The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Epidemiologic and clinical characteristics of 91 hospitalized patients with COVID-19 in Zhejiang, China: a retrospective, multi-centre case series.
Open accessPublished version of a preprint
Abstract
BACKGROUND: Recent studies have focused on initial clinical and epidemiological characteristics of the coronavirus disease 2019 (COVID-19), which is the mainly revealing situation in Wuhan, Hubei. AIM: This study aims to reveal more data on the epidemiological and clinical characteristics of COVID-19 patients outside of Wuhan, Zhejiang, China. DESIGN: This study was a retrospective case series. METHODS: Eighty-eight cases of laboratory-confirmed and three cases of clinically confirmed COVID-19 were admitted to five hospitals in Zhejiang province, China. Data were collected from 20 January 2020 to 11 February 2020. RESULTS AND DISCUSSION: Of all 91 patients, 88 (96.70%) were laboratory-confirmed COVID-19 with throat swab samples that tested positive for SARS-Cov-2, three (3.30%) cases were clinically diagnosed. The median age of the patients was 50 (36.5-57) years, and female accounted for 59.34%. In this sample, 40 (43.96%) patients had contracted the disease from local cases, 31 (34.07%) patients had been to Wuhan/Hubei, eight (8.79%) patients had contacted with people from Wuhan, and 11 (12.09%) patients were diagnosed after having flown together in the same flight with no passenger that could later be identified as the source of infection. In particular within the city of Ningbo, 60.52% cases can be traced back to an event held in a temple. The most common symptoms were fever (71.43%), cough (60.44%) and fatigue (43.96%). The median of incubation period was 6 (interquartile range 3-8) days and the median time from the first visit to a doctor to the confirmed diagnosis was 1 (1-2) days. According to the chest computed tomography scans, 67.03% cases had bilateral pneumonia. CONCLUSIONS: Social activity cluster, family cluster and flying alongside with persons already infected with COVID-19 were how people got infected with COVID-19 in Zhejiang.
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
Figures


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?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“some recent studies have explored the role of personality traits during the first lockdown stage, suggesting that vulnerable factors (neuroticism) and protective factors (extraversion and conscientiousness) can predict mental health status [e.g., (14, 15)]”
From The Evolution of Psychological and Behavioral Consequences of Self-Isolation During Lockdown: A Longitudinal Study Across United Kingdom and Italy (2022) · cites this paper as [14]
Experimental — accuracy not yet measured
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
Clinical 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
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
Chen, 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
Wang, 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
Lu, 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
Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany
Rothe, C., Schunk, M., Sothmann, P., Bretzel, G., Froeschl, G., Wallrauch, C., Zimmer, T., Thiel, V., Jänke, C., Guggemos, W., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001468 · Cited by 4,211
Research works printed but not linked: 2
- 2020, The Notice of Launching Guideline on Diagnosis and Treatment of the Novel Coronavirus Pneumonia
- 2020, The Notice of Launching Guideline on Diagnosis and Treatment of the Novel Coronavirus Pneumonia
Cited by
Sorted by citations
Henry, B. M., de Oliveira, M. H. S., Benoit, S., Plebani, M., & Lippi, G. (2020) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2020-0369 · Cited by 1,964
Biomarkers associated with COVID-19 disease progression
Ponti, G., Maccaferri, M., Ruini, C., Tomasi, A., & Özben, T. (2020) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2020.1770685 · Cited by 920
Pijls, B. G. C. W., Jolani, S., Atherley, A., Derckx, R. T., Dijkstra, J. I. R., Franssen, G. H. L. M., Hendriks, S., Richters, A., Jellema, A., Zalpuri, S., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-044640 · Cited by 596
Biswas, M., Rahaman, S., Biswas, T. K., Haque, Z., & Ibrahim, B. (2020) · Intervirology · doi:10.1159/000512592 · Cited by 532
Baj, J., Karakuła‐Juchnowicz, H., Teresiński, G., Buszewicz, G., Ciesielka, M., Sitarz, R., Forma, A., Karakuła, K. H., Flieger, W., Portincasa, P., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9061753 · Cited by 480
Sultan, S., Altayar, O., Siddique, S. M., Davitkov, P., Feuerstein, J. D., Lim, J. K., Falck-Ytter, Y., & El-Serag, H. B. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.05.001 · Cited by 437
Parasa, S., Desai, M., Chandrasekar, V. T., Patel, H. K., Kennedy, K. F., Röesch, T., Spadaccini, M., Colombo, M., Gabbiadini, R., Artifon, E. L. A., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.11335 · Cited by 381
Managing ICU surge during the COVID-19 crisis: Rapid guidelines.
