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Coronavirus Disease 2019 (COVID-19): A Perspective from China
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In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 infection occurred in Wuhan, Hubei Province, China, and spread across China and beyond. On February 12, 2020, the World Health Organization officially named the disease caused by the novel coronavirus as coronavirus disease 2019 (COVID-19). Because most patients infected with COVID-19 had pneumonia and characteristic CT imaging patterns, radiologic examinations have become vital in early diagnosis and the assessment of disease course. To date, CT findings have been recommended as major evidence for clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the etiology, epidemiology, and clinical symptoms of COVID-19 while highlighting the role of chest CT in prevention and disease control.
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“There are currently a number of different ways to detect COVID-19, whereas computed tomography and X-rays remain the major surgical techniques [80–82].”
From A comprehensive survey on federated learning techniques for healthcare informatics (2023) · cites this paper as [82]
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Epidemiological and clinical features of the 2019 novel coronavirus outbreak in ChinaPreprint
Yang, Y., Lu, Q., Liu, M., Wang, Y.-X., Zhang, A., Jalali, N., Dean, N. E., Longini, I. M., Halloran, M. E., Xu, B., et al. (2020) · medRxiv · doi:10.1101/2020.02.10.20021675 · Cited by 536 · cited 3×
“5% (n=3498) patients were diagnosed as pneumonia (25).”
InfluentialRetractedClinical 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 · cited 4×
“An ongoing outbreak of pneumonia associated with a novel coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was reported in Wuhan, Hubei province, China (1-3) in December 2019.”
InfluentialSelf-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
A 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 · cited 1×
“clusters of infected family members and medical workers confirmed the presence of humanto-human transmission (12) by droplets, contact and fomite (26-27).”
BackgroundSelf-citationChen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415 · cited 2×
“Meanwhile, patients might show normal or lower white blood cell counts, lymphopenia, or thrombocytopenia, with extended activated thromboplastin time and increased C-reactive protein level (1,26,31-32).”
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 · cited 4×
“A small number of patients can have headache or hemoptysis (26,32) and even relatively asymptomatic (12).”
BackgroundInfluentialLa 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 · cited 1×
“An ongoing outbreak of pneumonia associated with a novel coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was reported in Wuhan, Hubei province, China (1-3) in December 2019.”
BackgroundLu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, W., Song, H., Huang, B., Zhu, N., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30251-8 · Cited by 11,907 · cited 2×
“On the basis of current data, it seems that COVID-19 might be initially hosted by bats, and might have been transmitted to humans via pangolin (22) or other wild animals (17,23) sold at the Huanan seafood market but subsequent spread via human-to-human transmission.”
BackgroundSelf-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
Research works printed but not linked: 2
- Chinese Society of Radiology, 2020, Chin J Radiol, 54, E001
- Chen HJ, Lancet
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Tan, L., Wang, Q., Zhang, D., Jinya, D., Huang, Q., Wang, Q., Wang, Q., & Miao, H. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0148-4 · Cited by 1,722
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Wong, H. Y. F., Lam, H. Y. S., Fong, A. H.-T., Leung, S. T., Chin, T. W.-Y., Lo, C. S.-Y., Lui, M. M., Lee, J. C. Y., Chiu, K. W.-H., Chung, T. W., et al. (2020) · Radiology · doi:10.1148/radiol.2020201160 · Cited by 1,524
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Lu, W. Z., Wang, H., Lin, Y., & Li, L. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112936 · Cited by 1,321
“With the global spread of COVID-19, the challenge for many countries who are now dealing with large clusters or community transmission is obvious.”
InfluentialBai, H. X., Hsieh, B., Xiong, Z., Halsey, K., Choi, J. W., Tran, T. M. L., Pan, I., Shi, L.-B., Wang, D., Ji, M., et al. (2020) · Radiology · doi:10.1148/radiol.2020200823 · Cited by 1,254
“For example, influenza and COVID-19 both demonstrate GGO and consolidation on chest CT (14).”
