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Background: Post-COVID conditions are a wide range of new, returning, or ongoing health problems employees can experience more than four weeks after first being infected with the COVID-19 virus. Long term complications of COVID drastically affects the productivity of working population. Objective(s): A cluster of employees with COVID-19 infection were successively intervened at TATA Motors, Jamshedpur. We aimed to reduce the post COVID complications amongst infected employees thereby reducing the morbidity and improving the productivity at workplace. Method(s): Employees with COVID-19 (confirmed by RAT/ CBNAAT or RT-PCR) were retrospectively enrolled. Based on various international guidelines, Post COVID functional status Scale and Post-COVID Mental Stress Assessment Scale were developed and introduced amongst target population. Employees with poor functional status Scale score (with score 3 and 4) were undergone mandatory preventive health checks (including physical, systemic, radiology/pathology examination). Employees with high mental stress score (with score 15 and above) were undergone psychiatric evaluation. Follow up assessment was done after six months. Result(s): 590 employees who got diagnosed COVID Positive between March 11, 2021, and June 9, 2021, were retrospectively enrolled. Universal sampling method was used for subject selection. The cohort included 519 (88%) men and 71 (12%) women, and the mean age was 45 5 years. The mean number of employees with poor functional status score (score 3 and 4) was 48 (8.1%). The mean number of employees with moderate mental stress score (score 10 to 14) was 27 (4.5%) and severe mental stress score (score 15 to 19) was 11 (1.8%). Employees with history of hospitalization (for more than 3 days) predominantly got diagnosed with poor functional and mental stress score (46 out of total 158 hospitalizations). At the end of six months interventions, around 42 (87%) employees got migrated from poor score category to mild category. The prevalence of major chronic systemic illnesses (3 cases of chronic Cardiac disease, 2 cases of Chronic Respiratory issues and 2 cases of psychiatry illnesses) remained below national prevalence. Conclusion(s): Preventive health interventions are really effective in achieving the prevalence of Post COVID morbidities amongst employees below the average national prevalence. Repeated medical follow up after first and six months of infection ensured better physical and mental wellbeing of employees improving their productivity at workplace. .
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Background: Patients on OCR have attenuated antibody, but largely intact T-cell responses to COVID-19 vaccination. Little is known about durability of post-vaccine responses in OCR-treated patients. Objective(s): To examine antibody and cellular responses to mRNA COVID-19 vaccines (Pfizer, BioNTech/Moderna) in Ocrelizumab (OCR)-treated MS patients over 24-week period. Method(s): MS patients on OCR were recruited from NYU (New York City) and Rocky Mountain at CU (Denver) MS Centers. Antibody responses to SARS-CoV-2 spike proteins were assessed with multiplex bead-based (MBI) immunoassays, and cellular responses to SARS-CoV-2 Spike protein with ELISpot and activation induced marker (AIM) panel in a Cytek Aurora full-spectrum flow cytometry platform. Data on samples collected pre-vaccine and 4-, 12-, 24-weeks post 2-doses and 4-, 12-weeks post-third dose will be presented. Result(s): 40/61 enrollees (age 38.3+/-10.9;77.5% female;57.5% non-white) had 24-week post-vaccination data and 9 patients had 4-week post 3rd dose data. Antibody response increased from prevaccine level of 972.0 U/mL to 6307.4 U/mL at week-4 (p=0.0002), then decreased to 4633.8 u/mL at week-12 (26% decrease from week-4, p=0.1377), and further to 2878.4 u/mL at week-24 (37% decrease from week-12, p value=0.109). Spikespecific IFNgamma T-cell responses by ELIspot were 125.7 SFU/106 cells pre-vaccine, increased to 362.9 SFU/106 cells at week-4 (p=0.009), then to 511.5 SFU/106 cells at week-12 (40.9% increase relative to 4-week time-point, p=0.8474), and remained elevated at 501.7 SFU/106 cells at week-24 (p=0.7393, 1.9% compared to week 12). 4-week post 3rd dose, Ab level increased to 5094.8 U/mL (189.9% compared to pre-3rd dose, p =0.076) and IFNgamma responses to 1253.3 SFU/106 cells (484.5% increase, p=0.037). Conclusion(s): Antibody responses to 2-series vaccine peaked at 4 weeks and trended downward thereafter, while cellular responses were sustained at 24 weeks. Third-dose resulted in marked increases in both antibody and T-cell responses 4-weeks. Expanded analyses, including in-depth immunophenotyping and 12-week post 3rd vaccination responses will be presented.
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Background: Covid-19 pandemic has forced the medical education to switch from traditional learning to virtual learning. Many different platforms are available for virtual learning. And like any other teaching-learning method, this new method also has its pros and cons. But the important thing is how the medical students perceive this technique. Hence, the study was planned to understand the student’s perception regarding Virtual learning. Methods: A cross-sectional study was conducted among under-graduate medical students across various medical colleges in India, via a Google form. Total 824 medical students participated in the study. Results: Out of 824 participants, 36.2% feel that students do not listen to the virtual class attentively from start to end. 79.2% agree that there is more distraction during virtual learning and 77.1% students feel that virtual learning is boring because of lack of interaction between teacher and students. Also 47.3% students don’t think that it is easy to clear doubts during virtual learning. 77.5% agree that there are more chances of scrolling the social media during virtual learning. According to 67.7% students, only the knowledge aspect is better learnt during the virtual learning. But the 50.1% students agree that virtual learning is cost-effective and time-saving. Still, 90.9% students prefer traditional learning considering all aspects of medical education Conclusion: Despite having certain advantages, medical students still prefer conventional method of learning to acquire different competencies, while the virtual learning remains supportive method. Many issues need to be addressed for wide acceptance of virtual learning. © 2021. All Rights Reserved.
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The Covid-19 pandemic has proven to be the most disastrous pandemic in the history. Millions of people have lost their lives sending nations into lockdown and economic slowdowns. Given the fact that no specific anti-viral treatment is yet suggested for treating Covid-19 infection, 'Social distancing' is probably the most effective tool so far in stopping the virus spread. This paper has proposed an IoT based doorbell which alerts the house owner about arrival of a visitor having fever and who could be a Covid-19 patient. The system uses NodeMCU and MLX90614 non-contact infrared temperature sensor. FireBase online database is used to log all the readings of the system and a companion mobile App is also provided. The system was extensively tested using an experimental set up under various conditions. The system works with 99% average accuracy of body temperature measurement. © 2021 IEEE.