Literature DB >> 32156648

2019 novel coronavirus (2019-nCoV) outbreak: A new challenge.

Tommaso Lupia1, Silvia Scabini2, Simone Mornese Pinna2, Giovanni Di Perri2, Francesco Giuseppe De Rosa2, Silvia Corcione2.   

Abstract

OBJECTIVES: Following the public-health emergency of international concern (PHEIC) declared by the World Health Organization (WHO) on 30 January 2020 and the recent outbreak caused by 2019 novel coronavirus (2019-nCoV) [officially renamed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)] in China and 29 other countries, we aimed to summarise the clinical aspects of the novelBetacoronavirus disease (COVID-19) and its possible clinical presentations together with suggested therapeutic algorithms for patients who may require antimicrobial treatment.
METHODS: The currently available literature was reviewed for microbiologically confirmed infections by 2019-nCoV or COVID-19 at the time of writing (13 February 2020). A literature search was performed using the PubMed database and Cochrane Library. Search terms included 'novel coronavirus' or '2019-nCoV' or 'COVID-19'.
RESULTS: Published cases occurred mostly in males (age range, 8-92 years). Cardiovascular, digestive and endocrine system diseases were commonly reported, except previous chronic pulmonary diseases [e.g. chronic obstructive pulmonary disease (COPD), asthma, bronchiectasis] that were surprisingly underreported. Fever was present in all of the case series available, flanked by cough, dyspnoea, myalgia and fatigue. Multiple bilateral lobular and subsegmental areas of consolidation or bilateral ground-glass opacities were the main reported radiological features of 2019-nCoV infection, at least in the early phases of the disease.
CONCLUSION: The new 2019-nCoV epidemic is mainly associated with respiratory disease and few extrapulmonary signs. However, there is a low rate of associated pre-existing respiratory co-morbidities.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  2019-nCoV; COVID-19; Coronavirus; Outbreak; Pneumonia; SAR-CoV-2

Mesh:

Year:  2020        PMID: 32156648      PMCID: PMC7102618          DOI: 10.1016/j.jgar.2020.02.021

Source DB:  PubMed          Journal:  J Glob Antimicrob Resist        ISSN: 2213-7165            Impact factor:   4.035


Introduction

During December 2019, a novel Betacoronavirus provisionally named 2019 novel coronavirus (2019-nCoV), and subsequently officially renamed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses (ICTV), causing coronavirus disease 2019 (or COVID-19), was associated with a cluster of respiratory tract infections in Wuhan, Hubei Province, China [1] and has rapidly spread across continents [2], [3]. At 17 February 2020, according to surveillance by the European Centre for Disease Prevention and Control (ECDC) and the US Centers for Disease Control and Prevention (CDC) [2], [3], 71 333 cases have been reported among 29 countries on five main continents, and the number of deaths was 1775, almost all occurring in China (N = 1770; with 1 case in each of the Philippines, Hong Kong, France, Taiwan and Japan), with a currently reported fatality rate of between 2–2.3% [2], [3]. In this short report, we aimed to summarise the clinical aspects of the novel Betacoronavirus infection and its possible manifestations.

Materials and methods

A literature search was performed using the PubMed database and Cochrane Library. Search terms included ‘novel coronavirus’ and ‘2019-nCoV’. The MeSH terms were ‘novel’ [all fields] AND (‘coronavirus’ [MeSH terms] OR ‘2019-nCoV’ [all fields]) OR ‘COVID-19’ [all fields]). The defined search period from 30 November 2019 to 13 February 2020 was selected to compare studies regarding the first outbreaks and findings. Given the nature of the review, no ethical approval was required. The search was performed by two investigators (SC and TL). A total of 225 studies were identified (PubMed, n = 225; Cochrane Library, n = 0). Two investigators then reviewed these articles, initially by title and abstract and then in detail, using a customised data abstraction form. Studies were excluded if they had an incorrect subject matter or were duplications or reviews. Only studies in English were included. Twelve studies were identified for full-text review as they contained original data.

