The DOI matches its Crossref record; 35 of the 36 references it cites were found in a registry or an index.
Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections.
Open accessAbstract
Background: The outbreak of novel coronavirus pneumonia (NCP) caused by 2019-nCoV spread rapidly, and elucidating the diagnostic accuracy of different respiratory specimens is crucial for the control and treatment of this disease. Methods: Respiratory samples including nasal swabs, throat swabs, sputum and bronchoalveolar lavage fluid (BALF) were collected from Guangdong CDC confirmed NCP patients, and viral RNAs were detected using a CFDA approved detection kit. Results were analyzed in combination with sample collection date and clinical information. Findings: Except for BALF, the sputum possessed the highest positive rate (74.4%∼88.9%), followed by nasal swabs (53.6%∼73.3%) for both severe and mild cases during the first 14 days after illness onset (d.a.o). For samples collected ≥ 15 d.a.o, sputum and nasal swabs still possessed a high positive rate ranging from 42.9%∼61.1%. The positive rate of throat swabs collected ≥ 8 d.a.o was low, especially in samples from mild cases. Viral RNAs could be detected in all the lower respiratory tract of severe cases, but not the mild cases. CT scan of cases 02, 07 and 13 showed typical viral pneumonia with ground-glass opacity, while no viral RNAs were detected in first three or all the upper respiratory samples. Interpretation: Sputum is most accurate for laboratory diagnosis of NCP, followed by nasal swabs. Detection of viral RNAs in BLAF is necessary for diagnosis and monitoring of viruses in severe cases. CT scan could serve as an important make up for the diagnosis of NCP. Funding: National Science and Technology Major Project, Sanming Project of Medicine and China Postdoctoral Science Foundation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“SARS-CoV-2 can be detected from different body fluids and the rate of positive test results vary depending on the sample size, days after illness onset, and severity of illness.”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Yang et al., 2020
In the citing paper
“Sputum appeared to be a good clinical sample with a high positive rate (74.4∼88.9%), followed by nasal swabs (53.6∼73.3%) and throat swabs (50∼ 61.3%).”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Yang et al., 2020
In the citing paper
“According to a study on 213 confirmed COVID-19 patients, viral RNA could be detected in all BALF samples of severe cases, but not from mild cases.”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Yang et al., 2020
In the citing paper
“When the onset time was greater than 14 days, the positive rate of BALF, sputum, and nasal swabs showed similar results, and were still much higher than throat swabs (Yang et al., 2020).”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Yang et al., 2020
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Self-citationClinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Self-citationA novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Self-citationA pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Self-citationWang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Self-citationA new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688
Self-citationPathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
Self-citation
Flagged first, then by citations
1 of the 36 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 837
Yokoyama, R., Kurano, M., Morita, Y., Shimura, T., Nakano, Y., Qian, C., Xia, F., He, F., Kishi, Y., Okada, J., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247711 · Cited by 18
Waghmare, A., Krantz, E. M., Baral, S., Vasquez, E., Loeffelholz, T., Chung, L., Pandey, U., Kuypers, J. M., Duke, E. R., Jerome, K. R., et al. (2020) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiaa451 · Cited by 18