BackgroundHan, H. W., Ma, Q., Li, C., Liu, R., Zhao, L. Y., Wang, W., Zhang, P., Liu, X., Gao, G., Liu, F., et al. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1770129 · Cited by 1,195
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Cohen, J., Morrison, P., Dao, L., Roth, K., Duong, T. Q., & Ghassemi, M. (2020) · The Journal of Machine Learning for Biomedical Imaging · doi:10.59275/j.melba.2020-48g7 · Cited by 1,110
“Ever since the dawn of the outbreak, imaging has stood out as a promising avenue of research and care [Zu et al., 2020; Poggiali et al., 2020].”
BackgroundCorrelation between weather and Covid-19 pandemic in Jakarta, Indonesia
Tosepu, R., Gunawan, J., Effendy, D. S., Ahmad, L. O. A. I., Lestari, H., Bahar, H., & Asfian, P. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138436 · Cited by 892
“With population growth like this allows covid-19 to spread rapidly (Zu et al., 2020).”
Ardakani, A. A., Kanafi, A. R., Acharya, U. R., Khadem, N., & Mohammadi, A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103795 · Cited by 864
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Sintema, E. J. (2020) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/7893 · Cited by 813
“The only literature available is directly related to medical studies (Chinazzi et al., 2020; Hopman, Allegranzi, & Mehtar, 2020; Kraemer et al., 2020; Wu & McGoogan, 2020; Zu et al., 2020).”
BackgroundEmami, A., Javanmardi, F., Pirbonyeh, N., & Akbari, A. (2020) · Archives of Academic Emergency Medicine · doi:10.22037/aaem.v8i1.600 · Cited by 767
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Bashir, M. F., Ma, B., Bilal, B., Komal, B., Bashir, M. A., Tan, D., & Bashir, M. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138835 · Cited by 739
“Such statistics make New York an ideal epicenter for the spread of infectious diseases (Zu et al., 2020).”
BackgroundCOVID-19 Image Data CollectionPreprint
Cohen, J., Morrison, P., & Dao, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.11597 · Cited by 722
Wei, J., Li, Z., Li, K., Dickerson, R. R., Pinker, R. T., Wang, J., Liu, X., Sun, L., Xue, W., & Cribb, M. C. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112775 · Cited by 701
A Review of SARS-CoV-2 and the Ongoing Clinical Trials
Tu, Y. F., Chien, C., Yarmishyn, A. A., Lin, Y., Luo, Y., Lin, Y.-T., Lai, W.-Y., Yang, D., Chou, S., Yang, Y., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072657 · Cited by 702
Ahmed, M. A., Jouhar, R., Ahmed, N., Adnan, S., Aftab, M., Zafar, M. S., & Khurshid, Z. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17082821 · Cited by 705
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Vellingiri, B., Jayaramayya, K., Iyer, M., Narayanasamy, A., Govindasamy, V., Giridharan, B., Ganesan, S., Venugopal, A., Venkatesan, D., Ganesan, H., et al. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138277 · Cited by 650
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“The main drawbacks of RT-PCR are time consuming and error-prone results (Pathak et al., 2020; Zu et al., 2020).”
