scholarly journals Assessing the community risk perception toward COVID-19 outbreak in South Korea: evidence from Google and NAVER relative search volume

2020 ◽  
Author(s):  
Atina Husnayain ◽  
Eunha Shim ◽  
Anis Fuad ◽  
Emily Chia-Yu Su
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
South Korea ◽  
Risk Communication ◽  
Community Health ◽  
Population Characteristics ◽  
Online Information ◽  
Search Volume ◽  
Relative Search Volume ◽  
Health Risk Perception

AbstractThis study aimed to explore the patterns of community health risk perception of coronavirus disease 2019 (COVID-19) in South Korea using Internet search data. Google and NAVER relative search volume data were collected using COVID-19-related terms in Korean language. Online queries were compared with the number of new COVID-19 cases and tests. Time series trends and Spearman’s rank correlation coefficients showed that the number of COVID-19-related queries in South Korea increased during the local and international events; higher in women, certain age groups; and higher in affected areas, which represented the community health risk perception. Greater correlations were found in mobile searches compared to that of desktop searches, indicating the changing behavior in searching health online information. The use of both Google and NAVER RSV to explore the patterns of community health risk perception could be beneficial for targeting risk communication in several perspectives including time, population characteristics, and location.Article Summary LineThe use of both Google and NAVER RSV to explore the patterns of community health risk perception toward COVID-19 in South Korea could be beneficial for targeting risk communication in several perspectives including time, population characteristics, and location.

scholarly journals Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study

10.2196/19788 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e19788
Author(s):  
Atina Husnayain ◽  
Eunha Shim ◽  
Anis Fuad ◽  
Emily Chia-Yu Su
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
South Korea ◽  
Community Health ◽  
Risk Perceptions ◽  
Age Groups ◽  
Face Mask ◽  
Search Data ◽  
Internet Searches ◽  
Online Queries

Background South Korea is among the best-performing countries in tackling the coronavirus pandemic by using mass drive-through testing, face mask use, and extensive social distancing. However, understanding the patterns of risk perception could also facilitate effective risk communication to minimize the impacts of disease spread during this crisis. Objective We attempt to explore patterns of community health risk perceptions of COVID-19 in South Korea using internet search data. Methods Google Trends (GT) and NAVER relative search volumes (RSVs) data were collected using COVID-19–related terms in the Korean language and were retrieved according to time, gender, age groups, types of device, and location. Online queries were compared to the number of daily new COVID-19 cases and tests reported in the Kaggle open-access data set for the time period of December 5, 2019, to May 31, 2020. Time-lag correlations calculated by Spearman rank correlation coefficients were employed to assess whether correlations between new COVID-19 cases and internet searches were affected by time. We also constructed a prediction model of new COVID-19 cases using the number of COVID-19 cases, tests, and GT and NAVER RSVs in lag periods (of 1-3 days). Single and multiple regressions were employed using backward elimination and a variance inflation factor of <5. Results The numbers of COVID-19–related queries in South Korea increased during local events including local transmission, approval of coronavirus test kits, implementation of coronavirus drive-through tests, a face mask shortage, and a widespread campaign for social distancing as well as during international events such as the announcement of a Public Health Emergency of International Concern by the World Health Organization. Online queries were also stronger in women (r=0.763-0.823; P<.001) and age groups ≤29 years (r=0.726-0.821; P<.001), 30-44 years (r=0.701-0.826; P<.001), and ≥50 years (r=0.706-0.725; P<.001). In terms of spatial distribution, internet search data were higher in affected areas. Moreover, greater correlations were found in mobile searches (r=0.704-0.804; P<.001) compared to those of desktop searches (r=0.705-0.717; P<.001), indicating changing behaviors in searching for online health information during the outbreak. These varied internet searches related to COVID-19 represented community health risk perceptions. In addition, as a country with a high number of coronavirus tests, results showed that adults perceived coronavirus test–related information as being more important than disease-related knowledge. Meanwhile, younger, and older age groups had different perceptions. Moreover, NAVER RSVs can potentially be used for health risk perception assessments and disease predictions. Adding COVID-19–related searches provided by NAVER could increase the performance of the model compared to that of the COVID-19 case–based model and potentially be used to predict epidemic curves. Conclusions The use of both GT and NAVER RSVs to explore patterns of community health risk perceptions could be beneficial for targeting risk communication from several perspectives, including time, population characteristics, and location.

scholarly journals Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study (Preprint)

2020 ◽  
Author(s):  
Atina Husnayain ◽  
Eunha Shim ◽  
Anis Fuad ◽  
Emily Chia-Yu Su
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
South Korea ◽  
Community Health ◽  
Risk Perceptions ◽  
Age Groups ◽  
Face Mask ◽  
Search Data ◽  
Internet Searches ◽  
Online Queries

