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Metsky HC, Welch NL, Pillai PP, Haradhvala NJ, Rumker L, Mantena S, Zhang YB, Yang DK, Ackerman CM, Weller J, Blainey PC, Myhrvold C, Mitzenmacher M, Sabeti PC. Designing sensitive viral diagnostics with machine learning. Nat Biotechnol 2022; 40:1123-1131. [PMID: 35241837 PMCID: PMC9287178 DOI: 10.1038/s41587-022-01213-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 01/07/2022] [Indexed: 12/20/2022]
Abstract
Design of nucleic acid-based viral diagnostics typically follows heuristic rules and, to contend with viral variation, focuses on a genome's conserved regions. A design process could, instead, directly optimize diagnostic effectiveness using a learned model of sensitivity for targets and their variants. Toward that goal, we screen 19,209 diagnostic-target pairs, concentrated on CRISPR-based diagnostics, and train a deep neural network to accurately predict diagnostic readout. We join this model with combinatorial optimization to maximize sensitivity over the full spectrum of a virus's genomic variation. We introduce Activity-informed Design with All-inclusive Patrolling of Targets (ADAPT), a system for automated design, and use it to design diagnostics for 1,933 vertebrate-infecting viral species within 2 hours for most species and within 24 hours for all but three. We experimentally show that ADAPT's designs are sensitive and specific to the lineage level and permit lower limits of detection, across a virus's variation, than the outputs of standard design techniques. Our strategy could facilitate a proactive resource of assays for detecting pathogens.
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Affiliation(s)
- Hayden C Metsky
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA.
| | - Nicole L Welch
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Virology Program, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | | | - Nicholas J Haradhvala
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Biophysics Program, Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Bioinformatics and Integrative Genomics Program, Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Sreekar Mantena
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Yibin B Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - David K Yang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cheri M Ackerman
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | | | - Paul C Blainey
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA
| | - Cameron Myhrvold
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Michael Mitzenmacher
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Pardis C Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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Hawkins SFC, Guest PC. Multiplex Quantitative Polymerase Chain Reaction Diagnostic Test for SARS-CoV-2 and Influenza A/B Viruses. Methods Mol Biol 2022; 2511:53-65. [PMID: 35838951 DOI: 10.1007/978-1-0716-2395-4_4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
COVID-19 disease caused by the novel SARS-CoV-2 virus represents a new challenge for healthcare systems. The molecular confirmation of infection is crucial to guide public health decision-making. This task could be made more difficult during the next influenza season. Thus, a rapid and user-friendly diagnostic test to discriminate SARS-CoV-2 from influenza viruses is urgently needed. Here, we present a multiplex quantitative polymerase chain reaction (qPCR) assay capable of distinguishing SARS-CoV-2 from influenza A and B cases. This assay benefits from the use of an inhibitor tolerant PCR mix which obviates the need for the rate-limiting extraction step, allowing for a more rapid and accurate analysis.
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Affiliation(s)
| | - Paul C Guest
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
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Mani K, Thirumalmuthu K, Kathiresan DS, Ramalingam S, Sankaran R, Jeyaraj S. In-silico analysis of Covid-19 genome sequences of Indian origin: Impact of mutations in identification of SARS-Co-V2. Mol Cell Probes 2021; 58:101748. [PMID: 34146663 PMCID: PMC8214951 DOI: 10.1016/j.mcp.2021.101748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/29/2021] [Accepted: 06/12/2021] [Indexed: 11/16/2022]
Abstract
Covid-19 disease caused by SARS-CoV-2 is still being transmitted in developed and developing countries irrespective of healthcare setups. India with 1.3 billion people in the world is severely affected by Covid-19 with 11.3 million cases and 157 000 deaths so far. We have assessed the mismatches in WHO recommended rRT-PCR assays primer and probe binding regions against SARS-CoV-2 Indian genome sequences through in-silico bioinformatics analysis approach. Primers and probe sequences belonging to CN-CDC-ORF1ab from China and HKU-ORF1b from Hong Kong targeting ORF1ab gene while NIH-TH-N from Thailand, HKU-N from Hong Kong and US-CDCN-2 from USA targeting N genes displayed accurate matches (>98.3%) with the 2019 novel corona virus sequences from India. On the other hand, none of the genomic sequences displayed exact match with the primer/probe sequences belonging to Charité-ORF1b from Germany targeting ORF1ab gene. We think it will be worthwhile to release this information to the clinical and medical communities working in Indian Covid-19 frontline taskforce to tackle the recently emerging Covid-19 outbreaks as of March-2021.
