scholarly journals Coinfections with Respiratory Pathogens among COVID-19 Patients in Korea

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Kyoung Ho Roh ◽  
Yu Kyung Kim ◽  
Shin-Woo Kim ◽  
Eun-Rim Kang ◽  
Yong-Jin Yang ◽  
...  
Keyword(s):  
Influenza A ◽  
Pathogen Detection ◽  
Respiratory Virus ◽  
Respiratory Viruses ◽  
Diagnostic Value ◽  
Respiratory Pathogen ◽  
Nasopharyngeal Swab ◽  
Respiratory Pathogens ◽  
Oropharyngeal Swab ◽  
Syncytial Virus

The detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in upper and lower respiratory specimens and coinfection with other respiratory pathogens in patients with coronavirus disease 2019 (COVID-19) was investigated. Study subjects (N = 342) were retrospectively enrolled after being confirmed as SARS-CoV-2 positive, and their nasopharyngeal swab (NPS), oropharyngeal swab (OPS), and sputum specimens were restored for SARS-CoV-2 retesting and respiratory pathogen detection. The majority of the subjects (96.5%, N = 330) were confirmed as SARS-CoV-2 positive using NPS/OPS specimens. Among the COVID-19 patients (N = 342), 7.9% (N = 27) and 0.9% (N = 3) were coinfected with respiratory viruses and Mycoplasma pneumoniae, respectively, yielding an 8.8% (N = 30) overall respiratory pathogen coinfection rate. Of the respiratory virus coinfection cases (N = 27), 92.6% (N = 25) were coinfected with a single respiratory virus and 7.4% (N = 2) with two viruses (metapneumovirus/adenovirus and rhinovirus/bocavirus). No triple coinfections of other respiratory viruses or bacteria with SARS-CoV-2 were detected. Respiratory viruses coinfected in the patients with COVID-19 were as follows: rhinovirus (N = 7, 2.1%), respiratory syncytial virus A and B (N = 6, 1.8%), non-SARS-CoV-2 coronaviruses (229E, NL63, and OC43, N = 5, 1.5%), metapneumovirus (N = 4, 1.2%), influenza A (N = 3, 0.9%), adenovirus (N = 3, 0.9%), and bocavirus (N = 1, 0.3%). In conclusion, the diagnostic value of utilizing NPS/OPS specimens is excellent, and, as the first report in Korea, coinfection with respiratory pathogens was detected at a rate of 8.8% in patients with COVID-19.

scholarly journals Coinfection with Respiratory Pathogens in COVID-19 in Korea

2020 ◽  
Author(s):  
Kyoung Ho Roh ◽  
Yu Kyung Kim ◽  
Shin-Woo Kim ◽  
Eun-Rim Kang ◽  
Yong-Jin Yang ◽  
...  
Keyword(s):  
Influenza A ◽  
Respiratory Virus ◽  
Respiratory Viruses ◽  
Diagnostic Value ◽  
Respiratory Pathogens ◽  
Respiratory Specimen ◽  
Upper Respiratory ◽  
Viral Coinfection ◽  
Syncytial Virus ◽  
Respiratory Specimens

AbstractDetection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in upper and lower respiratory specimens and coinfection with other respiratory pathogens in patients with coronavirus disease 2019 (COVID-19) were investigated. From the study subjects (N = 258) retrospectively enrolled when confirmed as SARS-CoV-2 positive, nasopharyngeal (NPS), oropharyngeal swabs (OPS), and sputum specimens were restored for retesting SARS-CoV-2 and detecting respiratory pathogens. Majority of the study subjects (95.7%, N = 247) were confirmed as SARS-CoV-2 positive using NPS/OPS specimens, suggesting that the upper respiratory specimen is most valuable in detecting SARS-CoV-2. Coinfection rates in COVID-19 patients (N = 258) with respiratory pathogens were 9.7% (N = 25); 8.5% (N = 22) respiratory viruses and 1.2% (N = 3) Mycoplasma pneumoniae, an atypical bacterium. Of the respiratory virus coinfection cases (N = 22), 20 (90.9%) were co-infected with a single respiratory virus and 2 (0.8%) (metapneumovirus/adenovirus and rhinovirus/bocavirus 1/2/3/4) with two viruses. Respiratory viruses in single viral coinfection cases with SARS-CoV-2 were as follows: non-SARS-CoV-2 coronaviruses (229E, NL63, and OC43, N = 5, 1.9%), rhinovirus (N = 4, 1.6%), metapneumovirus (N = 3, 1.2%), influenza A (N = 3, 1.2%), respiratory syncytial virus A and B (N = 3, 1.2%), and adenovirus (N = 2, 0.8%). No mixed coinfections with respiratory viruses and M. pneumoniae were found. In conclusion, the diagnostic value of utilizing NPS/OPS specimen is excellent, and, as the first report in Korea, coinfection with respiratory pathogens were detected at a rate of 9.7% in patients with COVID-19.

