Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive study

Assiri, Abdullah M.; Al‐Tawfiq, Jaffar A.; Al-Rabeeah, Abdullah A.; Alrabiah, Fahad; Al-Hajjar, Sami; Albarrak, Ali; Flemban, Hesham; Al‐Nassir, Wafa N.; Balkhy, Hanan H.; Alhakeem, Rafat F.; Makhdoom, Hatem Q.; Zumla, Alimuddin; Memish, Ziad A.

doi:10.1016/s1473-3099(13)70204-4

Cited by 1,324 publications

(1,657 citation statements)

References 26 publications

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“…Between June 2012 and September 2012, acute lower respiratory infection cases were reported in the Middle East, with pathology similar to that of SARS. Of these, one patient was hospitalized in an intensive care unit and another patient died; they both appeared to have severe acute respiratory infection combined with renal failure (Assiri et al, 2013;Scobey et al, 2013;Martinez et al, 2014). World health organization (WHO) determined that the pathogen is a novel coronavirus with many similarities to SARS virus (Ge et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections

Lin¹,

Ye²,

Yl³

2015

Genet. Mol. Res.

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ABSTRACT. Novel coronavirus (nCoV) belongs to the Coronaviridae family, which includes the virus that causes SARS, or severe acute respiratory syndrome. However, infection source, transmission route, and host of nCoV have not yet been thoroughly characterized. In some cases, nCoV presented a limited person-to-person transmission. Therefore, early diagnosis of nCoV may be of importance for reducing the spread of disease in public. Methods for nCoV diagnosis involve smear dyeing inspection, culture identification, and real-time PCR detection, all of which are proved highly effective. Here, we performed a meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing nCoV infection. Fifteen articles conformed to the inclusion and exclusion criteria for further meta-analysis on the basis of a wide range of publications searched from databases involving PubMed, EMBASE, Web of Science, Medline, ISI. We analyzed the stability and publication bias as well as examined the heterogeneity inspection of real-time PCR detection in contrast to smear staining and culture identification. The fixed-effect model was adopted in our meta-analysis. Our result demonstrated that the combination of real-time PCR and Real-time PCR for nCoV detection smear diagnostics yielded an odds ratio (OR) = 1.91, 95% confidence interval (CI) = 1.51-2.41, Z = 5.43, P < 0.05, while the combination of real-time PCR and culture identification yielded OR = 2.44, 95%CI = 1.77-3.37, Z = 5.41, P < 0.05. Therefore, we propose real-time PCR as an efficient method that offers an auxiliary support for future nCoV diagnosis.

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Section: Introductionmentioning

confidence: 99%

A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections

Lin¹,

Ye²,

Yl³

2015

Genet. Mol. Res.

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“…In Saudi Arabia, 62-72z of MERS-CoV cases were men (14,15). In other countries with imported MERS-CoV cases, most of the patients were also men (16,17).…”

mentioning

confidence: 97%

Epidemiological and Clinical Characteristics of Patients with Middle East Respiratory Syndrome Coronavirus in Iran in 2014

2017

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“…Statistical reports reveal a 3-fold increase in disease prevalence over 4 months meaning that the epidemic is still raging. Mortality rates of up to 30 % are especially high in patients with comorbidities; patients with immunodeficiency or other primary diseases are also susceptible to the infection [21,22]. There is also a serious risk of nosocomial transmission [23].…”

Section: New Coronavirusesmentioning

confidence: 99%

Emergence of new infections in the 21st century and identification of pathogens using next generation sequencing

et al. 2017

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Каждое новое инфекционное заболевание может быть серьезным вызовом для современной медицины. Измене-ние окружающей среды, вырубка тропических лесов, таяние льдов в Антарктике, увеличение плотности населения и повсеместное использование антибиотиков -все это факторы, провоцирующие появление новых патогенов. Эпидемии гриппа, вызываемые новыми штаммами вируса; респираторные синдромы, вызываемые новыми коро-навирусами; вспышки инфекций, причиной которых является гемолитическая кишечная палочка; возникновение резистентных к антибиотикам супербактерий -примеры того, какие опасности могут поджидать человечество. В число первоочередных мер, которые необходимо предпринять для противодействия новым патогенам, входит раз-работка способов их быстрой и точной идентификации. В обзоре рассмотрены случаи возникновения в XXI веке новых инфекционных агентов, а также проанализированы возможность и перспективы использования для выявления и идентификации новых патогенов методов высокопроизводительного секвенирования (next generation sequence).Ключевые слова: инфекционные агенты, патогенные организмы, методы выявления новых патогенов, высокопроиз-водительное секвенирование, коронавирус, вирус гриппа, горизонтальный перенос генов, антибиотикорезистентность CENTURY AND IDENTIFICATION OF PATHOGENS USING NEXT GENERATION SEQUENCINGEach new emerging infection may become a big challenge to the medical community. Changing environment, tropical deforestation, melting of the Antarctic ice, growing population density and uncontrolled use of antibiotics provoke emergence and evolution of pathogens. Epidemics caused by new strains of the influenza virus, respiratory syndromes associated with coronaviruses, outbreaks of hemolytic Escherichia coli infections and antibiotic-resistant superbacteria are hazards to humans. Among high-priority measures for pathogen control that are yet to be taken is development of fast and accurate techniques for pathogen identification. Our review looks at the cases of new infections registered in the 21 st century and explores feasibility of next generation sequencing for the detection and identification of new pathogens.

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Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive study

Abstract: None.

Cited by 1,324 publications

References 26 publications

A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections

A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections

Epidemiological and Clinical Characteristics of Patients with Middle East Respiratory Syndrome Coronavirus in Iran in 2014

Emergence of new infections in the 21st century and identification of pathogens using next generation sequencing

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