengthen these services and improve the program outreach.

In-silico screening of plant-derived antivirals against main protease, 3CLpro and endoribonuclease, NSP15 proteins of SARS-CoV-2.

Novel Coronavirus or SARS-CoV-2 outbreak has developed a pandemic condition all over the world. The virus is highly infectious and spreads by human to human local transmission mode. Till date, there is no vaccination or drugs been approved for the treatment by the World Health Organisation. Henceforth, the discovery of the potential drugs is an urgent and utmost requirement for the medical fraternity. Since, the side effects of plant-derived compounds will be lower compared to synthetic/chemical drugs. The Main protease (3CLpro or NSP5) and endoribonuclease (NSP15) proteins are necessity for viral replication and its survival in the host cell. In the present study, in-silico approach of drug development was used to search for potential antiviral plant-derived compounds as inhibitors against SARS-CoV-2 replication proteins. Eight plant-derived compounds of which the antiviral activity was known and available, and two reported drugs against SARS-CoV-2 selected for the molecular docking analysis. The docking results suggested that bisdemethoxycurcumin, demethoxycurcumin, scutellarin, quercetin and myricetin showed least binding energy, i.e., greater than -6.5 Kcal/mol against 3CLpro and endoribonuclease of SARS-CoV-2. Further studies of ADME-Tox and bioavailability of drugs were also performed that exhibited efficient parameters of drug likeness. Molecular dynamics simulation calculations were performed for the most negative binding affinity of the compound to evaluate the dynamic behavior,and stability of protein-ligand complex. Our findings suggest that these compounds could be potential inhibitors of SARS-CoV-2 main protease and endoribonuclease. However, further in-vitro and pre-clinical experiments would validate the potential inhibitors of SARS-CoV-2 proteins.

Development of a Novel Pharmacophore Model Guided by the Ensemble of Waters and Small Molecule Fragments Bound to SARS-CoV-2 Main Protease.

Recent fragment-based drug design efforts have generated huge amounts of information on water and small molecule fragment binding sites on SARS-CoV-2 Mpro and preference of the sites for various types of chemical moieties. However, this information has not been effectively utilized to develop automated tools for in silico drug discovery which are routinely used for screening large compound libraries. Utilization of this information in the development of pharmacophore models can help in bridging this gap. In this study, information on water and small molecule fragments bound to Mpro has been utilized to develop a novel Water Pharmacophore (Waterphore) model. The Waterphore model can also implicitly represent the conformational flexibilities of binding pockets in terms of pharmacophore features. The Waterphore model derived from 173 apo- or small molecule fragment-bound structures of Mpro has been validated by using a dataset of 68 known bioactive inhibitors and 78 crystal structure bound inhibitors of SARS-CoV-2 Mpro . It is encouraging to note that, even though no inhibitor data has been used in developing the Waterphore model, it could successfully identify the known inhibitors from a library of decoys with a ROC-AUC of 0.81 and active hit rate (AHR) of 70 %. The Waterphore model is also general enough for potential applications for other drug targets.

Combining SARS-CoV-2 Proofreading Exonuclease and RNA-Dependent RNA Polymerase Inhibitors as a Strategy to Combat COVID-19: A High-Throughput in silico Screening.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected millions of people worldwide. Currently, many clinical trials in search of effective COVID-19 drugs are underway. Viral RNA-dependent RNA polymerase (RdRp) remains the target of choice for prophylactic or curative treatment of COVID-19. Nucleoside analogs are the most promising RdRp inhibitors and have shown effectiveness in vitro, as well as in clinical settings. One limitation of such RdRp inhibitors is the removal of incorporated nucleoside analogs by SARS-CoV-2 exonuclease (ExoN). Thus, ExoN proofreading activity accomplishes resistance to many of the RdRp inhibitors. We hypothesize that in the absence of highly efficient antivirals to treat COVID-19, combinatorial drug therapy with RdRp and ExoN inhibitors will be a promising strategy to combat the disease. To repurpose drugs for COVID-19 treatment, 10,397 conformers of 2,240 approved drugs were screened against the ExoN domain of nsp14 using AutoDock VINA. The molecular docking approach and detailed study of interactions helped us to identify dexamethasone metasulfobenzoate, conivaptan, hesperidin, and glycyrrhizic acid as potential inhibitors of ExoN activity. The results were further confirmed using molecular dynamics (MD) simulations and molecular mechanics combined with generalized Born model and solvent accessibility method (MM-GBSA) calculations. Furthermore, the binding free energy of conivaptan and hesperidin, estimated using MM-GBSA, was -85.86 ± 0.68 and 119.07 ± 0.69 kcal/mol, respectively. Based on docking, MD simulations and known antiviral activities, and conivaptan and hesperidin were identified as potential SARS-CoV-2 ExoN inhibitors. We recommend further investigation of this combinational therapy using RdRp inhibitors with a repurposed ExoN inhibitor as a potential COVID-19 treatment.

