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1.
Frontiers in Communication ; 6:8, 2021.
Article in English | Web of Science | ID: covidwho-1350257

ABSTRACT

The outbreak of the novel coronavirus, severe acute respiratory syndrome (SARS)-CoV-2, has gained unprecedented global attention. SARS-CoV-2, which causes the newly described coronavirus disease 2019 (COVID-19), has affected millions of people and led to over 1.9 million deaths worldwide by the beginning of January 2021. Several governments have opted for lockdown as one of the measures to combat the rapidly increasing number of COVID-19 cases. Academic institutions (i.e., universities, colleges, research centers and national laboratories), which are home to thousands of students, researchers, technicians, and administrative staff, have strictly followed government regulations. Due to the lockdown, the majority of academics have been facing various challenges, especially in transitioning from classroom to remote teaching and conducting research activities from a home office. This article from an early-career researchers' perspective addresses the common challenges that academic institutions have encountered and possible strategies they have adopted to mitigate those challenges at the individual organizational level. Furthermore, we propose a framework to facilitate the handling of such crisis in any near future at the organizational level. We hope academics, policymakers and (non) government organizations across the globe will find this perspective a call to better improve the overall infrastructure of academic institutions.

2.
Journal of Clinical and Diagnostic Research ; 15(2):4, 2021.
Article in English | Web of Science | ID: covidwho-1129836

ABSTRACT

Introduction: Novel Coronavirus-2019 (nCoV-2019) is capable of human-to-human transmission and can lead to acute respiratory distress syndrome similar to Middle East Respiratory Syndrome (MERS) due to lung parenchyma destruction. Some patients with COVID-19 consistently demonstrated no hypoxaemia, however, some patients develop sense of difficulty in breathing due to increased airway resistance. Aim: To assess the potential of High Resolution Computed Tomography (HRCT) thorax as an early predictor of hypoxaemia in COVID-19 patients. Materials and Methods: A prospective longitudinal cohort study of 1000 Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmed COVID-19 and HRCT thorax positive patients, who were monitored simultaneously for SpO(2) levels, were undertaken. HRCT findings were graded into Computerised Tomography Severity Index (CTSI) and correlated with patient's SpO(2) levels, at the time of scan on admission. Patients, who had normal SpO(2) levels (>= 95%) at the time of initial scan, were monitored upto five days. Pearson's correlation test was used to find correlation between CTSI and SpO(2) levels. Results: In present study group there was male predominance (4:1). Fever was the most common clinical presentation followed by cough. HRCT thorax features were categorised as Typical 769 (76.9%), Indeterminate 176 (17.6%) and atypical 55 (5.5%). 371 (82.8%) patients with SpO(2) >95% were having CTSI between 0-7, similarly 189 (54.4%) patients with SpO(2) 90-94% were having CTSI between 8-15 and 133 (64.8%) patients with SpO(2) <90% were having CTSI between 16-25. So, the present study categorised the patients into three groups-Category 1 (CTSI 0-7), Category 2 (CTSI 8-15) and Category 3 (CTSI 16-25) for better and prompt identification of clinical severity and their management. Majority of patients in CTSI category 1, 2 and 3 were having SpO(2) levels >= 95%, 90-94% and <90%, respectively. Statistical correlation between CTSI and SpO(2) levels at the time of initial scan was significant (Pearson's correlation coefficient (r)=-0.261 and p-value <0.01). Number of patients who developed hypoxaemia (SpO(2) <95%) on follow-up in CTSI Category 1, 2 and 3 were 42 (11.32%), 10 15.87%) and 2 (14.28%), respectively. The association between CTSI and development of hypoxaemia based on follow-up SpO(2) levels was statistically found to be insignificant (chi-square value=1.21, degree of freedom (d.f.) 2 and p-value=0.570). Conclusion: In present study group, a negative correlation was established between CTSI and SpO(2) levels. The association between CTSI and development of hypoxaemia on follow-up SpO(2) monitoring was found to be non-significant statistically. So, HRCT thorax cannot be relied upon as an early predictor of hypoxaemia in COVID-19 patients.

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