Aziz, S., Arabi, Y. M., Alhazzani, W., Evans, L., Citerio, G., Fischkoff, K., Salluh, J., Meyfroidt, G., Alshamsi, F., Oczkowski, S., et al. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06092-5 · Cited by 380
Electrolyte imbalances in patients with severe coronavirus disease 2019 (COVID-19)
Lippi, G., South, A. M., & Henry, B. M. (2020) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563220922255 · Cited by 376
Incubation Period of COVID-19 Caused by Unique SARS-CoV-2 Strains
Wu, Y., Kang, L., Guo, Z., Liu, J., Liu, M., & Liang, W. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.28008 · Cited by 349
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
Abnormal Liver Function Tests in Patients With COVID‐19: Relevance and Potential Pathogenesis
Bertolini, A., van de Peppel, I. P., Bodewes, F. A. J. A., Moshage, H. J., Fantin, A., Farinati, F., Fiorotto, R., Jonker, J. W., Strazzabosco, M., Verkade, H. J., et al. (2020) · Hepatology · doi:10.1002/hep.31480 · Cited by 295
Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis
Abate, B. B., Kassie, A. M., Kassaw, M. W., Aragie, T. G., & Masresha, S. A. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-040129 · Cited by 287
Mantovani, A., Byrne, C. D., Zheng, M., & Targher, G. (2020) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2020.05.014 · Cited by 269
Predicting Disease Severity and Outcome in COVID-19 Patients: A Review of Multiple Biomarkers
Tjendra, Y., Mana, A. F. A., Freire, A. P. E., Akgun, Y., Millan, N. C., Gomez-Fernandez, C. R., & Cray, C. (2020) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2020-0471-sa · Cited by 279
ACE2, TMPRSS2 distribution and extrapulmonary organ injury in patients with COVID-19
Dong, M., Zhang, J., Ma, X., Tan, J., Chen, L., Liu, S., Xin, Y., & Zhuang, L. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110678 · Cited by 262
Self-citationElshazli, R. M., Toraih, E. A., Elgaml, A., El‐Mowafy, M., El‐Mesery, M., Amin, M. N., Hussein, M. H., Killackey, M. T., Fawzy, M. S., & Kandil, E. H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0238160 · Cited by 261
Laboratory findings of COVID-19: a systematic review and meta-analysis
Zu-li, Z., Hou, Y., Li, D., & Li, F. (2020) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/00365513.2020.1768587 · Cited by 248
Systematic review with meta‐analysis: liver manifestations and outcomes in COVID‐19
Kulkarni, A. V., Kumar, P., Tevethia, H. V., Premkumar, M., Arab, J. P., Cândia, R., Talukdar, R., Sharma, M., Qi, X., Rao, P. N., et al. (2020) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.15916 · Cited by 250
D-dimer level is associated with the severity of COVID-19
Yu, H.-H., Qin, C., Chen, M., Wang, W., & Tian, D. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.07.047 · Cited by 243
Akbari, H., Tabrizi, R., Lankarani, K. B., Aria, H., Vakili, S., Asadian, F., Noroozi, S., Keshavarz, P., & Faramarz, S. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.118167 · Cited by 224
Lewnard, J. A., Liu, V. X., Jackson, M. L., Schmidt, M. A., Jewell, B. L., Flores, J. P., Jentz, C., Northrup, G. R., Mahmud, A. S., Reingold, A. L., et al. (2020) · BMJ · doi:10.1136/bmj.m1923 · Cited by 210
Prevalence and impact of acute renal impairment on COVID-19: a systematic review and meta-analysis
Yang, X., Jin, Y., Li, R., Zhang, Z., Sun, R., & Chen, D. (2020) · Critical Care · doi:10.1186/s13054-020-03065-4 · Cited by 197
Potere, N., Valeriani, E., Candeloro, M., Tana, M., Porreca, E., Abbate, A., Spoto, S., Rutjes, A. W., & Nisio, M. D. (2020) · Critical Care · doi:10.1186/s13054-020-03022-1 · Cited by 195