BackgroundNikolich-Zugich, J., Knox, K. S., Rios, C. T., Natt, B., Bhattacharya, D., & Fain, M. J. (2020) · GeroScience · doi:10.1007/s11357-020-00186-0 · Cited by 577
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BackgroundMaghdid, H. S., Asaad, A., Ghafoor, K. Z., Sadiq, A. S., Mirjalili, S., & Khan, M. K. K. (2021) · Multimodal Image Exploitation and Learning · doi:10.1117/12.2588672 · Cited by 477
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BackgroundCoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
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Ouyang, X., Huo, J., Xia, L., Shan, F., Liu, J., Mo, Z., Yan, F., Ding, Z., Yang, Q., Song, B., et al. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2995508 · Cited by 379
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MethodShi, F., Xia, L., Shan, F., Song, B., Wu, D., Wei, Y., Yuan, H., Jiang, H., He, Y., Gao, Y., et al. (2021) · Physics in Medicine and Biology · doi:10.1088/1361-6560/abe838 · Cited by 379
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Wei, J., Liu, S., Li, Z., Liu, C., Qin, K., Liu, X., Pinker, R. T., Dickerson, R. R., Lin, J., Boersma, K. F., et al. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c03834 · Cited by 384
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Alimohamadi, Y., Sepandi, M., Taghdir, M., & Hosamirudsari, H. (2020) · Journal of preventive medicine and hygiene · doi:10.15167/2421-4248/jpmh2020.61.3.1530 · Cited by 358
Wu, J., Li, W., Shi, X., Chen, Z., Jiang, B., Liu, J., Wang, D., Liu, C., Meng, Y., Cui, L., et al. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13063 · Cited by 335
Toraman, S., Alakus, T. B., & Turkoglu, I. (2020) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110122 · Cited by 327
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Hasan, A., Paray, B. A., Hussain, A., Qadir, F. A., Attar, F., Aziz, F. M., Sharifi, M., Derakhshankhah, H., Rasti, B., Mehrabi, M., et al. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1754293 · Cited by 293
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Tu, H., Tu, S., Gao, S., Shao, A., & Sheng, J. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.04.011 · Cited by 293
Lomoro, P., Verde, F., Zerboni, F., Simonetti, I., Borghi, C., Fachinetti, C., Natalizi, A., & Martegani, A. (2020) · European Journal of Radiology Open · doi:10.1016/j.ejro.2020.100231 · Cited by 300
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Feki, I., Ammar, S., Kessentini, Y., & Muhammad, K. (2021) · Applied Soft Computing · doi:10.1016/j.asoc.2021.107330 · Cited by 278
Wang, Q., & Zhang, F. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126265 · Cited by 268
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Li, M., Lei, P., Zeng, B., Li, Z., Yu, P. C., Fan, B., Wang, C., Li, Z., Zhou, J., Hu, S., et al. (2020) · Academic Radiology · doi:10.1016/j.acra.2020.03.003 · Cited by 253
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BackgroundBodas, M., & Peleg, K. (2020) · Health Affairs · doi:10.1377/hlthaff.2020.00382 · Cited by 251
Zoran, M. A., Savastru, R., Savastru, D. M., & Tautan, M. N. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.140005 · Cited by 249
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Hung, M., Lauren, E., Hon, E. S., Birmingham, W. C., Xu, J., Su, S., Hon, S. D., Park, J., Dang, P., & Lipsky, M. S. (2020) · Journal of Medical Internet Research · doi:10.2196/22590 · Cited by 256
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Jukić, I., Calleja-González, J., Cos, F., Cuzzolin, F., Olmo, J., Terrados, N., Njaradi, N., Sassi, R., Requena, B., Milanović, L., et al. (2020) · Sports · doi:10.3390/sports8040056 · Cited by 248
Yue, H., Yu, Q., Liu, C., Huang, Y., Jiang, Z., Shao, C., Zhang, H., Ma, B., Wang, Y., Xie, G., et al. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-3026 · Cited by 241
Ning, W., Lei, S., Yang, J., Cao, Y., Jiang, P., Yang, Q., Zhang, J., Wang, X., Chen, F., Geng, Z., et al. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-00633-5 · Cited by 239
Detecting the Coronavirus (COVID-19)
Pokhrel, P., Hu, C., & Mao, H. (2020) · ACS Sensors · doi:10.1021/acssensors.0c01153 · Cited by 240
Della‐Torre, E., Campochiaro, C., Cavalli, G., Luca, G. D. D., Napolitano, A., Marca, S. L., Boffini, N., PRAT, V. D., Terlizzi, G. D., Lanzillotta, M., et al. (2020) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2020-218122 · Cited by 236
“31 The results of ongoing randomised placebo-controlled trials on larger number of patients are eagerly awaited to possibly substantiate our findings.”