Safety and Immunogenicity of a DNA SARS-CoV-2 vaccine (ZyCoV-D): Results of an open-label, non-randomized phase I part of phase I/II clinical study by intradermal route in healthy subjects in India.

BACKGROUND: ZyCoV-D is a DNA vaccine candidate, which comprises a plasmid DNA carrying spike-S gene of SARS-CoV-2 virus along with gene coding for signal peptide. The spike(S) region includes the receptor-binding domain (RBD), which binds to the human angiotensin converting Enzyme (ACE)-2 receptor and mediates the entry of virus inside the cell. METHODS: We conducted a single-center, open-label, non-randomized, Phase 1 trial in India between July 2020 and October 2020. Healthy adults aged between 18 and 55 years were sequentially enrolled and allocated to one of four treatment arms in a dose escalation manner. Three doses of vaccine were administered 28 days apart and each subject was followed up for 28 days post third dose to evaluate safety and immunogenicity. FINDINGS: Out of 126 individuals screened for eligibility. Forty-eight subjects (mean age 34·9 years) were enrolled and vaccinated in the Phase 1 study Overall, 12/48 (25%) subjects reported at least one AE (i.e. combined solicited and unsolicited) during the study. There were no deaths or serious adverse events reported in Phase 1 of the study. The proportion of subjects who seroconverted based on IgG titers on day 84 was 4/11 (36·36%), 4/12 (33·33%), 10/10 (100·00%) and 8/10 (80·00%) in the treatment Arm 1 (1 mg: Needle), Arm 2 (1 mg: NFIS), Arm 3 (2 mg: Needle) and Arm 4 (2 mg: NFIS), respectively. INTERPRETATION: ZyCoV-D vaccine is found to be safe, well-tolerated and immunogenic in the Phase 1 trial. Our findings suggest that the DNA vaccine warrants further investigation.

Silver nanoparticle based multifunctional approach for combating COVID-19.

COVID-19 is a highly contagious and widespread disease that has strained the global healthcare system to the hilt. Silver nanoparticles (AgNPs) are well known for their potent antimicrobial, antiviral, immunomodulatory and biosensing properties. AgNPs have been found to be potential antiviral agent that act against many deadly viruses and is presumed to be effective against COVID-19. AgNPs can generate free radicals and reactive oxygen species (ROS) leading to apoptosis mediated cell death thereby inhibiting viral infection. The shape and size of AgNPs play an important role in its biomedical applications as alterations may result in variable biological interaction and activity. Herein, we propose that AgNPs can be utilized for effective management of the ongoing COVID-19 pandemic by highlighting the current status of AgNPs in the fight against COVID-19.

Efficacy and Safety of New and Emerging Drugs for COVID-19: Favipiravir and Dexamethasone.

PURPOSE OF REVIEW: The widespread respiratory disease of virus known as severe acute respiratory syndrome-coronavirus 2019 (SAR-CoV-2) had infected more than 200 countries and caused pandemic and havoc in the world. RECENT FINDINGS: The genome of the virus was sequenced rapidly to study its mechanism, epidemiology, drugs, and vaccines. Many drugs and vaccines are being studied by researchers to treat and prevent the SARS-CoV-2. Favipiravir and dexamethasone are repurposed drugs which showed therapeutic potential and pharmaceutical efficacy against SARS-CoV-2. SUMMARY: The review describes the path of favipiravir and dexamethasone from chemistry to mechanisms of action to combat SARS-CoV-2. In addition, the potential side effects are also summarized to study their potential to control corona virus 2019.

