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For: Zhang Z, Yao W, Wang Y, Long C, Fu X. Wuhan and Hubei COVID-19 mortality analysis reveals the critical role of timely supply of medical resources. J Infect. 2020;81:147-178. [PMID: 32209384 DOI: 10.1016/j.jinf.2020.03.018] [Cited by in Crossref: 36] [Cited by in F6Publishing: 35] [Article Influence: 18.0] [Reference Citation Analysis]
Number Citing Articles
1 Wang Q, Su M, Zhang M, Li R. Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare. Int J Environ Res Public Health 2021;18:6053. [PMID: 34199831 DOI: 10.3390/ijerph18116053] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Machado BAS, Hodel KVS, Barbosa-Júnior VG, Soares MBP, Badaró R. The Main Molecular and Serological Methods for Diagnosing COVID-19: An Overview Based on the Literature. Viruses 2020;13:E40. [PMID: 33383888 DOI: 10.3390/v13010040] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
3 Kenyon C. Flattening-the-curve associated with reduced COVID-19 case fatality rates- an ecological analysis of 65 countries. J Infect 2020;81:e98-9. [PMID: 32305488 DOI: 10.1016/j.jinf.2020.04.007] [Cited by in Crossref: 40] [Cited by in F6Publishing: 32] [Article Influence: 20.0] [Reference Citation Analysis]
4 Liu C, Lee YC, Lin YL, Yang SY. Factors associated with anxiety and quality of life of the Wuhan populace during the COVID-19 pandemic. Stress Health 2021;37:887-97. [PMID: 33739610 DOI: 10.1002/smi.3040] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Mohamed MFH, Al-Shokri S, Yousaf Z, Danjuma M, Parambil J, Mohamed S, Mubasher M, Dauleh MM, Hasanain B, AlKahlout MA, Abubeker IY. Frequency of Abnormalities Detected by Point-of-Care Lung Ultrasound in Symptomatic COVID-19 Patients: Systematic Review and Meta-Analysis. Am J Trop Med Hyg 2020;103:815-21. [PMID: 32500849 DOI: 10.4269/ajtmh.20-0371] [Cited by in Crossref: 27] [Cited by in F6Publishing: 19] [Article Influence: 13.5] [Reference Citation Analysis]
6 Sardesai I, Grover J, Garg M, Nanayakkara PWB, Di Somma S, Paladino L, Anderson HL 3rd, Gaieski D, Galwankar SC, Stawicki SP. Short Term Home Oxygen Therapy for COVID-19 patients: The COVID-HOT algorithm. J Family Med Prim Care 2020;9:3209-19. [PMID: 33102272 DOI: 10.4103/jfmpc.jfmpc_1044_20] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
7 Rainisch G, Undurraga EA, Chowell G. A dynamic modeling tool for estimating healthcare demand from the COVID19 epidemic and evaluating population-wide interventions. Int J Infect Dis 2020;96:376-83. [PMID: 32425631 DOI: 10.1016/j.ijid.2020.05.043] [Cited by in Crossref: 23] [Cited by in F6Publishing: 14] [Article Influence: 11.5] [Reference Citation Analysis]
8 Guo X, Chai R, Yao Y, Mi Y, Wang Y, Feng T, Tian J, Shi B, Jia J, Liu S. Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO. Front Public Health 2022;10:793176. [PMID: 35570917 DOI: 10.3389/fpubh.2022.793176] [Reference Citation Analysis]
9 Qiu T, Liang S, Dabbous M, Wang Y, Han R, Toumi M. Chinese guidelines related to novel coronavirus pneumonia.J Mark Access Health Policy. 2020;8:1818446. [PMID: 33133431 DOI: 10.1080/20016689.2020.1818446] [Cited by in Crossref: 6] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
10 Hassan EM, Mahmoud HN. Impact of multiple waves of COVID-19 on healthcare networks in the United States. PLoS One 2021;16:e0247463. [PMID: 33657621 DOI: 10.1371/journal.pone.0247463] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Flexman AM, Abcejo AS, Avitsian R, De Sloovere V, Highton D, Juul N, Li S, Meng L, Paisansathan C, Rath GP, Rozet I. Neuroanesthesia Practice During the COVID-19 Pandemic: Recommendations From Society for Neuroscience in Anesthesiology and Critical Care (SNACC). J Neurosurg Anesthesiol 2020;32:202-9. [PMID: 32301764 DOI: 10.1097/ANA.0000000000000691] [Cited by in Crossref: 45] [Cited by in F6Publishing: 21] [Article Influence: 22.5] [Reference Citation Analysis]
