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Original Article
The role of risk perception, risk communication, and demographic factors in COVID-19 preventive behaviors: an online survey in Iran
Mansour Rezaei, Nader Rajabi Gilan, Ali Almasi, Mehdi Khezeli, Fatemeh Jamshidi Nazar, Zahra Jorjoran Shushtari, Yahya Salimi, Farid Najafi, Neda Sarabi, Shahram Saeidi, Saeid Saeidi
Osong Public Health Res Perspect. 2022;13(4):282-289.   Published online August 31, 2022
  • 572 View
  • 29 Download
AbstractAbstract PDF
This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample.
This online survey was conducted among the population aged 18 and above in Kermanshah Province, in western Iran, in April 2020. Samples were invited and recruited through social media. Data were collected using a questionnaire consisting of 4 sections (questions on demographic variables, risk perception, risk communication, and COVID-19 preventive behaviors) and analyzed using Stata ver. 8.
The Pearson correlation test showed that risk communication was significantly correlated with COVID-19 preventive behaviors (r=0.320, p<0.01). In the final model, where the explanatory power increased with the entry of the risk communication variable, the variables explained a total of 14% of variance in COVID-19 preventive behaviors. Sex (β=−0.482), risk perception (β=0.047), and risk communication (β=0.662) were significant determinants.
Risk communication and risk perception related to COVID-19, as well as being a woman, were determinants of COVID-19 preventive behaviors.
Brief Reports
Operating a National Hotline in Korea During the COVID-19 Pandemic
Rok Song, Yuh Seog Choi, Jae Young Ko
Osong Public Health Res Perspect. 2020;11(6):380-382.   Published online December 22, 2020
  • 3,934 View
  • 80 Download
  • 4 Citations
AbstractAbstract PDF

The importance of effective communication cannot be overestimated during a pandemic. The Korea Disease Control and Prevention Agency national 1339 hotline has been in operation since the Middle East respiratory syndrome coronavirus outbreak in 2016. The hotline is open 24 hours a day, 7 days a week, 365 days a year, and provides accurate, reliable information based upon the Korea Disease Control and Prevention Agency guidelines in response to queries. During the coronavirus disease 2019 (COVID-19) pandemic, the 1339 hotline received callers’ questions about symptoms and the implications of their actions regarding the epidemic. Through the 1339 hotline, callers received the up-to-date information that enabled them to protect themselves as well as others from COVID-19. This public service may have influenced on reduced risk of virus transmission in Korea.


Citations to this article as recorded by  
  • An Innovative Telemedicine Initiative From Sri Lanka: The Value of Volunteerism in a Resource-Constrained Scenario During the COVID-19 Pandemic
    Indika Karunathilake, Sajith Edirisinghe, Manuj Weerasinghe, B. J. C. Perera, Anver Hamdani, Rasnayaka Mudiyanse, Sanka Randenikumara, Dulmini de Silva, Dulanja Senanayake, Sarath Gamini De Silva, Kalyani Guruge, M. K. Ragunathan, Athula Sumathipala, Pali
    Asia Pacific Journal of Public Health.2022; 34(5): 557.     CrossRef
  • Mental health concerns and network structures of psychological helpline help-seekers during the COVID-19 pandemic in China: Pandemic stage differences
    Lizu Lai, Jingqiang Tong, Yu-Tao Xiang, Lin Zhang, Zhihong Ren
    Journal of Affective Disorders.2022;[Epub]     CrossRef
  • Epidemiology, clinical spectrum, viral kinetics and impact of COVID ‐19 in the Asia‐Pacific region
    Kin On Kwok, Ying Huang, Margaret Ting Fong Tsoi, Arthur Tang, Samuel Yeung Shan Wong, Wan In Wei, David Shu Cheong Hui
    Respirology.2021; 26(4): 322.     CrossRef
  • Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience
    Hae-ryoung Chun, Kyuhyun Yoon, Hana Kim, Eunsil Cheon, Jaeyoung Ha, Sangwoo Tak, Sung-il Cho
    Risk Management and Healthcare Policy.2021; Volume 14: 4765.     CrossRef
Lyme Disease and YouTubeTM: A Cross-Sectional Study of Video Contents
Corey H. Basch, Lindsay A. Mullican, Kwanza D. Boone, Jingjing Yin, Alyssa Berdnik, Marina E. Eremeeva, Isaac Chun-Hai Fung
Osong Public Health Res Perspect. 2017;8(4):289-292.   Published online August 31, 2017
  • 2,941 View
  • 28 Download
  • 8 Citations
AbstractAbstract PDFSupplementary Material

Lyme disease is the most common tick-borne disease. People seek health information on Lyme disease from YouTubeTM videos. In this study, we investigated if the contents of Lyme disease-related YouTubeTM videos varied by their sources.


Most viewed English YouTubeTM videos (n = 100) were identified and manually coded for contents and sources.


Within the sample, 40 videos were consumer-generated, 31 were internet-based news, 16 were professional, and 13 were TV news. Compared with consumer-generated videos, TV news videos were more likely to mention celebrities (odds ratio [OR], 10.57; 95% confidence interval [CI], 2.13–52.58), prevention of Lyme disease through wearing protective clothing (OR, 5.63; 95% CI, 1.23–25.76), and spraying insecticides (OR, 7.71; 95% CI, 1.52–39.05).


A majority of the most popular Lyme disease-related YouTubeTM videos were not created by public health professionals. Responsible reporting and creative video-making facilitate Lyme disease education. Partnership with YouTubeTM celebrities to co-develop educational videos may be a future direction.