Laboratory diagnosis of COVID-19 in China: A review of challenging cases and analysis
Jing, R., Kudinha, T., Zhou, M.-L., Xiao, M., Wang, H., Yang, W.-H., Xu, Y., & Hsueh, P. (2020) · Journal of Microbiology Immunology and Infection · doi:10.1016/j.jmii.2020.10.004 · Cited by 18
Epsi, N. J., Richard, S. A., Laing, E. D., Fries, A. C., Millar, E. V., Simons, M. P., English, C., Colombo, C. J., Colombo, R. E., Lindholm, D. A., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab396 · Cited by 18
Levine-Tiefenbrun, M., Yelin, I., Uriel, H., Kuint, J., Schreiber, L., Herzel, E., Katz, R., Ben‐Tov, A., Gazit, S., Patalon, T., et al. (2021) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2021.10.010 · Cited by 18
Common CT Findings of Novel Coronavirus Disease 2019 (COVID-19): A Case Series
Torkian, P., ramezani, N., Kiani, P., Bax, M. R., & Akhlaghpoor, S. (2020) · Cureus · doi:10.7759/cureus.7434 · Cited by 17
Skalina, K. A., Goldstein, D. Y., Sulail, J., Hahm, E., Narlieva, M., Szymczak, W. A., & Fox, A. S. (2020) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2020-206738 · Cited by 17
Evaluation of four laboratory-based SARS-CoV-2 IgG antibody immunoassays
Tanis, J., Vancutsem, E., Piérard, D., Weets, I., Bjerke, M., Schiettecatte, J., & Geyter, D. D. (2021) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2021.115313 · Cited by 17
Chest CT findings in RT-PCR positive asymptomatic COVID-19 patients
Uysal, E., Kılınçer, A., Cebeci, H., Özer, H., Demir, N. A., Ozturk, M. H., & Koplay, M. (2021) · Clinical Imaging · doi:10.1016/j.clinimag.2021.01.030 · Cited by 17
COVID-19 versus SARS: A comparative review
Keshta, A. S., Mallah, S. I., Zubaidi, K. A., Ghorab, O. K. H. A., Keshta, M. S., Alarabi, D., Abousaleh, M. A., Salman, M. T., Taha, O. E., Zeidan, A. A., et al. (2021) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2021.04.007 · Cited by 20
Shariyate, M. J., & Kachooei, A. R. (2020) · PubMed Central · doi:10.22038/abjs.2020.47626.2333 · Cited by 17
An Overview of the Temporal Shedding of SARS-CoV-2 RNA in Clinical Specimens
Zhurakivska, K., Troiano, G., Pannone, G., Caponio, V. C. A., & Muzio, L. L. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00487 · Cited by 17
Rode, O. Đ., Kurolt, I.-C., Puljiz, I., Čivljak, R., Balent, N. C., Laškaj, R., Tiljak, M. K., Mikulić, R., & Markotić, A. (2020) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-04019-y · Cited by 18
Thijssen, M., Devos, T., Ejtahed, H., Amini‐Bavil‐Olyaee, S., Pourfathollah, A. A., & Pourkarim, M. R. (2020) · Microorganisms · doi:10.3390/microorganisms8111733 · Cited by 17
Effects of COVID-19 on mortality: A 5-year population-based study in Oman
Wahaibi, A. S. A., Al-Maani, A. S., Alyaquobi, F., Harthy, K. A., Al‐Jardani, A., Rawahi, B. A., & Al-Abri, S. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.12.054 · Cited by 17
Askary, E., Poordast, T., Shiravani, Z., Ashraf, M. A., Hashemi, A., Naseri, R., Alamdarloo, S. M., Karimi, Z., Izanloo, E., & Najib, F. S. (2021) · International Journal of Reproductive BioMedicine (IJRM) · doi:10.18502/ijrm.v19i2.8477 · Cited by 17
Tu, Y.-P., & O’Leary, T. J. (2020) · Critical Care Medicine · doi:10.1097/ccm.0000000000004594 · Cited by 16
Bollineni, V. R., Nieboer, K., Döring, S., Buls, N., & Mey, J. D. (2021) · Insights into Imaging · doi:10.1186/s13244-020-00957-5 · Cited by 16
Fard, H. A., Mahmudi‐Azer, S., Sefidbakht, S., Iranpour, P., Bolandparvaz, S., Abbasi, H. R., Paydar, S., Sabetian, G., Mahmoudi, M. M., Zare, M., et al. (2021) · Emergency Medicine International · doi:10.1155/2021/4188178 · Cited by 16
Nakagama, Y., Komase, Y., Candray, K., Nakagama, S., Sano, F., Tsuchida, T., Kunishima, H., Imai, T., Shintani, A., Nitahara, Y., et al. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.01082-21 · Cited by 16
