ABSTRACT
For several years Food Delivery Business has been growing strongly both in Italy and internationally, but during the 2020 global COVID-19 epidemic, there was an even stronger increase because the benefits of online food delivery were evident, as it facilitated consumer access to prepared meals and allowed restaurant workers and suppliers to continue to operate. This research work focuses on a very particular type of food delivery, namely the one that deals only with deliveries of healthy food and superfoods. Large companies and Healthy Food Delivery (HFD) startups have different operational models and ways for service provision than traditional Restaurant Delivery systems. These are complex and non-linear mechanisms and for this reason they have proved to be interesting to analyze. The authors of this paper use a qualitative approach through multiple case studies to obtain a detailed description. A framework has been established to observe the different entrepreneurial initiatives from different perspectives.
ABSTRACT
For several years Food Delivery Business has been growing strongly both in Italy and internationally, but during the 2020 global COVID-19 epidemic, there was an even stronger increase because the benefits of online food delivery were evident, as it facilitated consumer access to prepared meals and allowed restaurant workers and suppliers to continue to operate. This research work focuses on a very particular type of food delivery, namely the one that deals only with deliveries of healthy food and superfoods. Large companies and Healthy Food Delivery (HFD) startups have different operational models and ways for service provision than traditional Restaurant Delivery systems. These are complex and non-linear mechanisms and for this reason they have proved to be interesting to analyze. The authors of this paper use a qualitative approach through multiple case studies to obtain a detailed description. A framework has been established to observe the different entrepreneurial initiatives from different perspectives. © 2022 IEEE.
ABSTRACT
Purpose: In this article, the authors analyse the impact of the 2020 lockdown and the subsequent measures to contain the spread of COVID-19 in Italy in the hospitality industry by looking at the social demands brought forward by the restaurant sector. Design/methodology/approach: To analyse social demands, the authors choose Twitter as an observation point using two hashtags as keywords to scratch the data: #iononriapro and #ioapro, which correspond to two different instances conveyed by the same subject: the restaurant sector. The instances linked to the hashtags produced different levels of engagement and penetration within the social structure and digital platform. To analyse the first block of data linked to the first hashtag-flag #iononriapro, the authors used content analysis. To analyse the second and third block of data linked to the hashtag-flag #ioapro, the authors used an automatic procedure, emotional text mining. Findings: The analysis procedures allow us to reconstruct the positioning of the topics of closures and reopenings due to lockdown in this sector and to identify two explanatory dimensions: structural and affective, which explain the tension that has emerged between the State and the restaurant sector around COVID-related closures. Originality/value: The study's findings not only contribute to the current understandings of the birth, transformation and penetration of social issues by the restaurant sector over the specific period linked to the COVID-19 pandemic and the measures imposed for its containment but are also valuable to analyse the dynamics through which Twitter hashtags and the social issues they represent find strength or lose interest in the public. © 2022, Emerald Publishing Limited.
ABSTRACT
Hashtag research has established itself as a relevant research field, with various studies having analysed this polysemic collector in crisis and media events. Hashtags are used in social media, most specifically on Twitter. Further, between 2020 and 2021, hashtag studies linked to the COVID-19 pandemic have emerged. Accordingly, this study aimed to analyse the content of tweets during the first phase of the COVID-19 pandemic (March 4-11, 2020) that included the hashtag #Covid-19 in three different languages: Italian, Spanish, and French. For these analyses, we used emotional text mining. The goal of this study was to reconstruct the representation of the pandemic, of containment measures, and of Europe in tweets. We discussed the prevailing attitude towards Europe in times of crisis.
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COVID-19 is the deadly respiratory disease of the century caused by new type unknown origin Coronavirus. The recent effort of the word researchers is toward finding the origin of the virus. The current study investigated the extent of molecular similarity and divergence between SARS-CoV2 and other related Coronavirus. An attempt has been made to investigate the epidemiological study of this new contagious virus using molecular biology techniques. The phylogenetic trees for all human coronaviruses with the novel Coronavirus have been built using a several complete amino acid sequences of the four known structural proteins, S (spike), E (envelope), M (membrane), and N (nucleocapsid). The result of the study revealed that the SARS-CoV2 is related to human SARS-CoV isolated from different countries very cloely, especially those strains recovered from China in recent times, 2020. The evolutionary changes observed in the inserted 23 amino acids in the RNA binding domain (RBD) of the coronvirus spike glycoprotein which cannot be detected in any other human coronavirus. Moreover, the 2019-nCoV is not closely related to other alpha, beta and gamma human Coronavirus, including MERS-CoV. The current study concluded that 2019-nCoV is more likely believed to originated from SARS-CoV. The probability is more vital to be originated from the strain isolated in China in 2020, which is coincident with the spraed of COVID-19 in the same country. The phyloepidemiologic analyses suggested that the coronaviruses are circulating in human hosts evolving gradually by times in response to the different environment stimuli facing the virus inside the host in different geographical areas. Furthermore, the analysis showed the flow of transmission, and evolutionary changes of SARS-CoV2 which may be directed from the transmission of SARS-CoV from human to Bat and Pangolin then jumped to human again in the crowded market Wuhan city in China.
