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1.
12th Indian Conference on Human-Computer Interaction, India HCI 2021 ; : 11-18, 2021.
Article in English | Scopus | ID: covidwho-1741701

ABSTRACT

Along with the COVID-19 pandemic came another major threat of pandemic-related misinformation spreading across social media. It has affected all walks of life, not sparing employees of organizations as well. As an employee awareness measure to reduce the misinformation and panic, we developed a serious game to train various do's and don'ts of the pandemic. We chose an enterprise awareness game Phishy, having a 'survival' theme, and suitably repurposed it to create COVID-19 awareness game Govid. Appropriate modifications were made to the original game so that there is synergy between the new game story and the learning content. Repurposing greatly reduced the development time, which helped us to develop and deploy the game within just seven days. Govid was played by 2,372 employees of our organization. Using a pre-test and post-test method, we observed that Govid participants had a correctness percentage of 95.6% in answering COVID-19-related questions after playing the game. Our results show that a repurposed game with an engaging gameplay coupled with appropriate learning content shows positive results in the learning outcome. With this, we present an early investigation of the effectiveness of repurposed serious games for an enterprise context. © 2021 ACM.

2.
Journal of Association of Physicians of India ; 69(9):25-27, 2021.
Article in English | Scopus | ID: covidwho-1404482

ABSTRACT

Importance & Objective: First case of Covid-19 pneumonia was reported in Wuhan and soon it became pandemic.1 Pulmonary tuberculosis (TB) is mainly a disease of tropical and poor countries like India.9 Initially, it wasn’t clear how these two diseases will interact with each other. We tried to determine if TB has any impact on course and prognosis of Covid-19 pneumonia. Design & Setting: In this retrospective analytical study, data of 7774 patients were collected from various state government owned hospitals of India. Chest CT scans were reviewed for present or past stigmata of pulmonary TB, CORADS and CT severity score. Statistical analysis was done for class wise frequency distribution and association of attributes were calculated. Results: 95.01% Patients with Covid- 19 pneumonia didn’t have CT signs of history of active or old healed pulmonary TB, while 4.99% had it. In first group 44.85 % mild, 36.17 % moderate and 13.98 % had severe disease, while in second group figure is 3.39 % 1.21 % and 0.40 % respectively. Probability of TB providing immunity against developing moderate or severe form of Covid-19 pneumonia is 0.6778. Conclusions: Patients with active or past history of TB are less prone to develop moderate or severe form of Covid-19 pneumonia. It may be the reason for less mortality in health resource poor India as compared to Europe or America. © 2021 Journal of Association of Physicians of India. All rights reserved.

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