Turriziani, O., Sciandra, I., Mazzuti, L., Carlo, D. D., Bitossi, C., Calabretto, M., Guerrizio, G., Oliveto, G., Cabral, R. J. R., Viscido, A., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26332 · Cited by 15
Liu, J., Lian, R., Zhang, G., Hou, B., Wang, C., Dong, J., Yang, L., Wang, J., Dai, S., Chen, L., et al. (2020) · Annals of Medicine · doi:10.1080/07853890.2020.1811887 · Cited by 17
Andryukov, B. G., Besednova, N. N., Kuznetsova, T. A., & Fedyanina, L. N. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11010042 · Cited by 16
Impact of COVID-19 on inflammatory bowel disease practice and perspectives for the future
Viganò, C., Mulinacci, G., Palermo, A., Barisani, D., Pirola, L., Fichera, M., Invernizzi, P., & Massironi, S. (2021) · World Journal of Gastroenterology · doi:10.3748/wjg.v27.i33.5520 · Cited by 16
The diagnosis of SARS‐CoV2 pneumonia: A review of laboratory and radiological testing results
Zheng, Z., Yao, Z., Wu, K., & Zheng, J. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26081 · Cited by 14
Sun, M., Guo, D., Zhang, J., Zhang, J., Teng, H., Xia, J., Liu, P., Ge, Q., & Wang, M. (2020) · Future Microbiology · doi:10.2217/fmb-2020-0090 · Cited by 16
RetractedGeorge, B., McGee, J., Giangrasso, E., Finkelstein, S., Wu, S. Y., & Glatt, A. E. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa399 · Cited by 15
Microchip RT-PCR Detection of Nasopharyngeal SARS-CoV-2 Samples
Cojocaru, R., Yaseen, I., Unrau, P. J., Lowe, C. F., Ritchie, G., Romney, M. G., Sin, D. D., Gill, S. S., & Slyadnev, M. N. (2021) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2021.02.009 · Cited by 15
Okita, Y., Morita, T., & Kumanogoh, A. (2022) · Inflammation and Regeneration · doi:10.1186/s41232-022-00205-x · Cited by 17
Fuhrmann, J., & Barbarossa, M. V. (2020) · Archives of Public Health · doi:10.1186/s13690-020-00445-8 · Cited by 15
Noticewala, S. S., Ludmir, E. B., Bishop, A. J., Chung, C. D., Ghia, A. J., Grosshans, D. R., McGovern, S. L., Paulino, A. C., Wang, C., Woodhouse, K. D., et al. (2020) · Advances in Radiation Oncology · doi:10.1016/j.adro.2020.04.040 · Cited by 15
Self-citationFatal SARS-CoV-2 infection in a renal transplant recipient
Dirim, A. B., Demir, E., Uçar, A. R., Garayeva, N., Şafak, S., Oto, Ö. A., Yazıcı, H., Alibeyoğlu, A., Orhun, G., Çağatay, A. A., et al. (2020) · CEN Case Reports · doi:10.1007/s13730-020-00496-4 · Cited by 15
Buntinx, F., Claes, P. D., Gulikers, M., Verbakel, J. Y. J., Lepeleire, J. D., der Elst, M. V., Elslande, J. V., Ranst, M. A. V., & Vermeersch, P. (2020) · Acta Clinica Belgica · doi:10.1080/17843286.2020.1834285 · Cited by 15
Karimi, F., Vaezi, A. A., Qorbani, M., Moghadasi, F., Gelsefid, S. H., Maghoul, A., Mahmoodi, N., Eskandari, Z., Gholami, H., Mokhames, Z., et al. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-05948-5 · Cited by 15
Correlations between chest-CT and laboratory parameters in SARS-CoV-2 pneumonia
Orlacchio, A., Gasparrini, F., Roma, S., Ravà, M. S., Salvatori, E., Morosetti, D., Cossu, E., Legramante, J. M., Paganelli, C., Bernardini, S., et al. (2021) · Medicine · doi:10.1097/md.0000000000025310 · Cited by 15
A novel deep learning-based method for COVID-19 pneumonia detection from CT images
Luo, J., Sun, Y., Chi, J., Liao, X., & Xu, C. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-02022-1 · Cited by 16
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays ImagesPreprint
Rahman, T., Khandakar, A. A., Qiblawey, Y., Tahir, A., Serkan Kiranyaz, B., Kashem, S. B. A., Islam, M. T., Al-Maadeed, S. A., Zughaier, S. M., Khan, M. S., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.02238 · Cited by 15
Nasopharyngeal swabs during SARS-CoV-2 pandemic: a role for the otolaryngologist
Tagliabue, M., Pietrobon, G., Ugolini, S., Chu, F., & Ansarin, M. (2020) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-020-06027-2 · Cited by 14