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The article focuses on Italians' reactions to the pandemic on Twitter. During the first phase of the 2020 lockdown (from the beginning of March 2020 - to the beginning of May 2020), a real-time dataset was built, linking data scratching to three events related to the introduction of the Prime Minister's decrees and his press conferences. The chosen observation point is Twitter, platform that allows us to monitor the emergence of discussions on public issues, extremely synchronized with events and news - which is, moreover, a feature of use of this platform. The coronavirus hashtag was chosen as a mechanism to track the development of Italian reactions, following the evolution of its sense and sensemaking and considering it as a polysemic collector. The aim is to identify within the tweets the actors, the topics, and the tone of the debate in an open public space. Furthermore, the analysis is carried out in search of the Italians' perception of the lockdown and whether they are in favor of it because of the defense of public health or they see it as a restriction of their individual freedom. The analysis, which used the socio-constructivist approach of Emotional Text Mining, reveals two explanatory-dimensions in the governance of the crisis: lockdown and breakdown and allows us to understand the reasons for Twitter's instinct-reactions.
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Introduction: Variable rate intravenous insulin infusion(VRIII) is a cornerstone treatment for controlling elevatedblood glucose (BG) in inpatients who are missing meals,and/or have a critical illness. VRIII can cause serious harmto patients if used incorrectly. Traditional approaches toimproving safety have focused on identifying errors, thenfinding solutions to prevent future recurrence. Such approaches fail to fully take into account the complex adaptive nature of healthcare systems, which cannot be controlledsolely by standards or procedures. The Resilient Health Care(RHC) approach proposes that understanding the variabilityin healthcare practitioners' everyday work e.g. a physical andcognitive activity directed toward achieving a specific goal, iskey to enhancing patient safety (1). There are a considerablenumber of studies on using RHC to enhance safety, however,no studies to date have researched resilience in the use ofVRIII.Aim: This study sought to comprehensively understand,within a RHC framework, how VRIIIs are used in the clinicalenvironment.Methods: A qualitative observational study was conducted in a Vascular Surgery Unit. A purposive sample of twoinpatients and all healthcare practitioners caring for VRIIIaspects for these patients were recruited. The researcher video-recorded healthcare practitioners while prescribing,administering and monitoring VRIII. The video data werethen transcribed and inductively coded to construct a deepunderstanding of the use of VRIII. A hierarchical task analysis (HTA) which is a core human factors approach (2) wasused to represent the actual task for the use of VRIII.Results: Twenty-two hours of video recordings of 10healthcare practitioners were used to develop the final HTAwith a top-level goal of controlling elevated BG using VRIII.The HTA clearly illustrated the complexity of using VRIIIsby highlighting more than 100 practical activities to achievethe goal. The observed challenges were mainly related tolack of knowledge e.g. the co-prescription of appropriateconcurrent IV fluids, and system and technology problemse.g. the need for frequent BG monitoring. The analysis ofthe video data identified various strategies that healthcarepractitioners used to respond to variability in work includingknowledge, standardising practice e.g. the using of ready-toadminister insulin infusions, and context-dependent adaptations including asking available colleagues to countersign administration and assigning the monitoring task to other staffwhen the nurses were busy. Most of the observed adaptationshad positive outcomes in terms of patient care delivery.Conclusion: This study was the first to have exploredhow 'work is done' in reference to the use of VRIII usingHTA. The study was limited by time, the Covid-19 pandemicand number of participants. However, the developed HTAprovided detailed tasks and, by highlighting when and howadaptations were used, systematically presented the processas it was actually done. Future work will focus on using thedata from this study to model RHC in the use of VRIII in away that allows the study site to better enhance patient safety.
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Introduction: COVID-19 outbreak represented an unprecedented event that led to a redefinition of health care systems worldwide. The impact of the emergency required a deviation of the care toward the assistance to COVID-19 patients, with reduction of resources for elective activities, including surgery. We aim to report the decrease of urological surgical activity during the first weeks from the beginning of the pandemic, aiming to highlight the prioritization we applied to select patients for surgery. Materials and methods: Thirty-three urological units with physicians affiliated to the AGILE group were involved in a survey. Urologists were asked to report the amount of surgical elective procedures week- by-week, from the beginning of the emergency to the following month. The type of surgery (oncologic, for urolithiasis, for benign prostate obstruction, other) was assessed as well. Results: The 33 hospitals involved in the study account, globally, for 22,945 beds and are distributed in 13/20 Italian regions. Before the outbreak, the involved urology units performed an overall amount of 1,213 procedures per week, half of which were oncological. By the 20 of March, the amount of surgery declined by 78%. Lombardy, the first region with positive-cases, experienced a 94% reduction. The decrease in oncological and non- oncological surgical activity was 35,9% and 89%, respectively. Among non-oncological procedures, stone surgery declined by 35,9% as well, whereas BPH and minor urological procedures completely dropped. Reassessing for surgical activity on 20, April, a slight trend toward surgical restoration (+11%) started to appear. Conclusions: Italy, the country with the highest fatality rate from COVID-19, had experienced a sudden decline in surgical activity;by the end of April, a current trend toward restoration of surgery started to appear. Criteria for prioritization were consistent with an urgent/ emergent principle, with trauma, tumours and septic conditions being the ones prioritized. The Italian experience can be helpful for future surgical pre-planning in other countries or pandemic settings. Smart Communications (SC1–SC28) Andrology