Results

Patients characteristics

Most of the patients were male (Table 1 ) with an age range of 8–92 years: interestingly, in the first period of this global epidemic there have been few cases in young people aged <15 years [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15]. Nevertheless, among known infected subjects outside of China, the prevalence of males and the age distribution at the time of diagnosis resemble those in the Chinese epidemic [4], [6], [15]. Although past medical histories were not always available [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], hypertension was the most reported underlying condition [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] in as many as 80% and 31.2%, respectively, in the case series from Ren et al. [9] and Wang et al. [12]. Chen et al. [10] described mostly cardiovascular and cerebrovascular diseases (40%) in their population. Furthermore, Ren et al. [9] have reported underlying chronic liver disease in their whole population (n = 5) and this feature differs, at least so far, from the other cases of COVID-2019 [1], [4], [5], [6], [7], [8], [10], [11], [12], [13], [14], [15].
Table 1

Clinical and laboratory features of confirmed infection by 2019 novel coronavirus (2019-nCoV) currently (as of 13 February 2020) reported in the literature.a

AuthorDate of publicationContinentStateNo. of casesAge (range) (years)Sex (male rate)Past medical historySigns at admissionSymptoms at admissionLaboratory abnormalitiesCXR abnormalitiesWard of admissionTreatmentOutcome
COVID-19 National Incident Room Surveillance Team [15]12 February 2020OceaniaAustralia1543 (8–66)10 males (67%)N/AFever and/or chills (93%)Cough (73%)N/APneumoniaInternal medicine, ICUN/AFavourable
Kim et al. [14]10 February 2020AsiaIncheon, Korea135Female (N/A)ObesityFeverMyalgiaLeukopenia, thrombocytopenia and hepatic abnormalitiesMultiple ground-glass opacities located in both subpleural spacesN/ASupport, lopinavir/ritornavirFavourable
Wang et al. [13]09 February 2020AsiaShanghai, China419–633 males (75%)Fatty liver (1 patient); no underlying medical conditions in other threeFever (100%), rhonchi (100%)Cough, dizziness, fatigueLymphopenia (25%)Ground-glass opacities and consolidations, bilateral or monoliteralInternal medicineLopinavir/ritornavir, Shufeng Jiedu capsule, Arbidol (umifenovir)Favourable
Wang et al. [12]07 February 2020AsiaWuhan, Hubei, China13856 (22–92)75 males (54.3%)Hypertension (31.2%), CD (14.5%), DM (10.1%), malignancy (7.2%), COPD (2.9%), CKD (2.9%)Fever (98.6%)Fatigue (69.6%), dry cough (59.4%), diarrhoea (10.1%)Lymphopenia (70.3%), prolonged PT time (58%), elevated LDH (39.9%)Bilateral patchy shadows or ground-glass opacitie in the lungsICU, internal medicineSupport, empirical antibiotics and antiviral therapy6 died (4.3%)
Lui et al. [11]07 February 2020AsiaWuhan, Hubei, China13757 (20–83)61 males (44.5%)DM (10.2%), hypertension (9.5%), CD (7.3%), COPD (1.5%), malignancy (1.5%)Fever (81.8%)Cough (48%), myalgia or fatigue (32.1%), heart palpitations, diarrhoea and headacheLymphopenia (72.3%)Multiple, bilateral, peripheral ground-glass opacities and consolidations or cord-like shadows (CT imaging)Internal medicine, ICUEmpirical antibiotics (86.9%), antiviral therapy (76.6%), immunoglobulin G, systemic CTS16 died (11.7%)
Holshue et al. [4]31 January 2020AmericaSnohomish County, Washington135Male (100%)HypertriglyceridaemiaFever, tachycardia, lung rhonchi, dry mucous membraneDry cough, nausea and vomiting, abdominal discomfort, diarrhoea, fatigue, rhinorrhoeaLeukopenia, thrombocytopenia, elevated creatine kinase and lactate dehydrogenase, hepatic abnormalitiesLower lobe pneumonia, bilateral basilar streaky opacitiesInternal medicineSupport; vancomycin plus cefepime (from Day 9); remdesivirFavourable
Lei et al. [5]31 January 2020AsiaLanzhou, China133Female (N/A)N/AFever, coarse breath soundsCoughLeukopenia, elevated CRP, elevated ESRMultiple, bilateral, peripheral ground-glass opacities and consolidations or cord-like shadows (CT imaging)Internal medicineSupport, IFNN/A
Rothe et al. [6]30 January 2020EuropeMunich, Germany433Males (100%)HealthyFeverProductive coughN/AN/AInternal medicineN/AFavourable
Ren et al. [9]11 February 2020AsiaWuhan, China552 (41–65)3 males (60%)Chronic liver disease (100%), hypertension (80%)Fever (100%)Cough (100%), dyspnoea (100%), myalgia (60%)Leukopenia (20%), slightly increased ALT (40%)Bilateral ground-glass opacities (100%), consolidations (80%) on CXRICU (100%)Support, empirical antibiotics1 died (20%)
Chen et al. [10]30 January 2020AsiaWuhan, China9955 (42–68)67 males (68%)CD and cerebrovascular disease (40%), digestive system disease (11%), endocrine system disease (11%)Fever (83%),Cough (82%), shortness of breath (31%), confusion (9%), headache (8%)Lymphopenia (35%), thrombocytopenia (12%), AST increased (35%), ALT increased (28%)Bilateral consolidations (75%) on CXR or CTN/ASupport, empirical antibiotics, antiviral and antifungal11 died (11%)
Li et al. [7]29 January 2020AsiaWuhan, China42559 (15–89)240 males (56%)/NARespiratory S/s and less frequently GIRespiratory and less frequently GIN/AN/AN/AN/AN/A
Huang et al. [1]24 January 2020AsiaWuhan, China4149 (41–48)30 males (73%)DM (20%), hypertension (15%), CD (15%), COPD (2%)Fever (98%)Cough (76%), productive cough (28%), myalgia or fatigue (44%), dyspnoea (55%), headache (8%), haemoptysis (5%), diarrhoea (3%)Leukopenia (63%), increased AST (37%), increased troponin I (12%)41 (100%) CXR or CT findings of pneumonia; bilateral multiple lobular and subsegmental areas of consolidation or bilateral ground-glass opacities13 (32%) ICUEmpirical antibiotics, oseltamivir (93%), steroids (22%)6 died (15%)
Zhu et al. [8]24 January 2020AsiaWuhan, China349 (32–61)2 males (67%)N/AFeverCoughN/AN/AN/AN/AN/A

