ABSTRACT
Knowledge of behavior and perception changes about the use of household disinfectants in the Philippines during the COVID-19 pandemic is largely unexplored. Through a survey, we took into consideration the locals' responses from Sorsogon, Philippines. Alcohol and oxidizing agents were found to be the most commonly used household disinfectant products in Sorsogon. Most of the respondents have shifted to the everyday use of disinfectant products during the pandemic. Increased disinfectant consumerism was positively associated with genders, employed respondents, and students but not among housewives and non-employed respondents. Most of the respondents agreed that various factors are needed to consider when choosing disinfectants. They were also knowledgeable about the possible effects of disinfectant wastes on the environment. How would these collective positive behavior changes during the new normal era warrant further attention. [ FROM AUTHOR] Copyright of Philippine Journal of Science is the property of Science & Technology Information Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Unlike the mainstream research conducted on the COVID-19 pandemic and its impacts on both large-scale tourism and hospitality firms, and also at the destination level, the current study focused on home-based accommodations in Iran which have experienced rapid development throughout the country. In-depth interviews with a number (n = 45) of such accommodation operators revealed that due to their perceived high vulnerability to the pandemic and self-protection, they adopted "untact hospitality", thereby decreasing their direct interaction with guests. Looking through the lens of Protection Motivation Theory, four main themes were explored: motivations to work in the hospitality industry; local accommodation operators' perception of threat; coping appraisal; and protection behavior intention. The results revealed that many local ventures were unable to survive, leading to the bankruptcy of such units throughout the country. With few exceptions, the public sector's responses to the pandemic, and the hospitality sector's measures, were generally unsuccessful in managing the health crisis. The current study contributes to the risk, crisis preparation and crisis management of hospitality organizations at the local level in the context of their health protection motivation behavior.
ABSTRACT
Considering how communities perceive the threat and risks of COVID-19, it is essential to examine how emotional regulation stimulated through intrinsic and extrinsic incentive mechanisms via social media can reinforce ‘Stay at home’ intentions. The conceptual framework was developed using the elements of the Extended Parallel Process Model (EPPM). A self-reported questionnaire was used to measure individuals’ intention to stay at home during the pandemic based on the perceived locus of causality as a part of self-determination theory. The empirical research was conducted on a sample of 306 USA respondents. The study results indicate that both components of the EPPM—efficacy and threat—positively affect ‘stay at home’ intentions. Moreover, a positive effect of efficacy on threats was found, as was a moderating effect of threats on the relationship between efficacy and the intention to stay at home. Meanwhile, the influence of social media exposure on threats and behavioral intentions was not significant. People are likely to stay at home as a preventive measure during COVID-19 if there is enough threats and efficacy. However, the abundance of information and opinions in social media can lead to a decreased perceived threat and might disrupt the acceptance of preventive actions.
ABSTRACT
This article examines the Google Trends data related to the second COVID-19 wave in India. We investigate the phenomenon of cyberchondria, which potentially causes individuals to avoid getting tested and quarantined directly upon experiencing symptoms for fear of losing their salaries or jobs. We utilize Google Trends data to predict future disease statistics, like the pandemic's impact on human activities and health-related issues in India. By means of a bootstrapped Pearson correlation, a time-lead correlation, and a quantile regression, we found a strong relationship between Google Trend searches and COVID-19 cases. Contextualizing the second COVID-19 wave in India through the lenses of cyberchondria and protection motivation theory, our article notes that, when people develop COVID-19 symptoms, they turn to Google for confirmation and treatment, rather than getting themselves checked early, only getting medically tested, and treated when their health deteriorates. At that stage, given the patients’critical conditions, hospitalization is the only option. This places an unsustainable burden on hospitals, resulting in capacity constraints and increased mortality rates. We suggest using Google Trends data to forecast COVID-19 waves and mobilize the health infrastructure to save lives and facilitate friction-free growth. IEEE