Association of elevated inflammatory markers and severe COVID-19
Ji, P., Zhu, J., Zhong, Z., Li, H., Pang, J., Li, B., & Zhang, J. (2020) · Medicine · doi:10.1097/md.0000000000023315 · Cited by 183
Musculoskeletal symptoms in SARS-CoV-2 (COVID-19) patients
Cipollaro, L., Giordano, L., Padulo, J., Oliva, F., & Maffulli, N. (2020) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-020-01702-w · Cited by 178
Neurological and Musculoskeletal Features of COVID-19: A Systematic Review and Meta-Analysis
Abdullahi, A., Candan, S. A., Abba, M. A., Bello, A. H., Alshehri, M. A., Victor, E. A., Umar, N. A., & Kundakci, B. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00687 · Cited by 171
Cardiovascular diseases burden in COVID-19: Systematic review and meta-analysis
Hessami, A., Shamshirian, A., Heydari, K., Pourali, F., Alizadeh‐Navaei, R., Moosazadeh, M., Abrotan, S., Shojaie, L., Sedighi, S., Shamshirian, D., et al. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.10.022 · Cited by 189
Wang, L., Shen, Y., Li, M., Chuang, H.-Y., Ye, Y., Zhao, H., & Wang, H. (2020) · Journal of Neurology · doi:10.1007/s00415-020-09974-2 · Cited by 176
Self-citationChidambaram, V., Tun, N. L., Haque, W. Z., Majella, M. G., Sivakumar, R. K., Kumar, A., Hsu, A. T., Ishak, I. A., Nur, A. A., Ayeh, S. K., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241541 · Cited by 176
Danwang, C., Endomba, F. T., Nkeck, J. R., Wouna, D. L. A., Robert, A. R., & Noubiap, J. J. (2020) · Biomarker Research · doi:10.1186/s40364-020-00217-0 · Cited by 168
Prognostic Value of Leukocytosis and Lymphopenia for Coronavirus Disease Severity
Huang, G., Kovalic, A. J., & Graber, C. J. (2020) · Emerging infectious diseases · doi:10.3201/eid2608.201160 · Cited by 168
Crucial laboratory parameters in COVID-19 diagnosis and prognosis: An updated meta-analysis
Soraya, G. V., & Ulhaq, Z. S. (2020) · Medicina Clínica · doi:10.1016/j.medcli.2020.05.017 · Cited by 163
COVID-19 fatality rates in hospitalized patients: systematic review and meta-analysis
Macedo, A., Gonçalves, N., & Febra, C. (2021) · Annals of Epidemiology · doi:10.1016/j.annepidem.2021.02.012 · Cited by 161
Jutzeler, C. R., Bourguignon, L., Weis, C., Tong, B., Wong, C., Rieck, B., Pargger, H., Tschudin‐Sutter, S., Egli, A., Borgwardt, K. M., et al. (2020) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2020.101825 · Cited by 168
The transmission modes and sources of COVID-19: A systematic review
Rahman, H. S., Aziz, M. S., Hussein, R. H., Othman, H. H., Omer, S. H. S., Khalid, E. S., Abdulrahman, N. A., Amin, K., & Abdullah, R. (2020) · International Journal of Surgery Open · doi:10.1016/j.ijso.2020.08.017 · Cited by 168
Sojobi, A. O., & Zayed, T. M. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111609 · Cited by 161
Parohan, M., Yaghoubi, S., & Seraj, A. (2020) · Hepatology Research · doi:10.1111/hepr.13510 · Cited by 157
A systematic review of chest imaging findings in COVID-19
Sun, Z., Zhang, N., Li, Y., & Xu, X. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-564 · Cited by 149
Elevated d-Dimer Levels Are Associated With Increased Risk of Mortality in Coronavirus Disease 2019
Shah, S., Shah, K. B., Patel, S., Patel, F. S., Osman, M., Velagapudi, P., Turagam, M. K., Lakkireddy, D., & Garg, J. (2020) · Cardiology in Review · doi:10.1097/crd.0000000000000330 · Cited by 149
Lymphopenia an important immunological abnormality in patients with COVID‐19: Possible mechanisms
Jafarzadeh, A., Jafarzadeh, S., Nozari, P., Mokhtari, P., & Nemati, M. (2020) · Scandinavian Journal of Immunology · doi:10.1111/sji.12967 · Cited by 155
Curcumin (a constituent of turmeric): New treatment option against COVID‐19
