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2020 9
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Estimates of the severity of coronavirus disease 2019: a model-based analysis.
Verity R, Okell LC, Dorigatti I, Winskill P, Whittaker C, Imai N, Cuomo-Dannenburg G, Thompson H, Walker PGT, Fu H, Dighe A, Griffin JT, Baguelin M, Bhatia S, Boonyasiri A, Cori A, Cucunubá Z, FitzJohn R, Gaythorpe K, Green W, Hamlet A, Hinsley W, Laydon D, Nedjati-Gilani G, Riley S, van Elsland S, Volz E, Wang H, Wang Y, Xi X, Donnelly CA, Ghani AC, Ferguson NM. Verity R, et al. Lancet Infect Dis. 2020 Jun;20(6):669-677. doi: 10.1016/S1473-3099(20)30243-7. Epub 2020 Mar 30. Lancet Infect Dis. 2020. PMID: 32240634 Free PMC article.
BACKGROUND: In the face of rapidly changing data, a range of case fatality ratio estimates for coronavirus disease 2019 (COVID-19) have been produced that differ substantially in magnitude. ...INTERPRETATION: These early estimates
BACKGROUND: In the face of rapidly changing data, a range of case fatality ratio estimates for coronavirus disease 2
Estimating the infection-fatality risk of SARS-CoV-2 in New York City during the spring 2020 pandemic wave: a model-based analysis.
Yang W, Kandula S, Huynh M, Greene SK, Van Wye G, Li W, Chan HT, McGibbon E, Yeung A, Olson D, Fine A, Shaman J. Yang W, et al. Lancet Infect Dis. 2021 Feb;21(2):203-212. doi: 10.1016/S1473-3099(20)30769-6. Epub 2020 Oct 19. Lancet Infect Dis. 2021. PMID: 33091374 Free PMC article.
METHODS: In this model-based analysis, we developed a meta-population network model-inference system to estimate the underlying SARS-CoV-2 infection rate in New York City during the 2020 spring pandemic wave using available case, mortality, and …
METHODS: In this model-based analysis, we developed a meta-population network model-inference system to estim
Evidence for possible association of vitamin D status with cytokine storm and unregulated inflammation in COVID-19 patients.
Daneshkhah A, Agrawal V, Eshein A, Subramanian H, Roy HK, Backman V. Daneshkhah A, et al. Aging Clin Exp Res. 2020 Oct;32(10):2141-2158. doi: 10.1007/s40520-020-01677-y. Epub 2020 Sep 2. Aging Clin Exp Res. 2020. PMID: 32876941 Free PMC article.
The adaptive average of T-CMR (A-CMR) was calculated as a metric of COVID-19 associated mortality. A model based on positivity change (PC) and an estimated prevalence of COVID-19 was used to determine countries with similar screeni …
The adaptive average of T-CMR (A-CMR) was calculated as a metric of COVID-19 associated mortality. A model based
Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic.
Cooper I, Mondal A, Antonopoulos CG. Cooper I, et al. Chaos Solitons Fractals. 2020 Oct;139:110298. doi: 10.1016/j.chaos.2020.110298. Epub 2020 Sep 18. Chaos Solitons Fractals. 2020. PMID: 32982084 Free PMC article.
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of the spread of COVID-19 in four countries of interest. ...We considered data from March to August, 2020, when different communities were affected severely
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of the spread of COVID-19
Rapid Epidemiological Analysis of Comorbidities and Treatments as risk factors for COVID-19 in Scotland (REACT-SCOT): A population-based case-control study.
McKeigue PM, Weir A, Bishop J, McGurnaghan SJ, Kennedy S, McAllister D, Robertson C, Wood R, Lone N, Murray J, Caparrotta TM, Smith-Palmer A, Goldberg D, McMenamin J, Ramsay C, Hutchinson S, Colhoun HM; Public Health Scotland COVID-19 Health Protection Study Group. McKeigue PM, et al. PLoS Med. 2020 Oct 20;17(10):e1003374. doi: 10.1371/journal.pmed.1003374. eCollection 2020 Oct. PLoS Med. 2020. PMID: 33079969 Free PMC article.
