COVID 19 Viral Clearance Among the Infected Healthcare Workers In Assiut University Hospitals
Study Details
Study Description
Brief Summary
This work was aimed to determine the time of COVID 19 viral clearance in healthcare workers, assessment of clinical presentation and severity of COVID 19 infection among healthcare workers and discover relation between the time of COVID 19 viral clearance resolution of symptoms
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Detailed Description
COVID-19 has been spreading rapidly globally, with a considerable impact on global morbidity, mortality and healthcare utilization. This viral disease is caused by the Coronaviruses (CoV) which belong to the genus'coronavirus' of the Coronaviridae family.
Coronaviruses are enveloped positive strand RNA viruses with the largest known RNA genomes-30-32 kb-with a 50 -cap structure and 30 -poly-A tail (Lei et al.2018). The transcription works through the replication-transcription complex (RCT) organized in double-membrane vesicles and via the synthesis of subgenomic RNAs (sgRNAs) sequences. Of note, transcription termination occurs at transcription regulatory sequences, located between the so-called open reading frames (ORFs). In the atypical CoV genome, at least six ORF scan could be present (Woo et al., 2020) .
Health workers are at the front line of the COVID-19 outbreak response and as such are exposed to hazards that put them at risk of infection (Li e al.,2020). thus keeping the implementation of infection prevention and control (IPC) and its knowledge and practice are of great importance in healthcare settings to protect them from infections (Wang et al., 2020).
Study Design
Outcome Measures
Primary Outcome Measures
- the time of Covid 19 viral clearance in medical healthcare workers and its relation to clinical presentation, severity among and resolution of symptoms. [basline]
different relations between different symptoms, investigation results and time of viral clearness
Secondary Outcome Measures
- knowledge and practice of infection control measures [baseline]
good and bad knowledge or practice
Eligibility Criteria
Criteria
Inclusion Criteria:
- Covid 19 infected healthcare workers.
Exclusion Criteria:
- Risky healthcare workers (diabetic hypertensive and more than 50 years)
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Assiut University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- Lei J, Kusov Y, Hilgenfeld R. Nsp3 of coronaviruses: Structures and functions of a large multi-domain protein. Antiviral Res. 2018 Jan;149:58-74. doi: 10.1016/j.antiviral.2017.11.001. Epub 2017 Nov 8. Review.
- Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KSM, Lau EHY, Wong JY, Xing X, Xiang N, Wu Y, Li C, Chen Q, Li D, Liu T, Zhao J, Liu M, Tu W, Chen C, Jin L, Yang R, Wang Q, Zhou S, Wang R, Liu H, Luo Y, Liu Y, Shao G, Li H, Tao Z, Yang Y, Deng Z, Liu B, Ma Z, Zhang Y, Shi G, Lam TTY, Wu JT, Gao GF, Cowling BJ, Yang B, Leung GM, Feng Z. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. N Engl J Med. 2020 Mar 26;382(13):1199-1207. doi: 10.1056/NEJMoa2001316. Epub 2020 Jan 29.
- Wang J, Zhou M, Liu F. Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China. J Hosp Infect. 2020 May;105(1):100-101. doi: 10.1016/j.jhin.2020.03.002. Epub 2020 Mar 6.
- Woo PC, Huang Y, Lau SK, Yuen KY. Coronavirus genomics and bioinformatics analysis. Viruses. 2010 Aug;2(8):1804-20. doi: 10.3390/v2081803. Epub 2010 Aug 24.
- COVID19 among HCWs