Babaei, F., Nassiri‐Asl, M., & Hosseinzadeh, H. (2020) · Food Science & Nutrition · doi:10.1002/fsn3.1858 · Cited by 146
Morphological anomalies of circulating blood cells in COVID ‐19
Zini, G., Bellesi, S., Ramundo, F., & d’Onofrio, G. (2020) · American Journal of Hematology · doi:10.1002/ajh.25824 · Cited by 143
SARS-CoV-2 and nervous system: From pathogenesis to clinical manifestation
Keyhanian, K., Umeton, R. P., Mohit, B., Davoudi, V., Hajighasemi, F., & Ghasemi, M. (2020) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2020.577436 · Cited by 148
Comparative analysis of laboratory indexes of severe and non-severe patients infected with COVID-19
Bao, J., Li, C., Zhang, K., Kang, H., Chen, W., & Gu, B. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.06.009 · Cited by 143
Pain Symptoms in Patients with Coronavirus Disease (COVID-19): A Literature Review
Weng, L., Su, X., & Wang, X. (2021) · Journal of Pain Research · doi:10.2147/jpr.s269206 · Cited by 156
Risk factors of severe cases with COVID-19: a meta-analysis
Ou, M., Zhu, J., Ji, P., Li, H., Zhong, Z., Li, B., Pang, J., Zhang, J., & Zheng, X. (2020) · Epidemiology and Infection · doi:10.1017/s095026882000179x · Cited by 145
Clinical course and outcomes of critically ill patients with COVID-19 infection: a systematic review
Serafim, R. B., Póvoa, P. M. S. R., de Souza-Dantas, V. C., Kalil, A. C., & Salluh, J. I. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.10.017 · Cited by 137
Lymphopenia as a Biological Predictor of Outcomes in COVID-19 Patients: A Nationwide Cohort Study
Lee, J. M., Park, S., Kim, T. Y., Lee, D., & Kim, D. (2021) · Cancers · doi:10.3390/cancers13030471 · Cited by 135
Pinzon, R. T., Wijaya, V. O., Buana, R. B., Jody, A. A., & Nunsio, P. N. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00565 · Cited by 133
A meta-analysis of accuracy and sensitivity of chest CT and RT-PCR in COVID-19 diagnosis
Khatami, F., Saatchi, M., Zadeh, S. S. T., Aghamir, Z. S., Shabestari, A. N., Reis, L. O., & Aghamir, S. M. K. (2020) · Scientific Reports · doi:10.1038/s41598-020-80061-2 · Cited by 137
COVID-19: In the Eye of the Cytokine Storm
de la Rica, R., Borges-Sa, M., & González‐Freire, M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.558898 · Cited by 134
Multi-organ Dysfunction in Patients with COVID-19: A Systematic Review and Meta-analysis
Wu, T., Zuo, Z., Kang, S., Jiang, L., Luo, X., Xia, Z., Liu, J., Xiao, X., Ye, M., & Deng, M. (2020) · Aging and Disease · doi:10.14336/ad.2020.0520 · Cited by 126
Immune Parameters and COVID-19 Infection – Associations With Clinical Severity and Disease Prognosis
Jeseňák, M., Brndiarová, M., Urbančíková, I., Rennerová, Z., Vojtková, J., Bobčáková, A., Ostró, R., & Bánovčin, P. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.00364 · Cited by 126
Moutchia, J., Pokharel, P., Kerri, A., McGaw, K., Uchai, S., Nji, M., & Goodman, M. G. (2020) · PLoS ONE · doi:10.1371/journal.pone.0239802 · Cited by 119
Hematological Abnormalities in COVID-19: A Narrative Review
Rahman, A., Niloofa, R., Jayarajah, U., Mel, S. D., Abeysuriya, V., & Seneviratne, S. L. (2021) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.20-1536 · Cited by 115
Güngör, B., Atıcı, A., Baycan, Ö. F., Alıcı, G., Öztürk, F., Tuğrul, S., Asoğlu, R., Çevik, E., Şahin, İ., & Barman, H. A. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.09.018 · Cited by 114
Yassin, A., Nawaiseh, M. B., Shaban, A., Alsherbini, K. A., El‐Salem, K., Soudah, O., & Abu-Rub, M. (2021) · BMC Neurology · doi:10.1186/s12883-021-02161-4 · Cited by 109
