Wastewater-based epidemiology (WBE) has emerged as a powerful public health tool to trace new outbreaks, detect trends in infection and provide an early warning of COVID-19 community spread. Here, we investigated the spread of SARS-CoV-2 infections across Utah by characterizing lineages and mutations detected in wastewater samples. We sequenced over 1,200 samples from 32 sewersheds collected between November 2021 and March 2022. Wastewater sequencing confirmed the presence of Omicron (B.1.1.529) in Utah in samples collected on November 19, 2021, up to seven days before its corresponding detection via clinical sequencing. We observed an increase in prevalence of several Omicron-defining mutations across sewersheds from December to January. Proportion of Omicron increased to ~58% by January 4th 2022 and completely displaced Delta by February 7th, 2022. Our study shows that WBE is an excellent complementary tool to SARS-CoV-2 clinical surveillance and can guide public health action and policy decisions.
Respiratory syncytial virus (RSV) infections and hospitalization have surged sharply among young children. Here we test how the seasonal patterns of RSV infections in 2022 compared with those from other COVID-19 pandemic and pre-pandemic years. For this purpose, we analyzed a nation-wide and real-time database of electronic health records of 56 million patients across 50 states in the US. The monthly incidence rate of first-time RSV infection in young children (0-5 years of age) and very young children (0-1 year of age) followed a seasonal pattern from 2010 to 2019 with increases during the autumn, peaking in winter, subsiding in spring and summer. This seasonal pattern was significantly disrupted during the COVID-19 pandemic. In 2020, the incidence rate of RSV infections was remarkably low throughout the year. In 2021, the RSV season expanded to 9 months starting in the early summer and peaking in October. In 2022, RSV infections started to rise in May and were significantly higher than in previous years reaching a historically highest incidence rate in November 2022. There were significant racial and ethnic disparities in the peak RSV infection rate during 2010-2021 and the disparities further exacerbated in 2022 with peak incidence rate in black and Hispanic children 2-3 times that in white children. Among RSV-infected children in 2022, 19.2% had prior documented COVID-19 infection, significantly higher than the 9.7% among uninfected children, suggesting that prior COVID-19 could be a risk factor for RSV infection or that there are common risk factors for both viral infections. Our study calls for continuous monitoring of RSV infection in young children alongside its clinical outcomes and for future work to assess potential COVID-19 related risk factors.
SARS-CoV-2 infection can manifest as a wide range of respiratory and systemic symptoms well after the acute phase of infection in over 50% of patients. Key questions remain on the long-term effects of infection on tissue pathology in recovered COVID-19 patients. To address these questions we performed multiplexed imaging of post-mortem lung tissue from 12 individuals who died post-acute COVID-19 (PC) and compare them to lung tissue from patients who died during the acute phase of COVID-19, or patients who died with idiopathic pulmonary fibrosis (IPF), and otherwise healthy lung tissue. We find evidence of viral presence in the lung up to 359 days after the acute phase of disease, including in patients with negative nasopharyngeal swab tests. The lung of PC patients are characterized by the accumulation of senescent alveolar type 2 cells, fibrosis with hypervascularization of peribronchial areas and alveolar septa, as the most pronounced pathophysiological features. At the cellular level, lung disease of PC patients, while distinct, shares pathological features with the chronic pulmonary disease of IPF. which may help rationalize interventions for PC patients. Altogether, this study provides an important foundation for the understanding of the long-term effects of SARS-CoV-2 pulmonary infection at the microanatomical, cellular, and molecular level.