scholarly journals Rapid disappearance of influenza following the implementation of COVID-19 mitigation measures in Hamilton, Ontario

2021 ◽  
Vol 47 (04) ◽  
pp. 202-208
Author(s):  
Kevin Zhang ◽  
Avika Misra ◽  
Patrick J Kim ◽  
Seyed M Moghadas ◽  
Joanne M Langley ◽  
...  
Keyword(s):  
Public Health ◽  
Influenza A ◽  
Respiratory Virus ◽  
Respiratory Viruses ◽  
Mitigation Measures ◽  
Nasopharyngeal Swab ◽  
Health Measures ◽  
Bayesian Linear Regression ◽  
Syncytial Virus ◽  
The Impact

Background: Public health measures, such as physical distancing and closure of schools and non-essential services, were rapidly implemented in Canada to interrupt the spread of the coronavirus disease 2019 (COVID-19). We sought to investigate the impact of mitigation measures during the spring wave of COVID-19 on the incidence of other laboratory-confirmed respiratory viruses in Hamilton, Ontario. Methods: All nasopharyngeal swab specimens (n=57,503) submitted for routine respiratory virus testing at a regional laboratory serving all acute-care hospitals in Hamilton between January 2010 and June 2020 were reviewed. Testing for influenza A and B, respiratory syncytial virus, human metapneumovirus, parainfluenza I–III, adenovirus, and rhinovirus/enterovirus was done routinely using a laboratory-developed polymerase chain reaction multiplex respiratory viral panel. A Bayesian linear regression model was used to determine the trend of positivity rates of all influenza samples for the first 26 weeks of each year from 2010 to 2019. The mean positivity rate of Bayesian inference was compared with the weekly reported positivity rate of influenza samples in 2020. Results: The positivity rate of influenza in 2020 diminished sharply following the population-wide implementation of COVID-19 interventions. Weeks 12–26 reported 0% positivity for influenza, with the exception of 0.1% reported in week 13. Conclusion: Public health measures implemented during the COVID-19 pandemic were associated with a reduced incidence of other respiratory viruses and should be considered to mitigate severe seasonal influenza and other respiratory virus pandemics.

scholarly journals Rapid disappearance of influenza following the implementation of COVID-19 mitigation measures in Hamilton, Ontario

2020 ◽  
Author(s):  
Kevin Zhang ◽  
Avika Misra ◽  
Patrick J. Kim ◽  
Seyed M. Moghadas ◽  
Joanne M. Langley ◽  
...  
Keyword(s):  
Public Health ◽  
Influenza A ◽  
Respiratory Virus ◽  
Respiratory Viruses ◽  
Mitigation Measures ◽  
Nasopharyngeal Swab ◽  
Health Measures ◽  
Syncytial Virus ◽  
Novel Coronavirus ◽  
The Impact

AbstractBackgroundPublic health measures, such as social distancing and closure of schools and non-essential services, were rapidly implemented in Canada to interrupt the spread of the novel coronavirus disease 2019 (COVID-19).ObjectiveWe sought to investigate the impact of mitigation measures during the spring wave of COVID-19 on the incidence of other laboratory-confirmed respiratory viruses in Hamilton, Ontario.MethodsAll nasopharyngeal swab specimens (n = 57,503) submitted for routine respiratory virus testing at a regional laboratory serving all acute-care hospitals in Hamilton, Ontario between January 2010 and June 2020 were reviewed. Testing for influenza A/B, respiratory syncytial virus, human metapneumovirus, parainfluenza I–III, adenovirus and rhinovirus/enterovirus was done routinely using a laboratory-developed polymerase chain reaction multiplex respiratory viral panel. A Bayesian linear regression model was used to determine the trend of positivity rates of all influenza samples for the first 26 weeks of each year from 2010 to 2019. The mean positivity rate of Bayesian inference was compared with the weekly reported positivity rate of influenza samples in 2020.ResultsThe positivity rate of influenza in 2020 diminished sharply following the population-wide implementation of COVID-19 interventions. Weeks 12-26 reported 0% positivity for influenza, with the exception of 0.1% reported in week 13.ConclusionsPublic health measures implemented during the COVID-19 pandemic were associated with a reduced incidence of other respiratory viruses and should be considered to mitigate severe seasonal influenza and other respiratory virus pandemics.