Fathi, M., Vakili, K. G., Sayehmiri, F., Mohamadkhani, A., Hajiesmaeili, M., Rezaei–Tavirani, M., & Eilami, O. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246190 · Cited by 103
Hu, J., Han, Z., Heidari, A. A., Shou, Y., Ye, H., Wang, L., Huang, X., Chen, H., Chen, Y., & Wu, P. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.105166 · Cited by 96
A summary of the diagnostic and prognostic value of hemocytometry markers in COVID-19 patients
Khartabil, T. A., Russcher, H., van der Ven, A., & de Rijke, Y. B. (2020) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2020.1774736 · Cited by 95
Pormohammad, A., Ghorbani, S., Baradaran, B., Khatami, A., Turner, R. J., Mansournia, M. A., Kyriacou, D. N., Idrovo, J., & Bahr, N. C. (2020) · Microbial Pathogenesis · doi:10.1016/j.micpath.2020.104390 · Cited by 91
Arnaldez, F. I., O'Day, S. J., Drake, C. G., Fox, B. A., Fu, B., Urba, W. J., Montesarchio, V., Weber, J. S., Wei, H., Wigginton, J. M., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-000930 · Cited by 92
The current understanding and potential therapeutic options to combat COVID-19
Pooladanda, V., Thatikonda, S., & Godugu, C. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.117765 · Cited by 90
Speake, H., Phillips, A., Chong, T., Sikazwe, C., Levy, A., Lang, J., Scalley, B., Speers, D. J., Smith, D. W., Effler, P., et al. (2020) · Emerging Infectious Diseases · doi:10.3201/eid2612.203910 · Cited by 77
COVID-19: Review and hematologic impact
Toledo, S. L. D. O., Nogueira, L. S., Ferriani, M. D. G. C., Rios, D. R. A., & Pinheiro, M. D. B. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.07.016 · Cited by 91
Montesarchio, V., Parrella, R., Iommelli, C., Bianco, A., Manzillo, E., Fraganza, F., Palumbo, C., Rea, G., Murino, P., Rosa, R. C. D., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-001089 · Cited by 84
COVID‐19 and liver dysfunction: A systematic review and meta‐analysis of retrospective studies
Youssef, M. R., Hussein, M. H., Attia, A. S., Elshazli, R. M., Omar, M., Zora, G., Farhoud, A. S., Elnahla, A., Shihabi, A., Toraih, E. A., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26055 · Cited by 81
Relationship between blood eosinophil levels and COVID-19 mortality
Yan, B., Yang, J., Xie, Y., & Tang, X. (2021) · World Allergy Organization Journal · doi:10.1016/j.waojou.2021.100521 · Cited by 79
In-flight transmission of SARS-CoV-2
Choi, E. M., Chu, D. K. W., Cheng, P. K. C., Tsang, D. N. C., Peiris, M., Bausch, D. G., Poon, L. L. M., & Watson-Jones, D. (2020) · Emerging Infectious Diseases · doi:10.3201/eid2611.203254 · Cited by 76
Ko, H., Chung, H., Kang, W. S., Park, C., Kim, D., Kim, S. E., Chung, C. R., Ko, R., Lee, H., Seo, J. H., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/25442 · Cited by 75
In-flight transmission cluster of COVID-19: a retrospective case series
Yang, N., Shen, Y., Shi, C., Ma, A. H. Y., Zhang, X., Jian, X., Wang, L., Shi, J., Wu, C., Li, G., et al. (2020) · Scandinavian Journal of Infectious Diseases · doi:10.1080/23744235.2020.1800814 · Cited by 73
Self-citationThromboinflammatory Biomarkers in COVID-19: Systematic Review and Meta-analysis of 17,052 Patients
Chaudhary, R., Garg, J., Houghton, D. E., Murad, M. H., Kondur, A., Chaudhary, R., Wysokiński, W. E., & McBane, R. D. (2021) · Mayo Clinic Proceedings Innovations Quality & Outcomes · doi:10.1016/j.mayocpiqo.2021.01.009 · Cited by 73
Kumar, A., Arora, A., Sharma, P., Anikhindi, S. A., Bansal, N. K., Singla, V., Khare, S., & Srivastava, A. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3566166 · Cited by 69
Incubation period of COVID-19: A systematic review and meta-analysis
