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PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS. pISSN: 2210-9099. eISSN: 2233-6052

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Review Article

Public health agencies’ use of social media for communication during pandemics: a scoping review of the literature
Babatunde Abiodun Balogun, Anne Hogden, Nenagh Kemp, Lin Yang, Maria Agaliotis
Osong Public Health Res Perspect 2023;14(4):235-251.
Published online August 9, 2023
DOI: https://doi.org/10.24171/j.phrp.2023.0095
Public health agencies’ use of social media for communication during pandemics: a scoping review of the literature
Public health agencies (PHAs) have increasingly incorporated social media into their communication mix during successive pandemics in the 21st century. However, the quality, timing, and accuracy of their health messages have varied significantly, resulting in mixed outcomes for communication, audience engagement, and pandemic management. This study aimed to identify factors influencing the effectiveness of pandemic-related health messages shared by PHAs on social media and to report their impact on public engagement as documented in the literature. A scoping literature review was conducted following a predefined protocol. An electronic search of 7 relevant databases and 5 grey literature repositories yielded 9,714 papers published between January 2003 and November 2022. Seventy-three papers were deemed eligible and selected for review. The results underscored the insufficiency of social media guidance policies for PHAs. Six themes were identified: message source, message topic, message style, message timing, content credibility and reliability, and message recipient profile. These themes encompassed 20 variables that could inform PHAs’ social media public health communication during pandemics. Additionally, the findings revealed potential interconnectedness among the variables, and this study concluded by proposing a conceptual model that expands upon existing theoretical foundations for developing and evaluating pandemic-related health messaging.

Citations

Citations to this article as recorded by  Crossref logo
  • Dynamics of public health messaging and healthcare activity in children during the 2022 iGAS surge: an observational study in England
    Alexandra L Creavin, Ruth Kipping, Alastair D Hay
    Journal of Public Health.2026; 48(1): 281.     CrossRef
  • Using Humor to Promote Directives: Public Service Announcements During a Protracted Crisis
    Babatunde A. Balogun, Lin Yang, Nenagh Kemp, Maria Agaliotis, Anne Hogden
    Health Communication.2026; 41(11): 1941.     CrossRef
  • Citizen engagement with information when adapting to health crises: four distinctive profiles
    Marilla Kortesalmi, Harri Jalonen, Valdemar R. V. Kallunki
    International Journal of Public Sector Management.2026; 39(5): 579.     CrossRef
  • Ethnopharmacy of Medicinal Plants in the Production of Ma'jun as Traditional Medicine in Blang Dalam Village, Darul Hikmah District, Aceh Jaya Regency
    Vera Maulida, Muhammad Ridhwan, Rubiah, Husna, Cut Morina Zubainur
    Jurnal Penelitian Pendidikan IPA.2026; 12(3): 59.     CrossRef
  • Planning and Implementing Social Media Communication in a Public Health Crisis: An Analytical Perspective
    Babatunde A. Balogun, A. Hogden, L. Yang, M. Agaliotis, N. Kemp
    Health Promotion Journal of Australia.2026;[Epub]     CrossRef
  • Misinformation Through the Lens of Dutch News Media and Public Health Authorities: Content Analysis of Topics and Narratives Present in Pandemic-Related Misinformation During COVID-19
    David Blanco-Herrero, Bas van den Putte, Toni G L A van der Meer
    JMIR Infodemiology.2026; 6: e91743.     CrossRef
  • Mapping risk communication practices in public health emergencies: a scoping review and comparison with Italian regional pandemic plans
    Erica De Vita, Guglielmo Arzilli, Francesco Gesualdo, Virginia Casigliani, Milena Pasquale, Gianluca Cruschelli, Federico Tecchio, Filippo Tosi, Andrea Davide Porretta, Diana Romersi, Cesare Buquicchio, Caterina Rizzo
    BMC Public Health.2026;[Epub]     CrossRef
  • Co‐Designing a Framework for Social Media Health Communication to Young People: A Participatory Research Study
    Melody Taba, Julie Ayre, Kirsten McCaffery, Diana Vassilenko, Ivan C. K. Ma, Tara Haynes, Julie Leask, Andrew Wilson, Carissa Bonner
    Health Expectations.2025;[Epub]     CrossRef
  • Living health-promotion campaigns for communities in the United States: Decentralized content extraction and sharing through AI
    Man-pui Sally Chan, Haesung Jung, Alex Morales, Angela Zhang, Devlin O’Keefe, Sarah Joseph, Anthony Hron, Janet Davis, Tito Terry, Tiffany Peterson, Corey Herrman, Melissa Phillips, Jennifer Osborne, Kelley G McBride, Martin Hensley, Adriana Todorov, Alai
    PNAS Nexus.2025;[Epub]     CrossRef
  • Paid Social Media Advertising on Vaping in Australia: A Descriptive Study Using Meta Ad Library
    Xiao Li, Robyn Gillespie, Alberto Nettel‐Aguirre, Lisa Gaye Smithers
    Health Promotion Journal of Australia.2025;[Epub]     CrossRef
  • 11,736 View
  • 306 Download
  • 9 Web of Science
  • Crossref