scholarly journals Circulation of Respiratory Viruses in Hospitalized Adults before and during the COVID-19 Pandemic in Brescia, Italy: A Retrospective Study

2021 ◽  
Vol 18 (18) ◽  
pp. 9525
Author(s):  
Maria Antonia De Francesco ◽  
Caterina Pollara ◽  
Franco Gargiulo ◽  
Mauro Giacomelli ◽  
Arnaldo Caruso
Keyword(s):  
Respiratory Syncytial Virus ◽  
Influenza A ◽  
Statistical Significance ◽  
Respiratory Viruses ◽  
Influenza Viruses ◽  
Contact Tracing ◽  
Nucleic Acid Detection ◽  
Respiratory Pathogens ◽  
Syncytial Virus ◽  
Human Coronaviruses

Different preventive public health measures were adopted globally to limit the spread of SARS-CoV-2, such as hand hygiene and the use of masks, travel restrictions, social distance actions such as the closure of schools and workplaces, case and contact tracing, quarantine and lockdown. These measures, in particular physical distancing and the use of masks, might have contributed to containing the spread of other respiratory viruses that occurs principally by contact and droplet routes. The aim of this study was to evaluate the prevalence of different respiratory viruses (influenza viruses A and B, respiratory syncytial virus, parainfluenza viruses 1, 2, 3 and 4, rhinovirus, adenovirus, metapneumovirus and human coronaviruses) after one year of the pandemic. Furthermore, another aim was to evaluate the possible impact of these non-pharmaceutical measures on the circulation of seasonal respiratory viruses. This single center study was conducted between January 2017–February 2020 (pre-pandemic period) and March 2020–May 2021 (pandemic period). All adults >18 years with respiratory symptoms and tested for respiratory pathogens were included in the study. Nucleic acid detection of all respiratory viruses was performed by multiplex real time PCR. Our results show that the test positivity for influenza A and B, metapneumovirus, parainfluenza virus, respiratory syncytial virus and human coronaviruses decreased with statistical significance during the pandemic. Contrary to this, for adenovirus the decrease was not statistically significant. Conversely, a statistically significant increase was detected for rhinovirus. Coinfections between different respiratory viruses were observed during the pre-pandemic period, while the only coinfection detected during pandemic was between SARS-CoV-2 and rhinovirus. To understand how the preventive strategies against SARS-CoV-2 might alter the transmission dynamics and epidemic patterns of respiratory viruses is fundamental to guide future preventive recommendations.

scholarly journals Comparison of detection rate of 16 sampling methods for respiratory viruses: a Bayesian network meta-analysis of clinical data and systematic review

2020 ◽  
Vol 5 (11) ◽  
pp. e003053
Author(s):  
Nianzong Hou ◽  
Kai Wang ◽  
Haiyang Zhang ◽  
Mingjian Bai ◽  
Hao Chen ◽  
...  
Keyword(s):  
Influenza A ◽  
Detection Rate ◽  
Sampling Methods ◽  
Meta Analysis ◽  
Random Effect ◽  
Splitting Method ◽  
Respiratory Viruses ◽  
Nasopharyngeal Swab ◽  
Specific Virus ◽  
Syncytial Virus

