The importance of the human factor during catastrophic events is increasingly being
highlighted in the field of disaster management as human behaviors critically affect the …

In machine learning, a fundamental challenge is the analysis of data to identify feelings
using algorithms that allow us to determine the positive or negative emotions that people …

During the pandemic, several countries deployed contact-tracing apps in order to contain or
reduce the community spread of COVID-19. However, the success rate in terms of …

Sport consumers may respond to times of crisis (eg pandemic) in different ways depending
on a number of factors related to their decision-making. When it comes to decisions related …

Introduction: This review article deals with the selected psychosocial aspects of the category
of “crisis”. It includes interdisciplinary, holistic reflections on human biography understood as …

ABSTRACT Early Warning Systems (EWS) are crucial to mitigating and reducing disaster
impacts. Furthermore, technology and information systems (IS) are key to the success of …

The objectives of the study were two-fold:(1) To group mindsets related to COVID-19
vaccinations and examine their distribution by country. Then, based on this distribution, the …

Warnings can help to prevent damage and harm if they are issued timely and provide
information that helps respondents and population to adequately prepare for the disaster to …

Emotional turmoil is a major risk during crises; it negatively impacts social media
communities' well-being. To reduce this risk, crisis management models have identified …

For ages analytics were dealing with the data which represent the financial processes of
large groups of agents and the whole population. The crisis behavioural strategies were in …