BACKGROUND South Korea is among the best-performing countries in tackling the coronavirus pandemic by using mass drive-through testing, face mask use, and extensive social distancing. However, understanding the patterns of risk perception could also facilitate effective risk communication to minimize the impacts of disease spread during this crisis. OBJECTIVE We attempt to explore patterns of community health risk perceptions of COVID-19 in South Korea using internet search data. METHODS Google Trends (GT) and NAVER relative search volumes (RSVs) data were collected using COVID-19–related terms in the Korean language and were retrieved according to time, gender, age groups, types of device, and location. Online queries were compared to the number of daily new COVID-19 cases and tests reported in the Kaggle open-access data set for the time period of December 5, 2019, to May 31, 2020. Time-lag correlations calculated by Spearman rank correlation coefficients were employed to assess whether correlations between new COVID-19 cases and internet searches were affected by time. We also constructed a prediction model of new COVID-19 cases using the number of COVID-19 cases, tests, and GT and NAVER RSVs in lag periods (of 1-3 days). Single and multiple regressions were employed using backward elimination and a variance inflation factor of &lt;5. RESULTS The numbers of COVID-19–related queries in South Korea increased during local events including local transmission, approval of coronavirus test kits, implementation of coronavirus drive-through tests, a face mask shortage, and a widespread campaign for social distancing as well as during international events such as the announcement of a Public Health Emergency of International Concern by the World Health Organization. Online queries were also stronger in women (<i>r</i>=0.763-0.823; <i>P</i>&lt;.001) and age groups ≤29 years (<i>r</i>=0.726-0.821; <i>P</i>&lt;.001), 30-44 years (<i>r</i>=0.701-0.826; <i>P</i>&lt;.001), and ≥50 years (<i>r</i>=0.706-0.725; <i>P</i>&lt;.001). In terms of spatial distribution, internet search data were higher in affected areas. Moreover, greater correlations were found in mobile searches (<i>r</i>=0.704-0.804; <i>P</i>&lt;.001) compared to those of desktop searches (<i>r</i>=0.705-0.717; <i>P</i>&lt;.001), indicating changing behaviors in searching for online health information during the outbreak. These varied internet searches related to COVID-19 represented community health risk perceptions. In addition, as a country with a high number of coronavirus tests, results showed that adults perceived coronavirus test–related information as being more important than disease-related knowledge. Meanwhile, younger, and older age groups had different perceptions. Moreover, NAVER RSVs can potentially be used for health risk perception assessments and disease predictions. Adding COVID-19–related searches provided by NAVER could increase the performance of the model compared to that of the COVID-19 case–based model and potentially be used to predict epidemic curves. CONCLUSIONS The use of both GT and NAVER RSVs to explore patterns of community health risk perceptions could be beneficial for targeting risk communication from several perspectives, including time, population characteristics, and location.

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.

Multiple Health Risk Perception and Information Processing Among African Americans and Whites Living in Poverty

Risk Analysis ◽  
2011 ◽  
Vol 31 (11) ◽  
pp. 1789-1799 ◽  
Author(s):  
Shelly Hovick ◽  
Vicki S. Freimuth ◽  
Ashani Johnson-Turbes ◽  
Doryn D. Chervin
Keyword(s):  
Information Processing ◽  
Risk Perception ◽  
African Americans ◽  
Health Risk ◽  
Multiple Health ◽  
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.

Health-risk Perception in the Inner City Community of Centro Habana, Cuba

2000 ◽  
Vol 6 (1) ◽  
pp. 34-43 ◽  
Author(s):  
Niurys Fernández ◽  
Robert B. Tate ◽  
Mariano Bonet ◽  
Mayilée Cañizares ◽  
Pedro Mas ◽  
...  
Keyword(s):  
Risk Perception ◽  
Health Risk ◽  
Inner City ◽  
City Community ◽  
Health Risk Perception

scholarly journals An Exploratory Study of Police Officers’ Perceptions of Health Risk, Work Stress, and Psychological Distress During the COVID-19 Outbreak in China

2021 ◽  
Vol 12 ◽  
Author(s):  
Qiufeng Huang ◽  
Ali Ahmad Bodla ◽  
Chiyin Chen
Keyword(s):  
Psychological Distress ◽  
Chronic Disease ◽  
Risk Perception ◽  
Gender Difference ◽  
Health Risk ◽  
Work Stress ◽  
Health Risks ◽  
Police Officers ◽  
Working Hours ◽  
Health Risk Perception

BackgroundHow do the police officers perceive health risk, psychological distress, and work stress during the COVID-19 outbreak in China? This study explores the health risk perception, work stress, and psychological distress of police officers who worked at the front line to implement lockdown measures.Materials and MethodsWe conducted a large-scale field survey (N = 5,611) with police officers sample in the northwestern part of China from February 29 to March 7, 2020. Independent-sample T-test and ANOVA were used to analyze whether there are differences in health risk perception, work stress, and psychological distress between different groups. The regression analysis was employed to figure out the factors that influence police officers’ psychological distress.ResultsResults showed a gender difference in perceiving work stress among police officers. Also, police officers with chronic disease perceived higher health risks, more psychological distress, and higher work stress. Additionally, police officers above 45 years old significantly perceived higher health risks than young officers did. It also revealed that working hours contribute to police officers’ health risk perception, psychological distress, and work stress. Finally, our results highlight that age, working hours, chronic disease, health risk perception, and work stress significantly contribute to police officers’ psychological distress.ConclusionOur research verifies that there is a gender difference in perceiving work stress among police officers. Police officers with ongoing medical issues and above 45 years old suffer more during the COVID-19 outbreak in China. Our research suggests that the government should pay more attention to their physical health and mental health. The heavy workload containing the COVID-19 extends police officers’ working hours, causing higher health risks, work stress, and psychological distress. This study contributes to the psychological distress literature and provides a way forward to other countries struggling to contain the COVID-19.

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