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Sun, L., Mo, Z., Yan, F., Xia, L., Shan, F., Ding, Z., Song, B., Gao, W., Shao, W., Shi, F., et al. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3019505 · Cited by 233
“S INCE Decemeber 2019, the outbreak of coronavirus disease-19 (COVID-19) [1], [2] has infected more than 20 million people worldwide, and causing more than 800, 000 deaths.”
BackgroundNugraha, R. V., Ridwansyah, H., Ghozali, M., Khairani, A. F., & Atik, N. (2020) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2020/2560645 · Cited by 247
“After the S protein of the virus binds with ACE2, the virus envelope can fuse with the host cell membrane and enter the host cell [6, 10].”
BackgroundInfluentialRokni, M., Ghasemi, V., & Tavakoli, Z. (2020) · Reviews in Medical Virology · doi:10.1002/rmv.2107 · Cited by 226
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Alsharif, W. M., & Qurashi, A. A. (2020) · Radiography · doi:10.1016/j.radi.2020.09.010 · Cited by 242
Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy
Xu, B., Xing, Y., Peng, J., Zheng, Z., Tang, W., Sun, Y., Xu, C., & Peng, F. (2020) · European Radiology · doi:10.1007/s00330-020-06934-2 · Cited by 217
“Median interval between CT and RT-PCR (days) Ai et al [5] 1014 Wuhan, China 46 Mean age, 51 NA 1 Guan et al [6] 1099a Throughout China 58.1 Median age, 47 15.7 NA Xu et al [7] 62 Not Wuhan, China 56 Median age, 47 NA NA Li and Xia [8] 51 Wuhan, China 55 Mean age, 58 NA 3 Fang et al [9] 51 Not Wuhan, China 57 Median ag…”
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Ghosh, A., Nundy, S., & Mallick, T. K. (2020) · Sensors International · doi:10.1016/j.sintl.2020.100021 · Cited by 221
Ouchicha, C., Ammor, O., & Meknassi, M. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.110245 · Cited by 221
Curci, C., Pisano, F., Bonacci, E., Camozzi, D. M., Ceravolo, C., Bergonzi, R., Franceschi, S. D., Moro, P., Guarnieri, R., Ferrillo, M., et al. (2020) · European Journal of Physical and Rehabilitation Medicine · doi:10.23736/s1973-9087.20.06339-x · Cited by 217
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Olaimat, A. N., Aolymat, I., Al‐Holy, M., Ayyash, M. M., Abughoush, M. H., Al‐Nabulsi, A. A., Osaili, T. M. I., Apostolopoulos, V., Liu, S., & Shah, N. P. (2020) · npj Science of Food · doi:10.1038/s41538-020-00078-9 · Cited by 222
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Tartaglione, E., Barbano, C. A., Berzovini, C., Calandri, M., & Grangetto, M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186933 · Cited by 211
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BackgroundOnchonga, D., Omwoyo, J., & Nyamamba, D. (2020) · Saudi Pharmaceutical Journal · doi:10.1016/j.jsps.2020.08.003 · Cited by 228
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Yang, W., & Yan, F. (2020) · Radiology · doi:10.1148/radiol.2020200702 · Cited by 210
Involvement of Probiotics and Postbiotics in the Immune System Modulation
Yeşilyurt, N., Yılmaz, B., Ağagündüz, D., & Capasso, R. (2021) · Biologics · doi:10.3390/biologics1020006 · Cited by 220
Zanin, G. M., Gentile, E., Parisi, A., & Spasiano, D. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17093024 · Cited by 216
Diagnosis of Acute Respiratory Syndrome Coronavirus 2 Infection by Detection of Nucleocapsid ProteinPreprint
Diao, B., Wen, K., Chen, J., Liu, Y., Yuan, Z., Han, C. Q., Chen, J., Pan, Y., Chen, L., Dan, Y., et al. (2020) · medRxiv · doi:10.1101/2020.03.07.20032524 · Cited by 195
Qazi, A., Qazi, J., Naseer, K., Zeeshan, M., Hardaker, G., Maitama, J. Z., & Haruna, K. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25840 · Cited by 197
“An outbreak of pneumonia of unknown etiology was reported from Wuhan, Hubei, China.(1,2) This endemic outbreak gradually spread to many nations across the globe and ultimately on 11 March 2020, WHO declared the COVID‐19 as a pandemic.”