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Affiliation(s)
- Kabilan Mani
- PSG Center for Molecular Medicine & Therapeutics, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, 641 004, India; PSG Centre for Genetics and Molecular Biology, Off Avinashi Road, Peelamedu, Coimbatore, Tamil Nadu, 641 004, India
| | - Kannan Thirumalmuthu
- Lipid and Nutrition Laboratory, Department of Lipid Science, Council of Scientific and Industrial Research-Central Food Technological Research Institute, Mysuru, India
| | - Divya Sri Kathiresan
- PSG Center for Molecular Medicine & Therapeutics, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, 641 004, India; PSG Centre for Genetics and Molecular Biology, Off Avinashi Road, Peelamedu, Coimbatore, Tamil Nadu, 641 004, India
| | - Sudha Ramalingam
- PSG Center for Molecular Medicine & Therapeutics, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, 641 004, India; PSG Centre for Genetics and Molecular Biology, Off Avinashi Road, Peelamedu, Coimbatore, Tamil Nadu, 641 004, India; Department of Community Medicine, PSG Institute of Medical Sciences and Research, 641004, Coimbatore, Tamil Nadu, India
| | - Ramalingam Sankaran
- PSG Center for Molecular Medicine & Therapeutics, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, 641 004, India; PSG Centre for Genetics and Molecular Biology, Off Avinashi Road, Peelamedu, Coimbatore, Tamil Nadu, 641 004, India; Department of Pharmacology, PSG Institute of Medical Sciences and Research, 641 004, Coimbatore, Tamil Nadu, India
| | - Sankarganesh Jeyaraj
- PSG Center for Molecular Medicine & Therapeutics, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, 641 004, India; PSG Centre for Genetics and Molecular Biology, Off Avinashi Road, Peelamedu, Coimbatore, Tamil Nadu, 641 004, India.
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Banerjee D, Kanwar N, Hassan F, Lankachandra K, Selvarangan R. Comparative analysis of Four sample-to-answer influenza A/B and RSV nucleic acid amplification assays using adult respiratory specimens. J Clin Virol 2019; 118:9-13. [PMID: 31302479 DOI: 10.1016/j.jcv.2019.07.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 06/14/2019] [Accepted: 07/03/2019] [Indexed: 01/13/2023]
Abstract
BACKGROUND The use of Sample-to-answer (STA) platforms for the detection of influenza A/B and respiratory syncytial virus (RSV) have greatly improved patient care. These diagnostic assays based on nucleic acid amplification are rapid, accurate and relatively easy to perform. OBJECTIVES We compared four such platforms for detecting FluA, FluB, and RSV from adult respiratory specimens: Hologic Panther Fusion® Flu A/B/RSV (Fusion), Cobas® Influenza A/B & RSV (Liat), Luminex Aries® Flu A/B & RSV (Aries), and Diasorin SimplexaTM Flu A/B & RSV (Simplexa). STUDY DESIGN Nasopharyngeal (NP) swabs (n = 224) from adults were tested on these platforms and results were compared to Center for Disease Control and Prevention recommended real-time RT-PCR assay for influenza A/B and RSV. Subtyping for FluA and FluB was performed for discrepant analysis where applicable. RESULTS Of the 82 FluA, 26 FluB, 15 RSV-positive specimens tested, the positive and negative percentage agreements (PPA and NPA respectively) for FluA detection were 100/100 (Fusion), 95.1/100 (Liat), 92.5/100 (Aries), and 84.1/99.3 (Simplexa); PPA and NPA for FluB detection were 92.3/99.5 (Fusion), 96/99.5 (Liat), 100/99.5 (Aries), and 80.8/100 (Simplexa); and for RSV detection were 100/100 (Fusion), 100/100 (Liat), 88.6/99.5 (Aries), and 73.3/100 (Simplexa). 82 confirmed FluA included 23 pH1N1 and 57 H3N2 strains with 2 strains remaining untyped. Of the 26 confirmed FluB, 25 were of the Yamagata lineage and 1 of unknown lineage. CONCLUSION Only 2 STA platforms demonstrated >95% PPA for the detection of all three targets while all the 4 platforms demonstrated >95% NPA for FluA, FluB and RSV.