Hornuß, D., Laubner, K., Monasterio, C., Thimme, R., & Wagner, D. (2020) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/a-1170-6061 · Cited by 14
Imaging evaluation of COVID-19 in the emergency department
Pakray, A., Walker, D., Figacz, A., Kilanowski, S., Rhodes, C., Doshi, S., & Coffey, M. P. (2020) · Emergency Radiology · doi:10.1007/s10140-020-01787-0 · Cited by 14
Simoni, P., Bazzocchi, A., Boitsios, G., Leucio, A. D., Preziosi, M., & Gómez, M. P. A. (2020) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.13098 · Cited by 14
Peroni, L. A., Toscaro, J. M., Canateli, C., Tonoli, C. C. C., de Olivera, R. R., Benedetti, C. E., Coimbra, L. D., Borin, A., Marques, R. E., Proença‐Módena, J. L., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.635701 · Cited by 14
Tsai, Y.-S., Wang, C., Tsai, H., Shan, Y.-S., & Lee, G. (2022) · Analytica Chimica Acta · doi:10.1016/j.aca.2022.340036 · Cited by 14
Marando, M., Tamburello, A., & Gianella, P. (2020) · European Journal of Case Reports in Internal Medicine · doi:10.12890/2020_001680 · Cited by 14
Dhoot, N. M., Goenka, U., Ghosh, S., Jajodia, S., Chand, R., Majumdar, S., & Ramasubban, S. (2020) · BJR|Open · doi:10.1259/bjro.20200024 · Cited by 14
Long, S. (2021) · Methods · doi:10.1016/j.ymeth.2021.04.008 · Cited by 14
Demirci, N. Y., Dikmen, A. U., Taşçı, C., Doğan, D., Arslan, Y., Öcal, N., Taşar, M., Bozlar, U., Artuk, C., Yılmaz, G., et al. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.14459 · Cited by 14
Reducing COVID-19 quarantine with SARS-CoV-2 testing: a simulation study
Peng, B., Zhou, W., Pettit, R. W., Yu, P. L., Matos, P. G., Greninger, A. L., McCashin, J., & Amos, C. I. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-050473 · Cited by 14
Hassanin, A. A., Raza, S. H. A., Ujan, J. A., ALrashidi, A. A., Sitohy, B., AL-surhanee, A. A., Saad, A. M., Al-Hazani, T. M. I., Atallah, O. O., Syaad, K. M. A., et al. (2021) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2021.12.020 · Cited by 14
Validation of a Saliva-Based Test for the Molecular Diagnosis of SARS-CoV-2 Infection
Bulfoni, M., Sozio, E., Marcon, B., Martino, M. D., Cesselli, D., Carlo, C. D., Martinella, R., Migotti, A., Vania, E., Zanus-Fortes, A., et al. (2022) · Disease Markers · doi:10.1155/2022/6478434 · Cited by 13
de Souza, L. C., de Azevedo, K. S., de Souza, J. G., Barbosa, R. D. M., & Fernandes, M. A. C. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05188-1 · Cited by 14
Lung Changes on Chest CT During 2019 Novel Coronavirus (COVID-19) Pneumonia
Çinkooğlu, A., Bayraktaroğlu, S., & Savaş, R. (2020) · European Journal of Breast Health · doi:10.5152/ejbh.2020.010420 · Cited by 14
Cavanna, L., Citterio, C., Nunzio, C. D., Biasini, C., Palladino, M. A., Ambroggi, M., Madaro, S., Bidin, L., Porzio, R., & Proietto, M. (2021) · Cureus · doi:10.7759/cureus.13774 · Cited by 13
Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling
Wu, Y., Foley, D. A., Ramsay, J. A., Woodberry, O., Mascaro, S., Nicholson, A. E., & Snelling, T. (2021) · Epidemiology and Infection · doi:10.1017/s0950268821001357 · Cited by 13
Spock, T., Kessler, R. A., Lerner, D. K., Filip, P., Signore, A. D., Colley, P. M., Morgenstern, P. F., Schaberg, M. R., Bederson, J. B., Govindaraj, S., et al. (2020) · Otolaryngology · doi:10.1177/0194599820931836 · Cited by 13
Management of COVID-19 in burns patients: The experience of a UK burn centre
Toh, V. V., Antrum, J. H. G., Sloan, B., Austin, O., & Muthayya, P. (2020) · Burns · doi:10.1016/j.burns.2020.06.026 · Cited by 13
Marschner, S. N., Corradini, S., Rauch, J., Zacharias, R., Sujic, A., Mayerle, J. V., Petru, R., Grabein, B., Keppler, O. T., Boelke, E., et al. (2020) · Radiation Oncology · doi:10.1186/s13014-020-01609-0 · Cited by 13
Lung Ultrasound in COVID ‐19 A Role Beyond the Acute Phase?