BackgroundClinical manifestation and disease progression in COVID-19 infection
Tsai, P., Lai, W.-Y., Lin, Y.-Y., Luo, Y., Lin, Y.-T., Chen, H.-K., Chen, Y.-M., Lai, Y.-C., Kuo, L.-C., Chen, S.-D., et al. (2020) · Journal of the Chinese Medical Association · doi:10.1097/jcma.0000000000000463 · Cited by 200
Deep learning for COVID-19 detection based on CT images
Zhao, W., Jiang, W., & Qiu, X. (2021) · Scientific Reports · doi:10.1038/s41598-021-93832-2 · Cited by 201
Kim, H., Rebholz, C. M., Hegde, S. M., LaFiura, C., Raghavan, M., Lloyd, J. F., Cheng, S. C., & Seidelmann, S. B. (2021) · BMJ Nutrition Prevention & Health · doi:10.1136/bmjnph-2021-000272 · Cited by 182
Shi, P., Dong, Y., Yan, H., Li, X., Zhao, C., Liu, W. Y., He, M., Tang, S., & Xi, S. (2020) · medRxiv · doi:10.1101/2020.03.22.20038919 · Cited by 181
Zhang, Y., Ding, J., Ren, S., Wang, W., Yang, Y., Li, S., Meng, M., Wu, T., Liu, D., Tian, S., et al. (2020) · Stem Cell Research & Therapy · doi:10.1186/s13287-020-01725-4 · Cited by 175
“Introduction The novel coronavirus disease 2019 (COVID-19) has grown to be a global public health emergency since patients were first detected in Wuhan, China, in December 2019 [1, 2].”
Significant Applications of Machine Learning for COVID-19 Pandemic
Kushwaha, S., Bahl, S., Bagha, A. K., Parmar, K. S., Javaid, M., Haleem, A., & Singh, R. P. (2020) · Journal of Industrial Integration and Management · doi:10.1142/s2424862220500268 · Cited by 179
A DNA Aptamer Based Method for Detection of SARS-CoV-2 Nucleocapsid Protein
Chen, Z., Wu, Q., Chen, J., Ni, X., & Dai, J. (2020) · Virologica Sinica · doi:10.1007/s12250-020-00236-z · Cited by 174
Risks of Novel Coronavirus Disease (COVID-19) in Pregnancy; a Narrative Review.
Panahi, L., Amiri, M., & Pouy, S. (2020) · Archives of Academic Emergency Medicine · doi:10.22037/aaem.v8i1.595 · Cited by 172
Be well: A potential role for vitamin B in COVID-19
Shakoor, H. I., Feehan, J., Mikkelsen, K., Dhaheri, A. S. A., Ali, H. I., Platat, C., Ismail, L. C., Stojanovska, L., & Apostolopoulos, V. (2020) · Maturitas · doi:10.1016/j.maturitas.2020.08.007 · Cited by 171
“symptoms are fever, cough, fatigue, headache, diarrhea, arthromyalgias, serious interstitial pneumonia that can lead to acute respiratory distress syndrome, sepsis-induced coagulopathy and multi-organ dysfunction [1].”
