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This paper aims to explore the development trend of OA articles and their advantages and disadvantages in the process of fighting the pandemic, and conduct a multi-level and multi-angle analysis of the relationship between publishing costs and the influence of OA articles.

This study first compares the total number of articles in Web of Science with the number of OA articles, and the total number of COVID-19 related articles with the total number of OA articles. Subsequently, using the methods of institutional cooperation co-occurrence network, keyword co-occurrence and multidimensional scale analysis, and using the literature on the topic of COVID-19 in CNKI (Chinese National Knowledge Infrastructure) as the data set, we generate visualized maps of research results distribution and keyword co-occurrence network with the help of the Statistical Analysis Toolkit for Infometrics (SATI)

The research results show that the citation frequency and use frequency of OA articles related to COVID-19 are significantly higher than that of non-OA articles. OA articles dominate in the anti-pandemic process, with a series of advantages such as short review cycle, timeliness, high social benefit, high participation and fast dissemination playing an important role. Under the model of author's non-payment for OA article, the degree of institutional cooperation and author cooperation is enhanced, which improves the fluidity of knowledge, strengthens close links between keywords and enhances significant academic influence; OA articles will continue to promote research in the field of COVID-19, but the lack of quality of some OA articles may hinder their development. Then OA articles will further focus on clinical medicine, and related results will continue to promote the development and communication of OA articles in this field.

Corresponding measures are also proposed for the existing problems of OA articles, to provide a reference for the publication and dissemination of OA articles in public health emergencies in the future.

The purpose of this paper is to understand the challenges related to fighting gender-based violence (GBV) victims during the lockdown in Uganda and suggest prevention and response to GBV and domestic violence victims and stakeholders amidst the deadly novel coronavirus Covid-19 pandemic.

Content analysis was used to collect data to answer the objective of the study. Relevant documents that related to prevention and response to GBV amidst the deadly novel coronavirus Covid-19 pandemic were reviewed i.e. both print ((inter)-national newspapers i.e. monitor and newspaper), electronic (television and radio) and social media (Facebook and Twitter) and presidential addresses on Covid-19.

The usual mechanisms that victims go through to report are curtailed and the lockdown and quarantine presented the perpetrators the perfect environment to continue disrespecting victims, as everyone was required to respect the stay at home orders, hence it gave fertile ground for isolation and control of the victims.

Proposing prevention and response to GBV during the coronavirus novel Covid-19 pandemic lockdown in Uganda.

The sudden onset of COVID-19 has brought about a watershed moment in the current research across all disciplines. As it has impacted almost all aspects of human existence, academicians are aggressively trying to understand the phenomenon from multidisciplinary perspectives. In this regard, the present study attempts to provide an in-depth understanding of academia's response pattern in the field of social sciences using a grounded theory literature review and bibliometric analysis.

The present study analyzed 395 research articles on the pandemic phenomenon, yielding five main themes and 11 sub-themes.

The emergent research themes are global impact on public health, the influence of COVID-19 on workplace functioning, global governance in COVID-19, research ethics in scholarly works and the influence of COVID-19 on demography.

Drawing from these themes, the authors provide propositions, policy implications and future research directions.

The purpose of this study is to analyze the topics of COVID-19 news articles for better obtaining the relationship among and the evolution of news topics, helping to manage the infodemic from a quantified perspective.

To analyze COVID-19 news articles explicitly, this paper proposes a prism architecture. Based on epidemic-related news on China Daily and CNN, this paper identifies the topics of the two news agencies, elucidates the relationship between and amongst these topics, tracks topic changes as the epidemic progresses and presents the results visually and compellingly.

The analysis results show that CNN has a more concentrated distribution of topics than China Daily, with the former focusing on government-related information, and the latter on medical. Besides, the pandemic has had a big impact on CNN and China Daily's reporting preference. The evolution analysis of news topics indicates that the dynamic changes of topics have a strong relationship with the pandemic process.

This paper offers novel perspectives to review the topics of COVID-19 news articles and provide new understandings of news articles during the initial outbreak. The analysis results expand the scope of infodemic-related studies.