12 Zhou D, Gao L, Pan Q, He M. The Impacts of Medical Resources on Emerging Self-Limiting Infectious Diseases. Applied Sciences 2022;12:4255. [DOI: 10.3390/app12094255] [Reference Citation Analysis]
13 Wang C, Xiao X, Feng H, Hong Z, Li M, Tu N, Li X, Wang K, Bu L. Ongoing COVID-19 Pandemic: A Concise but Updated Comprehensive Review. Curr Microbiol 2021;78:1718-29. [PMID: 33847795 DOI: 10.1007/s00284-021-02413-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Peters EMJ, Schedlowski M, Watzl C, Gimsa U. To stress or not to stress: Brain-behavior-immune interaction may weaken or promote the immune response to SARS-CoV-2. Neurobiol Stress 2021;14:100296. [PMID: 33527083 DOI: 10.1016/j.ynstr.2021.100296] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
15 Zhan Z, Yang X, Du H, Zhang C, Song Y, Ran X, Zhang A, Yang M. Early Improvement of Acute Respiratory Distress Syndrome in Patients With COVID-19 in the Intensive Care Unit: Retrospective Analysis. JMIR Public Health Surveill 2021;7:e24843. [PMID: 33630743 DOI: 10.2196/24843] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
16 Liu X, Zhou H, Zhou Y, Wu X, Zhao Y, Lu Y, Tan W, Yuan M, Ding X, Zou J, Li R, Liu H, Ewing RM, Hu Y, Nie H, Wang Y. Risk factors associated with disease severity and length of hospital stay in COVID-19 patients. J Infect 2020;81:e95-7. [PMID: 32305490 DOI: 10.1016/j.jinf.2020.04.008] [Cited by in Crossref: 60] [Cited by in F6Publishing: 50] [Article Influence: 30.0] [Reference Citation Analysis]
17 Pinto Neto O, Kennedy DM, Reis JC, Wang Y, Brizzi ACB, Zambrano GJ, de Souza JM, Pedroso W, de Mello Pedreiro RC, de Matos Brizzi B, Abinader EO, Zângaro RA. Mathematical model of COVID-19 intervention scenarios for São Paulo-Brazil. Nat Commun 2021;12:418. [PMID: 33462211 DOI: 10.1038/s41467-020-20687-y] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 5.0] [Reference Citation Analysis]
18 Wang Z, Lin L, Guo Y, Xiong H, Tang K. The Uncounted Casualties of a Hidden COVID-19 Epidemic in China: Cross-sectional Study on Deaths Related to Overwork. J Med Internet Res 2021;23:e23311. [PMID: 33822735 DOI: 10.2196/23311] [Reference Citation Analysis]
19 Zhu X, Liu Y, Wang S, Wang R, Chen X, Wang W. Allocating resources for epidemic spreading on metapopulation networks. Applied Mathematics and Computation 2021;411:126531. [DOI: 10.1016/j.amc.2021.126531] [Reference Citation Analysis]
20 Alarid-Escudero F, Gracia V, Luviano A, Roa J, Peralta Y, Reitsma MB, Claypool AL, Salomon JA, Studdert DM, Andrews JR, Goldhaber-Fiebert JD; Stanford-CIDE Coronavirus Simulation Model (SC-COSMO) Modeling Consortium. Dependence of COVID-19 Policies on End-of-Year Holiday Contacts in Mexico City Metropolitan Area: A Modeling Study. MDM Policy Pract 2021;6:23814683211049249. [PMID: 34660906 DOI: 10.1177/23814683211049249] [Reference Citation Analysis]
21 Muñoz P, Galar A, Catalán P, Valerio M, Aldamiz-Echevarría T, Cólliga C, Bouza E; Gregorio Marañón Microbiology-ID COVID 19 Study Group. The first 100 cases of COVID-19 in a Hospital in Madrid with a 2-month follow-up. Rev Esp Quimioter 2020;33:369-78. [PMID: 32729288 DOI: 10.37201/req/072.2020] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
22 Alarid-Escudero F, Gracia V, Luviano A, Peralta Y, Reitsma MB, Claypool AL, Salomon JA, Studdert DM, Andrews JR, Goldhaber-Fiebert JD; Stanford-CIDE Coronavirus Simulation Model (SC-COSMO) Modeling Consortium. How do Covid-19 policy options depend on end-of-year holiday contacts in Mexico City Metropolitan Area? A Modeling Study. medRxiv 2020:2020. [PMID: 33398301 DOI: 10.1101/2020.12.21.20248597] [Reference Citation Analysis]
