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No comprehensive statistical assessment of publication bias has been conducted in remdesivir-based intervention research for COVID-19 patients. This study aims to examine all meta-analyses of the efficacy of remdesivir interventions in COVID-19 patients and perform a statistical assessment of publication bias.

This is an analytic study conducted to assess the impact of publication bias on the results of meta-analyses of remdesivir-based interventions in patients infected with COVID-19. All English full-text meta-analyses published in peer-reviewed journals in 2019–2021 were included. A computerized search of PubMed and Web of Science electronic databases was performed on December 24, 2021. The trim-and-fill method calculated the number of missing studies and the adjusted cumulative effect sizes.

The final analysis comprised 21 studies with 88 outcomes. The investigation revealed missing studies in 46 outcomes (52%). Seventy-six missing studies were replaced in the outcomes using the trim-and-fill procedure. The adjusted recalculated effect sizes of the 27 outcomes increased by an average of 0.04. In comparison, the adjusted effect size of 18 outcomes fell by an average of 0.036. Only 14 out of 46 outcomes with publication bias were subjected to a gray literature search (30%). To discover related research, no gray literature search was conducted in most outcomes with publication bias (n = 32; 70%). In conclusion, the reported effect estimates regarding the effect of remdesivir in COVID-19 patients are only slightly affected by publication bias and can be considered authentic. Health-care decision-makers in COVID-19 should consider current research results when making clinical decisions.

Most health decisions are based on the effect sizes revealed in meta-analyses. When deciding on remdesivir-based treatment for COVID-19 patients, therefore, the outcomes of this investigation may be of paramount importance to health policymakers, leading to better treatment strategies.

According to the results, no major publication bias and missing studies were detected on average. Therefore, the calculated effect sizes of remdesivir-based interventions on meta-analyses can be used as authentic and unbiased benchmarks by health-care decision-makers in treating patients with COVID-19.

This is the first study to examine the effect of publication bias and gray literature searches on the results of meta-analyses of treatment with COVID-19 (remdesivir).

The present digital world’s challenging issue is COVID-19. This paper is related to the process of the COVID-19 treatment based on age, gender, symptoms and previous health issues. This paper gives the deep discussion about the prevention, symptoms, tests and treatment process. In this research work, the discussion is about vaccine invention and the side effects of the consumed medication.

This paper gives a clear explanation of the types of vaccine, which are lopinavir, ritonavir, remdesivir, hydroxychloroquine, chloroquine and plasma therapy. Thereafter, the discussion is prolonged to Indian vaccine for COVID-19.

This paper examines some of the COVID-19 treatment processes and difficulties, and finally, this paper aims to summarize and give an overview of the present preclinical research and clinical trials of potential candidates for COVID-19 treatments and vaccines.

The required information has been taken from online databases such as PubMed, Science, Nature, PNAS and Cell. Papers included were published between December 2019 and July 2020. The current results indicate the most promising outcomes for dexamethasone as a treatment and vaccine. Further research is needed to identify safe and effective treatments and vaccines for COVID-19.

The learning outcomes are as follows: identify and evaluate the impact of risk factors for health-care organizations during crisis; evaluate the role of different organizational factors in building resilient health-care organizations; define organizational resilience in a health-care context; and apply the effect-strategy-impact resilience framework.

September 2022 found Ranjan Thakur, the Hospital Director at Manipal Hospital, Jaipur (MHJ) reflecting on MHJ’s resilience toward future health-care crises. MHJ was established in the capital city Jaipur of the Indian state of Rajasthan in 2014, as a 225-bed multispecialty unit of the nationally renowned Manipal Health Enterprises Ltd. As the Hospital Director, Thakur had been responsible for navigating his team and the hospital through the multiple health-care related challenges exacerbated by the multiple waves of the Covid-19 pandemic in a large Indian state with a sizable rural and semiurban population. Though Thakur and his team of doctors had worked through the vulnerabilities of their health-care ecosystem, mapping the risks and mitigating the same, Thakur asked himself if they had done enough. He wondered how a health-care institution such as theirs could sustain effective health-care delivery during future crises situations to deliver high-quality health care to the vulnerable communities. Had they effectively mapped MHJ’s vulnerabilities and built resilience into the hospital’s functioning? The backdrop of the case is public health in the state of Rajasthan (Jaipur), and the case is rich in detailing social factors such as behavior issues of patients, doctors and nurses; operational factors such as standardization of treatment and standard operating procedures, availability of resources, clinical concerns; leadership and management of the hospital through the pandemic. This case can be used by instructors to teach organizational resilience building in the health-care context.

