scholarly journals Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception

2013 ◽  
Vol 15 (6) ◽  
pp. e114 ◽  
Author(s):  
Bo Liang ◽  
Debra L Scammon
Keyword(s):  
Public Health ◽  
Risk Perception ◽  
Health Risk ◽  
Health Information ◽  
Information Search ◽  
Online Health Information ◽  
Public Health Risk ◽  
Health Risk Perception

Modeling behavioral intention toward traveling in times of a health-related crisis

2021 ◽  
pp. 135676672110247
Author(s):  
Diep Ngoc Su ◽  
Kim Phuong Thi Tran ◽  
Ly Ngoc Thi Nguyen ◽  
Tram Huyen Thi Thai ◽  
Thanh Hoai Thi Doan ◽  
...  
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
Information Search ◽  
Behavioral Intention ◽  
Policy Makers ◽  
Online Networks ◽  
Behavior Intention ◽  
Tpb Model ◽  
Health Related ◽  
Health Risk Perception

This study proposes an integrated model based on the Risk Perception Attitude (RPA) framework and the Theory of Planned Behavior (TPB) model to investigate behavioral intention toward traveling in times of a health-related crisis. A survey was conducted via online networks of travelers, yielding 338 valid cases. The findings indicate that health risk perception is affected by information search about the Covid-19 disease. The relationship between health risk perception and behavioral intention toward traveling during a health-related crisis is not direct, but indirect via health self-efficacy and attitude about their future trip. The study contributes to understand a cognitive process of tourists’ behavior intention toward traveling in a health-related crisis. Practically, this study’s findings provide tourists, government agencies, tourism marketers, and policy-makers and other tourism stakeholders with important suggestions for tourism recovery during and after the pandemic.

Exploring individuals’ adoption of COVID-19 contact-tracing apps: a mixed-methods approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tin Trung Nguyen ◽  
Tony Cat Anh Hung Nguyen ◽  
Cong Duc Tran
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
Technology Acceptance ◽  
Health Information ◽  
Explanatory Power ◽  
Contact Tracing ◽  
Content Type ◽  
Health Factors ◽  
Actual Use ◽  
Health Risk Perception

PurposeDuring the challenging time of lockdown and isolation due to the coronavirus disease (COVID-19), contact-tracing apps have played a critical role in health communication and preventive healthcare. This study proposed and tested an extended technology acceptance model (TAM) with key health factors (i.e. health risk perception from COVID-19, health information orientation to COVID-19 and health consciousness) to understand individuals' adoption of COVID-19 contact-tracing apps.Design/methodology/approachA two-stage online survey was conducted to collect data on US individuals’ intention and actual use of COVID-19 contact-tracing apps. The sample comprises 288 valid responses. Partial least squares structural equation modeling (PLS-SEM) and fuzzy set/qualitative comparative analysis (fsQCA) were employed as the complementary approaches.FindingsThe findings from PLS-SEM revealed that health risk perception, health information orientation and perceived usefulness have positive net effects on behavioral intention, which, in turn, affects actual use. The results from fsQCA highlighted the explanatory power of the extended TAM to COVID-19 contact-tracing app adoption.Originality/valueAlthough TAM is considerably effective in measuring technology acceptance, the phenomenon is highly context-driven. How technological and health factors simultaneously motivate the use of contact-tracing apps has not been well documented. The present study offers some implications for practitioners concerned about fostering the adoption of mobile health services in the time of COVID-19. Methodologically, this study is among the first to blend PLS-SEM and fsQCA to measure the explanatory power of a structural model.

Health Risk Perception and Risk Communication

2017 ◽  
Vol 4 (2) ◽  
pp. 163-169 ◽  
Author(s):  
Ralf Schmälzle ◽  
Britta Renner ◽  
Harald T. Schupp
Keyword(s):  
Public Health ◽  
Risk Perception ◽  
Health Risk ◽  
Risk Communication ◽  
Risk Perceptions ◽  
Protective Action ◽  
Health Behavior Change ◽  
Personal Risk ◽  
The Brain ◽  
Health Risk Perception

Risk perceptions are a prerequisite for protective action. Both scientists and practitioners need to understand the multifaceted nature of health risk perception and risk communication. This article reviews insights from psychophysiological research, with a focus on neuroscientific approaches that examine the biological basis of risk perception in the brain and capture the brain response to health and risk messages. Specifically, we discuss the key role of intuitive processes for personal risk perception and the difference between absolute and comparative risk. We then describe the relationship between risk perception and health behavior change and present recent work that measures responses to health prevention messages. Finally, we discuss implications for translation to public health policy and point to needs for future research. A better understanding of the biological roots of personal risk perception and how these can be addressed via risk communication informs policymakers in designing effective public health interventions.

scholarly journals Investigating the Links Between Vaccination Against COVID-19 and Public Attitudes Toward Protective Countermeasures: Implications for Public Health

2021 ◽  
Vol 9 ◽  
Author(s):  
Ruishi Si ◽  
Yumeng Yao ◽  
Xueqian Zhang ◽  
Qian Lu ◽  
Noshaba Aziz
Keyword(s):  
Public Health ◽  
Risk Perception ◽  
Health Risk ◽  
Public Attitudes ◽  
Physical Distance ◽  
Hand Washing ◽  
The World ◽  
Novel Coronavirus ◽  
The Impact ◽  
Health Risk Perception

The COVID-19 pandemic caused by the novel coronavirus, SARS-CoV-2, is spreading globally at an unprecedented rate. To protect the world against this devastating catastrophe, vaccines for SARS-CoV-2 have been produced following consistent clinical trials. However, the durability of a protective immune response due to vaccination has not been confirmed. Moreover, COVID-19 vaccination against SARS-CoV-2 is not 100% guaranteed, as new variants arise due to mutations. Consequently, health officials are pleading with the public to take extra precautions against the virus and continue wearing masks, wash hands, and observe physical distancing even after vaccination. The current research collected data from 4,540 participants (1,825 vaccinated and 2,715 not vaccinated) in China to analyze this phenomenon empirically. The propensity score matching (PSM) model is employed to analyze the impact of vaccination against COVID-19 on participants' attitudes toward protective countermeasures. The findings showed that gender, age, education level, occupation risk, individual health risk perception, public health risk perception, social responsibility, peer effect, and government supervision are the main drivers for participants to be vaccinated with COVID-19's vaccines. The results further show that vaccination lessened participants' frequency of hand washing by 1.75 times and their compliance frequency intensity of observing physical distancing by 1.24 times. However, the rate of mask-wearing did not reduce significantly, implying that China's main countermeasure of effective mask-wearing effectively controls COVID-19. Moreover, the findings indicate that a reduction in the frequency of hand washing and observing physical distance could cause a resurgence of COVID-19. In conclusion, factors leading to the eradication of SARS-CoV-2 from the world are complex to be achieved, so the exploration of COVID-19 vaccination and people's attitude toward protective countermeasures may provide insights for policymakers to encourage vaccinated people to follow protective health measures and help in completely defeating the COVID-19 from the globe.

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