Background: Black birthing people experience disproportionately higher rates of morbidity and mortality, and poorer infant health outcomes than all other racial and ethnic groups. Statewide in Wisconsin, an alarming disparity exists between Black and Non-Hispanic White (NHW) breastfeeding initiation rates (54% and 87%, respectively). For the last fourteen years, the African American Breastfeeding Network (AABN) has operated in Milwaukee County, where 70% of the Black population of Wisconsin lives. The mission of AABN is to improve maternal health and champion breastfeeding equity for Black birthing families. In 2018, AABN received more referrals than could be served by their team of doulas, lactation consultants, and advocates, leading our team to pursue ways to expand their reach through technology-based approaches. With the onset of COVID-19, the need for telehealth support increased drastically, as referrals for AABN services tripled. In this study, we explore the use of technology to support Black birthing families in Wisconsin and beyond, in the hopes of expanding the capacity of organizations like AABN. Methods: A survey was conducted amongst 21 Black women who were pregnant or had given birth in the last year, regarding perceptions of technology. Women were split equally into three focus groups to discuss survey results further and provide context. Focus groups were recorded, transcribed, and coded for themes. Results: Participants were likely to use their phone or the internet to look for general or health-related information, but only somewhat likely to trust either general or health-related information. Participants were somewhat likely to trust the information on the phone or the internet as much as their healthcare provider (doctor, nurse, doula) in person. In the focus groups, all participants agreed that the phone or the internet was the first place looked to for information, ahead of consulting a healthcare professional. A comprehensive list of desired features was generated to guide the development of a resource to support AABN. Conclusions: Study findings support exploring mobile technology-based approaches for breastfeeding support and education. Participants emphasized that to be relevant for them, a telehealth resource would need to: 1) Build meaningful connections between patients and providers, 2) Treat diverse opinions with trust and respect, and 3) Offer multiple sources and formats for information that can be easily cross-referenced.
Background: Coronavirus disease (COVID-19) is an infectious disease that is caused by the SARS-CoV-2virus. The objective of this study was to determine SARS COV-2 Mortality and its associated factors in East Shewa Zone Treatment centers, Oromia, Ethiopia, 2022. The study of these types of viral infection will add new insight into the most common causes of mortality in SARS-CoV-2infection and the most common co-morbidities associated with the disease in the East Shewa Zone. Methods: The study was conducted on patients who were admitted to Adama Hospital medical college and Modjo Primary Hospital for SARS-COV 2 treatment. The study period was from March 2020- Dec 2022 GC. The study population was SARS-COV 2 patients who come to Adama Hospital and Medical College and Modjo Primary Hospital for treatment. All eligible SARS-CoV-2 patients9 data were collected from Both Adama and Modjo treatment center SARS-CoV-2 accession registration book and medical record card. Result: A total of 409 patient data were collected from which 199 were from Adama Hospital and Medical College and 210 samples were collected from Modjo Primary Hospital Treatment center. The study design was a retrospective Cross-sectional study. The most affected age group in terms of mortality was the age group between 60-69 years old which suffers a 45.28% death rate. The major sign symptoms identified include cough (80.4%), Shortness of breath (66.7%) followed by fever (43.2%). SARS-CoV-2 Comorbidity was detected in 152 (37.2%) patients. Pneumonia was identified as the major comorbid disease to be recorded with 89(21.8%) cases. Other major comorbidities include Hypertension (16.9%) and Diabetes Mellites (13.9%). The least identified comorbidities were anemia (0.2%), Rectal cancer (0.2%), breast cancer (0.5%), and Chronic liver disease. Conclusion: Nearly one in four (22.7%) SARS-COV 2 patients admitted for treatment to Adama Hospital and Medical College and Modjo Primary Hospital did not make their way out of treatment Hospitals alive. Pneumonia was identified as the major comorbid disease to be recorded with 89(21.8%) cases.
Advances in the field of image classification using convolutional neural networks (CNNs) have greatly improved the accuracy of medical image diagnosis by radiologists. Numerous research groups have applied CNN methods to diagnose respiratory illnesses from chest x-rays, and have extended this work to prove the feasibility of rapidly diagnosing COVID-19 to high degrees of accuracy. One issue in previous research has been the use of datasets containing only a few hundred images of chest x-rays containing COVID-19, causing CNNs to overfit the image data. This leads to a lower accuracy when the model attempts to classify new images, as would be clinically expected of it. In this work, we present a model trained on the COVID-QU-Ex dataset, overall containing 33,920 chest x-ray images, with an equal share of COVID-19, Non-COVID pneumonia, and Normal images. The model itself is an ensemble of pre-trained CNNs (ResNet50, VGG19, VGG16) and GLCM textural features. It achieved a 98.34% binary classification accuracy (COVID-19/no COVID-19) on a balanced test dataset of 6581 chest x-rays, and 94.68% for distinguishing between COVID-19, Non-COVID pneumonia and normal chest x-rays. Also, we herein discuss the effects of dataset size, demonstrating that a 98.82% 3-class accuracy can be achieved using the model if the training dataset only contains a few thousand images, but that generalisability of the model suffers with such small datasets.