Citations to this article as recorded by  
  • Assessing Public Tick Identification Ability and Tick Bite Riskiness Using Passive Photograph-Based Crowdsourced Tick Surveillance
    Heather L Kopsco, Roland J Duhaime, Thomas N Mather, Holly Gaff
    Journal of Medical Entomology.2021; 58(2): 837.     CrossRef
  • Spray Safe, Play Safe: Story-Based Films Increase Homeowner Confidence About Backyard Tick Management
    Victoria L Hornbostel, Rayda K Krell, Jennifer J Reid, Brittany L Schappach, Scott Volpe, Neeta P Connally, Holly Gaff
    Journal of Medical Entomology.2021; 58(2): 857.     CrossRef
  • Cross‐sectional study on the quality of oral lichen planus videos on YouTube™
    Antonio Romano, Dorina Lauritano, Fausto Fiori, Marco Di Petrillo, Iquebal Hasan, Alberta Lucchese, Rosario Serpico, Dario Di Stasio
    Journal of Oral Pathology & Medicine.2021; 50(2): 220.     CrossRef
  • Experience and knowledge of Lyme disease: A scoping review of patient-provider communication
    Anna T. Nesgos, Laura C. Harrington, Emily M. Mader
    Ticks and Tick-borne Diseases.2021; 12(4): 101714.     CrossRef
  • The Coronavirus Intervention in Ethiopia and the Challenges for Implementation
    Hagos Nigussie
    Frontiers in Communication.2021;[Epub]     CrossRef
  • Lyme disease prevention: A content analysis of Canadian patient group and government websites
    Audrey‐Ann Journault, Lucie Richard, Cécile Aenishaenslin
    Zoonoses and Public Health.2020; 67(2): 177.     CrossRef
  • Mapping tweets to a known disease epidemiology; a case study of Lyme disease in the United Kingdom and Republic of Ireland
    John S.P. Tulloch, Roberto Vivancos, Rob M. Christley, Alan D. Radford, Jenny C. Warner
    Journal of Biomedical Informatics.2019; 100: 100060.     CrossRef
  • Eastern Equine Encephalitis and YouTube videos: A content analysis
    Corey H. Basch, Elizabeth B. Blankenship, Isaac Chun-Hai Fung, Christina C. Yarborough, R. Christopher Rustin, Jingjing Yin
    Infection, Disease & Health.2018; 23(4): 197.     CrossRef
Original Article
The Influence of Media Communication on Risk Perception and Behavior Related to Mad Cow Disease in South Korea
Jee-Eun Park, Aeree Sohn
Osong Public Health Res Perspect. 2013;4(4):203-208.   Published online August 31, 2013
  • 1,839 View
  • 13 Download
  • 9 Citations
AbstractAbstract PDF
The purpose of this study was to ascertain the influence of media communication on risk behavior related to mad cow disease (MCD).
Mothers of elementary school students in Seoul were recruited as the survey participants of this study.
Media reports affected risk behavior related to MCD. Also, knowledge and attitude toward MCD affects risk behavior.
Risk-related information provided by the media should maintain consistency and objectivity. For effective risk communication, there should be an open communication between the government and public, experts, and related industries, who should all collaborate.


Citations to this article as recorded by  
  • The influence of media consumption on public risk perception: a meta-analysis
    Chunhua Niu, Zhixin Jiang, Hongbing Liu, Kehu Yang, Xuping Song, Zhihong Li
    Journal of Risk Research.2022; 25(1): 21.     CrossRef
  • Patterns of compliance with COVID-19 preventive measures among the public in Qatar and Kuwait
    Noora Lari, Noor Al-Thani
    Global Social Policy.2022; 22(3): 580.     CrossRef
  • Understanding risk perception from floods: a case study from China
    Yi Ge, Guangfei Yang, Xiaotao Wang, Wen Dou, Xueer Lu, Jie Mao
    Natural Hazards.2021; 105(3): 3119.     CrossRef
  • When beef consumption becomes politicized: Longitudinal change of US beef purchase intention and political values in Korea
    Byeong Je Kim, Ji-Bum Chung
    Food Policy.2021; 105: 102171.     CrossRef
  • Community participation effects on preparedness behaviour through risk perception: Empirical data of hazardous chemicals from China
    Xiaowei Li, Tiezhong Liu
    International Journal of Disaster Risk Reduction.2020; 44: 101421.     CrossRef
  • Food risk communication: analysis of the media coverage of food risk on Italian online daily newspapers
    Barbara Tiozzo, Anna Pinto, Federico Neresini, Stefano Sbalchiero, Nicoletta Parise, Mirko Ruzza, Licia Ravarotto
    Quality & Quantity.2019; 53(6): 2843.     CrossRef
  • Perceived risks of produced water management and naturally occurring radioactive material content in North Dakota
    Luisa Torres, Om Prakash Yadav, Eakalak Khan
    Journal of Environmental Management.2017; 196: 56.     CrossRef
  • Risk prediction of product-harm events using rough sets and multiple classifier fusion: an experimental study of listed companies in China
    Delu Wang, Jianping Zheng, Gang Ma, Xuefeng Song, Yun Liu
    Expert Systems.2016; 33(3): 254.     CrossRef
  • Health Literacy, Health Risk Perception and Health Behavior of Elders
    Jeong Hee Jeong, Jung Soon Kim
    Journal of Korean Academy of Community Health Nurs.2014; 25(1): 65.     CrossRef

PHRP : Osong Public Health and Research Perspectives