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1.
International Journal of Marketing Communication and New Media ; 10(18):71-87, 2022.
Article in English | Web of Science | ID: covidwho-1980050

ABSTRACT

The main objective of this article is to analyze the narrative of an advertising video in the context of the COVID-19 pandemic through a utilitarian (informativeness) and hedonic (playfulness) perspective and evaluate its consequences on brand engagement. In this article, we propose a quantitative approach based on structural equation models. The questionnaire was disseminated in April 2020, and 235 valid responses were obtained and analyzed using the software AMOS v26. The results confirmed the adjustment of the data to the conceptual model established and that empathy with the content in advertising videos has a mediating effect on playfulness and informativeness effects in brand engagement in social networks during COVID-19 pandemic. Our study analyses the narrative of an advertising video in the context of the COVID-19 pandemic through a utilitarian (informativeness) and hedonic (playfulness) perspective and evaluates its consequences on brand engagement. Despite the existence of several studies on advertising, its relationship with brand engagement is still poorly studied in the literature, especially in the pandemic period. This work demonstrates the importance of empathy with video as important factor in digital brand engagement, even in times of crisis.

2.
International Journal of Marketing Communication and New Media ; - (11):62-91, 2022.
Article in English | Web of Science | ID: covidwho-1679230

ABSTRACT

The outbreak of COVID-19 has substantially altered trends and the research agenda in Consumer Behavior (CB). The main objectives of this article is analyze and classify the main contributions published the early research on CB on the COVID-19 pandemic , seeking to discover the perspective and the gaps and outline future avenues of research . With this article, we performed a systematic literature review based on articles published in Web of Science (WoS). We used a bibliometric approach based on Bibliographic Coupling of Documents complemented by a thematic analysis which allows us to provide a more holistic overview of the domain under study. Based on literature review six key thematic areas were identified in CB research of early stage of the pandemic: Environmental Factors, Social Media CB and Business Strategies , Personal and Psychological Characteristics , Purchase Process , and Panic buying . The conclusions present limitations inherent to systematic literature review articles, in particular the filters used to limit the search.

3.
Galicia Clinica ; 82(3):160-161, 2021.
Article in Spanish | Web of Science | ID: covidwho-1513361

ABSTRACT

New 2019-Coronavirus (SARS-CoV-2) pandemic is presenting daily diagnostic challenges to emergency departments (ED) doctors, especially as an increasing number of atypical clinical presentations have been reported, including acute sialadenitis (most of parotid). We present a case of a 46-year-old obese caucasian woman, with no relevant medical history, that presented in ED with complaints suggesting parotitis, with normal laboratory tests, at first with no virus isolation, confirmed by computed tomography. One week later, anosmia and dysgeusia were notice, and SARS-CoV-2 was tested and confirmed. Authors want to alert that SARS-CoV-2 should be excluded as parotitis etiology, highly important, especially in this pandemic phase, as a way of transmission control.

4.
biorxiv; 2020.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2020.09.09.290247

ABSTRACT

The rSWeeP package is an R implementation of the SWeeP model, designed to handle Big Data. rSweeP meets to the growing demand for efficient methods of heuristic representation in the field of Bioinformatics, on platforms accessible to the entire scientific community. We explored the implementation of rSWeeP using a dataset containing 31,386 viral proteomes, performing phylogenetic and principal component analysis. As a case study we analyze the viral strains closest to the SARS-CoV, responsible for the current pandemic of COVID-19, confirming that rSWeeP can accurately classify organisms taxonomically. rSWeeP package is freely available at https://bioconductor.org/packages/ release/bioc/html/rSWeeP.html.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
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