This study contributes to the extant literature on ICT firms by investigating the interrelationship between the health and safety (H&S) measures, market performance, and the coronavirus (COVID-19).

To conduct the confirmatory analysis by testing our hypotheses, data have been collected from Bloomberg of all ICT firms from five countries. The authors gathered from 2010 until 2020 as the research sample to examine the pandemic impact on market performance and H&S measures.

First, our results reveal a significant and positive relationship between market performance (proxied by Tobin’s Q) and the H&S measures of information technology (IT) firms. Second, the authors find that the IT firms have significantly increased the H&S measures during the COVID-19 period and were dynamic in linking employees’ adaptive capabilities to positive attributes. This has contributed to business success, resiliency, and sustainability.

The authors used a quantitative method of testing our hypotheses. Future studies may consider checking the robustness using qualitative methods such as structural or semi-structural interviews.

The study offers valuable insights to academics, practitioners, stakeholders, policymakers, and international entities by fostering knowledge about responses to crises, integrating digital solutions, and disseminating digital information. The study also has implications on the health, social, business, and economic levels. This study is a call for international and local humanitarian organisations such as United Nations High Commission, Care international and many more to understand the gravity of safety of the workers in the workplace during the pandemic period and introduce a firm-level policy accordingly.

This paper is novel considering that the paper is unique in evaluating ICT firms’ market performance and H&S from a global perspective, considering the context of this historical pandemic.

This paper aims to facilitate researchers, practitioners and policymakers in understanding and managing the impact of the black swan event – COVID-19 on work from home in the social science subject area through bibliometric analysis. For this purpose, the authors analyzed publications from the Scopus database.

In this paper, the authors conducted bibliometric analysis based on two major techniques: performance analysis and science mapping. The authors applied VOSviewer and Biblioshiny to address the research questions of present study. The study explored the hot trend topics and summarized them with discussions and implications.

Based on the analysis of 500 publications, the authors present an overview of performance and science mapping from the perspective of different aspects such as publication output and authors. Also, authors visualized the text mining by co-word analysis forming nine clusters as well as mapping trend topics. The existing publications were divided into ten clusters according to different keyword analyses: Leadership, Mental health, Technology, Crisis Management, Gender, Challenges, well-being and Work-life balance.

Sample from the Scopus database is not exhaustive, and the dataset may be skewed due to the adoption of the selection criteria. The authors’ concentration was on academic publications in English that excludes potentially intriguing and pioneering studies done in other languages. The study area was limited to social science only.

The paramount lesson is that the COVID-19 quandary is multifaceted, necessitating not simply adaptations to current strategies but also an understanding and analysis of advancements in the economy, commerce and society. According to the analysis presented above, to overcome the COVID-19 “black swan event”, managers must think ahead. The analysis gives leaders and decision-makers a range of useful information on work from home (WFH) difficulties in COVID-19, as well as initiatives and revisions that must be implemented at the economic, social and scientific aspects when dealing with such uncertainties. The findings also aid managers in forecasting the need for sophisticated technology, organizational agility and resilience to attain the desired direction of progress.

With a focus on addressing WFH during COVID-19 from social science perspective and to synthesize its future research directions systematically, the authors performed Bibliometric analysis both with VOSviewer and Biblioshiny, in order to enhance the overall analysis for higher accuracy and more reliable results that is unique value addition and contribution to the existing literature.

This paper aims to proffer a glimpse of diverse e-resources and materials accumulated by National Digital Library of India (NDLI) for facilitating open access resources (OARs) during the difficult times of global pandemic. Out of all the resources, an attempt has been made to place a focus on COVID-19 research repository maintained at NDLI platform to facilitate related research activities for envisaging experiments by scientists and researchers.

The study is based on COVID-19 research repository assimilated by NDLI, and a detailed investigative research has been made about various resources and materials available for research community. The official website of NDLI (direct link of NDLI website: https://ndl.iitkgp.ac.in/) has been referred for collection of requisite data for study. The collected information has been presented through eight tables, two charts and two figures, which have further been analyzed and interpreted to attain the objectives.