BackgroundRespiratory viruses (RVs) is a common cause of illness in people of all ages, at present, different types of sampling methods are available for respiratory viral diagnosis. However, the diversity of available sampling methods and the limited direct comparisons in randomised controlled trials (RCTs) make decision-making difficult. We did a network meta-analysis, which accounted for both direct and indirect comparisons, to determine the detection rate of different sampling methods for RVs.MethodsRelevant articles were retrieved comprehensively by searching the online databases of PubMed, Embase and Cochrane published before 25 March 2020. With the help of R V.3.6.3 software and ‘GeMTC V.0.8.2’ package, network meta-analysis was performed within a Bayesian framework. Node-splitting method and I2 test combined leverage graphs and Gelman-Rubin-Brooks plots were conducted to evaluate the model’s accuracy. The rank probabilities in direct and cumulative rank plots were also incorporated to rank the corresponding sampling methods for overall and specific virus.Results16 sampling methods with 54 438 samples from 57 literatures were ultimately involved in this study. The model indicated good consistency and convergence but high heterogeneity, hence, random-effect analysis was applied. The top three sampling methods for RVs were nasopharyngeal wash (NPW), mid-turbinate swab (MTS) and nasopharyngeal swab (NPS). Despite certain differences, the results of virus-specific subanalysis were basically consistent with RVs: MTS, NPW and NPS for influenza; MTS, NPS and NPW for influenza-a and b; saliva, NPW and NPS for rhinovirus and parainfluenza; NPW, MTS and nasopharyngeal aspirate for respiratory syncytial virus; saliva, NPW and MTS for adenovirus and sputum; MTS and NPS for coronavirus.ConclusionThis network meta-analysis provides supporting evidences that NPW, MTS and NPS have higher diagnostic value regarding RVs infection, moreover, particular preferred methods should be considered in terms of specific virus pandemic. Of course, subsequent RCTs with larger samples are required to validate our findings.

scholarly journals Surveillance of respiratory viruses among children attending a primary school in rural coastal Kenya

2020 ◽  
Vol 5 ◽  
pp. 63 ◽  
Author(s):  
Irene Wangwa Adema ◽  
Everlyn Kamau ◽  
Joyce Uchi Nyiro ◽  
Grieven P. Otieno ◽  
Clement Lewa ◽  
...  
Keyword(s):  
Primary School ◽  
School Children ◽  
Respiratory Virus ◽  
Healthcare Facility ◽  
Respiratory Viruses ◽  
Outpatient Setting ◽  
Nasopharyngeal Swab ◽  
Coastal Kenya ◽  
Syncytial Virus

Background: Respiratory viruses are primary agents of respiratory tract diseases. Knowledge on the types and frequency of respiratory viruses affecting school-children is important in determining the role of schools in transmission in the community and identifying targets for interventions. Methods: We conducted a one-year (term-time) surveillance of respiratory viruses in a rural primary school in Kilifi County, coastal Kenya between May 2017 and April 2018. A sample of 60 students with symptoms of ARI were targeted for nasopharyngeal swab (NPS) collection weekly.  Swabs were screened for 15 respiratory virus targets using real time PCR diagnostics. Data from respiratory virus surveillance at the local primary healthcare facility was used for comparison. Results: Overall, 469 students aged 2-19 years were followed up for 220 days. A total of 1726 samples were collected from 325 symptomatic students; median age of 7 years (IQR 5-11). At least one virus target was detected in 384 (22%) of the samples with a frequency of 288 (16.7%) for rhinovirus, 47 (2.7%) parainfluenza virus, 35 (2.0%) coronavirus, 15 (0.9%) adenovirus, 11 (0.6%) respiratory syncytial virus (RSV) and 5 (0.3%) influenza virus.  The proportion of virus positive samples was higher among lower grades compared to upper grades (25.9% vs 17.5% respectively; χ2 = 17.2, P -value <0.001). Individual virus target frequencies did not differ by age, sex, grade, school term or class size. Rhinovirus was predominant in both the school and outpatient setting. Conclusion: Multiple respiratory viruses circulated in this rural school population.  Rhinovirus was dominant in both the school and outpatient setting and RSV was of notably low frequency in the school. The role of school children in transmitting viruses to the household setting is still unclear and further studies linking molecular data to contact patterns between the school children and their households are required.

scholarly journals 1791. Novel Metabolomics Approach for the Diagnosis of Respiratory Viruses Directly from Nasopharyngeal Specimens