Gaspardone, C., Meloni, C., Preda, A., Romagnolo, D., Brugliera, L., Castellazzi, P., Tettamanti, A., Conte, C., Secchi, A., Maranta, F., et al. (2020) · Journal of Ultrasound in Medicine · doi:10.1002/jum.15425 · Cited by 13
Diagnosis of COVID-19. Methods and problems of virus SARS-CoV-2 detection under pandemic conditions
Kudlay, D. A., Shirobokov, Y. E., Гладунова, Е. П., & Бородулина, Е. А. (2020) · Vrach · doi:10.29296/25877305-2020-08-01 · Cited by 13
Ferrari, M., Paderno, A., Giannini, L., Cazzador, D., Ciardiello, C., Carretta, G., Piazza, C., & Nicolai, P. (2020) · Oral Oncology · doi:10.1016/j.oraloncology.2020.105043 · Cited by 13
More than the Eye Can See: Shedding New Light on SARS-CoV-2 Lateral Flow Device-Based Immunoassays
Koller, G., Morrell, A. P., Galão, R. P., Pickering, S., MacMahon, E. M. E., Johnson, J., Ignatyev, K., Neil, S. J. D., Elsharkawy, S., Fleck, R. A., et al. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c04283 · Cited by 13
Recent findings and applications of biomedical engineering for COVID-19 diagnosis: a critical review
Bui, L. M., Phùng, H. T. T., Thi, T.-T. H., Singh, V., Maurya, R., Khambhati, K., Wu, C., Uddin, M. J., Trung, D. M., & Chu, D. (2021) · Bioengineered · doi:10.1080/21655979.2021.1987821 · Cited by 16
The Negative Impact of COVID-19 on Life Insurers
Zhang, X., Liao, P., & Chen, X. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.756977 · Cited by 15
Considerations for the selection of tests for SARS-CoV-2 molecular diagnostics
Yılmaz, H. E., İşcan, E., Öz, Ö., Batur, T., Erdoğan, A., Kılıç, S., Mutlu, Z., Yılmaz, M., & Spring, K. J. (2022) · Molecular Biology Reports · doi:10.1007/s11033-022-07455-5 · Cited by 13
Test, trace, isolate: evidence for declining SARS-CoV-2 PCR sensitivity in a clinical cohort
Bergmans, B., Reusken, C. B. E. M., van Oudheusden, A. J. G., Godeke, G.-J., Marinović, A. A. B., de Vries, E., Kluiters, Y., Vingerhoets, R. W., Berrevoets, M. A. H., Verweij, J. J., et al. (2021) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2021.115392 · Cited by 13
Walker, L. J., Codreanu, T. A., Armstrong, P., Goodwin, S., Trewin, A., Spencer, E., Colquhoun, S., Stephens, D. M., Baird, R., Douglas, N. M., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255401 · Cited by 13
Santura, I., Kawalec, P., Furman, M., & Bochenek, T. (2021) · Polish Journal of Radiology · doi:10.5114/pjr.2021.109074 · Cited by 13
Mallett, S., Allen, A. J., Graziadio, S., Taylor, S. A., Sakai, N. S., Green, K., Suklan, J., Hyde, C., Shinkins, B., Zhelev, Z., et al. (2020) · medRxiv · doi:10.1101/2020.07.13.20152793 · Cited by 13
Francis, S., Mathew, R. P., & Khalid, Z. A. (2020) · The Journal of Obstetrics and Gynecology of India · doi:10.1007/s13224-020-01341-5 · Cited by 12
Hoang, T. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26648 · Cited by 12
Tsagkovits, A., Ioannidis, D., & Rokade, A. (2020) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-020-06441-6 · Cited by 12
Yang, M., Li, L., Huang, T., Li, S., Zhang, M., Yang, Y., Jiang, Y., Li, X., Yuan, J., & Liu, Y. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202006-2136le · Cited by 12
Self-citationSamir, A., El-Husseiny, R. M., Sweed, R. A., El-Maaboud, N. A. E.-M. A., & Masoud, M. (2021) · The Egyptian Journal of Radiology and Nuclear Medicine · doi:10.1186/s43055-021-00512-2 · Cited by 12
Ratiometric fluorescent Si-FITC nanoprobe for immunoassay of SARS-CoV-2 nucleocapsid protein
Mao, G., Ye, S., Yin, W., Yang, Y., Ji, X., He, J., Liu, Y., Dai, J., He, Z., & Ma, Y. (2022) · Nano Research · doi:10.1007/s12274-022-5005-z · Cited by 12