Quesada, J. A., López‐Pineda, A., Gil-Guillén, V. F., Arriero‐Marín, J. M., Gutiérrez, F., & Carratalá‐Munuera, C. (2020) · Revista Clínica Española (English Edition) · doi:10.1016/j.rceng.2020.08.002 · Cited by 69
Xu, X., Wu, Y., Kummer, A. G., Zhao, Y., Hu, Z., Wang, Y., Liu, H., Ajelli, M., & Yu, H. (2023) · BMC Medicine · doi:10.1186/s12916-023-03070-8 · Cited by 69
Longer incubation period of coronavirus disease 2019 (COVID‐19) in older adults
Kong, T. (2020) · Aging Medicine · doi:10.1002/agm2.12114 · Cited by 68
Wong, C. K. H., Wong, J. Y. H., Tang, E. H. M., Au, C. H., & Wai, A. K. C. (2020) · Scientific Reports · doi:10.1038/s41598-020-74988-9 · Cited by 69
Clinical features of COVID‐19 convalescent patients with re‐positive nucleic acid detection
Zhu, H., Fu, L., Jin, Y., Shao, J., Zhang, S., Zheng, N., Fan, L., Yu, Z., Ying, J., Hu, Y., et al. (2020) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.23392 · Cited by 67
Wei, Y., Zeng, W., Huang, X., Li, J., Qiu, X., Li, H., Liu, D., He, Z., Yao, W., Huang, P. C., et al. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-020-05252-8 · Cited by 66
Bezuidenhout, M. C., Wiese, O. J., Moodley, D. L., Maasdorp, E., Davids, M. R., Koegelenberg, C. F. N., Lalla, U., Wamono, A. A. K., Zemlin, A. E., & Allwood, B. (2020) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563220972539 · Cited by 76
Prevalence and outcome of dysnatremia in patients with COVID-19 compared to controls
Atila, C., Sailer, C. O., Bassetti, S., Tschudin‐Sutter, S., Bingisser, R. M., Siegemund, M., Osswald, S., Rentsch, K., Rueegg, M., Schaerli, S., et al. (2021) · European Journal of Endocrinology · doi:10.1530/eje-20-1374 · Cited by 64
Wei, X., Xiao, Y., Wang, J., Chen, R., Zhang, W., Yang, Y., Lv, D., Qin, C., Gu, D., Zhang, B., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.13547 · Cited by 73
Eosinopenia is associated with greater severity in patients with coronavirus disease 2019
Zhao, L., Zhang, Y., Yang, X., & Liu, X. (2020) · Allergy · doi:10.1111/all.14455 · Cited by 63
Liu, Y., Zhang, Z., Pan, X.-L., Xing, G.-L., Zhang, Y., Liu, Z.-S., & Tu, S.-H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0244779 · Cited by 64
A systematic meta‐analysis of immune signatures in patients with COVID‐19
Liu, K., Yang, T., Peng, X., Lv, S., Ye, X., Zhao, T., Li, J., Shao, Z., Lu, Q., Li, J., et al. (2020) · Reviews in Medical Virology · doi:10.1002/rmv.2195 · Cited by 66
Yan, Y., Li, X., Yang, L. J., Yan, P., & Tu, J. Y. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.107206 · Cited by 61
Wang, H., Qiu, P., Liu, J., Wang, F., & Zhao, Q. (2020) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2020.04.012 · Cited by 58
Risk of mortality in COVID-19 patients: a meta- and network analysis
Kowsar, R., Rahimi, A. M., Sroka, M., Mansouri, A., Sadeghi, K., Bonakdar, E., Kateb, S. F., & Mahdavi, A. H. (2023) · Scientific Reports · doi:10.1038/s41598-023-29364-8 · Cited by 61
Eosinophil Response Against Classical and Emerging Respiratory Viruses: COVID-19
Rodrigo-Muñoz, J. M., Sastre, B., Cañas, J. A., Gil‐Martínez, M., Redondo, N., & del Pozo, V. (2020) · Journal of Investigational Allergology and Clinical Immunology · doi:10.18176/jiaci.0624 · Cited by 59
Wassie, G. T., Azene, A. G., Bantie, G. M., Dessie, G., & Aragaw, A. M. (2020) · Current Therapeutic Research · doi:10.1016/j.curtheres.2020.100607 · Cited by 59
Influenza-associated pneumonia as reference to assess seriousness of coronavirus disease (COVID-19)
Tolksdorf, K., Buda, S., Schuler, E., Wieler, L. H., & Haas, W. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.11.2000258 · Cited by 58