ALT, alanine aminotransferase; AST, aspartate aminotransferase; CD, cardiovascular disease; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; CT, computed tomography; CTS, corticosteroids; CXR, chest radiography; DM, diabetes mellitus; ESR, erythrocyte sedimentation rate; GI, gastrointestinal; ICU, intensive care unit; IFN, interferon; LDH, lactate dehydrogenase; N/A, not available; PT, prothrombin time.

Officially renamed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses (ICTV).

Clinical and laboratory features of confirmed infection by 2019 novel coronavirus (2019-nCoV) currently (as of 13 February 2020) reported in the literature.a ALT, alanine aminotransferase; AST, aspartate aminotransferase; CD, cardiovascular disease; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; CT, computed tomography; CTS, corticosteroids; CXR, chest radiography; DM, diabetes mellitus; ESR, erythrocyte sedimentation rate; GI, gastrointestinal; ICU, intensive care unit; IFN, interferon; LDH, lactate dehydrogenase; N/A, not available; PT, prothrombin time. Officially renamed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses (ICTV). Huang et al. [1] and Wang et al. [12] have shown a rate of chronic obstructive pulmonary disease (COPD) of approximately 2% and 2.9%, respectively. Subsequently, Chen et al. [10] have reported a rate of approximately 1% for respiratory system diseases, different from an estimated COPD prevalence of between 1.2–8.9% in different regions of China [16]. Moreover, interstitial lung disease, history of smoking, bronchiectasis or asthma were underreported [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15]. Diabetes was first mentioned by Huang et al [1] and represented the main co-morbidity in their cohort (8/41; 20%), and thereafter other authors [11], [12] reported diabetes in approximately 10% of subjects. Furthermore, among cases outside Asia, Holshue et al. [4] have mentioned hypertriglyceridemia as the sole chronic illness of the first US case of COVID-2019; on the other hand, German cases [6] were overall healthy.

Signs and symptoms

Patients with confirmed 2019-nCoV infection mostly had respiratory signs and symptoms [1], [4], [5], [6], [7], [8], [9], [10], [11]. Fever was reported in all of the case series available, flanked by cough, mostly dry (Table 1). Dyspnoea was not uncommon and was reported in the entire cohort by Ren et al. (n = 5; 100%) [9]. A significant proportion of patients complained of gastrointestinal symptoms such as nausea, vomiting and diarrhoea, also appearing during the course of illness, a distinct feature [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15]: Holshue et al. [4] meticulously described the evolution of the first US case, complaining first of respiratory symptoms (i.e. dry cough) followed by abdominal discomfort and self-limiting nausea, vomiting and diarrhoea. There was myalgia or fatigue in 44–60% of Asian case series [1], [9].

