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This study explored the effects of the coronavirus pandemic on rural municipal police in Pennsylvania.

The authors surveyed rural police chiefs and sworn officers to inquire about their intra-department organizational capabilities, police-community relations, well-being practices, and how these strategies may have developed since March 2020.

The pandemic affected rural police officers and rural policing strategies in many ways. Moreover, existing challenges to limited rural police budgets were exacerbated suggesting a need for more flexible budgetary capacities, access to wellness resources were limited suggesting better access to these resources and preparation for responding to public health emergencies was limited suggesting more complete training is warranted.

This study draws attention to the unique experiences of rural municipal police across one state by capturing specific areas of concern throughout the coronavirus pandemic.

This study aims to explore how social support has reshaped the care of older adults living alone in northeast Thailand during the COVID-19 pandemic.

This study used a qualitative method using a narrative gerontological perspective with a descriptive design. Purposive sampling was conducted from 20 in-depth narrative interviews between November 2021 and February 2022 in Maha Sarakham province, northeast Thailand. Data transcriptions were performed using a narrative analytical process.

The in-depth narrative interviews indicated that older adults living alone during the coronavirus pandemic valued a comfortable life, a sense of place, favourable living arrangements, self-reliance, life goals and meaningful life. The gerontological analysis showed that social support for older adults living alone included a social safety net, networking, supporting needs, physical care and mental health responses to the COVID-19 pandemic.

To the best of the authors’ knowledge, this is the first qualitative narrative gerontological study to explore how social support reshaped the care of older adults living alone during the COVID-19 pandemic in northeast Thailand.

This service evaluation aims to understand the experiences of service users (SUs) who accessed an early intervention in psychosis (EIP) service during the Coronavirus pandemic using qualitative and quantitative methodologies and compare these to a previous pre-pandemic study conducted within the same service (Watkins et al., 2018).

This paper collated experiences of individuals accessing an EIP service to inform service development. Questionnaires and individual interviews were conducted to provide quantitative and qualitative data. Descriptive statistics and T-test confidence intervals were created from the results and compared to findings of Watkins et al. (2018). Interviews were transcribed verbatim and analysed using Braun and Clarke’s (2006) thematic analysis.

Data showed participants were largely satisfied with all areas of the service with “work or education”, “living skills”, and “addictions” scoring highest. Though participants reported no overall dissatisfaction, satisfaction levels dropped in “social activities” compared to the findings of Watkins et al. (2018), perhaps due to the national restrictions put in place to manage the spread of Coronavirus during this time. Interview analysis identified three themes of importance consistent with prior literature, highlighting the importance of relationships and validation during recovery.

This evaluation did not consider whether participants had accessed the service prior to the pandemic or only during, meaning that some participants could have a point of comparison with the service pre-pandemic, whereas others might not. Similarly, the participants were not the same as those of the Watkins et al.’s (2018) evaluation, meaning that direct comparisons of pre- and post-pandemic experiences were not possible. In addition, this evaluation collected data at only one time point early in the pandemic; therefore, it is unknown if client experiences of services differed as the pandemic and restrictions continued over time.

The Covid-19 pandemic has been an unprecedented challenge for health services, and the effects of this are becoming widely reported. This evaluation of clinical services offers a valuable perspective of service user experience of receiving mental health services during a global health crisis further offering a comparison to pre-pandemic services and the experiences of those who used them.

The aim of this paper is to investigate and to measure the efficiency of Islamic banks through a comparative study with their conventional counterparts during the coronavirus period for the case of MENA region.

Indeed, this study will use the parametric method for a panel of 92 banks, including 27 Islamic banks and 65 conventional banks, over a ten-year period (2012–2021) and from eight MENA countries, namely, Bahrain, Egypt, Jordan, Kuwait, Qatar, UAE, Yemen and Tunisia.

The findings show that Islamic banks are more profitable than conventional banks before and during Covid-19, this result can be explained by the effectiveness of Shariah principles, differences in cost control, management and resource allocation. In addition, this study found that conventional banks outperformed Islamic banks after Covid-19.

This is a recent empirical study that investigates a timely and important topic.

Domestic violence is an intimate relationship that causes physical, sexual or mental suffering. The ongoing coronavirus pandemic has had a ruinous effect globally, particularly in increasing the rate of domestic violence. Thus, this study aims to assess the prevalence of domestic violence against women during the COVID-19 pandemic and its associated factors.

A community-based cross-sectional study was conducted on Bench Sheko Zone residents from May to June 2021. Participants in the study were selected by multistage sampling technique. The collected data were coded, entered into EpiData 3.1 and analyzed by using SPSS version 20. Bi-variable and multiple logistic regression analysis models were fitted. Odds ratio was used at a 95% confidence level, and P-value < 0.05 was used to declare statistical significance.