Self-citationOke, S. I., Ekum, M. I., Akintande, O. J., Adeniyi, M. O., Adekiya, T. A., Achadu, O. J., Matadi, M. B., Iyiola, O. S., & Salawu, S. O. (2023) · International Journal of Dynamics and Control · doi:10.1007/s40435-022-01112-2 · Cited by 12
Diagnosis of COVID-19: Considerations, Controversies and Challenges in South Africa
Dheda, K. U. J., Davids, M., Chang, J.-W., Gina, P., Pooran, A., Makambwa, E., Esmail, A., Vardas, E., & Preiser, W. (2020) · Wits Journal of Clinical Medicine · doi:10.18772/26180197.2020.v2nsia1 · Cited by 12
Alawi, M. (2021) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.12.036 · Cited by 12
Keaney, D., Whelan, S., Finn, K., & Lucey, B. (2021) · Medical Sciences · doi:10.3390/medsci9020036 · Cited by 12
Rapid diagnosis of SARS-CoV-2 pneumonia on lower respiratory tract specimens
Pace, V. D., Caligiuri, P., Ricucci, V., Nigro, N., Galano, B., Visconti, V. V., Rin, G. D., & Bruzzone, B. M. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-06591-w · Cited by 12
Case Report of COVID-19 after Full Vaccination: Viral Loads and Anti-SARS-CoV-2 Antibodies
Komiażyk, M., Walory, J., Gawor, J., Książek, I., Gromadka, R., & Baraniak, A. (2021) · Diagnostics · doi:10.3390/diagnostics11101815 · Cited by 11
A systematic review and metanalysis of diagnostic yield of BAL for detection of SARS-CoV-2
Agrawal, S. P., Goel, A. D., Gupta, N., Gonuguntla, H. K., & Colt, H. G. (2021) · Heart & Lung · doi:10.1016/j.hrtlng.2021.11.011 · Cited by 12
Österdahl, M. F., Lee, K. C. L., Lochlainn, M. N., Wilson, S., Douthwaite, S. T., Horsfall, R., Sheedy, A., Goldenberg, S. D., Stanley, C., Spector, T. D., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3564906 · Cited by 12
Incorporating Test Characteristics Into SARS-CoV-2 Testing Policy—Sense and Sensitivity
Marcotte, L. M., & Liao, J. M. (2020) · JAMA Health Forum · doi:10.1001/jamahealthforum.2020.0448 · Cited by 11
On the effect of COVID-19 pandemic in the excess of human mortality. The case of Brazil and Spain
Borrego-Morell, J., Huertas, E. J., & Torrado, N. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255909 · Cited by 11
Guess Who's Coming to Dinner: COVID-19 in a COVID-free Unit
LUCIANI, L. G., Mattevi, D., Giusti, G., Proietti, S., Gallo, F., Schenone, M., & MALOSSINI, G. (2020) · Urology · doi:10.1016/j.urology.2020.05.011 · Cited by 11
Ternovoi, V. A., Lutkovskiy, R. Y., Пономарева, Е. П., Gladysheva, A. V., Владимировна, Ч. Е., Леонидовна, Т. Н., Smirnova, A. M., Nazarenko, A. A., Loktev, V. B., Gavrilova, E. V., et al. (2020) · Russian Clinical Laboratory Diagnostics · doi:10.18821/0869-2084-2020-65-12-785-792 · Cited by 11
COVID-19 diagnostic tests: Importance of the clinical context
Muntadas, M. V., Sunyer, I. A., & García-Navarro, À. A. (2021) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2021.03.008 · Cited by 11
Effect of CT-Scan Image Resizing, Enhancement and Normalization on Accuracy of Covid-19 Detection
Pratiwi, N. G., Nabila, Y., Fiqraini, R., & Setiawan, A. W. (2021) · International Seminar on Intelligent Technology and Its Applications · doi:10.1109/isitia52817.2021.9502217 · Cited by 11
Diagnosis of COVID-19: Considerations, controversies and challenges
Dheda, K. U. J., Jaumdally, S. Z., Davids, M., Wang, J.-W., Gina, P., Pooran, A., Makambwa, E., Esmail, A., Vardas, E., & Preiser, W. (2020) · African Journal of Thoracic and Critical Care Medicine · doi:10.7196/ajtccm.2020.v26i2.099 · Cited by 11
Estimates of COVID-19 Cases across Four Canadian Provinces
Benatia, D., Godefroy, R., & Lewis, J. (2020) · Canadian Public Policy · doi:10.3138/cpp.2020-035 · Cited by 11