The brief examples in this paper indicates that a wealth of OARs related to COVID-19 such as scholarly communications, data sets, documents and videos and journals and conferences, etc. are available for access and research by scientists and researchers to expand their research during and also beyond this global crisis. Social distancing has forced academics to displace to online platform from physical deliverables. Institutions are forced to adopt new technologies for delivering education in online mode such as online teaching, online access of educational resources, online conferences, webinars and a host of such related activities. NDLI has been instrumental in this journey by accumulating providing research materials through its platform.

In addition to the blended learning process, this paper provides a structured overview about COVID-19 research repository facilitated by NDLI to provide access about related research activities by scientists and researchers. This investigative research on NDLI platform has been done originally by the author with a sacrosanct aim to help serious academia and has a high referral value for the scientific, technocratic and realistic researchers with deep thrust on availability of all materials under one roof, i.e. NDLI.

This study presented the experience of improving the nucleic acid sample collection and transportation service in response to the epidemic. The main purpose is that through intelligent path planning, combined with the time scheduling of sample points, the process of obtaining results to determine the state of COVID-19 patients could be speeding up.

The research optimized the process, including finding an optimal path to traverse all sample points in the hospital area via intelligent path planning method and standardizing the operation through the time sequence scheduling of each round of support staff to collect and send samples in the hospital area, so as to ensure the shortest time in each round. And the study examines these real-time experiments through retrospective examination.

The real-time experiments' data showed that the proposed path planning and scheduling model could provide a reliable reference for improving the efficiency of hospital logistics. Testing is a very important part of diagnosis and prompt results are essential. It shows the possibility of applying the shortest-path algorithms to optimize sample collection processes in the hospital and presents the case study that gives the expected outcomes of such a process.

The value of the study lies in the abstraction of a very practical and urgent problem into a TSP. Combining the ant colony algorithm with the genetic algorithm (ACAGA), the performance of path planning is improved. Under the intervention and guidance, the efficiency of hospital regional logistics planning was greatly improved, which may be of greater benefit to critical patients who must go through fever clinic during the epidemic. By detailing how to more rapidly obtain results through engineering method, the paper contributes ideas and plans for practitioners to use. The experience and lessons learned from Tongji Hospital are expected to provide guidance for supporting service measures in national public health infrastructure management and valuable reference for the development of hospitals in other countries or regions.

The COVID-19 has had a diversified and dynamic impact on the food and agricultural sector, particularly in the agri-food value chain. Although a good number of articles were published in various countries and continents covering various aspects of the impact of COVID-19 on the agri-food value chain, no significant studies were found related to the mapping of published literature to know about the scenario and current trend research. The study aims to perform a systematic review and bibliographic mapping in the agri-food value chain to provide insights into the same.

Articles included in the Scopus database from January 1, 2020 to July 10, 2021 are considered. After initial screening and inclusion criteria, 41 articles have been selected to perform a systematic review which is published in the agri-food value chain. In addition to this, by considering the growth of the online food market, systematic mapping with the application of bibliometric analysis is performed to know the trend of the publications. Co-occurrence analysis with VOS viewer software version 1.6.16 is used for making network maps and supports the visualization of these maps.

The synthesis of the findings reveals that four broad themes recur in the articles: namely, food security and crisis during the pandemic, food price fluctuations, the impact of COVID-19 and disruption in the agri-food value chain and resilience strategies to strengthen the value chain. Alongside, the synthesis of the findings, this study describes the geographical coverage, methodologies used, sector/industry-specific context of the articles and scope of future research. In co-occurrence analysis with keywords, four clusters are identified related to the online food market and are categorized as “COVID-19 and Online food delivery services,” “Consumer satisfaction to online food delivery services,” “Food delivery system” and “Demographic impact on online food market.”

The study considers only the article from the Scopus database and article published between January 1, 2020 and July 10, 2021. Future studies are encouraged related to impact analysis studies of resilient strategies suggested by various authors by considering multiple databases.

This study will be beneficial for scholars and policymakers to know what is trending in the agri-food value chain and policymakers can implement various resilience strategies as discussed to mitigate the impact. The future research scope highlighted in this paper will encourage scholars and academicians to explore this area and will provide in-depth understanding.