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Kalinowski MJ, Hartigan DR, Lojek NM, Buchholz BO, Ghezzi CE. Underscoring the effect of swab type, workflow, and positive sample order on swab pooling for COVID-19 surveillance testing. Sci Rep 2023; 13:7174. [PMID: 37138045 PMCID: PMC10155136 DOI: 10.1038/s41598-023-34337-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 04/27/2023] [Indexed: 05/05/2023] Open
Abstract
Sample pooling is a promising strategy to facilitate COVID-19 surveillance testing for a larger population in comparison to individual single testing due to resource and time constraints. Increased surveillance testing capacity will reduce the likelihood of outbreaks as the general population is returning to work, school, and other gatherings. We have analyzed the impact of three variables on the effectiveness of pooling test samples: swab type, workflow, and positive sample order. We investigated the performance of several commercially available swabs (Steripack polyester flocked, Puritan nylon flocked, Puritan foam) in comparison to a new injected molded design (Yukon). The bench-top performance of collection swab was conducted with a previously developed anterior nasal cavity tissue model, based on a silk-glycerol sponge to mimic soft tissue mechanics and saturated with a physiologically relevant synthetic nasal fluid spiked with heat-inactivated SARS-CoV-2. Overall, we demonstrated statistically significant differences in performance across the different swab types. A characterization of individual swab uptake (gravimetric analysis) and FITC microparticle release suggests that differences in absorbance and retention drive the observed differences in Ct of the pooled samples. We also proposed two distinct pooling workflows to encompass different community collection modes and analyzed the difference in resulting positive pools as an effect of workflow, swab type, and positive sample order. Overall, swab types with lower volume retention resulted in reduced false negative occurrence, also observed for collection workflows with limited incubation times. Concurrently, positive sample order did have a significant impact on pooling test outcome, particularly in the case of swab type with great volume retention. We demonstrated that the variables investigated here affect the results of pooled COVID-19 testing, and therefore should be considered while designing pooled surveillance testing.
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Affiliation(s)
- Maxwell J Kalinowski
- Department of Biomedical Engineering, University of Massachusetts-Lowell, 1 University Avenue, Lowell, MA, 01854, USA
| | - Devon R Hartigan
- Department of Biomedical Engineering, University of Massachusetts-Lowell, 1 University Avenue, Lowell, MA, 01854, USA
| | - Neal M Lojek
- Department of Biomedical Engineering, University of Massachusetts-Lowell, 1 University Avenue, Lowell, MA, 01854, USA
| | - Bryan O Buchholz
- Department of Biomedical Engineering, University of Massachusetts-Lowell, 1 University Avenue, Lowell, MA, 01854, USA
| | - Chiara E Ghezzi
- Department of Biomedical Engineering, University of Massachusetts-Lowell, 1 University Avenue, Lowell, MA, 01854, USA.
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2
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Sarmento N, Soares da Silva E, Barreto I, Ximenes JC, Angelina JM, Correia DM, Babo SM, Tilman AJP, Salles de Sousa A, Hornay E, Ico LC, Machado FDN, Niha MV, Ballard S, Lin C, Howden B, Baird R, Wapling J, Alves L, Oakley T, Marr I, Draper AD, Arkell P, Smith-Vaughan H, Fancourt NS, Yan J, Francis JR. The COVID-19 laboratory response in Timor-Leste; a story of collaboration. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2023; 11:100150. [PMID: 36744276 PMCID: PMC9883004 DOI: 10.1016/j.lansea.2023.100150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/18/2022] [Accepted: 01/05/2023] [Indexed: 01/14/2023]
Abstract
Timor-Leste is a small nation of 1.3 million people which shares a land border with Indonesia and is 550 km from Darwin, Australia. It is one of the poorest nations in Asia. The National Health Laboratory (NHL) and its network of smaller laboratories in Timor-Leste had limited capacity to perform molecular diagnostic testing before the coronavirus disease 2019 (COVID-19) pandemic began. With the support of international development partners, the NHL rapidly expanded its molecular testing service. From March 2020 to February 2022, over 200,000 molecular tests were performed; COVID-19 testing sites were established in hospital and community health center laboratories and all 13 municipalities, and the number of scientists and technicians at the molecular diagnostic laboratory at the NHL increased from five to 28 between 2019 and 2022. Molecular diagnostic testing for COVID-19 was successfully established at the NHL and in the municipalities. The molecular diagnostic laboratory at NHL is now equipped to respond to not only large-scale COVID-19 testing but also laboratory detection of other infectious diseases, preparing Timor-Leste for future outbreaks or pandemics.