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Affiliation(s)
- Dithi Banerjee
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri, USA.
| | - Neena Kanwar
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri, USA
| | - Ferdaus Hassan
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri, USA
| | - Kamani Lankachandra
- Department of Pathology and Laboratory Medicine, Truman Medical Center, Kansas City, Missouri, USA
| | - Rangaraj Selvarangan
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri, USA
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Comparison of Six Sample-to-Answer Influenza A/B and Respiratory Syncytial Virus Nucleic Acid Amplification Assays Using Respiratory Specimens from Children. J Clin Microbiol 2018; 56:JCM.00930-18. [PMID: 30185508 DOI: 10.1128/jcm.00930-18] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 08/28/2018] [Indexed: 01/04/2023] Open
Abstract
The rapid and accurate detection of influenza A virus (FluA), influenza B virus (FluB), and respiratory syncytial virus (RSV) improves patient care. Sample-to-answer (STA) platforms based on nucleic acid amplification and detection of these viruses are simple, automated, and accurate. We compared six such platforms for the detection of FluA, FluB, and RSV: Cepheid GeneXpert Xpress Flu/RSV (Xpert), Hologic Panther Fusion Flu A/B/RSV (Fusion), Cobas influenza A/B & RSV (Liat), Luminex Aries Flu A/B & RSV (Aries), BioFire FilmArray respiratory panel (RP), and Diasorin Simplexa Flu A/B & RSV (Simplexa). Nasopharyngeal (NP) swab specimens (n = 225) from children previously tested by RP were assessed on these platforms. The results were compared to those of the Centers for Disease Control and Prevention (CDC)-developed real-time reverse transcription-PCR (rRT-PCR) assay for influenza A/B viruses and RSV. Subtyping for FluA and FluB was performed for discrepant analysis where applicable. The percent sensitivities/specificities for FluA detection were 100/100 (Fusion), 98.6/99.3 (Xpert), 100/100 (Liat), 98.6/100 (Aries), 98.6/100 (Simplexa), and 100/100 (RP). The percent sensitivities/specificities for FluB detection were 100/100 (Fusion), 97.9/99.4 (Xpert), 97.9/98.3 (Liat), 93.7/99.4 (Aries), 85.4/99.4 (Simplexa), and 95.8/97.7 (RP); and those for RSV detection were 98.1/99.4 (Xpert), 98.1/99.4 (Liat), 96.3/100 (Fusion), 94.4/100 (Aries), 87/94.4 (Simplexa), and 94.4/100 (RP). The 75 strains confirmed to be FluA included 29 pH1N1, 39 H3N2, 4 sH1N1, and 3 untyped strains. The 48 strains confirmed to be FluB included 33 strains of the Yamagata lineage, 13 of the Victoria lineage, 1 of both the Yamagata and Victoria lineages, and 1 of an unknown lineage. All six STA platforms demonstrated >95% sensitivity for FluA detection, while three platforms (Fusion, Xpert, and Liat) demonstrated >95% sensitivity for FluB and RSV detection.
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A Multiplex PCR/LDR Assay for Viral Agents of Diarrhea with the Capacity to Genotype Rotavirus. Sci Rep 2018; 8:13215. [PMID: 30181651 PMCID: PMC6123451 DOI: 10.1038/s41598-018-30301-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 07/27/2018] [Indexed: 12/11/2022] Open
Abstract
Rotavirus and noroviruses are major causes of diarrhea. Variable rotavirus vaccination efficacy in Africa and Asia is multifactorial, including the diversity of circulating strains and viral co-infection. We describe a multiplexed assay that detects and genotypes viruses from stool specimens. It includes a one-step reverse transcriptase PCR reaction, a ligase detection reaction (LDR), then hybridization of fluorescent products to micro-beads. In clinical samples it detects rotavirus, caliciviruses (sapovirus and norovirus), mixed infections, and genotypes or genogroups of rotaviruses and noroviruses, respectively. The assay also has the capacity to detect hepatitis A. The assay was validated on reference isolates and 296 stool specimens from the US and Ghana. The assay was 97% sensitive and 100% specific. The genogroup was concordant in 100% of norovirus, and the genotype in 91% and 89% of rotavirus G- and P-types, respectively. Two rare rotavirus strains, G6P[6] and G6P[8], were detected in stool specimens from Ghana. The high-throughput assay is sensitive, specific, and may be of utility in the epidemiological surveillance for rare and emerging viral strains post-rotavirus vaccine implementation.
