scholarly journals 1427. Key Clinical Research Questions Asked During Epidemic Respiratory Outbreaks: A Systematic Review of the Literature Published on Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S719-S720
Author(s):  
Carlyn L Harris ◽  
Gail Carson ◽  
Harish Nair

Abstract Background As evidenced by the COVID-19 pandemic, rapid collection of data on clinical characterization, treatment, and diagnostics to inform rapid public health response is paramount in an outbreak of a novel infectious agent. In 2018, The World Health Organization R&D Blueprint identified a list of priority diseases for accelerated research based on their potential to cause a public health emergency. Among these diseases were Severe acute respiratory syndrome-coronavirus (SARS-CoV) and Middle East respiratory syndrome-coronavirus (MERS-CoV). To facilitate a rapid research response during an outbreak, standardized research protocols must be prepared before the outbreak occurs. The aim of this systematic review is to identify the most common clinical research questions asked during outbreaks of SARS-CoV and MERS-CoV to inform future clinical research protocol development for coronaviruses. Methods Medline, Embase, and Global Health bibliographic databases were searched to identify clinical studies published on SARS-CoV and MERS-CoV in the outbreak setting. Studies were grouped thematically according to the clinical research question addressed. Results From the research questions and objectives, eleven themes in the literature were identified: Clinical characterisation, prognosis, diagnosis, clinical management, viral pathogenesis, epidemiological characterisation, infection prevention and control, transmission, susceptibility, psychosocial, and aetiology. Case series made up the highest proportion of study designs, while clinical trials made up the lowest. 83% of the SARS-CoV studies were published after the end of the outbreak. Themes and key clinical questions asked during outbreaks of SARS and MERS Conclusion The thematic analysis was used to identify the key clinical research questions asked during outbreaks of SARS-CoV and MERS-CoV and study designs were recommended to answer these questions. By defining the key clinical research questions, this study provides a first step in creating standardized clinical research protocols and defining core data variables to be collected during future outbreaks of respiratory coronaviruses. Disclosures All Authors: No reported disclosures

2020 ◽  
Vol 22 (2) ◽  
pp. 43-47
Author(s):  
Marcia Salmon

Coronavirus Research Database is created and maintained by ProQuest. It is freely available to existing ProQuest customers and is an authoritative source of information on Coronavirus Disease pandemic (Covid-19) and past coronavirus epidemics such as Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). It has a robust search engine and a clean user interface. ProQuest Coronavirus Research Database has become a reputable and reliable research source for coronavirus research and the virus’s impact on public health.


2020 ◽  
Author(s):  
Rashmi Phalnikar ◽  
Subhal Dixit ◽  
Harsha Talele

The COVID-19 infection caused by Novel Corona Virus has been declared a pandemic and a public health emergency of international concern. Infections caused by Corona Virus have been previously recognized in people and is known to cause Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Unlike the earlier infections, COVID19 spreads alarmingly and the experience and volume of the scientific knowledge on the virus is small and lacks substantiation. To manage this crisis, Artificial intelligence (AI) promises to play a key role in understanding and addressing the COVID-19 crisis. It tends to be valuable to identify the infection, analyse it, treat it and also predict the stages of infection. Artificial intelligence algorithms can be applied to make diagnosis of COVID-19 and stepping up research and therapy. The paper explains a detailed flowchart of COVID-19 patient and discusses the use of AI at various stages. The preliminary contribution of the paper is in identifying the stages where the use of Artificial Intelligence and its allied fields can help in managing COVID-19 patient and paves a road for systematic research in future.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1615-1621
Author(s):  
Subaraman M ◽  
Keerthi Sasanka L ◽  
Gayathri R ◽  
Dhanraj Ganapathy

According to the World Health Organization (WHO), viral diseases continue to emerge and cause a serious issue to public health. In the last twenty years, several viral epidemics such as H1N1 influenza in 2009, the severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002 to 2003, and, have been recorded. Most recently, the Middle East respiratory syndrome coronavirus (MERS-CoV) was first identified in Saudi Arabia in 2012 and now COVID19. Initially, the new one was called 2019-nCoV.Later, the group of experts of the International Committee on Taxonomy of Viruses (ICTV) termed it the SARS-CoV-2 virus as it is similar to the one that caused the SARS outbreak (SARS-CoVs). Coronavirus is one of the main pathogens that target the human respiratory system. Past outbreaks of coronaviruses (CoVs) comprises the Middle East respiratory syndrome (MERS)-CoV and severe acute respiratory syndrome (SARS)-CoV which have been reported as agents that are a great public health threat. A group of patients was admitted to hospitals with an initial diagnosis of pneumonia of an unknown aetiology, In late December 2019. A questionnaire was designed online in Google docs which consisted of 15 questions. The study population included was dental students. Later statistics were analysed and studied. The response collected and the data was analysed. The responses were half mixed about on the brain. But in total, the results are positive.  This survey concluded that dental students are aware of the isolation and incubation of COVID19.