Original Articles

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
DOI: https://doi.org/10.24171/j.phrp.2021.0345
Objectives
This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample.
Methods
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.
Results
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.
Conclusion
Risk communication and risk perception related to COVID-19, as well as being a woman, were determinants of COVID-19 preventive behaviors.

Citations

Citations to this article as recorded by  Crossref logo
  • A study protocol for co-designing risk communication strategies for hepatitis C virus (HCV) testing among priority populations in Johannesburg district, Gauteng, South Africa
    Nyeleti P. Chauke, Tivani Mashamba-Thompson, Kuhlula Maluleke
    Discover Public Health.2026;[Epub]     CrossRef
  • Predisposing factors of using cosmetics in Iranian female students: application of prototype willingness model
    Shandiz Moslehi, Asghar Tavan, Sajjad Narimani, Fatemeh Ahmadi, Masoomeh Kazemzadeh, Nadia Sedri
    Frontiers in Psychology.2024;[Epub]     CrossRef
  • Utilizing social media for community risk communication in megacities: analysing the impact of WeChat group information interaction and perception on communication satisfaction during the COVID-19 pandemic in Shanghai
    Yasai Chen, Yiru Chen, Shan Yu, Shuni Yu
    BMC Public Health.2024;[Epub]     CrossRef
  • The strongest predictors of compliance with health protocols among marketers and guilds based on the transtheoretical model
    Shandiz Moslehi, Asghar Tavan, Sajjad Narimani, Fardin shahbazzadeh, Nadia Sedri, Sama Sabahi
    BMC Public Health.2024;[Epub]     CrossRef
  • Adaptive measures to deal with the next pandemic caused by climate change in at-risk groups
    Laleh Hassani, Reihaneh Taheri Kondar, Sajjad Narimani, Amin Ghanbarnejad
    BMC Psychiatry.2024;[Epub]     CrossRef
  • Understanding Australian Government Risk Communication Early in the COVID-19 Pandemic: Sociodemographics, Risk Attitudes and Media Consumption
    Yiyun Shou, Louise M. Farrer, Amelia Gulliver, Eryn Newman, Philip J. Batterham, Michael Smithson
    Journal of Health Communication.2023; 28(4): 254.     CrossRef
  • Risk perception and avoidance of preventive behavior on the COVID‐19 among cancer patients
    Mehdi Khezeli, Asghar Tavan, Sajjad Narimani, Vahideh Hoseini, Elham Zare Hosseinzadeh, Parisa Motamedi
    Health Science Reports.2023;[Epub]     CrossRef
  • The Role of Risk Communication in Shaping Health-Protective Behavior Amid the COVID-19 Pandemic in Thailand
    Suphunnika Termmee, Bing Wang
    Social Sciences.2023; 12(10): 551.     CrossRef
  • 8,700 View
  • 88 Download
  • 8 Web of Science
  • Crossref
Joint Association of Screen Time and Physical Activity with Obesity: Findings from the Korea Media Panel Study
Jihyung Shin
Osong Public Health Res Perspect 2018;9(4):207-212.
Published online August 31, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.4.10
<sec> <title>Objectives</title> <p>There is evidence to suggest that sedentary behavior is associated with a higher risk of metabolic disease. The aim of this study was to investigate cross-sectional joint associations of physical activity (PA) and screen time (ST), with the risk of obesity in Korean adults.</p></sec> <sec> <title>Methods</title> <p>The Korea Media Panel Study consisted of a household interview and a self-administered diary survey on media usage over 3 days. ST (hours/day) was defined as the reported daily average hours spent watching television, computing (i.e., desktop, notebook, netbook, tablets), smartphone and video game console use. Cross-sectional associations of obesity (BMI ≥ 25 kg/m<sup>2</sup>) and the amount of daily ST and PA were examined by logistic regression models adjusting for other possible confounders including alcohol consumption, smoking, depressive symptoms and demographic information. There were 7,808 participants included in the analyses.</p></sec> <sec> <title>Results</title> <p>Increased ST was significantly associated with the risk of obesity (controlling for other possible confounders), but PA level was not found to be significantly linked. Participants who engaged in screen time > 6 hours per day had a higher incidence of obesity.</p></sec> <sec> <title>Conclusion</title> <p>This study provides evidence of the association between ST and the increased incidence of obesity measured by BMI, independent of PA amongst Korean adults.</p></sec>