Introduction Ethnicity information is recorded routinely in electronic health records (EHRs); however, to date, there is no national standard or framework for harmonisation of the existing records. Methods and analysis The national ethnicity-spine uses anonymised individual-level population-scale ethnicity data from 26 EHR available through the Secure Anonymised Information Linkage (SAIL) Databank. A total of 46 million ethnicity records for 4,297,694 individuals in Wales-UK over 22 years (between 2000 and 2021) have been compiled in a harmonised, deduplicated longitudinal research ready data asset. We serialised this data and compared distribution of records over time for four selection approaches (Latest, Mode, Weighted-Mode and Composite) across age bands, sex, deprivation quintiles, health board, and residential location, against the ONS census 2011. The distribution of the dominant group (White) is minimally affected based on the four different selection approaches. Across all other ethnicity categorisations, the Mixed group was most susceptible to variation in distribution depending on the selection approach used and varied from a 0.6% prevalence across the Latest and Mode approach to a 1.1% prevalence for the Weighted-Mode, compared to the 3.1% prevalence for the Composite approach. Substantial alignment was observed with ONS census with the Latest group method (kappa= 0.68, 95% CI [0.67,0.71]) across all sub-groups. Conclusion We provides a reproducible EHR based resource enabling the investigation and evaluation of health inequalities related to ethnic groups in Wales. This generalisable method informs opportunities for the transferability of this methodology across the UK to platforms with comparable routine data sources. Ethics and dissemination This work was supported by the Con-COV team funded by Medical Research Council, Health Data Research UK, ADR Wales funded by ADR UK through the Economic and Social Research Council, and the Wales COVID-19 Evidence Centre, funded by Health and Care Research Wales.
In year one of the COVID-19 epidemic, the incidence of infection for US carceral populations was 5.5-fold higher than that in the community. Prior to the rapid roll out of a comprehensive jail surveillance program of Wastewater-Based Surveillance (WBS) and individual testing for SARS-CoV-2, we sought the perspectives of formerly incarcerated individuals regarding mitigation strategies against COVID-19 to inform acceptability of the new program. In focus groups, participants discussed barriers to their receiving COVID-19 testing and vaccination. We introduced WBS and individual nasal self-testing, then queried if wastewater testing to improve surveillance of emerging outbreaks before case numbers surged, and specimen self-collection, would be valued. The participants9 input gives insight into ways to improve the delivery of COVID-19 interventions. Hearing the voices of those with lived experiences of incarceration is critical to understanding their views on infection control strategies and supports including justice-involved individuals in decision-making processes regarding jail-based interventions.
Background Antigen lateral flow devices (LFDs) have been widely used to control SARS-CoV-2. Changes in LFD sensitivity and detection of infectious individuals during the pandemic with successive variants, vaccination, and changes in LFD use are incompletely understood. Methods Paired LFD and PCR tests were collected from asymptomatic and symptomatic participants, across multiple settings in the UK between 04-November-2020 and 21-March-2022. Multivariable logistic regression was used to analyse LFD sensitivity and specificity, adjusting for viral load, LFD manufacturer, setting, age, sex, assistance, symptoms, vaccination, and variant. National contact tracing data were used to estimate the proportion of transmitting index cases (with ≥1 PCR/LFD-positive contact) potentially detectable by LFDs over time, accounting for viral load, variant, and symptom status. Findings 4131/75,382 (5.5%) participants were PCR-positive. Sensitivity vs. PCR was 63.2% (95%CI 61.7-64.6%) and specificity 99.71% (99.66-99.74%). Increased viral load was independently associated with being LFD-positive. There was no evidence LFD sensitivity differed between Delta vs. Alpha/pre-Alpha infections, but Omicron infections were more likely to be LFD positive. Sensitivity was higher in symptomatic participants, 68.7% (66.9-70.4%) than in asymptomatic participants, 52.8% (50.1-55.4%). 79.4% (68.6-81.3%) of index cases resulting in probable onward transmission with were estimated to have been detectable using LFDs, this proportion was relatively stable over time/variants, but lower in asymptomatic vs. symptomatic cases. Interpretation LFDs remained able to detect most SARS-CoV-2 infections throughout vaccine roll-out and different variants. LFDs can potentially detect most infections that transmit to others and reduce risks. However, performance is lower in asymptomatic compared to symptomatic individuals. Funding UK Government.
