Dataset Information

Willingness to Bear Economic Costs in the Fight Against the COVID-19 Pandemic.

ABSTRACT: The COVID-19 pandemic has created a situation in which people have to choose between economic and health values. This raises the question of what psychological mechanisms determine people's willingness to bear economic costs to protect health? To answer this question, we examined whether such willingness is better described by compensatory or lexicographic models of decision making in situations involving risk or uncertainty. We compared decisions regarding COVID-19 and occupational diseases to establish a pandemic-independent baseline and to determine whether the mechanisms behind the trade-offs are the same in both cases. Additionally, we tested whether people's willingness to accept economic costs is related to psychological factors such as fear, feeling of control, declared knowledge about the COVID-19 pandemic, predictions concerning the expected length of the pandemic, and perceived effectiveness of actions taken to fight the coronavirus. In total, 354 Polish participants from Prolific Academic took part in this study. The results were consistent with the view that decisions are made primarily to protect sacred values and are therefore not based on compensatory models. In line with this view, participants were sensitive neither to the risk vs. uncertainty manipulation nor to the perceived effectiveness of the lockdown. Instead, their behavior was congruent with lexicographic models in which the protection of health and in particular the fight against the COVID-19 pandemic appeared to be the most important dimension, and the single criterion to be used in decision making.

SUBMITTER: Sokolowska J

PROVIDER: S-EPMC7653024 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Willingness to Bear Economic Costs in the Fight Against the COVID-19 Pandemic.

Sokolowska Joanna J Zaleskiewicz Tomasz T

Frontiers in psychology 20201027

The COVID-19 pandemic has created a situation in which people have to choose between economic and health values. This raises the question of what psychological mechanisms determine people's willingness to bear economic costs to protect health? To answer this question, we examined whether such willingness is better described by compensatory or lexicographic models of decision making in situations involving risk or uncertainty. We compared decisions regarding COVID-19 and occupational diseases to ...[more]

PMID: 33192924

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Project description:Novel coronavirus disease 2019 (COVID-19) is a global pandemic caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which can be transmitted from person to person. As of September 21, 2021, over 228 million cases were diagnosed as COVID-19 infection in more than 200 countries and regions worldwide. The death toll is more than 4.69 million and the mortality rate has reached about 2.05% as it has gradually become a global plague, and the numbers are growing. Therefore, it is important to gain a deeper understanding of the genome and protein characteristics, clinical diagnostics, pathogenic mechanisms, and the development of antiviral drugs and vaccines against the novel coronavirus to deal with the COVID-19 pandemic. The traditional biology technologies are limited for COVID-19-related studies to understand the pandemic happening. Bioinformatics is the application of computational methods and analytical tools in the field of biological research which has obvious advantages in predicting the structure, product, function, and evolution of unknown genes and proteins, and in screening drugs and vaccines from a large amount of sequence information. Here, we comprehensively summarized several of the most important methods and applications relating to COVID-19 based on currently available reports of bioinformatics technologies, focusing on future research for overcoming the virus pandemic. Based on the next-generation sequencing (NGS) and third-generation sequencing (TGS) technology, not only virus can be detected, but also high quality SARS-CoV-2 genome could be obtained quickly. The emergence of data of genome sequences, variants, haplotypes of SARS-CoV-2 help us to understand genome and protein structure, variant calling, mutation, and other biological characteristics. After sequencing alignment and phylogenetic analysis, the bat may be the natural host of the novel coronavirus. Single-cell RNA sequencing provide abundant resource for discovering the mechanism of immune response induced by COVID-19. As an entry receptor, angiotensin-converting enzyme 2 (ACE2) can be used as a potential drug target to treat COVID-19. Molecular dynamics simulation, molecular docking and artificial intelligence (AI) technology of bioinformatics methods based on drug databases for SARS-CoV-2 can accelerate the development of drugs. Meanwhile, computational approaches are helpful to identify suitable vaccines to prevent COVID-19 infection through reverse vaccinology, Immunoinformatics and structural vaccinology.

Dataset Information

Willingness to Bear Economic Costs in the Fight Against the COVID-19 Pandemic.

Publications

Willingness to Bear Economic Costs in the Fight Against the COVID-19 Pandemic.

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