A total of 1,512 eligible women participated, with a 98.3% response rate. The proportion of domestic violence against women was 42.5%. The prevalence of psychological violence was 30.4%, followed by physical violence at 20.2% and sexual violence accounted for 9.6%. Variables, such as rural residency, women with no formal education, partner who had no formal education, women with monthly income of less than 25,00 Ethiopian birr and partner who was current substance user, were found to be associated with domestic violence against women.

Domestic violence against women is still an important public health problem in Ethiopia. Special attention should be paid to identified predictors to reduce domestic violence beyond designing prevention and control strategies along with coronavirus pandemic intervention plan.

The findings of this study show domestic violence against women is still an important public health problem in Ethiopia. Special attention should be paid to identified predictors to reduce domestic violence beyond designing prevention and control strategies, along with the coronavirus pandemic intervention plan.

The COVID-19 pandemic has affected around 216 countries and territories worldwide and more than 2000 cities in India, alone. The smart cities mission (SCM) in India started in 2015 and 100 smart cities were selected to be initiated with a total project cost of INR 2031.72 billion. Smart city strategies play an important role in implementing the measures adopted by the government such as the issuance of social distancing regulations and other COVID-19 mitigation strategies. However, there is no research reported on the role of smart cities strategies in managing the COVID-19 outbreak in developing countries.

This paper aims to address the research gap in smart cities, technology and healthcare management through a review of the literature and primary data collected using semi-structured interviews.

Each city is unique and has different challenges, the study revealed six key findings on how smart cities in India managed the COVID-19 outbreak. They used: Integrated Command and Control Centres, Artificial Intelligence and Innovative Application-based Solutions, Smart Waste Management Solutions, Smart Healthcare Management, Smart Data Management and Smart Surveillance.

This paper contributes to informing policymakers of key lessons learnt from the management of COVID-19 in developing countries like India from a smart cities’ perspective. This paper draws on the six Cs for the implications directed to leaders and decision-makers to rethink and act on COVID-19. The six Cs are: Crisis management leadership, Credible communication, Collaboration, Creative governance, Capturing knowledge and Capacity building.

In an effort to provide insights that nurture the future of brand relationships, this paper aims to examine the impact of brand communications on consumption behavior during critical events that significantly impact the marketplace. Specifically, this research focuses on external crises (i.e. global health crises, natural disasters and regional conflicts) beyond the control of the corporations that govern brands. It does so by exploring the most effective brand communication strategies at the onset of a crisis when brands may shift promotional content to more sensitive, crisis-related content as a means to connect with consumers. Furthermore, this paper seeks to understand which consumer segment will benefit most from brands’ crisis-related content.

This research introduces two empirical studies (combined sample = 490), using student and online participant samples.

Results from this work demonstrate that at the onset of a crisis, consumers’ attitudes, brand engagement, and self-brand connections significantly increase after visualizing crisis-related versus noncrisis-related brand messages. Results also reveal that consumers who feel less socially connected will react more favorably to brand communications that contain crisis-related content (i.e. informative or emotional content related to the crisis) than non-crisis-related content (i.e. marketing content aimed to promote and advertise the brand, product and/or services).

While the effect of crisis communications on consumption behavior and the moderating effect of social connections is explored, the underlying mechanism of these effects is not investigated in this study. Therefore, future research might consider evaluating the mechanisms that drive these effects.

This work builds on past research to help establish that during early critical times, marketing managers should include crisis-related content in their communications, which will increase consumers’ positive reactions toward the brand.

Another implication of this work is that it underscores the significance of crisis-related brand communications as an inclusive practice because these are particularly well-received among vulnerable consumer segments, such as those who feel less socially connected during critical times.

Proactive communication strategies allow brands to better manage external critical challenges. As brands navigate a postpandemic marketplace, this research highlights the adaptations that managers can make to their communication strategies at peak uncertain times, such as the earlier stages of an external crisis.

This study sought to analyze the correlation between artificial intelligence (AI) and libraries and examine whether there were any shifts in research trends related to these two topics during the coronavirus pandemic.

The study gathered secondary data from the Scopus website using the keywords “AI,” “library” and “repository,” from 1993 to 2022. Data were re-analyzed using the bibliometric software VOSviewer to examine the trending country's keyword relations and appearance and Biblioshiny to study the publication metadata.

Index keywords, such as “human,” “deep learning,” “machine learning,” “surveys” and “open-source software,” became popular during 2020, being closely related to digital libraries. Additionally, the annual scientific production of papers increased significantly in 2021. Words related to data mining also had the most significant growth from 2019 to 2022 because of the importance of data mining for library services during the pandemic.