Choi, H., Chatterjee, P., Coppin, J. D., Martel, J. A., Hwang, M., Jinadatha, C., & Sharma, V. K. (2021) · Environmental Chemistry Letters · doi:10.1007/s10311-021-01186-y · Cited by 60
Período de incubación de la COVID-19: revisión sistemática y metaanálisis
Quesada, J. A., López‐Pineda, A., Gil-Guillén, V. F., Arriero‐Marín, J. M., Gutiérrez, F., & Carratalá‐Munuera, C. (2020) · Revista Clínica Española · doi:10.1016/j.rce.2020.08.005 · Cited by 58
Morone, G., Palomba, A., Iosa, M., Caporaso, T., Angelis, D. D., Venturiero, V., Savo, A., Coiro, P., Carbone, D., Gimigliano, F., et al. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.00562 · Cited by 57
Probable aircraft transmission of Covid-19 in-flight from the Central African Republic to France
Eldin, C., Lagier, J., Mailhe, M., & Gautret, P. (2020) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2020.101643 · Cited by 56
Kumar, A., Arora, A., Sharma, P., Anikhindi, S. A., Bansal, N. K., Singla, V., Khare, S., & Srivastava, A. (2020) · Indian Journal of Gastroenterology · doi:10.1007/s12664-020-01058-3 · Cited by 55
Crucial laboratory parameters in COVID-19 diagnosis and prognosis: An updated meta-analysis
Soraya, G. V., & Ulhaq, Z. S. (2020) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2020.05.004 · Cited by 55
Khinda, J., Janjua, N. Z., Cheng, S. S. Y., van den Heuvel, E. R., Bhatti, P., & Darvishian, M. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26411 · Cited by 53
Clinical presentations of pain in patients with COVID-19 infection
Murat, S., Karatekin, B. D., İçağasıoğlu, A., Ulaşoğlu, C., İçten, S., & İncealtın, O. (2020) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-020-02433-x · Cited by 52
Metadata
- Authors
- Qian, G. Q., Yang, N. B., Ding, F., Ma, A. H. Y., Wang, Z. Y., Shen, Y. F., Shi, C. W., Lian, X., Chu, J. G., Chen, L., Wang, Z. Y., Ren, D. W., Li, G. X., Chen, X. Q., Shen, H. J., & Chen, X. M.
- Affiliations
- Ningbo First Hospital (CN)
- Shaoxing University (CN)
- University of Nottingham Ningbo China (CN)
- Department of Infectious Disease, Xiaoshan District People’s Hospital, Xiaoshan District, Hangzhou City, Zhejiang Province 311200
- Xiangshan County First People's Hospital (CN)
- Department of General Internal Medicine, Ningbo City First Hospital, Haishu District, Ningbo, Zhejiang Province 315000
- Corresponding author
- Chen, L
- Chen, X -Q
- Chen, X -M
- ORCID
- Ma, A H Y
- Venue
- QJM: An International Journal of Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-03-17
- Volume
- 113
- Issue
- 7
- Pages
- 474-481
- ISSN
- 0033-5622 (ISSN-L)
- 1460-2725
- 1460-2393
- PMC
- PMC7184349
- OpenAlex
- W3011527465
- Cited by
- 382
- References
- 20
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 9 · 2023: 18 · 2022: 50 · 2021: 117 · 2020: 181
- FWCI
- 11.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- QJM (publishedVersion, cc-by-nc)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Natural Science Foundation of Zhejiang Province (Q17H010001)
- Natural Science Foundation of Ningbo (2017A610246)
- Shaoxing Municipal Science and Technology Plan Project
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, hospitalized patients, epidemiological characteristics, clinical features, transmission routes, incubation period, bilateral pneumonia, Zhejiang, Ningbo
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, Adult, China, Cough, Female, Fever, Hospitalization, Humans, Male, Middle Aged, Pneumonia, Viral, Retrospective Studies, Radiography, Thoracic, Coronavirus Infections, Clinical Laboratory Techniques, 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.
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