2022 ◽  
pp. 1394-1401
Author(s):  
Suci Safwa Salsabila ◽  
Andi Surahman Batara ◽  
Nurfardiansyah Bur

Covid-19 adalah ancaman yang nyata dihadapi oleh negara di dunia. sejak tanggal 30 Januari 2020 WHO telah menetapkan sebagai Kedaruratan Kesehatan Masyarakat Yang Meresahkan Dunia / Public Health Emergency of International Concern (KKMMD/PHEIC). Penambahan jumlah kasus COVID-19 berlangsung cukup cepat dan sudah terjadi penyebaran antar negara. virus corona adalah virus yang menyebabkan flu biasa hingga penyakit yang lebih parah seperti Middle east respiratory syndrome coronavirus (MERS-CoV)  dan Severe acute respiratory syndrome (SARSCoV) dan menyebabkan kematian. sampai saat ini, belum ada vaksin untuk mencegah infeksi virus corona,adapun tujuan dari penelitian ini adalah untuk mengetahui faktor yang mempengaruhi kepribadian karyawan terhadap kepatuhan dalam menjalankan protokol covid-19.Penelitian ini bersifat kuantitatif dengan rancangan pendekatan cross sectional study. Populasi dalam penelitian ini adalah 80 karyawan menara UMI dan dipilih menggunakan Total sampling. Pengumpulan data menggunakan kuesioner secara offline selama satu bulan. Analisi data yang digunakan di dalam penelitian ini berupa analisis bivariate menggunakan uji chi square. Hasil Penelitian didapatkan bahwa terdapat faktor yang memiliki pengaruh terhadap kepatuhan karyawan dalam menjalankan protokol covid-19 yaitu kepribadian (p 0,000), sehingga diketahui bahwa variabel tersebut memberikan pengaruh nyata terhadap kepatuhan karyawan terhadap protokol covid-19.


2021 ◽  
Vol 3 (2) ◽  
pp. 79-85
Author(s):  
Iqbal Hanash Dhefer

The pathogen of the new 2019 coronavirus disease (COVID-19), the sever acute respiratory syndrome coronavirus 2 (SARS-Cov-2), presented a significant risk to health care. The WHO has described the SARS-CoV-2 infection outbreak as an international public health emergency. The main damage caused by the infection with SARS-CoV-2 was known to be lung infections. Previous research revealed that liver damage is prevalent in patients infected with the additional widely zoonotic coronaviruses, Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS), and has been reviewed in relation to the severity of MERS, SARS, and COVID-19 diseases. Likewise, the mechanism and features of liver damage and liver injury has also been observed, as outlined in this review, which results in extreme cases during the phases of the disease.


2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Alaa Badawi ◽  
Sueng Gwan Ryoo

Over the past two decades a number of severe acute respiratory infection outbreaks such as the 2009 influenza A (H1N1) and the Middle East respiratory syndrome coronavirus (MERS-CoV) have emerged and presented a considerable global public health threat. Epidemiologic evidence suggests that diabetic subjects are more susceptible to these conditions. However, the prevalence of diabetes in H1N1 and MERS-CoV has not been systematically described. The aim of this study is to conduct a systematic review and meta-analysis of published reports documenting the prevalence of diabetes in H1N1 and MERS-CoV and compare its frequency in the two viral conditions. Meta-analysis for the proportions of subjects with diabetes was carried out in 29 studies for H1N1 (n=92,948) and 9 for MERS-CoV (n=308). Average age of H1N1 patients (36.2±6.0 years) was significantly younger than that of subjects with MERS-CoV (54.3±7.4 years, P<0.05). Compared to MERS-CoV patients, subjects with H1N1 exhibited 3-fold lower frequency of cardiovascular diseases and 2- and 4-fold higher prevalence of obesity and immunosuppression, respectively. The overall prevalence of diabetes in H1N1 was 14.6% (95% CI: 12.3- 17.0%; P<0.001), a 3.6-fold lower than in MERS-CoV (54.4%; 95% CI: 29.4-79.5; P<0.001). The prevalence of diabetes among H1N1 cases from Asia and North America was ~two-fold higher than those from South America and Europe. The prevalence of diabetes in MERS-CoV cases is higher than in H1N1. Regional comparisons suggest that an etiologic role of diabetes in MERS-CoV may exist distinctive from that in H1N1.


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