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
Chassagnon, G., Vakalopoulou, M., Battistella, E., Christodoulidis, S., Hoang-Thi, T.-N., Dangeard, S., Deutsch, É., André, F., Guillo, E., Halm, N., et al. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101860 · Cited by 179
Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019
Shen, C., Yu, N., Cai, S., Zhou, J., Sheng, J., Liu, K., Zhou, H., Guo, Y., & Niu, G. (2020) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2020.03.004 · Cited by 164
“Radiological examinations, especially thin slice chest computer tomography (CT), have become vital for early diagnosis and the assessment of the disease course [4 e 6] and have demonstrated excellent performance in visualizing the features of COVID-19.”
BackgroundBhowmick, G. D., Dhar, D., Nath, D., Ghangrekar, M. M., Banerjee, R., Das, S., & Chatterjee, J. (2020) · npj Clean Water · doi:10.1038/s41545-020-0079-1 · Cited by 163
Zivkovic, M. Z., Bačanin, N., Antonijević, M., Nikolić, B., Kvaščev, G., Marjanović, M., & Savanović, N. (2022) · Electronics · doi:10.3390/electronics11223798 · Cited by 165
“However, since PCR has a diagnostic sensitivity of about 60–70%, radiological imaging techniques including computed tomography (CT) and X-ray have been critical in the early detection of this disease [2].”
BackgroundInfluentialSaha, P., Sadi, M. S., & Islam, M. M. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100505 · Cited by 158
“The signs of being infected by COVID-19 are fever, cough, and severe respiratory problems [6].”
BackgroundNovel Coronavirus Disease 2019 (COVID-19): An Emerging Infectious Disease in the 21st Century
Tavakoli, A., Vahdat, K., & Keshavarz, M. (2020) · Iranian South Medical Journal · doi:10.29252/ismj.22.6.432 · Cited by 163
Sun, L., Song, F., Shi, N., Liu, F., Li, S., Li, P., Zhang, W., Jiang, X., Zhang, Y., Sun, L., et al. (2020) · Journal of Clinical Virology · doi:10.1016/j.jcv.2020.104431 · Cited by 153
Lyu, P., Liu, X., Zhang, R., Shi, L., & Gao, J. (2020) · Investigative Radiology · doi:10.1097/rli.0000000000000689 · Cited by 149
“From group A to group C, depending on the severity of the disease, the number of involved lung segments (1, 7, 19), the total severity score (2, 7, 16), and the total score for crazy-paving and consolidation increased in more severe cases (1, 5, 12).”
BackgroundLabel-Free Segmentation of COVID-19 Lesions in Lung CT
Yao, Q., Xiao, L., Liu, P., & Zhou, S. K. (2021) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2021.3066161 · Cited by 152
A medical multimodal large language model for future pandemics
Liu, F., Zhu, T., Wu, X., Yang, B., You, C., Wang, C., Lu, L., Liu, Z., Zheng, Y., Sun, X., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00952-2 · Cited by 155
“● COVID-19 diagnosis: Currently, the Reverse Transcription Polymerase Chain Reaction (RT-PCR) is recognised as the gold standard for COVID-19 diagnosis 24 .”
Virology, pathogenesis, diagnosis and in-line treatment of COVID-19
Samudrala, P. K., Kumar, P., Choudhary, K., Thakur, N., Wadekar, G. S., Dayaramani, R. A., Agrawal, M., & Alexander, A. (2020) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2020.173375 · Cited by 158
“However, other observations, including ground-glass opacities (GGOs) with patchy consolidation and posterior part or lower lobe involvement predilection in case of COVID-19 (Zu et al., 2020).”