Graduate- and executive-level courses in managing change during crisis in health-care context; health-care management/leadership.

Teaching notes are available for educators only.

CSS 7: Management Science.

The purpose of this paper is to describe and discuss the use of Chinese medicine in the prevention and treatment of coronavirus disease 2019 (COVID-19) in China and Asia.

This paper provides a brief overview of the COVID-19. Based on the syndrome differentiation (辨證論治), the concept of clearing heat and detoxifying lung in traditional Chinese medicine is used to prevent and treat COVID-19 through restoring the vital qi (正氣) in human body and regulating the lung as well as spleen to strengthen the immune system. Traditional Chinese medicine has been used as a complementary therapy for the possible intervention of COVID-19 including traditional Chinese herbal decoctions, Chinese traditional patent medicines, acupuncture and moxibustion as well as the traditional health exercises in China and parts of Asia.

Traditional Chinese medicine plays a significant role in the prevention and treatment of COVID-19 pandemic. The infection cases of China are around 80,000 and a steady decline compared with the USA which has 5,000,000 infection cases and continuous increases. It is shown that more than 90% of patients recovered after the treatment of traditional Chinese herbal decoctions and Chinese traditional patent medicines without any side-effect compared to the use of Remdesivir (GS-5734). Acupuncture (針灸) and moxibustion (艾灸) stimulate the immune and nervous systems for preventing infectious diseases. Taichi (太極) and Baduanjin (八段錦) as the auxiliary aerobic exercise under the theory of Chinese medicine can enhance the immune system and improve the lung function. Thus, an integration of traditional Chinese Medicine and Western medicine is the best strategy for the prevention, treatment and control of COVID-19 pandemic in the future.

This paper describes traditional Chinese medicine as an effective way for the prevention and treatment of COVID-19.

The coronavirus (COVID-19) is the worst pandemic in recent memory in terms of its economic and social impacts. Deadly second wave of COVID-19 in India shook the country and reshaped the ways organizations functions and societies behave. Medical infrastructure was unaffordable and unsupportive which created high distress in the Indian society, especially for poor. At this juncture, some pharmaceutical firms made a unique social investment when they reduced price of drugs used to treat COVID-19 patients. This study aims to examine how the market and the society respond to the price reduction announcement during the psychological distress of COVID-19.

Market reactions have been analyzed by conducting an event study on stock market data and visual analytics-based sentiment analysis on Twitter data.

Overall, this study finds positive abnormal returns on the day and around the day of event. Interestingly, this study finds that returns during the time of high distress are significantly higher. Sentiment analysis conveys that net sentiment is favorable to the pharmaceutical firms around the day of event and it sustains more during the time of high distress.

This study is unique in contributing to the business and industrial management literature by highlighting market reactions to social responsibility of business during the time of psychological distress in emerging economies.

Innovation thrives during crises. Covid-19 gives one such opportunity to the pharmaceutical industry. Product innovation gives an opportunity to beat the pandemic. However, process innovation using the concept of co-opetition can help the pharmaceutical industry create a win–win for the market and the industry. This chapter covers co-opetition strategies that pharmaceutical sector can follow to help the customers and marketers win this game. The chapter looks at various co-operation-based strategies including co-operation by division of markets, co-operation by sharing of distribution, co-operation through patent waivers and co-operation with complementary goods manufacturers. After the co-operation, comes competition. The chapter considers duopoly as a means to help divide the market for all to co-exist.

The paper aims to present the development of conceptualization of coronavirus disease 2019 (COVID-19) based on associations with other articles on English edition of Wikipedia. The main goal of the paper is to study the social organization of knowledge about COVID-19 within the Wikipedia community of practice.

The methodological approach taken in this study was based on the application of Moscovici's theory of social representations to Wikipedia's knowledge organization system (KOS). Internal links in the Wikipedia article about COVID-19 were considered anchors in its social representations. Each link in the introductory part of the article was considered an indicator of the semantic relationship between COVID-19 and other concepts from Wikipedia's knowledge base. The subject of this study was links extracted from all revisions of the COVID-19 article between February and September 2020. Qualitative and quantitative analyses were performed on these conceptual structures using both synchronic and diachronic approaches.

It was found that the evolution of anchors in the Wikipedia article on COVID-19 was in line with the mechanism of symbolic coping related to infectious disease. It went through stages of divergence, convergence and normalization. It shows that this mechanism governs the social organization of knowledge related to COVID-19 on Wikipedia.

No studies have been devoted to the image of COVID-19 as presented by the evolution of links in Wikipedia and its implications for knowledge organization (KO).