23 Jozaghi Y. Coronavirus disease 2019-The principles of the curve, explained simply. Head Neck 2020;42:1539-42. [PMID: 32476218 DOI: 10.1002/hed.26289] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
24 Zhong R, Chen L, Zhang Q, Li B, Qiu Y, Wang W, Tan D, Zou Y. Which Factors, Smoking, Drinking Alcohol, Betel Quid Chewing, or Underlying Diseases, Are More Likely to Influence the Severity of COVID-19? Front Physiol 2020;11:623498. [PMID: 33536941 DOI: 10.3389/fphys.2020.623498] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
25 Massie AB, Boyarsky BJ, Werbel WA, Bae S, Chow EKH, Avery RK, Durand CM, Desai N, Brennan D, Garonzik-Wang JM, Segev DL. Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study. Am J Transplant 2020;20:2997-3007. [PMID: 32515544 DOI: 10.1111/ajt.16117] [Cited by in Crossref: 35] [Cited by in F6Publishing: 30] [Article Influence: 17.5] [Reference Citation Analysis]
26 Ha JF. The COVID-19 pandemic, personal protective equipment and respirator: A narrative review. Int J Clin Pract 2020;74:e13578. [PMID: 32511834 DOI: 10.1111/ijcp.13578] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
27 Kim HJ, Han D, Kim JH, Kim D, Ha B, Seog W, Lee YK, Lim D, Hong SO, Park MJ, Heo J. An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study. J Med Internet Res 2020;22:e24225. [PMID: 33108316 DOI: 10.2196/24225] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
28 Hu XS, Hu CH, Zhong P, Wen YJ, Chen XY. Risk factors associated with acute respiratory distress syndrome in COVID-19 patients outside Wuhan: A double-center retrospective cohort study of 197 cases in Hunan, China. World J Clin Cases 2021; 9(2): 344-356 [PMID: 33521102 DOI: 10.12998/wjcc.v9.i2.344] [Reference Citation Analysis]
29 Montenegro FLM, Brescia MDG, Arap SS, Kulcsar MAV, Tavares MR, Kowalski LP. Parathyroid surgery during the COVID-19 pandemic: Time to think about the "New Normal". Clinics (Sao Paulo) 2020;75:e2218. [PMID: 32844959 DOI: 10.6061/clinics/2020/e2218] [Reference Citation Analysis]
30 Feikin DR, Widdowson MA, Mulholland K. Estimating the Percentage of a Population Infected with SARS-CoV-2 Using the Number of Reported Deaths: A Policy Planning Tool. Pathogens 2020;9:E838. [PMID: 33066231 DOI: 10.3390/pathogens9100838] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
31 Rojas F, Wanke P, Bravo F, Tan Y. Inventory pooling decisions under demand scenarios in times of COVID-19. Comput Ind Eng 2021;161:107591. [PMID: 34511709 DOI: 10.1016/j.cie.2021.107591] [Reference Citation Analysis]
32 Geetha S, Narayanamoorthy S, Manirathinam T, Kang D. Fuzzy case-based reasoning approach for finding COVID-19 patients priority in hospitals at source shortage period. Expert Syst Appl 2021;178:114997. [PMID: 33846668 DOI: 10.1016/j.eswa.2021.114997] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Wang M, Zhang J, Ye D, Wang Z, Liu J, He H, Shen B, Luo Z, Ye J, Xu Y, Zhao M, Liu M, Zhang P, Gu J, Pan W, Liu M, Li D, Wan J. Time-dependent changes in the clinical characteristics and prognosis of hospitalized COVID-19 patients in Wuhan, China: A retrospective study. Clin Chim Acta 2020;510:220-7. [PMID: 32645392 DOI: 10.1016/j.cca.2020.06.051] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
34 Hong D, Lee S, Choi YJ, Moon S, Jang Y, Cho YM, Lee H, Min S, Park H, Hahn S, Choi JY, Shin A, Kang D. The age-standardized incidence, mortality, and case fatality rates of COVID-19 in 79 countries: a cross-sectional comparison and their correlations with associated factors. Epidemiol Health 2021;43:e2021061. [PMID: 34525501 DOI: 10.4178/epih.e2021061] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