Citations

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  • The economic burden of adolescent internet addiction: A Korean health cost case study
    Robert W. Mead, Edward Nall
    The Social Science Journal.2026; 63(3): 974.     CrossRef
  • Association of physical activity levels on cardiovascular and respiratory indicators in BMI-matched Middle-aged Chinese men
    Yanjia Xu, Yang Lu, Mingyang Liu, Hyun-Min Choi, Sukwon Kim, Zhe Hu
    Critical Public Health.2026;[Epub]     CrossRef
  • Screen exposure and health behaviors in Saudi adults: cross-sectional associations with physical activity and BMI
    Sara K. Alnasser, Narmeen Shaikh, Noara Alhusseini
    International Journal Of Community Medicine And Pu.2026; 13(2): 586.     CrossRef
  • Electronic cigarette use linked to poor sleep quality: a cross-sectional nationwide population-based study in Korea
    Wonseok Jeong, Min Ji Song, Ji Hye Shin, Ji Hyun Kim
    Sleep and Breathing.2026;[Epub]     CrossRef
  • What is the connection between screen time and lifestyle factors important for bone health? Findings from the Hertfordshire Intergenerational Study
    Leo Westbury, Gregorio Bevilacqua, Faidra Laskou, Fiona Kirkham-Wilson, Nicholas Fuggle, Elaine Dennison
    Archives of Osteoporosis.2026;[Epub]     CrossRef
  • Associations among hedonic hunger, digital obesity, and type 2 diabetes self-management
    Ayşe Çamli, Aylin Acikgoz Pinar, Merve Terzi
    Frontiers in Nutrition.2026;[Epub]     CrossRef
  • Posture–environment design promotes executive function and gaming performance during esports play
    Takashi Matsui, Yuji Mine, Shion Takahashi, Daisuke Funabashi, Seiji Yoshitake, Hiroki Matsuoka, Takafumi Yamaguchi, Yukina Tachibana, Shohei Dobashi, Yosuke Sakairi, Hisashi Yoshimoto, Hideki Takagi, Mai Morita, Akiyoshi Shiodera, Ayumi Mineno, Haruyuki
    Computers in Human Behavior Reports.2026; 24: 101325.     CrossRef
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    Dmitry Onishchenko, Viktor Bolshakov, Yan Bravyy, Alexander Kirsanov, Maxim Baltin, Dmitry Savin
    Journal of Electronic Gaming and Esports.2025;[Epub]     CrossRef
  • Association between screen time and overweight/obesity: A meta-analysis of 393,743 women from 36 low- and middle-income countries
    Abdur Rahman, Khorshed Alam, Benojir Ahammed
    Public Health.2025; 248: 105955.     CrossRef
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    Yu. P. Luts, S. V. Fedorchuk, T. M. Oliinyk, T. V. Kutsenko
    Bulletin of Problems Biology and Medicine.2025; 1(1): 507.     CrossRef
  • Digital dilemmas and existing recommendations for healthy screen time use for children and adolescents
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    Asian Journal of Psychiatry.2024; 99: 104154.     CrossRef
  • The global burden of overweight-obesity and its association with economic status, benefiting from STEPs survey of WHO member states: A meta-analysis
    A.N.M. Shamsul Islam, Hafiza Sultana, Md. Nazmul Hassan Refat, Zaki Farhana, Anton Abdulbasah Kamil, Mohammad Meshbahur Rahman
    Preventive Medicine Reports.2024; 46: 102882.     CrossRef
  • Relationship of work-related and leisure-based screen time with obesity: a cross-sectional study on adults including older adults
    Hana Wakasa, Takashi Kimura, Takumi Hirata, Akiko Tamakoshi
    Endocrine.2024; 87(1): 170.     CrossRef
  • The Egyptian 24-h movement guidelines for children and adolescents: an integration of physical activity, sedentary behaviour, sleep and eating habits—by the Egyptian Academy of Bone and Muscle health
    Y. El Miedany, Hala Lotfy, Laila A.G. Hegazy, Maha Elgaafary, Safaa Mahran, Susan Plummer, Walaa Elwakil
    Egyptian Rheumatology and Rehabilitation.2024;[Epub]     CrossRef
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    Elora Fournier, Edyta Łuszczki, Laurie Isacco, Emilie Chanséaume-Bussiere, Céline Gryson, Claire Chambrier, Vicky Drapeau, Jean-Philippe Chaput, David Thivel
    Nutrients.2023; 15(9): 2109.     CrossRef
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    Ana Yibby Forero , Gina Emely Morales , Luis Carlos Forero
    Biomédica.2023; 43(Sp. 3): 99.     CrossRef
  • Assessment of the Lifestyle Changes Experienced by Dental Professionals before and during COVID-19 Lockdown: A Comparative Pilot Study
    Baby John, Vinola Duraisamy, Diana Prem, Balamanikandasrinivasan Chandrasekaran
    World Journal of Dentistry.2022; 13(6): 658.     CrossRef
  • Demographic, Anthropometric and Food Behavior Data towards Healthy Eating in Romania
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    Foods.2021; 10(3): 487.     CrossRef
  • Some eating habits and physical activity of players performing in e-sports
    D. B. Nikitjuk, I. V. Kobelkova, M. M. Korosteleva
    Sports medicine: research and practice.2021; 11(3): 57.     CrossRef
  • Association of total sedentary behaviour and television viewing with risk of overweight/obesity, type 2 diabetes and hypertension: A dose–response meta‐analysis
    Chunmei Guo, Qionggui Zhou, Dongdong Zhang, Pei Qin, Quanman Li, Gang Tian, Dechen Liu, Xu Chen, Leilei Liu, Feiyan Liu, Cheng Cheng, Ranran Qie, Minghui Han, Shengbing Huang, Xiaoyan Wu, Yang Zhao, Yongcheng Ren, Ming Zhang, Yu Liu, Dongsheng Hu
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    Kyungho Ha, YoonJu Song
    Nutrients.2019; 11(10): 2437.     CrossRef
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  • Crossref