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S660-S660
Author(s):  
Catherine Hogan ◽  
Anthony T Le ◽  
Justin Mak ◽  
Malaya Kumar. Sahoo ◽  
Tina Cowan ◽  
...  
Keyword(s):  
Host Cell ◽  
Influenza A ◽  
Component Analysis ◽  
Respiratory Viruses ◽  
Primary Component ◽  
Nasopharyngeal Swab ◽  
Influenza B ◽  
Compound Identification ◽  
Influenza A H1n1 ◽  
Syncytial Virus

Abstract Background Respiratory virus infections are important causes of morbidity and mortality among pediatric and adult patients. These viruses infect respiratory epithelial cells, where they may induce specific metabolite alterations. As a proof-of-concept, we investigate the novel use of liquid chromatography (LC) combined with quadrupole time-of-flight mass spectrometry (Q-TOF) for the study of host cell metabolite alterations to diagnose and differentiate respiratory viruses. Methods We studied nasopharyngeal swab samples positive for respiratory viruses by the eSensor Respiratory Viral Panel (GenMark Diagnostics, Carlsbad, CA). Banked, frozen samples (−80°C) stored in viral transport media were retrieved and thawed. Aliquots of 100 μL were centrifuged at 13.3 × g for 15 minutes, and the filtrate was analyzed by Agilent 6545 Quadrupole LC/Q-TOF (Agilent Technologies, Santa Clara, CA). Compounds were separated using a novel column arrangement based on hydrophobicity and charge using a quaternary solvent manager, followed by accurate mass analysis by LC/Q-TOF. Agilent Mass Profiler 3D principal component analysis was performed, and compound identification was completed using the METLIN metabolite database. Results A total of 235 specimens were tested by LC/Q-TOF, including 195 positive specimens [including adenovirus, coronavirus, influenza A H1N1 and H3N2, influenza B, human metapneumovirus, parainfluenza viruses 1, 2, 3, and 4, respiratory syncytial virus (RSV), and rhinovirus] as well as 40 negative clinical specimens. LC/Q-TOF primary component analysis (PCA) allowed preliminary identification of key metabolites that distinguished all virus-positive specimens compared with the negative group, and differentiated respiratory viruses from one another including between influenza A 2009 H1N1 and H3N2 subtypes (Figure 1). Conclusion Preliminary data from our LC/Q-TOF analysis show that respiratory viruses exhibit different host cell metabolomic profiles that allow viral differentiation to the species level, and for influenza A virus, the subtype level. This metabolomic approach has substantial potential for diagnostic applications in infectious diseases directly from patient samples, and may be eventually adapted for point-of-care testing. Disclosures All authors: No reported disclosures.

scholarly journals Etiology of Coinfections in Children with Influenza during 2015/16 Winter Season in Nepal

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Bishnu Prasad Upadhyay ◽  
Megha Raj Banjara ◽  
Ram Krishna Shrestha ◽  
Masato Tashiro ◽  
Prakash Ghimire
Keyword(s):  
Influenza Virus ◽  
Respiratory Syncytial Virus ◽  
Influenza A ◽  
Antimicrobial Agents ◽  
Respiratory Infections ◽  
Winter Season ◽  
Parainfluenza Virus ◽  
Respiratory Pathogen ◽  
Respiratory Pathogens ◽  
Syncytial Virus

Acute respiratory infections (ARIs) are one of the major public health problems in developing countries like Nepal. Besides the influenza, several other pathogens are responsible for acute respiratory infection in children. Etiology of infections is poorly characterized at the course of clinical management, and hence empirical antimicrobial agents are used. The objective of this study was to characterize the influenza and other respiratory pathogens by real-time PCR assay. A total of 175 throat swab specimens of influenza-positive cases collected at National Influenza Center, Nepal, during the 2015/16 winter season were selected for detecting other respiratory copathogens. Total nucleic acid was extracted using Pure Link viral RNA/DNA mini kit (Invitrogen), and multiplex RT-PCR assays were performed. Influenza A and B viruses were found in 120 (68.6%) and 55 (31.4%) specimens, respectively, among which coinfections were found in 106 (60.6%) specimens. Among the influenza A-positive cases, 25 (20.8%) were A/H1N1 pdm09 and 95 (79.2%) were A/H3 subtypes. Viruses coinfected frequently with influenza virus in children were rhinovirus (26; 14.8%), respiratory syncytial virus A/B (19; 10.8%), adenovirus (14; 8.0%), coronavirus (CoV)-HKU1 (14; 8.0%), CoV-OC43 (5; 2.9%), CoV-229E (2; 1.1%), metapneumovirus A/B (5; 2.9%), bocavirus (6; 3.4%), enterovirus (5; 2.9%), parainfluenza virus-1 (3; 1.7%), and parainfluenza virus-3 (2; 1.1%). Coinfection of Mycoplasma pneumoniae with influenza virus was found in children (5; 2.8%). Most of the viral infection occurred in young children below 5 years of age. In addition to influenza virus, nine different respiratory pathogens were detected, of which coinfections of rhinovirus and respiratory syncytial virus A/B were predominantly found in children. This study gives us better information on the respiratory pathogen profile and coinfection combinations which are important for diagnosis and treatment of ARIs.