This study provides insight for librarians for the implementation of AI to support repositories during the pandemic. Librarians can learn how to maximize the AI-based repository services in academic libraries during the pandemic. Furthermore, academic libraries can create policies for repository services using AI.

This study can lead researchers, academicians and practitioners in conducting research on AI in library repositories.

As research on AI and digital repositories remains limited, the study identifies themes and highlights the knowledge gap existing in the field.

As the novel coronavirus 2019 (COVID-19) impacts the world, software practitioners are collaboratively working remotely from home. The pandemic has disrupted software practitioners’ productivity forcing changes to agile methodology adopted by software practitioners in software organizations. Therefore, this study aims to provide implication on the issues and recommendations for improving software practitioners’ productivity and also examine the impact of the COVID-19 pandemic on agile software development.

This paper adopts a narrative literature review to provide early assessment based on secondary data from the literature and available document reports from studies published from 2019 to 2022 to explore software practitioners’ productivity and agile software development during the working from home directive amidst the COVID-19 pandemic. A total of 60 sources which met the inclusion criteria were used to provide preliminary evidence grounded on secondary data from the literature. Descriptive analysis was used to provide qualitative findings from the literature.

Findings from this study present the significance of working from home directive on agile software development and software practitioners’ productivity. More importantly, findings from the secondary data shed light on software practitioners’ productivity adopting agile software development amidst the COVID-19 pandemic. Additionally, the findings present virtual collaborative platforms used by software practitioners, technical and social barriers of agile software development during the pandemic and recommendations for remote agile software development.

This study explores the significance of working from home directive on software practitioners’ productivity during COVID-19 pandemic and further investigates how are software practitioners’ productivity adopting agile software development practices amidst the COVID-19 pandemic. Besides, this study discusses the challenges software practitioners currently face and offers some strategies to bridge the gaps in agile software development to help software practitioners, system developers, software managers and software organizations adapt to the changes caused by the pandemic.

This paper analyzes the connectedness with network among the major cryptocurrencies, the G7 stock indexes and the gold price over the coronavirus disease 2019 (COVID-19) pandemic period, in 2020.

This study used a multivariate approach proposed by Diebold and Yilmaz (2009, 2012 and 2014).

For a stock index portfolio, the results of static connectedness showed a higher independence between the stock markets during the COVID-19 crisis. It is worth noting that in general, cryptocurrencies are diversifiers for a stock index portfolio, which enable to reduce volatility especially in the crisis period. Dynamic connectedness results do not significantly differ from those of the static connectedness, the authors just mention that the Bitcoin Gold becomes a net receiver. The scope of connectedness was maintained after the shock for most of the cryptocurrencies, except for the Dash and the Bitcoin Gold, which joined a previous level. In fact, the Bitcoin has always been the biggest net transmitter of volatility connectedness or spillovers during the crisis period. Maker is the biggest net-receiver of volatility from the global system. As for gold, the authors notice that it has remained a net receiver with a significant increase in the network reception during the crisis period, which confirms its safe haven.

Overall, the authors conclude that connectedness is shown to be conditional on the extent of economic and financial uncertainties marked by the propagation of the coronavirus while the Bitcoin Gold and Litecoin are the least receivers, leading to the conclusion that they can be diversifiers.

本文分析於2020年2019冠狀病毒病肆虐期間、主要的加密貨幣、七國集團 (G7) 股價指數與黃金價格三者之間在網絡上的連通性。

分析使用迪博爾德和耶爾馬茲 (Diebold and Yilmaz (2009, 2012, 2014)) 提出的多變量分析法。

就一個股票指數投資組合而言,靜態連結的結果顯示、在2019冠狀病毒病肆虐期間,股票市場之間有更高的獨立性。值得我們注意的是:一般來說,加密貨幣在股票指數投資組合起著多元化投資作用,這可減低不穩定性,尤其是在危機時期。動態連結的結果與靜態連結的結果沒有顯著的分別。我們剛提到、比特幣黃金已成為純接收者。除了處於先前水平的達世幣和比特幣黃金外,就大部分的加密貨幣而言,連通的範圍在衝擊後都得以維持。事實上,在這危機時期,比特幣一直是波動性連結或溢出的最大淨傳播者。掛單者 (Maker) 是從全球系統中出現的最大波動淨接收者。至於黃金,我們注意到在危機時期、它仍然是在網絡接收方面擁有顯著增長的淨接收者,這確認其為安全的避難所。

總的來說,我們的結論是:連通性被確認為取決於標誌著受廣泛傳播的冠狀病毒影響下的經濟和金融欠缺穩定的程度,而比特幣黃金和萊特幣則是最小的接收者,這帶出一個結論、就是:比特幣黃金和萊特幣、可以成為多元化投資項目。