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Affiliation(s)
- Nevio Sarmento
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste,Molecular Diagnostic Laboratory, National Health Laboratory, Dili, Timor-Leste,Corresponding author. Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | | | - Ismael Barreto
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - João C. Ximenes
- World Health Organization, Timor-Leste Country Office, Dili, Timor-Leste
| | - Julia M. Angelina
- World Health Organization, Timor-Leste Country Office, Dili, Timor-Leste
| | - Dircia M. Correia
- World Health Organization, Timor-Leste Country Office, Dili, Timor-Leste
| | - Silvia M. Babo
- World Health Organization, Timor-Leste Country Office, Dili, Timor-Leste
| | | | - Antonio Salles de Sousa
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Elisabeth Hornay
- Molecular Diagnostic Laboratory, National Health Laboratory, Dili, Timor-Leste
| | - Lourenço C. Ico
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | | | - Maria Varela Niha
- Departamento Vigilância e Epidemiologia, Ministério da Saúde, Dili, Timor-Leste
| | - Susan Ballard
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute of Infection and Immunity, Melbourne, Australia
| | - Chantel Lin
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute of Infection and Immunity, Melbourne, Australia
| | - Benjamin Howden
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute of Infection and Immunity, Melbourne, Australia
| | - Rob Baird
- Territory Pathology, Royal Darwin Hospital, Darwin, Australia
| | - Johanna Wapling
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Lucsendar Alves
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Tessa Oakley
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Ian Marr
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Anthony D.K. Draper
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste,Northern Territory Centre for Disease Control, Darwin, Australia,National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Paul Arkell
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste,Imperial College, London, United Kingdom
| | - Heidi Smith-Vaughan
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Nicholas S.S. Fancourt
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Jennifer Yan
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
| | - Joshua R. Francis
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste
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3
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Yang WW, Hsu CW, Chan YJ, Su SB, Feng IJ, Hou CY, Huang CY. Using Real-Time PCR Fluorescence Reaction Values to Improve SARS-CoV-2 Virus Detection and Benefit Clinical Decision-Making. Life (Basel) 2023; 13:life13030683. [PMID: 36983837 PMCID: PMC10057560 DOI: 10.3390/life13030683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/05/2023] [Accepted: 02/24/2023] [Indexed: 03/06/2023] Open
Abstract
This study aimed to compare the SARS-CoV-2 nucleic acid detection results of the BD MAX™ System and other platforms to formulate an optimized laboratory verification process. The re-examination of 400 samples determined as positive by BD MAX™ indicated that the inconsistency rate between BD MAX™ and the other platforms was 65.8%; the inconsistency rate of single-gene-positive results was as high as 99.2%. A receiver operating characteristic curve was drawn for the relative light unit (RLU) values of samples positive for a single gene, and RLU 800 was used as the cutoff. After setting the retest standard as single-gene positive and RLU ≥ 800, the number of the 260 BD MAX™ single-gene positives that needed to be confirmed again was 36 (13.8%) and the number that could be directly reported as negative was 224 (86.2%). This verification process can shorten the reporting period and speed up the epidemic adjustment time and turnover rate of special wards, thereby improving SARS-CoV-2 detection efficiency and clinical decision-making.
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Affiliation(s)
- Wan-Wen Yang
- Department of Clinical Pathology, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan
| | - Chin-Wen Hsu
- Department of Family Medicine, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan
| | - Yu-Ju Chan
- Department of Family Medicine, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan
| | - Shih-Bin Su
- Division of Occupational Medicine, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan
- Division of Occupational Medicine, Chi-Mei Medical Center, Tainan 710402, Taiwan
| | - I-Jung Feng
- Institute of Precision Medicine, National Sun Yat-sen University, Kaohsiung 804201, Taiwan
| | - Chia-Yi Hou
- Department of Clinical Pathology, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan
- Correspondence: (C.-Y.H.); (C.-Y.H.)
| | - Chien-Yuan Huang
- Division of Occupational Medicine, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan
- Division of Occupational Medicine, Chi-Mei Medical Center, Tainan 710402, Taiwan
- Correspondence: (C.-Y.H.); (C.-Y.H.)