Chest radiographic abnormalities

Multiple bilateral lobular and subsegmental areas of consolidation or bilateral ground-glass opacities were the main reported radiological features of COVID-2019 [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15]. In the 41 patients in the case series reported by Huang et al. [1], all had plain chest radiography (CXR) or computed tomography (CT) findings of pneumonia. Although CT is the best method to define the extension and typology of lung parenchyma involvement, CXR was mostly employed as a first investigation, probably because of the associated need to comply with infection control procedures [5].

Laboratory abnormalities

Leukopenia was the most common abnormality [1], [4], [5], [6], [7], [8], [9], reported in up to 63% of subjects in the study by Huang et al. [1]. Thrombocytopenia occurred in the reports by Holshue et al. [4] and Chen et al. [10] but is rarely reported in other series [1], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], although low platelets counts were found in up to 45% of severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) infections [17], [18]. Nevertheless, abnormalities in hepatic [e.g. slight increase in aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels] and muscle (e.g. slight increase in creatine kinase or lactate dehydrogenase) enzymes were seen in early cases and later reported (Table 1) [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15]. As one might expect, C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) were frequently abnormal and, in contrast, most of the patients had normal procalcitonin (PCT) levels at admission: in the cohort of Huang et al. [1] up to 69% of patients had a PCT level of <0.1 ng/mL. Interestingly in the case series of Wang et al. [12] a prolonged prothrombin time was reported in approximately 58% of adults.

Complications and mortality

In one of the larger cohorts available by Huang et al. [1] with 41 patients, 4 (10%) had a superinfection and the risk increased with the intensity of care [intensive care unit (ICU) care 31% vs. no ICU care 0%; P = 0.0014], with almost all patients being treated with empirical antibiotic coverage during the acute phase. Furthermore, the risk of acute respiratory distress syndrome, with or without specific bacterial superinfection, complicated the clinical course of up to 29% of patients (12/41) [1]. In the same large cohort by Huang et al. [1], in up to 12% of cases an increase in troponin I count occurred, and five patients complained of an acute cardiac injury: this finding requires further study to assess the heart tropism of 2019-nCoV and the cardiovascular risk of infected patients during acute illness. Chen et al. [10] reported a low rate (4%) of fungal isolates with a clinical need for empirical antifungal treatment, with one case of Candida glabrata, three cases of C. albicans and one case, more important, of Aspergillus flavus isolation. Moreover, the authors reported a lower rate of bacterial respiratory isolates, mostly Acinetobacter baumannii and Klebsiella pneumoniae [10]; according to that, microbiological data are poor to represent all of the 2019-nCoV-infected population, and the follow-up time reported in the literature is too short to define the real burden of post-viral infectious complications. The first wave of 2019-CoV has caused 1775 deaths despite the severity of illness being mild in most of cases [1], [4], [5], [6], [7], [8], [9], [12], [14], [15]. Wang et al. [19] have interestingly reviewed the underlying diseases and demographic characteristics of deaths occurring in the Wuhan epidemic and found that older adults (>70 years) presented a shorter period between the first symptom and death compared with younger persons [11.5 (range 6–19) days vs. 20 (range 10–41) days; P = 0.033], as previously reported for other betacoronaviruses [17], [18]: this confirms the increased severity in the elderly for coronavirus illness [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15]. Furthermore, according to Wang et al. [19], 2019-CoV has developed a median period between the symptomatic phase to death (median 14 days) somewhat similar to MERS-CoV (median 14 days) and SARS-CoV (median 17.4 days) [12], [17], [18] (Table 2 ).
Table 2

Differences in pathogenicity and virulence of different coronaviruses currently reported in literature.

Main features2019-nCoV (COVID-19)SARSMERS
Possible natural reservoirBatBatBat
Mean incubation time in humans (days)3–655
OriginWuhan, ChinaGuangdong Province, ChinaArabian Peninsula
Case number (period)71 333 (as of 17 February 2020)8098 (2002–2003)2254 (2012–2013)
Type of illnessAcute respiratory syndromeSevere acute respiratory syndromeSevere acute respiratory syndrome
Severity of symptomsMild to moderateHighHigh compared with SARS
Fatality rate (%)2–2.3>10>35

2019-nCoV, 2019 novel coronavirus [officially renamed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)]; COVID-19, coronavirus disease 2019; SARS, severe acute respiratory syndrome; MERS, Middle East respiratory syndrome.

