Systematically comparing COVID-19 with the 2009 influenza pandemic for hospitalized patients

Li, Pengfei; Peppelenbosch, Maikel P.; Ma, Zhiyong; Pan, Qiuwei

doi:10.1016/j.ijid.2020.11.127

Cited by 22 publications

(20 citation statements)

References 24 publications

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“…In this review, 14 studies of 18 [ 5 , 6 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 18 , 19 , 20 , 21 ] reported a comparison between COVID-19 and influenza patients based on demographic findings, comorbidities, clinical features, and outcome ( Table 2 ). Fever and respiratory symptoms such as cough, expectoration or sputum production and dyspnea were the main symptoms in both groups with COVID-19 and influenza; however, they were significantly more frequent in patients with influenza [ 5 , 9 , 10 , 11 , 13 , 15 , 16 , 19 , 20 ]. Moreover, vomiting, otorhinolaryngological symptoms such as nasal congestion, rhinorrhea, sore throat and ocular symptoms such as tearing and conjunctival hyperhemia were statistically more frequent in patients with influenza than COVID-19 adult patients [ 5 , 10 , 11 , 12 , 15 ].…”

Section: Resultsmentioning

confidence: 99%

“…Fever and respiratory symptoms such as cough, expectoration or sputum production and dyspnea were the main symptoms in both groups with COVID-19 and influenza; however, they were significantly more frequent in patients with influenza [ 5 , 9 , 10 , 11 , 13 , 15 , 16 , 19 , 20 ]. Moreover, vomiting, otorhinolaryngological symptoms such as nasal congestion, rhinorrhea, sore throat and ocular symptoms such as tearing and conjunctival hyperhemia were statistically more frequent in patients with influenza than COVID-19 adult patients [ 5 , 10 , 11 , 12 , 15 ]. In patients infected with COVID-19, the most significant and frequent clinical features were fatigue, neurologic symptoms such as headache (especially facial headache: retro-orbital or frontal headache), anosmia and dysgeusia, gastro-intestinal (GI) symptoms such as diarrhea and acute respiratory distress syndrome (ARDS), compared to influenza patients [ 11 , 13 , 14 , 15 , 18 ].…”

Section: Resultsmentioning

confidence: 99%

“…On PubMed, 331 articles were initially found, out of which 46 articles were selected. In the end, 18 articles were selected [3,[5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] (8 retrospective studies, 6 cohort studies, 3 casecontrol studies, 1 prospective study, 1 cross-sectional study, 1 review and meta-analysis, and 1 review) ( Figure 1 and Table 1) An outcome-free study population is first identified by the exposure/event of interest and followed in time until the outcome of interest happens. They can be prospective (carried out from the present time into the future) or retrospective (carried out at the present time and look to the past to examine medical events or outcome).…”

Section: Included Citations In the Covid-19 Vs Influenza Reviewmentioning

confidence: 99%

“…There have been few studies comparing COVID-19 with influenza mainly focused on epidemiological features in the general population [ 5 ]. However, no review study compared clinical, biological, and radiological characteristics between COVID-19 and influenza.…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Systematic Review of COVID-19 and Influenza

Osman

Klopfenstein

Belfeki³

et al. 2021

Viruses

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Background: Both SARS-CoV-2 and influenza virus share similarities such as clinical features and outcome, laboratory, and radiological findings. Methods: Literature search was done using PubMed to find MEDLINE indexed articles relevant to this study. As of 25 November 2020, the search has been conducted by combining the MeSH words “COVID-19” and “Influenza”. Results: Eighteen articles were finally selected in adult patients. Comorbidities such as cardiovascular diseases, diabetes, and obesity were significantly higher in COVID-19 patients, while pulmonary diseases and immunocompromised conditions were significantly more common in influenza patients. The incidence rates of fever, vomiting, ocular and otorhinolaryngological symptoms were found to be significantly higher in influenza patients when compared with COVID-19 patients. However, neurologic symptoms and diarrhea were statistically more frequent in COVID-19 patients. The level of white cell count and procalcitonin was significantly higher in influenza patients, whereas thrombopenia and elevated transaminases were significantly more common in COVID-19 patients. Ground-grass opacities, interlobular septal thickening, and a peripheral distribution were more common in COVID-19 patients than in influenza patients where consolidations and linear opacities were described instead. COVID-19 patients were significantly more often transferred to intensive care unit with a higher rate of mortality. Conclusions: This study estimated differences of COVID-19 and influenza patients which can help clinicians during the co-circulation of the two viruses.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Included Citations In the Covid-19 Vs Influenza Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Comparative Systematic Review of COVID-19 and Influenza

Osman

Klopfenstein

Belfeki³

et al. 2021

Viruses

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“…Common symptoms include fever, cough, shortness of breath, myalgia, frailty, and fatigue. Electromyography (EMG) signal is used to diagnosis patients with severe patients [ 2 , 3 ]. Many patients who recovered from COVID-19 experience severe acute respiratory syndrome and fatigue.…”

Section: Introductionmentioning

confidence: 99%

Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients

Subramani¹,

Srinivas

et al. 2021

Pers Ubiquit Comput

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Many Coronavirus disease 2019 (COVID-19) and post-COVID-19 patients experience muscle fatigues. Early detection of muscle fatigue and muscular paralysis helps in the diagnosis, prediction, and prevention of COVID-19 and post-COVID-19 patients. Nowadays, the biomedical and clinical domains widely used the electromyography (EMG) signal due to its ability to differentiate various neuromuscular diseases. In general, nerves or muscles and the spinal cord influence numerous neuromuscular disorders. The clinical examination plays a major role in early finding and diagnosis of these diseases; this research study focused on the prediction of muscular paralysis using EMG signals. Machine learning–based diagnosis of the diseases has been widely used due to its efficiency and the hybrid feature extraction (FE) methods with deep learning classifier are used for the muscular paralysis disease prediction. The discrete wavelet transform (DWT) method is applied to decompose the EMG signal and reduce feature degradation. The proposed hybrid FE method consists of Yule-Walker, Burg’s method, Renyi entropy, mean absolute value, min-max voltage FE, and other 17 conventional features for prediction of muscular paralysis disease. The hybrid FE method has the advantage of extract the relevant features from the signals and the Relief-F feature selection (FS) method is applied to select the optimal relevant feature for the deep learning classifier. The University of California, Irvine (UCI), EMG-Lower Limb Dataset is used to determine the performance of the proposed classifier. The evaluation shows that the proposed hybrid FE method achieved 88% of precision, while the existing neural network (NN) achieved 65% of precision and the support vector machine (SVM) achieved 35% of precision on whole EMG signal.

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The Human Face of the Pandemic

Aspalter

2023

Covid-19 Pandemic

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Systematically comparing COVID-19 with the 2009 influenza pandemic for hospitalized patients

Cited by 22 publications

References 24 publications

A Comparative Systematic Review of COVID-19 and Influenza

A Comparative Systematic Review of COVID-19 and Influenza

Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients

The Human Face of the Pandemic

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