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Bhattacharjee R, Dubey AK, Ganguly A, Bhattacharya B, Mishra YK, Mostafavi E, Kaushik A. State-of-art high-performance Nano-systems for mutated coronavirus infection management: From Lab to Clinic. OPENNANO 2022. [PMCID: PMC9463543 DOI: 10.1016/j.onano.2022.100078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants made emerging novel coronavirus diseases (COVID-19) pandemic/endemic/or both more severe and difficult to manage due to increased worry about the efficacy and efficiency of present preventative, therapeutic, and sensing measures. To deal with these unexpected circumstances, the development of novel nano-systems with tuneable optical, electrical, magnetic, and morphological properties can lead to novel research needed for (1) COVID-19 infection (anti-microbial systems against SARS-CoV-2), (2) early detection of mutated SARS-CoV-2, and (3) targeted delivery of therapeutics using nano-systems, i.e., nanomedicine. However, there is a knowledge gap in understanding all these nano-biotechnology potentials for managing mutated SARS-CoV-2 on a single platform. To bring up the aspects of nanotechnology to tackle SARS-CoV-2 variants related COVID-19 pandemic, this article emphasizes improvements in the high-performance of nano-systems to combat SARS-CoV-2 strains/variants with a goal of managing COVID-19 infection via trapping, eradication, detection/sensing, and treatment of virus. The potential of state-of-the-art nano-assisted approaches has been demonstrated as an efficient drug delivery systems, viral disinfectants, vaccine productive cargos, anti-viral activity, and biosensors suitable for point-of-care (POC) diagnostics. Furthermore, the process linked with the efficacy of nanosystems to neutralize and eliminate SARS-CoV-2 is extensively highligthed in this report. The challenges and opportunities associated with managing COVID-19 using nanotechnology as part of regulations are also well-covered. The outcomes of this review will help researchers to design, investigate, and develop an appropriate nano system to manage COVID-19 infection, with a focus on the detection and eradication of SARS-CoV-2 and its variants. This article is unique in that it discusses every aspect of high-performance nanotechnology for ideal COVID pandemic management.
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5
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Wu TY, Liao YC, Fuh CS, Weng PW, Wang JY, Chen CY, Huang YM, Chen CP, Chu YL, Chen CK, Yeh KL, Yu CH, Wu HK, Lin WP, Liou TH, Wu MS, Liaw CK. An improvement of current hypercube pooling PCR tests for SARS-CoV-2 detection. Front Public Health 2022; 10:994712. [PMID: 36339215 PMCID: PMC9627488 DOI: 10.3389/fpubh.2022.994712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 09/20/2022] [Indexed: 01/26/2023] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic can be effectively controlled by rapid and accurate identification of SARS-CoV-2-infected cases through large-scale screening. Hypercube pooling polymerase chain reaction (PCR) is frequently used as a pooling technique because of its high speed and efficiency. We attempted to implement the hypercube pooling strategy and found it had a large quantization effect. This raised two questions: is hypercube pooling with edge = 3 actually the optimal strategy? If not, what is the best edge and dimension? We used a C++ program to calculate the expected number of PCR tests per patient for different values of prevalence, edge, and dimension. The results showed that every edge had a best performance range. Then, using C++ again, we created a program to calculate the optimal edge and dimension required for pooling samples when entering prevalence into our program. Our program will be provided as freeware in the hope that it can help governments fight the SARS-CoV-2 pandemic.
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Affiliation(s)
- Tai-Yin Wu
- Department of Family Medicine, Zhongxing Branch, Taipei City Hospital, Taipei, Taiwan,Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan,General Education Center, University of Taipei, Taipei, Taiwan
| | - Yu-Ciao Liao
- Institute of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
| | - Chiou-Shann Fuh
- Institute of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
| | - Pei-Wei Weng
- Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Department of Orthopedics, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan,Graduate Institute of Biomedical Optomechatronics, College of Biomedical Engineering, Research Center of Biomedical Device, Taipei Medical University, Taipei, Taiwan
| | - Jr-Yi Wang
- Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Department of Orthopedics, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan
| | - Chih-Yu Chen
- Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Department of Orthopedics, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan,Graduate Institute of Biomedical Optomechatronics, College of Biomedical Engineering, Research Center of Biomedical Device, Taipei Medical University, Taipei, Taiwan,International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan
| | - Yu-Min Huang
- Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Department of Orthopedics, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan
| | - Chung-Pei Chen
- Department of Orthopedics, Cathay General Hospital, Taipei, Taiwan
| | - Yo-Lun Chu
- Department of Orthopedics, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan,School of Medicine, College of Medicine, Fu Jen Catholic University, Taipei, Taiwan,Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Cheng-Kuang Chen