Differences in pathogenicity and virulence of different coronaviruses currently reported in literature. 2019-nCoV, 2019 novel coronavirus [officially renamed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)]; COVID-19, coronavirus disease 2019; SARS, severe acute respiratory syndrome; MERS, Middle East respiratory syndrome.

Discussion

We are daily assessing the real extent of the 2019-CoV epidemic and the scientific turmoil that is trying to keep up. We have learned, at least scientifically, the lesson from previous epidemics of SARS-CoV and MERS-CoV [17], [18], [20], [21]; therefore, we are awaiting the true extent of this new disease with its features, notably outside Chinese lands. The lack of specific clinical features, the diagnostic microbiological challenge [e.g. reverse transcription PCR (RT-PCR) on nasal or rhinopharyngeal swabs] along with the 2019-nCoV outbreak occurring during the delayed peak of the seasonal influenza make the definition of COVID-19 a difficult task [22]. On one hand, clinical symptoms such as high rate of fever and respiratory symptoms resemble previous features of coronavirus infection; on the other hand, systemic symptoms such as chills and rigors seen, respectively, in 87% and in up to 73% of cases during MERS-CoV and SARS-CoV epidemics, respectively, were an unusual phenomenon among 2019-nCoV infection [17], [18], [20], [21]. The usual pattern of presentation of the novel coronavirus is quite unspecific and is similar to many viral infections: most of the co-morbidities in the past MERS-CoV epidemic had included cardiovascular diseases (e.g. hypertension), history of smoking, and diabetes: although the number of chronic illnesses is low and underreported despite that, we are probably not that far to have a more precise overview [17], [18], [20], [21]. The high rate of radiological and clinically suspicious pneumonia reported in the reviewed cohorts of patients [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] call for a reflection, notably with a perspective view, on the need for empirical antibiotic coverage in the setting of possible bacterial superinfection, as in influenza virus outbreaks. As reported in 2003 for the SARS-CoV epidemic, there was an increased rate of methicillin-resistant Staphylococcus aureus (MRSA) from 3.53% (3.53 cases per 100 admissions) during the pre-SARS period to 25.3% during the SARS period (P < 0.001), with an increased rate of ventilator-acquired pneumonia in ICUs, mostly (47.1%) caused by MRSA [23]. Giving the number of common points between 2019-nCoV and previous coronavirus infection, anti-MRSA empirical treatment needs to be considered also with 2019-nCoV to reduce the risk of superinfection. Therefore, assessing the risk of MRSA and other difficult-to-treat bacterial superinfections such as Pseudomonas aeruginosa and multidrug-resistant Gram-negative bacilli colonisation, according to cardiovascular co-morbidities, lung abnormalities or systemic diseases, the severity of pneumonia and the risks of adverse events or drug-related toxicity are crucial points for all suspected cases of 2019-nCoV. A treatment algorithm is proposed and based on common risk factors for MRSA and/or P. aeruginosa (Fig. 1 ). The risk of fungal co-infection appears to be low [10], despite the fact that viral infections such as influenza and a large number of classical risk factors (e.g. haematological patients, solid-organ and haematopoietic stem cell transplant recipients, HIV patients) have been described as a favourable environment for invasive fungal infections, especially for invasive pulmonary aspergillosis [24]. Empirical antifungal treatment should only be considered in critically patients with new pulmonary infiltrate superimposed on a viral pneumonitis pattern, with the aim of confirming the diagnosis by invasive techniques and/or the use of fungal biomarkers. So far, data on the efficacy of specific antiviral treatments are inconclusive, and the current series have reported a wide range of management options [1], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15]. Holshue et al. [4] have resorted to compassionate use of remdesivir with a favourable outcome; on the other hand, Chen et al. [10] in their population (99 patients) described antiviral treatment in 75 patients (76%) with a median duration of 3 days (interquartile range, 3–6 days). In conclusion from an infectious diseases perspective, based on the lessons learned from the previous well-known coronavirus outbreaks (e.g. MERS-CoV and SARS-CoV), we have to be ready for further outbreaks and must focus our attention to the prompt diagnosis of cases and infection control procedures with isolation of suspected cases, and to anticipate those that may be the complications and evolutions in the course of the 2019-nCoV epidemic.
Fig. 1

Positive reverse transcription PCR (RT-PCR) for 2019-nCoV (SAR-CoV-2) and clinical and/or radiological suspicion of bacterial superinfection. 3G, third-generation; CA, community-acquired; CF, cystic fibrosis; COPD, chronic obstructive pulmonary disease; CRE, carbapenem-resistant Enterobacteriaceae; MDR, multidrug-resistant; MRSA, methicillin-resistant Staphylococcus aureus; PA, Pseudomonas aeruginosa; XDR, extensively drug-resistant.