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Garza JA, Taylor AB, Sherwood LJ, Hart PJ, Hayhurst A. Unveiling a Drift Resistant Cryptotope within Marburgvirus Nucleoprotein Recognized by Llama Single-Domain Antibodies. Front Immunol 2017; 8:1234. [PMID: 29038656 PMCID: PMC5630700 DOI: 10.3389/fimmu.2017.01234] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 09/19/2017] [Indexed: 12/29/2022] Open
Abstract
Marburg virus (MARV) is a highly lethal hemorrhagic fever virus that is increasingly re-emerging in Africa, has been imported to both Europe and the US, and is also a Tier 1 bioterror threat. As a negative sense RNA virus, MARV has error prone replication which can yield progeny capable of evading countermeasures. To evaluate this vulnerability, we sought to determine the epitopes of 4 llama single-domain antibodies (sdAbs or VHH) specific for nucleoprotein (NP), each capable of forming MARV monoclonal affinity reagent sandwich assays. Here, we show that all sdAb bound the C-terminal region of NP, which was produced recombinantly to derive X-ray crystal structures of the three best performing antibody-antigen complexes. The common epitope is a trio of alpha helices that form a novel asymmetric basin-like depression that accommodates each sdAb paratope via substantial complementarity-determining region (CDR) restructuring. Shared core contacts were complemented by unique accessory contacts on the sides and overlooks of the basin yielding very different approach routes for each sdAb to bind the antigen. The C-terminal region of MARV NP was unable to be crystallized alone and required engagement with sdAb to form crystals suggesting the antibodies acted as crystallization chaperones. While gross structural homology is apparent between the two most conserved helices of MARV and Ebolavirus, the positions and morphologies of the resulting basins were markedly different. Naturally occurring amino acid variations occurring in bat and human Marburgvirus strains all mapped to surfaces distant from the predicted sdAb contacts suggesting a vital role for the NP interface in virus replication. As an essential internal structural component potentially interfacing with a partner protein it is likely the C-terminal epitope remains hidden or “cryptic” until virion disruption occurs. Conservation of this epitope over 50 years of Marburgvirus evolution should make these sdAb useful foundations for diagnostics and therapeutics resistant to drift.
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Affiliation(s)
- John Anthony Garza
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Alexander Bryan Taylor
- X-Ray Crystallography Core Laboratory, Department of Biochemistry and Structural Biology, Institutional Research Cores, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Laura Jo Sherwood
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Peter John Hart
- X-Ray Crystallography Core Laboratory, Department of Biochemistry and Structural Biology, Institutional Research Cores, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.,Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio, TX, United States
| | - Andrew Hayhurst
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, TX, United States
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Lee HK, Loh TP, Lee CK, Tang JWT, Chiu L, Koay ESC. A universal influenza A and B duplex real-time RT-PCR assay. J Med Virol 2013; 84:1646-51. [PMID: 22930514 PMCID: PMC7166972 DOI: 10.1002/jmv.23375] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
A high throughput universal influenza A and B duplex real-time RT-PCR was developed to meet effectively the heightened surveillance and diagnostic needs essential in managing influenza infections and outbreaks. Primers and probes, designed to target highly conserved regions of the matrix protein of influenza A and the nucleoprotein of influenza B, were optimized using the high-throughput LightCycler 480 II system. Analytical sensitivity and specificity were characterized using RNA transcripts diluted serially, archived non-influenza respiratory viruses, and proficiency test samples. Eighty-nine clinical samples were tested in parallel against existing influenza A and B monoplex assays. Once validated, the duplex assay was applied prospectively on 2,458 clinical specimens that were later subtyped. In April 2011, the emergence of an influenza B variant necessitated the inclusion of an additional modified probe for influenza B and revalidation of the revised protocol. The lower detection limits of the assay were 50 copies/PCR. There was no cross-reactivity against any non-influenza respiratory virus and all proficiency testing materials were identified correctly. The parallel testing revealed a 98.9% overall agreement. Routine application of the assay revealed high sensitivity and specificity for the detection of influenza A/H1N1/2009, A/H3N2 and influenza B. Assay C(q) values correlated well between the pre- and post-revision protocols for influenza A (r(2) = 0.998) and B (r(2) = 0.999). The revised protocol detected three additional novel influenza B variant cases in 200 specimens reported previously as influenza B negative. This in-house assay offers a highly sensitive and specific option for laboratories seeking to expand their influenza testing capacity.
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Affiliation(s)
- Hong Kai Lee
- Molecular Diagnosis Centre, Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
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Tang JW, Loh TP, Tambyah PA, Koay ESC. Influenza outbreaks in Singapore: epidemiology, diagnosis, treatment and prevention. Expert Rev Anti Infect Ther 2012; 10:751-60. [PMID: 22943399 DOI: 10.1586/eri.12.63] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
With the recent influenza A/H1N1 2009 pandemic still spreading through global populations, there has been an increased focus on optimizing the prevention, diagnosis and treatment of influenza infections, as well as the epidemiology of the virus. Clinical and epidemiological data on influenza infections in tropical countries have been relatively sparse until fairly recently, and it is the aim of this review to close some of these gaps by examining the behavior of influenza viruses in the tropical Singaporean population.
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Affiliation(s)
- Julian W Tang
- Alberta Provincial Laboratory for Public Health, University of Alberta Hospital, Edmonton, 8440-112 Street, Edmonton, AB T6G 2J2, Canada.
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