BACKGROUND: The objectives of this study were to identify risk factors for severe coronavirus disease 2019 (COVID-19) and to lay the basis for risk stratification based on demographic data and health records. METHODS AND FINDINGS: …
BACKGROUND: The objectives of this study were to identify risk factors for severe coronavirus disease 2019 (C
A Theoretical Model to Investigate the Influence of Temperature, Reactions of the Population and the Government on the COVID-19 Outbreak in Turkey.
Öz Y. Öz Y. Disaster Med Public Health Prep. 2020 Sep 9:1-9. doi: 10.1017/dmp.2020.322. Online ahead of print. Disaster Med Public Health Prep. 2020. PMID: 32900399 Free PMC article.
OBJECTIVES: The ongoing coronavirus disease 2019 (COVID-19) pandemic, which was initially identified in December 2019 in the city of Wuhan in China, poses a major threat to worldwide health care. ...CONCLUSIONS: Although most countries ac …
OBJECTIVES: The ongoing coronavirus disease 2019 (COVID-19) pandemic, which was initially identified in D …
Impact of intervention on the spread of COVID-19 in India: A model based study.
Senapati A, Rana S, Das T, Chattopadhyay J. Senapati A, et al. J Theor Biol. 2021 Aug 21;523:110711. doi: 10.1016/j.jtbi.2021.110711. Epub 2021 Apr 20. J Theor Biol. 2021. PMID: 33862090 Free PMC article.
The outbreak of coronavirus disease 2019 (COVID-19), caused by the virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has already created emergency situations in almost every country of the world. ...In this work, w …
The outbreak of coronavirus disease 2019 (COVID-19), caused by the virus severe acute respiratory …
Mathematical modelling and optimal cost-effective control of COVID-19 transmission dynamics.
Olaniyi S, Obabiyi OS, Okosun KO, Oladipo AT, Adewale SO. Olaniyi S, et al. Eur Phys J Plus. 2020;135(11):938. doi: 10.1140/epjp/s13360-020-00954-z. Epub 2020 Nov 25. Eur Phys J Plus. 2020. PMID: 33262923 Free PMC article.
The novel coronavirus disease (COVID-19) caused by a new strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains the current global health challenge. ...Further, Lyapunov function is constructed to investigate the s …
The novel coronavirus disease (COVID-19) caused by a new strain of severe acute respiratory syndrome c
Predicting severe or critical symptoms in hospitalized patients with COVID-19 from Yichang, China.
Chen X, Peng F, Zhou X, Zhu J, Chen X, Gong Y, Shupeng W, Niu W. Chen X, et al. Aging (Albany NY). 2020 Dec 9;13(2):1608-1619. doi: 10.18632/aging.202261. Epub 2020 Dec 9. Aging (Albany NY). 2020. PMID: 33318316 Free PMC article.
OBJECTIVES: We aimed to identify potential risk factors for severe or critical coronavirus disease 2019 (COVID-19) and establish a prediction model based on significant factors. ...RESULTS: 326 patients were diagnosed with m …
OBJECTIVES: We aimed to identify potential risk factors for severe or critical coronavirus disease 2019 (COVI
Development and validation of a clinical score to estimate progression to severe or critical state in COVID-19 pneumonia hospitalized patients.
Gude F, Riveiro V, Rodríguez-Núñez N, Ricoy J, Lado-Baleato Ó, Lourido T, Rábade C, Lama A, Casal A, Abelleira-París R, Ferreiro L, Suárez-Antelo J, Toubes ME, Pou C, Taboada-Muñiz M, Calle-Velles F, Mayán-Conesa P, Del Molino MLP, Galbán-Rodríguez C, Álvarez-Escudero J, Beceiro-Abad C, Molinos-Castro S, Agra-Vázquez N, Pazo-Núñez M, Páez-Guillán E, Varela-García P, Martínez-Rey C, Pernas-Pardavila H, Domínguez-Santalla MJ, Vidal-Vázquez M, Marques-Afonso AT, González-Quintela A, González-Juanatey JR, Pose A, Valdés L. Gude F, et al. Sci Rep. 2020 Nov 13;10(1):19794. doi: 10.1038/s41598-020-75651-z. Sci Rep. 2020. PMID: 33188225 Free PMC article.
The prognosis of a patient with COVID-19 pneumonia is uncertain. Our objective was to establish a predictive model of disease progression to facilitate early decision-making. ...The probability of progression to severe disease was esti
The prognosis of a patient with COVID-19 pneumonia is uncertain. Our objective was to establish a predictive model of …
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