Positive reverse transcription PCR (RT-PCR) for 2019-nCoV (SAR-CoV-2) and clinical and/or radiological suspicion of bacterial superinfection. 3G, third-generation; CA, community-acquired; CF, cystic fibrosis; COPD, chronic obstructive pulmonary disease; CRE, carbapenem-resistant Enterobacteriaceae; MDR, multidrug-resistant; MRSA, methicillin-resistant Staphylococcus aureus; PA, Pseudomonas aeruginosa; XDR, extensively drug-resistant.

Funding

None.

Competing interests

None declared.

Ethical approval

Not required.
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4.  Product of natural evolution (SARS, MERS, and SARS-CoV-2); deadly diseases, from SARS to SARS-CoV-2.

Authors:  Mohamad Hesam Shahrajabian; Wenli Sun; Qi Cheng
Journal:  Hum Vaccin Immunother       Date:  2020-08-12       Impact factor: 3.452

5.  Coronavirus disease (COVID-19) pandemic: an overview of systematic reviews.

Authors:  Israel Júnior Borges do Nascimento; Dónal P O'Mathúna; Thilo Caspar von Groote; Hebatullah Mohamed Abdulazeem; Ishanka Weerasekara; Ana Marusic; Livia Puljak; Vinicius Tassoni Civile; Irena Zakarija-Grkovic; Tina Poklepovic Pericic; Alvaro Nagib Atallah; Santino Filoso; Nicola Luigi Bragazzi; Milena Soriano Marcolino
Journal:  BMC Infect Dis       Date:  2021-06-04       Impact factor: 3.090

6.  An underestimated "false negative COVID cholecystitis" in Northern Italy and the contagion of a surgical ward: it can happen everywhere.

Authors:  Mari Giulio; Pietro Achilli; Maggioni Dario
Journal:  Updates Surg       Date:  2020-05-13

7.  Real-life study on the pharmacokinetic of remdesivir in ICU patients admitted for severe COVID-19 pneumonia.

Authors:  Silvia Corcione; Amedeo De Nicolò; Giorgia Montrucchio; Silvia Scabini; Valeria Avataneo; Chiara Bonetto; Simone Mornese Pinna; Jessica Cusato; Francesca Canta; Rosario Urbino; Giovanni Di Perri; Luca Brazzi; Francesco Giuseppe De Rosa; Antonio D'Avolio
Journal:  Br J Clin Pharmacol       Date:  2021-07-04       Impact factor: 3.716

8.  The Battle Against COVID-19 in Jordan: An Early Overview of the Jordanian Experience.

Authors:  Ala'a B Al-Tammemi
Journal:  Front Public Health       Date:  2020-05-07

9.  Multicenter analysis and a rapid screening model to predict early novel coronavirus pneumonia using a random forest algorithm.

Authors:  Suxia Bao; Hong-Yi Pan; Wei Zheng; Qing-Qing Wu; Yi-Ning Dai; Nan-Nan Sun; Tian-Chen Hui; Wen-Hao Wu; Yi-Cheng Huang; Guo-Bo Chen; Qiao-Qiao Yin; Li-Juan Wu; Rong Yan; Ming-Shan Wang; Mei-Juan Chen; Jia-Jie Zhang; Li-Xia Yu; Ji-Chan Shi; Nian Fang; Yue-Fei Shen; Xin-Sheng Xie; Chun-Lian Ma; Wan-Jun Yu; Wen-Hui Tu; Bin Ju; Hai-Jun Huang; Yong-Xi Tong; Hong-Ying Pan
Journal:  Medicine (Baltimore)       Date:  2021-06-18       Impact factor: 1.817

10.  A Fully-Automated Method to Evaluate Coronavirus Disease Progression with COVID-19 Cough Sounds Using Minimal Phase Information.

Authors:  Farook Sattar
Journal:  Ann Biomed Eng       Date:  2021-06-03       Impact factor: 3.934

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