CareSuperb COVID-19 Antigen Test Usability - Condition: COVID-19
Intervention: Device: CareSuperb COVID-19 Antigen Home Test Kit
Sponsor: AccessBio, Inc.
Recruiting
Feasibility and Usability of COVID-19 Antigen RDTs in Uganda - Condition: COVID-19 Pandemic
Interventions: Diagnostic Test: PMC Sure Status COVID-19 Antigen Test; Diagnostic Test: Acon Flowflex COVID-19 Antigen Home Test
Sponsor: PATH
Not yet recruiting
A Study to Learn About Bivalent COVID-19 RNA Vaccine Candidate(s) in Healthy Infants and Children - Condition: COVID-19
Interventions: Biological: Bivalent BNT162b2 (original/Omicron BA.4/BA.5) 3 microgram dose; Biological: Bivalent BNT162b2 (original/Omicron BA.4/BA.5) 6 microgram dose; Biological: Bivalent BNT162b2 (original/Omicron BA.4/BA.5) 10 microgram dose; Biological: Bivalent BNT162b2 (original/Omicron BA.4/BA.5) 1 microgram dose
Sponsors: BioNTech SE; Pfizer
Not yet recruiting
SUNRISE-3: Efficacy and Safety of Bemnifosbuvir in High-Risk Outpatients With COVID-19 - Conditions: SARS CoV 2 Infection; COVID-19
Interventions: Drug: Bemnifosbuvir (BEM); Drug: Placebo
Sponsor: Atea Pharmaceuticals, Inc.
Recruiting
Study of RAY1216 Tablets Compared With Placebo in Patients With Mild to Moderate COVID-19 - Condition: Mild to Moderate COVID-19
Interventions: Drug: RAY1216; Drug: Placebo
Sponsor: Guangdong Raynovent Biotech Co., Ltd
Not yet recruiting
Evaluation of an Integrative Medicine Outpatient Clinical Setting for Post-COVID-19 Patients - Conditions: COVID-19; Fatigue
Interventions: Behavioral: outpatient clinic with multimodal integrative medicine and naturopathy for post-COVID-19 patients; Other: waiting group
Sponsor: Universität Duisburg-Essen
Recruiting
Acute Rehabilitation in Patients With COVID-19 Pneumonia - Conditions: COVID-19; Rehabilitation; Physical Medicine
Intervention: Procedure: Acute rehabilitation program
Sponsor: Institut za Rehabilitaciju Sokobanjska Beograd
Recruiting
Message Communicating Latest Data on COVID Transmission in Patient’s Area - Condition: COVID-19
Intervention: Behavioral: COVID Booster text messages
Sponsor: University of Pennsylvania
Enrolling by invitation
Clinical Evaluation of the Panbio™ COVID-19/Flu A&B Rapid Panel Professional Use Product Using Mid-Turbinate Nasal Swabs - Conditions: COVID-19; Influenza A; Influenza Type B
Intervention: Diagnostic Test: Panbio™
Sponsor: Abbott Rapid Dx
Not yet recruiting
Efficacy of a Physical and Respiratory Rehabilitation Program for Patients With Persistent COVID-19 (SARS-CoV-2). - Conditions: SARS-CoV-2 Infection; COVID-19 Recurrent; Cognitive Dysfunction; Fatigue
Intervention: Other: COPERIA-REHAB
Sponsors: Fundacin Biomedica Galicia Sur; University of Vigo; Galician South Health Research Institute
Not yet recruiting
VNS for Long-COVID-19 - Conditions: Post-COVID-19 Syndrome; Postural Tachycardia Syndrome; Dysautonomia
Interventions: Device: Non-invasive vagus nerve stimulation; Device: Sham Intervention
Sponsor: Icahn School of Medicine at Mount Sinai
Recruiting
Phonation Therapy to Improve Symptoms and Lung Physiology in Patients Referred for Pulmonary Rehabilitation - Condition: COVID-19
Interventions: Behavioral: Tonation Breathing Techniques; Behavioral: Music Driven Vocal Exercises; Behavioral: Silent Breathing
Sponsor: MetroHealth Medical Center
Recruiting
Differential Diagnosis of Persistent COVID-19 by Artificial Intelligence - Conditions: COVID-19; Fatigue; Distress Respiratory Syndrome; Cognitive Dysfunction; COVID-19 Recurrent; SARS CoV 2 Infection
Intervention: Other: Experimental tests
Sponsors: Fundacin Biomedica Galicia Sur; University of Vigo; Galician South Health Research Institute
Not yet recruiting
Dietary Modulation of Gut Microbiota in Overweight/Obese Adolescents and COVID-19 Infection - Conditions: Health Behavior; Child Development; Adolescent Obesity
Interventions: Dietary Supplement: Probiotics; Behavioral: Counselling on healthy eating, physical activity, and psychosocial stimulation; Dietary Supplement: Placebo probiotics
Sponsors: Indonesia University; Gadjah Mada University; Universitas Airlangga; University of Melbourne; The Indonesia Endowment Funds for Education, Ministry of Finance Indonesia
Recruiting