Mortality Following Isolation of Various Respiratory Viruses in Nursing Home Residents

1999 ◽  
Vol 20 (12) ◽  
pp. 812-815 ◽  
Author(s):  
Paul J. Drinka ◽  
Stefan Gravenstein ◽  
Elizabeth Langer ◽  
Peggy Krause ◽  
Peter Shult
Keyword(s):  
Nursing Home ◽  
Influenza A ◽  
Skilled Nursing Facility ◽  
Nursing Home Residents ◽  
Respiratory Illness ◽  
Respiratory Viruses ◽  
Influenza B ◽  
Respiratory Pathogens ◽  
Syncytial Virus ◽  
Viral Respiratory

AbstractObjective:To compare mortality following isolation of influenza A to mortality following isolation of other respiratory viruses in a nursing home.Setting:The Wisconsin Veterans Home, a 688-bed skilled nursing facility for veterans and their spouses.Participants:All residents with respiratory viral isolates obtained between 1988 and 1999.Design:Thirty-day mortality was determined following each culture-proven illness.Results:Thirty-day mortality following isolation of viral respiratory pathogens was 4.7% (15/322) for influenza A 5.4% (7/129) for influenza B; 6.1% (3/49) for parainfluenza type 1; 0% (0/26) for parainfluenza types 2,3, and 4; 0% (0/26) for respiratory syncytial virus (RSV); and 1.6% (1/61) for rhinovirus.Conclusions:Mortality following isolation of certain other respiratory viruses may be comparable to that following influenza A (although influenza A mortality might be higher without vaccination and antiviral agents). The use of uniform secretion precautions for all viral respiratory illness deserves consideration in nursing homes.

scholarly journals Magnetofluidic platform for rapid multiplexed screening of SARS-CoV-2 variants and respiratory pathogens

2021 ◽  
Author(s):  
Alexander Y Trick ◽  
Fan-En Chen ◽  
Liben Chen ◽  
Pei-Wei Lee ◽  
Alexander C Hasnain ◽  
...  
Keyword(s):  
Influenza A ◽  
Respiratory Symptoms ◽  
Limit Of Detection ◽  
Respiratory Viruses ◽  
Nasopharyngeal Swab ◽  
Influenza B ◽  
Respiratory Pathogens ◽  
Multiplexed Detection ◽  
New Challenges ◽  
Sensitivity Specificity

The rise of highly transmissible SARS-CoV-2 variants brings new challenges and concerns with vaccine efficacy, diagnostic sensitivity, and public health responses in the fight to end the pandemic. Widespread detection of variant strains will be critical to inform policy decisions to mitigate further spread, and post-pandemic multiplexed screening of respiratory viruses will be necessary to properly manage patients presenting with similar respiratory symptoms. In this work, we have developed a portable, magnetofluidic cartridge platform for automated PCR testing in <30 min. Cartridges were designed for multiplexed detection of SARS-CoV-2 with either distinctive variant mutations or with Influenza A and B. The platform demonstrated a limit of detection down to 2 copies/μL SARS-CoV-2 RNA with successful identification of B.1.1.7 and B.1.351 variants. The multiplexed SARS-CoV-2/Flu assay was validated using archived clinical nasopharyngeal swab eluates (n = 116) with an overall sensitivity/specificity of 98.1%/95.2%, 85.7%/100%, 100%/98.2%, respectively, for SARS-CoV-2, Influenza A, and Influenza B. Further testing with saliva (n = 14) demonstrated successful detection of all SARS-CoV-2 positive samples with no false-positives.

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