35 Lee SH. A Routine Sanger Sequencing Target Specific Mutation Assay for SARS-CoV-2 Variants of Concern and Interest. Viruses 2021;13:2386. [PMID: 34960655 DOI: 10.3390/v13122386] [Reference Citation Analysis]
36 Turki H, Hadj Taieb MA, Shafee T, Lubiana T, Jemielniak D, Aouicha MB, Labra Gayo JE, Youngstrom EA, Banat M, Das D, Mietchen D, on behalf of Wikiproject Covid-, Haller A. Representing COVID-19 information in collaborative knowledge graphs: The case of Wikidata. SW 2022;13:233-64. [DOI: 10.3233/sw-210444] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
37 He JL, Luo L, Luo ZD, Lyu JX, Ng MY, Shen XP, Wen Z. Diagnostic performance between CT and initial real-time RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China. Respir Med. 2020;168:105980. [PMID: 32364959 DOI: 10.1016/j.rmed.2020.105980] [Cited by in Crossref: 123] [Cited by in F6Publishing: 95] [Article Influence: 61.5] [Reference Citation Analysis]
38 Nguyen P, Tsai J, Dang T, Lin M, Pham H, Nguyen K. A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam. Mathematics 2021;9:2626. [DOI: 10.3390/math9202626] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
39 Hu H, Du H, Li J, Wang Y, Wu X, Wang C, Zhang Y, Zhang G, Zhao Y, Kang W, Lian J. Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis. J Glob Health 2020;10:020510. [PMID: 33110593 DOI: 10.7189/jogh.10.020510] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
40 Lin SH, Fu SC, Kao CM. Using the Novel Mortality-Prevalence Ratio to Evaluate Potentially Undocumented SARS-CoV-2 Infection: Correlational Study. JMIR Public Health Surveill 2021;7:e23034. [PMID: 33332282 DOI: 10.2196/23034] [Reference Citation Analysis]
41 Temsah MH, Alhuzaimi AN, Alamro N, Alrabiaah A, Al-Sohime F, Alhasan K, Kari JA, Almaghlouth I, Aljamaan F, Al-Eyadhy A, Jamal A, Al Amri M, Barry M, Al-Subaie S, Somily AM, Al-Zamil F. Knowledge, attitudes and practices of healthcare workers during the early COVID-19 pandemic in a main, academic tertiary care centre in Saudi Arabia. Epidemiol Infect 2020;148:e203. [PMID: 32854806 DOI: 10.1017/S0950268820001958] [Cited by in Crossref: 15] [Cited by in F6Publishing: 9] [Article Influence: 7.5] [Reference Citation Analysis]
42 Kenyon C. COVID-19 Infection Fatality Rate Associated with Incidence-A Population-Level Analysis of 19 Spanish Autonomous Communities. Biology (Basel) 2020;9:E128. [PMID: 32560071 DOI: 10.3390/biology9060128] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
43 Hu X, Hu C, Yang Y, Chen J, Zhong P, Wen Y, Chen X. Clinical characteristics and risk factors for severity of COVID-19 outside Wuhan: a double-center retrospective cohort study of 213 cases in Hunan, China. Ther Adv Respir Dis 2020;14:1753466620963035. [PMID: 33138694 DOI: 10.1177/1753466620963035] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
44 Wong JJM, Abbas Q, Anantasit N, Shimizu N, Malisie RF, Dang H, Xu F, Ong JSM, Lee PC, Saito O, Pon KM, Ikeyama T, Jayashree M, Samransamruajkit R, Cheng Y, Liauw F, Kurosawa H, Diaz AAN, Gan CS, Zhang F, Lee JH. Changes Adopted in Asian Pediatric Hospitals during the COVID-19 Pandemic: A Report from the Pediatric Acute and Critical Care COVID-19 Registry of Asia. J Pediatr Intensive Care. [DOI: 10.1055/s-0040-1722340] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
45 Kim HJ, Hwang H, Hong H, Yim JJ, Lee J. A systematic review and meta-analysis of regional risk factors for critical outcomes of COVID-19 during early phase of the pandemic. Sci Rep 2021;11:9784. [PMID: 33963250 DOI: 10.1038/s41598-021-89182-8] [Reference Citation Analysis]