Randomised Clinical Trial to Evaluate the Efficacy of an Online Cognitive Rehabilitation Programme (COPERIA-COG) for Patients With Persistent Covid - Conditions: COVID-19; Neuro-Degenerative Disease; Psychological; SARS CoV 2 Infection
Intervention: Other: Sessions of cognitive stimulation
Sponsors: Fundacin Biomedica Galicia Sur; Centro de Investigación Biomédica en Red de Salud Mental; Galician South Health Research Institute
Not yet recruiting
A multi-reference poly-conformational method for in silico design, optimization, and repositioning of pharmaceutical compounds illustrated for selected SARS-CoV-2 ligands - BACKGROUND: This work presents a novel computational multi-reference poly-conformational algorithm for design, optimization, and repositioning of pharmaceutical compounds.
In silico analysis of the antidepressant fluoxetine and similar drugs as inhibitors of the human protein acid sphingomyelinase: a related SARS-CoV-2 inhibition pathway - Acid Sphingomyelinase (ASM) is a human phosphodiesterase that catalyzes the metabolism of sphingomyelin (SM) to ceramide and phosphocholine. ASM is involved in the plasma membrane cell repair and is associated with the lysosomal inner lipid membrane by nonbonding interactions. The disruption of those interaction would result in ASM release into the lysosomal lumen and consequent degradation of its structure. Furthermore, SARS-CoV-2 infection has been linked with ASM activation and with a…
Elevated ubiquitination contributes to protective immunity against severe SARS-CoV-2 infection - CONCLUSION: Ubiquitination characteristics provides new ideas for clinical intervention and prognostic guidance for COVID-19 patients.
VPS34-dependent control of apical membrane function of proximal tubule cells and nutrient recovery by the kidney - The lipid kinase VPS34 orchestrates autophagy, endocytosis, and metabolism and is implicated in cancer and metabolic disease. The proximal tubule in the kidney is a key metabolic organ that controls reabsorption of nutrients such as fatty acids, amino acids, sugars, and proteins. Here, by combining metabolomics, proteomics, and phosphoproteomics analyses with functional and superresolution imaging assays of mice with an inducible deficiency in proximal tubular cells, we revealed that VPS34…
In silico evaluation of flavonoids as potential inhibitors of SARS-CoV-2 main nonstructural proteins (Nsps)-amentoflavone as a multitarget candidate - Despite the development of vaccines against COVID-19 disease and the multiple efforts to find efficient drugs as treatment for this virus, there are too many social, political, economic, and health inconveniences to incorporate a fully accessible plan of prevention and therapy against SARS-CoV-2. In this sense, it is necessary to find nutraceutical/pharmaceutical drugs as possible COVID-19 preventives/treatments. Based on their beneficial effects, flavonoids are one of the most promising…
Defective Interfering Particles with Broad-Acting Antiviral Activity for Dengue, Zika, Yellow Fever, Respiratory Syncytial and SARS-CoV-2 Virus Infection - More than 100 arboviruses, almost all of which have an RNA genome, cause disease in humans. RNA viruses are causing unprecedented health system challenges worldwide, many with little or no specific therapies or vaccines available. Certain species of mosquito can carry dengue virus (DENV), Zika virus (ZIKV) and yellow fever virus (YFV), where co-infection of these viruses has occurred. Here, we found that purified synthetic defective interfering particles (DIPs) derived from DENV type 2 (DENV-2)…
Combination of Cefditoren and N-acetyl-l-Cysteine Shows a Synergistic Effect against Multidrug-Resistant Streptococcus pneumoniae Biofilms - Biofilm formation by Streptococcus pneumoniae is associated with colonization of the upper respiratory tract, including the carrier state, and with chronic respiratory infections in patients suffering from chronic obstructive pulmonary disease (COPD). The use of antibiotics alone to treat recalcitrant infections caused by biofilms is insufficient in many cases, requiring novel strategies based on a combination of antibiotics with other agents, including antibodies, enzybiotics, and antioxidants….