Sahu, H. P., & Kashyap, R. (2023) · International Journal of Image and Graphics · doi:10.1142/s0219467825500044 · Cited by 146
Tian, J., Liang, Z., Hu, O., He, Q., Sun, D., & Chen, Z. (2021) · Electrochimica Acta · doi:10.1016/j.electacta.2021.138553 · Cited by 145
Epidemiology, genome, and clinical features of the pandemic SARS-CoV-2: a recent view
Abduljalil, J. M. A., & Abduljalil, B. (2020) · New Microbes and New Infections · doi:10.1016/j.nmni.2020.100672 · Cited by 140
“Clinical manifestations accompanied by radiographic evaluation and laboratory diagnosis (detection of virus RNA) are the only possible approach for definitive diagnosis [50].”
Vancheri, S., Savietto, G., Ballati, F., Maggi, A., Canino, C., Bortolotto, C., Valentini, A., Dore, R., Stella, G. M., Corsico, A. G., et al. (2020) · European Radiology · doi:10.1007/s00330-020-06967-7 · Cited by 139
“CXR was not recommended as a first-line imaging examination due to its low sensitivity in detecting alterations [5, 15].”
BackgroundMethodResultWaller, J. V., Kaur, P., Tucker, A., Lin, K. K., Diaz, M. J., Henry, T. S., & Hope, M. D. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.23418 · Cited by 138
Socio-economic and environmental impacts of COVID-19 pandemic in Pakistan—an integrated analysis
Rasheed, R., Rizwan, A., Javed, H., Sharif, F., & Zaidi, A. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-12070-7 · Cited by 143
Pandemia da COVID-19: o maior desafio do século XXI
Brito, S. B. P., Braga, I. O., Cunha, C. C., Palácio, M. A. V., & Takenami, I. (2020) · Vigilância Sanitária em Debate · doi:10.22239/2317-269x.01531 · Cited by 199
Xu, P., Tian, R. H., Luo, S. J., Zu, Z., Fan, B., Wang, X. M., Xu, K. L., Wang, J. T., Zhu, J., Shi, J. C., et al. (2020) · Theranostics · doi:10.7150/thno.46833 · Cited by 133
Self-citationOshaghi, E. A., Mirzaei, F., Farahani, F., Khodadadi, I., & Tayebinia, H. (2020) · International Journal of Surgery · doi:10.1016/j.ijsu.2020.05.018 · Cited by 133
Effects of Vitamin D on COVID-19 Infection and Prognosis: A Systematic Review
Yisak, H., Ewunetei, A., Kefale, B., Azanaw, M. M., Dagnaw, F. T., Ambaw, B., & Yitbarek, G. Y. (2021) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s291584 · Cited by 131
Metadata
- Authors
- Zu, Z. Y., Jiang, M. D., Xu, P. P., Chen, W., Ni, Q. Q., Lu, G. M., & Zhang, L. J.
- Affiliations
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China (Z.Y.Z., M.D.J., P.P.X., Q.Q.N., G.M.L., L.J.Z.); and Department of Medical Imaging, Taihe Hospital, Shiyan, Hubei, China (W.C.).
- Nanjing General Hospital of Nanjing Military Command (CN)
- Corresponding author
- Zhang, Long Jiang
- Venue
- Radiology
- Published
- 2020-08
- Volume
- 296
- Issue
- 2
- Pages
- E15-E25
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- PMC
- PMC7233368
- OpenAlex
- W3008627141
- Cited by
- 2,070
- References
- 60
- Citations by year
- 2026: 18 · 2025: 27 · 2024: 97 · 2023: 213 · 2022: 359 · 2021: 612 · 2020: 744
- FWCI
- 63.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Radiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- Funders
- National Key Research and Development Program of China (2017YFC0113400)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Keywords
- COVID-19 pandemic, SARS-CoV-2, chest CT findings, pneumonia, early diagnosis, clinical symptoms, disease control, Wuhan outbreak, China
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, China, Diagnosis, Differential, Humans, Pneumonia, Viral, Severity of Illness Index, Tomography, X-Ray Computed, Coronavirus Infections, Clinical Laboratory Techniques, Early Diagnosis, Pandemics
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.
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