- Department of Orthopedics, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan,Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Kuei-Lin Yeh
- Institute of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan,Department of Orthopaedics, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan,Department of Long-Term Care and Management, WuFeng University, Chiayi, Taiwan
| | - Ching-Hsiao Yu
- Department of Orthopaedic Surgery, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan,Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Hung-Kang Wu
- Department of Orthopaedic Surgery, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan,Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan,Department of Nursing, Yuanpei University of Medical Technology, Hsinchu, Taiwan
| | - Wei-Peng Lin
- Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan,Department of Orthopedics, Postal Hospital, Taipei, Taiwan
| | - Tsan-Hon Liou
- Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Mai-Szu Wu
- Division of Nephrology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chen-Kun Liaw
- Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Department of Orthopedics, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan,Graduate Institute of Biomedical Optomechatronics, College of Biomedical Engineering, Research Center of Biomedical Device, Taipei Medical University, Taipei, Taiwan,TMU Biodesign Center, Taipei Medical University, Taipei, Taiwan,*Correspondence: Chen-Kun Liaw ;
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Correa IA, de Souza Rodrigues T, Queiroz A, de França Nascimento L, Wolff T, Akamine RN, Kuriyama SN, da Costa LJ, Fidalgo-Neto AA. Boosting SARS-CoV-2 detection combining pooling and multiplex strategies. Sci Rep 2022; 12:8684. [PMID: 35606418 PMCID: PMC9126939 DOI: 10.1038/s41598-022-12747-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/28/2022] [Indexed: 11/09/2022] Open
Abstract
RT-qPCR is the gold standard technique available for SARS-CoV-2 detection. However, the long test run time and costs associated with this type of molecular testing are a challenge in a pandemic scenario. Due to high testing demand, especially for monitoring highly vaccinated populations facing the emergence of new SARS-CoV-2 variants, strategies that allow the increase in testing capacity and cost savings are needed. We evaluated a RT-qPCR pooling strategy either as a simplex and multiplex assay, as well as performed in-silico statistical modeling analysis validated with specimen samples obtained from a mass testing program of Industry Federation of the State of Rio de Janeiro (Brazil). Although the sensitivity reduction in samples pooled with 32 individuals in a simplex assay was observed, the high-test sensitivity was maintained even when 16 and 8 samples were pooled. This data was validated with the results obtained in our mass testing program with a cost saving of 51.5% already considering the expenditures with pool sampling that were analyzed individually. We also demonstrated that the pooling approach using 4 or 8 samples tested with a triplex combination in RT-qPCR is feasible to be applied without sensitivity loss, mainly combining Nucleocapsid (N) and Envelope (E) gene targets. Our data shows that the combination of pooling in a RT-qPCR multiplex assay could strongly contribute to mass testing programs with high-cost savings and low-reagent consumption while maintaining test sensitivity. In addition, the test capacity is predicted to be considerably increased which is fundamental for the control of the virus spread in the actual pandemic scenario.
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Affiliation(s)
- Isadora Alonso Correa
- Departamento de Virologia, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-617, Brazil.,Instituto Senai de Inovação em Química Verde, Rua Moraes e Silva, 53-9, Maracanã, Rio de Janeiro, RJ, 20271-030, Brazil
| | - Tamires de Souza Rodrigues
- Centro de Inovação SESI em Saúde Ocupacional, Rio de Janeiro, 20271-030, Brazil.,Centro de Pesquisa Leopoldo Américo Miguez de Mello (CENPES)-Petrobrás, Rio de Janeiro, 21941-915, Brazil
| | - Alex Queiroz
- Centro de Inovação SESI em Saúde Ocupacional, Rio de Janeiro, 20271-030, Brazil.,Centro de Pesquisa Leopoldo Américo Miguez de Mello (CENPES)-Petrobrás, Rio de Janeiro, 21941-915, Brazil
| | - Leon de França Nascimento
- Centro de Inovação SESI em Saúde Ocupacional, Rio de Janeiro, 20271-030, Brazil.,Centro de Pesquisa Leopoldo Américo Miguez de Mello (CENPES)-Petrobrás, Rio de Janeiro, 21941-915, Brazil
| | - Thiago Wolff
- Centro de Inovação SESI em Saúde Ocupacional, Rio de Janeiro, 20271-030, Brazil.,Centro de Pesquisa Leopoldo Américo Miguez de Mello (CENPES)-Petrobrás, Rio de Janeiro, 21941-915, Brazil
| | - Rubens Nobumoto Akamine
- Laboratório de Genética e Imunologia das Infecções Virais, Departamento de Virologia, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Avenida Carlos Chagas Filho, 373, CCS, Bloco I, Lab.I-SS 048, Cidade Universitária, Rio de Janeiro, RJ, 21941-902, Brazil
| | - Sergio Noboru Kuriyama
- Centro de Inovação SESI em Saúde Ocupacional, Rio de Janeiro, 20271-030, Brazil.,Centro de Pesquisa Leopoldo Américo Miguez de Mello (CENPES)-Petrobrás, Rio de Janeiro, 21941-915, Brazil
| | - Luciana Jesus da Costa
- Departamento de Virologia, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-617, Brazil. .,Instituto Senai de Inovação em Química Verde, Rua Moraes e Silva, 53-9, Maracanã, Rio de Janeiro, RJ, 20271-030, Brazil.
| | - Antonio Augusto Fidalgo-Neto
- Centro de Inovação SESI em Saúde Ocupacional, Rio de Janeiro, 20271-030, Brazil. .,Centro de Pesquisa Leopoldo Américo Miguez de Mello (CENPES)-Petrobrás, Rio de Janeiro, 21941-915, Brazil.
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