SARS-CoV-2 Spike Protein-Activated Dendritic Cell-Derived Extracellular Vesicles Induce Antiviral Immunity in Mice - The onset and spread of the SARS-CoV-2 virus have created an unprecedented universal crisis. Although vaccines have been developed against the parental SARS-CoV-2, outbreaks of the disease still occur through the appearance of different variants, suggesting a continuous need for improved and effective therapeutic strategies. Therefore, we developed a novel nanovesicle presenting Spike protein on the surface of the dendritic cell-derived extracellular vesicles (DEVs) for use as a potential…
Neurological disorders of COVID-19: insights to applications of natural products from plants and microorganisms - In addition to the typical respiratory manifestations, various disorders including involvement of the nerve system have been detected in COVID-19 ranging from 22 to 36%. Although growing records are focusing on neurological aspects of COVID-19, the pathophysiological mechanisms and related therapeutic methods remain obscure. Considering the increased concerns of SARS-CoV-2 potential for more serious neuroinvasion conditions, the present review attempts to focus on the neuroprotective effects of…
Onychomadesis in a COVID-19 patient - We report the case of a 67-year-old woman who developed onychomadesis on 9 of her fingers 2 months after recovering from COVID-19, with subsequent full nail regrowth after 4 months. The development of onychomadesis in COVID-19 is probably related to inhibition of nail proliferation due to fever, direct viral damage, or an inflammatory process associated with endothelial damage and obliterative microangiopathy in the nail matrix area. Clinicians should be aware of nail changes and actively seek…
An evaluation of the convergent validity of a face-to-face and virtual neuropsychological assessment counter balanced - The COVID-19 pandemic has highlighted the need for further research evaluating the validity of conducting a battery of neuropsychological assessments virtually compared with face-to-face administration. Previous research has suggested that some neuropsychological assessments yield valid results when administered virtually, however, much of the previous research focused on older adults. To determine the validity of virtually administered neuropsychological tests, 28 healthy participants were…
Nintedanib: a review of the properties, function, and usefulness to minimize COVID-19 induced lung injury - INTRODUCTION: In severe COVID-19 patients, acute respiratory distress syndrome (ARDS)-induced lung injury regularly causes a pulmonary fibrotic phase. There is no approved therapy for the COVID-19-induced pulmonary fibrosis. However, administration of an anti-fibrotic agent, in the early acute phase of the severe COVID-19 with ARDS may improve the infection outcomes.
Reactive-diffusion epidemic model on human mobility networks: Analysis and applications to COVID-19 in China - The complex dynamics of human mobility, combined with sporadic cases of local outbreaks, make assessing the impact of large-scale social distancing on COVID-19 propagation in China a challenge. In this paper, with the travel big dataset supported by Baidu migration platform, we develop a reactive-diffusion epidemic model on human mobility networks to characterize the spatio-temporal propagation of COVID-19, and a novel time-dependent function is incorporated into the model to describe the…
Home Sweet Home: Working from home and employee performance during the COVID-19 pandemic in the UK - In 2020, many governments responded to the COVID-19 pandemic by encouraging employees to work from home (WFH). Analyzing representative data from the UK, we find that the pandemic-led increases in WFH frequency are associated with a higher self-perceived hourly productivity among employed respondents. Interestingly, changes in WFH frequency are unrelated to the respondents’ weekly working hours and weekly wages during the same period. While the WFH-productivity association is more substantial in…
Fusion assays for screening of fusion inhibitors targeting SARS-CoV-2 entry and syncytia formation - Virus fusion process is evolutionarily conserved and provides a promising pan-viral target. Cell-cell fusion leads to syncytial formation and has implications in pathogenesis, virus spread and immune evasion. Drugs that target these processes can be developed into anti-virals. Here, we have developed sensitive, rapid, adaptable fusion reporter gene assays as models for plasma membrane and alternative fusion pathways as well as syncytial fusion in the severe acute respiratory syndrome coronavirus…