Performance of Low-Dose Chest CT Scan for Initial Triage of COVID-19
Bahrami‐Motlagh, H., Abbasi, S., Haghighi-Morad, M., Salevatipour, B., Darazam, I. A., Taheri, M. S., Tarki, F. E., & Irvani, S. S. N. (2020) · Iranian Journal of Radiology · doi:10.5812/iranjradiol.104950 · Cited by 11
Pietro, G. M. D., Capecchi, E., Capecchi, E., Lunghi, G., Bosis, S., Bertolozzi, G., Cantoni, B. M., Marano, G., Boracchi, P., Biganzoli, E., et al. (2021) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-04131-z · Cited by 11
Özcan, E., Yavuzer, S., Uysal, B. B., İslamoğlu, M. S., İkitimur, H., Unal, O. F., Akpınar, Y. E., Seyhan, S., Koç, S., Yavuzer, H., et al. (2021) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2021.1882305 · Cited by 12
Younis, N. K., Zareef, R. O., Maktabi, M. A., & Mahfouz, R. A. (2021) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2020.0227 · Cited by 12
Portable Tools for COVID-19 Point-of-Care Detection: A Review
Saki, E. F., Setiawan, S. A., & Wicaksono, D. H. B. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3110857 · Cited by 11
Fiore, G., Sanvito, F., Fragasso, G., & Spoladore, R. (2021) · European Heart Journal - Case Reports · doi:10.1093/ehjcr/ytab357 · Cited by 11
Bhowal, P., Sen, S., & Sarkar, R. (2021) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03491-4 · Cited by 11
Considerations for the Surgical Management of Early Stage Lung Cancer During the COVID-19 Pandemic
Merritt, R. E., & Kneuertz, P. J. (2020) · Clinical Lung Cancer · doi:10.1016/j.cllc.2020.06.024 · Cited by 11
RPA-Based Method For The Detection Of SARS-COV2Preprint
Nassir, A. A., Baptiste, M. J., Mwikarago, I. E., Habimana, M. R., Ndinkabandi, J., Murangwa, A., Nyatanyi, T., Muvunyi, C. M., Nsanzimana, S., Mutesa, L., et al. (2020) · medRxiv · doi:10.1101/2020.09.17.20196402 · Cited by 11
Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples
Wang, W., Harrou, F., Dairi, A., & Sun, Y. (2024) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2024.102767 · Cited by 10
Metadata
- Authors
- Yang, Y., Yang, M., Shen, C., Wang, F., Yuan, J., Li, J., Zhang, M., Wang, Z., Xing, L., Wei, J., Peng, L., Wong, G., Zheng, H., Wu, W., Liao, M., Feng, K., Li, J., Yang, Q., Zhao, J., Zhang, Z., Liu, L., & Liu, Y.
- Affiliations
- Southern University of Science and Technology (CN)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Zhang, Zheng
- ORCID
- Venue
- The Innovation
- Publisher
- openRxiv
- Published
- 2020-02-12
- Volume
- 1
- Issue
- 3
- Pages
- 100061-100061
- ISSN
- 2666-6758 (ISSN-L)
- PMC
- PMC7609236
- OpenAlex
- W3107529852
- Cited by
- 836
- References
- 36
- Citations by year
- 2026: 2 · 2025: 18 · 2024: 23 · 2023: 62 · 2022: 114 · 2021: 246 · 2020: 370
- FWCI
- 25.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- The Innovation (publishedVersion, cc-by-nc-nd)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministry of Science and Technology of the People's Republic of China (2020YFC0846300)
- China Postdoctoral Science Foundation (2019M660836, 2019T120147)
- National Science and Technology Major Project (2017ZX10204401, 2018ZX10711-001, 2017ZX10103011)
- Sanming Project of Medicine in Shenzhen (SZSM201512005, SZSM201412003)
- National Major Science and Technology Projects of China (2018ZX10711001, 2017ZX10103011)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Keywords
- SARS-CoV-2, COVID-19 pandemic, viral shedding, sputum, nasal swabs, bronchoalveolar lavage fluid, viral RNA detection, diagnostic accuracy, disease severity, ground-glass opacities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review