Mechanistic insight into anti-COVID-19 drugs: recent trends and advancements.

The Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) has been established now to be a deadly disease afflicting the whole world with worst consequences on healthcare, economy and day-to-day life activities. Being a communicable disease, which is highly pathogenic in humans, causing cough, throat infection, breathing problems, high fever, muscle pain, and may lead to death in some cases especially those having other comorbid conditions such as heart or kidney problems, and diabetes. Finding an appropriate drug and vaccine candidate against coronavirus disease (COVID-19) remains an ultimate and immediate goal for the global scientific community. Based on previous studies in the literature on SARS-CoV infection, there are a number of drugs that may inhibit the replication of SARS-CoV-2 and its infection. Such drugs comprise of inhibitors of Angiotensin-Converting Enzyme 2 (ACE2), transmembrane Serine Protease 2 (TMPRSS2), nonstructural protein 3C-like protease, nonstructural RNA-dependent RNA polymerase (RdRp) and many more. The antiviral drugs such as chloroquine and hydroxychloroquine, lopinavir and ritonavir as inhibitors for HIV protease, nucleotide analogue remdesivir, and broad-spectrum antiviral drugs are available to treat the SARS-CoV-2-infected patients. Therefore, this review article is planned to gain insight into the mechanism for blocking the entry of SARS-CoV-2, its validation, other inhibition mechanisms, and development of therapeutic drugs and vaccines against SARS-CoV-2.

An Experience of Otorhinolaryngologists as Frontline Worker with Novel Coronavirus: A Qualitative Analysis.

During this COVID pandemic healthcare worker systems were overwhelmed. Doctors especially otorhinolaryngologists in addition to doing their specialty duty were also recruited to provide care to COVID-19 patients. To our knowledge, no studies about their experiences regarding COVID-19 have been published. Present study aimed to describe the experiences of Otorhinolaryngologist during this pandemic. This is a qualitative study using an empirical phenomenological approach. 30 ENT doctors were recruited from government and private sector. They participated in semi-structured, in-depth interviews by telephone in a period of one month. Interviews were recorded by consent and data was analyzed. After analysis four themes were revealed namely; 'nature of duty during Covid-19 pandemic', 'modification made to adjust the duty', 'conflict between professional duty and family responsibilities', and 'fear of pandemic ill effect on their health'. The extreme work and fatigue drained ours ENT doctor's physically as well as emotionally. But our doctors showed their resilience and the spirit of professional dedication to overcome difficulties. Comprehensive support should be provided to safeguard the wellbeing of health-care providers mainly doctors. In the meantime timely as well as intensive training for all healthcare worker is highly recommended to promote preparedness and improve efficacy during the pandemic.

Genomic Epidemiology and Recent Update on Nucleic Acid-Based Diagnostics for COVID-19.

Purpose of the Review: The SARS-CoV-2 genome has been sequenced and the data is made available in the public domain. Molecular epidemiological investigators have utilized this information to elucidate the origin, mode of transmission, and contact tracing of SARS-CoV-2. The present review aims to highlight the recent advancements in the molecular epidemiological studies along with updating recent advancements in the molecular (nucleic acid based) diagnostics for COVID-19, the disease caused by SARS-CoV-2. Recent Findings: Epidemiological studies with the integration of molecular genetics principles and tools are now mainly focused on the elucidation of molecular pathology of COVID-19. Molecular epidemiological studies have discovered the mutability of SARS-CoV-2 which is of utmost importance for the development of therapeutics and vaccines for COVID-19. The whole world is now participating in the race for development of better and rapid diagnostics and therapeutics for COVID-19. Several molecular diagnostic techniques have been developed for accurate and precise diagnosis of COVID-19. Summary: Novel genomic techniques have helped in the understanding of the disease pathology, origin, and spread of COVID-19. The whole genome sequence established in the initial days of the outbreak has enabled to identify the virus taxonomy. Several rapid, accurate, and sensitive diagnostic methods have been developed; those are based on the principle of detecting SARS-CoV-2 nucleic acids in clinical samples. Most of these molecular diagnostics are based on RT-PCR principle.