ABSTRACT
Affective computing is an emerging research area focused on the development of devices and systems that have the ability to recognize, interpret, process and simulate human emotions in order to improve a user's experience when interacting with a software system. One of the possible fields of application of the techniques provided by affective computing is in the design and generation of multimedia content in the context of formal and non-formal education, which can generate greater interest in students through the transmission of different emotions throughout this content. Based on the above, in this article, an analysis of emotions is carried out on a set of content provided by the Ministry of Health of Colombia as a measure for the prevention and mitigation of contagion by COVID-19. For the development of the study, a tool has been built in the Java language, which allows the segmentation of the audio fragments of the multimedia content, as well as the extraction of the acoustic parameters of arousal and valence, and the application of clustering models on the set of properties extracted from the segments. Copyright © 2022 Praise Worthy Prize S.r.l.-All rights reserved. © 2022 Praise Worthy Prize S.r.l.-All rights reserved.
ABSTRACT
Background: The nursing homes represented high-risk settings for SARS-CoV-2 infection, both for residents and for the employees. The COVID-19 impact on long-term care facilities (LTCFs) is evaluated, measured through the employees sick leave (SL). The pandemic evolution in the general population aged between 16 and 65 years was analyzed together with the sick leave to assess the latter as a complementary indicator of the SARS-CoV-2 surveillance.
ABSTRACT
On March 14, 2020, a state of alarm was decreed in Spain, including restrictive mobility and economic activity measures. These restrictions caused changes in life habits, entertainment, and media consumption. The constant need for information promoted television as a trusted channel to bring current affairs closer to citizens. The interruption of programming with news flashes marked the program schedule and triggered TV consumption, especially during strict lockdown. There was a drop in television advertising investment of -18.4 % compared to 2019 and -50 % in April and May. Two reasons can explain the increase in TV consumption: the need for information on the epidemiological context and the increased time that citizens spent in their residence due to mobility restrictions. The first point can be contrasted with the significant increase in the audience of newscasts and the second with the correlation between citizens’ consumption and mobility. This analysis makes it possible to predict TV consumption based on mobility and design better media planning strategies tailored to the possible scenarios caused by COVID-19. © 2022 Universidad de La Sabana. All rights reserved.
ABSTRACT
OBJECTIVE: The nursing homes represented high-risk settings for SARS-CoV-2 infection, both for residents and for the employees. The COVID-19 impact on long-term care facilities (LTCFs) is evaluated, measured through the employees sick leave (SL). The pandemic evolution in the general population aged between 16 and 65 years was analyzed together with the sick leave to assess the latter as a complementary indicator of the SARS-CoV-2 surveillance. METHODS: A descriptive study of all sick leave processes due to COVID-19 recorded between February 15th 2020 and May 1st 2021 in nursing homes was carried out. The close contact sick leave/infection sick leave ratios, the 100,000 affiliated/occupied sick leave rates were computed and compared with the COVID-19 cases cumulative incidence notified to the National Network of epidemiological Surveillance (RENAVE). RESULTS: 261.892 SL processes were recorded. The close contact sick leave/infection sick leave median ratio in nursing homes was 1.8 (Interquartile range, ICR: 1.1-3.3), with values lower than 1 at certain periods. The infection sick leaves were higher in number and ratio and prior to the cases recorded in RENAVE. The sick leave ratio ranged between 81.679/100.000 occupied in nursing homes with medical care and 4.895/100.000 in other residential facilities. CONCLUSIONS: The results confirmed the dramatic impact of COVID-19 in nursing homes and the inequalities characterizing this impact. They also confirmed the potential use of sick leave as an alternative source for epidemiological and public health surveillance, especially now, when the transition of the COVID-19 surveillance to a system not including universal individual surveillance is being discussed.
ABSTRACT
In the world, every year almost three million people die from accidents or work-related illnesses, more than five hundred suffer from occupational diseases or injuries. In 2019, job stress caused 30% of sick leave in Spain, with a high cost and a reduction of productivity. The COVID-19 presents new challenges, almost four million unemployed, another four with an ERTE and an uncertain and slow recovery that causes instability. Also new risks related to work and stress, such as biological contamination, control measures, uncertainty and a high mental burden for workers. Different organizations defend the importance of occupational health and well-being in all aspects, physical, mental and social. Given this situation, it is essential to detect psychosocial risk factors that affect health in the workplace to create effective prevention plans adapted to changing situations. Some authors highlight the difficulty of this evaluation due to insufficient methodologies at the conceptual and technical level or lack of standardization. The objective of this research is to identify different tools, dimensions, reliability, validity, psychometric analysis and use, which serve as references for research in occupational risk prevention. A descriptive analysis of bibliographic review was carried out in searching engines and pages of specialized organizations. Some highly reliable measurement instruments are offered for the detection of psychosocial factors in various contexts. It is recommended to complement these tools with others that introduce other variables such as uncertainty, anxiety or mental state.