Brief Report

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
DOI: https://doi.org/10.24171/j.phrp.2017.8.4.10
<sec><title>Objectives</title><p>Lyme disease is the most common tick-borne disease. People seek health information on Lyme disease from YouTube<sup>TM</sup> videos. In this study, we investigated if the contents of Lyme disease-related YouTube<sup>TM</sup> videos varied by their sources.</p></sec><sec><title>Methods</title><p>Most viewed English YouTube<sup>TM</sup> videos (n = 100) were identified and manually coded for contents and sources.</p></sec><sec><title>Results</title><p>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).</p></sec><sec><title>Conclusion</title><p>A majority of the most popular Lyme disease-related YouTube<sup>TM</sup> videos were not created by public health professionals. Responsible reporting and creative video-making facilitate Lyme disease education. Partnership with YouTube<sup>TM</sup> celebrities to co-develop educational videos may be a future direction.</p></sec>

Citations

Citations to this article as recorded by  Crossref logo
  • Evaluation of Quality of Videos About MRONJ on YouTube™
    Ezgi Tuncay, Hümeyra Yazar
    ADO Klinik Bilimler Dergisi.2025; 14(2): 84.     CrossRef
  • Identifying Trusted Sources of Lyme Disease Prevention Information Among Internet Users Connected to Academic Public Health Resources: Internet-Based Survey Study
    Heather L Kopsco, Rayda K Krell, Thomas N Mather, Neeta P Connally
    JMIR Formative Research.2023; 7: e43516.     CrossRef
  • Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis
    Elda Kokoe Elolo Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Wee Yi Lee, Yijun Yin, Bouchra R Nasri
    Journal of Medical Internet Research.2023; 25: e47014.     CrossRef
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    Joshua P Tanner, Courtney Takats, Hannah Stuart Lathan, Amy Kwan, Rachel Wormer, Diana Romero, Heidi E Jones
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  • Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter
    Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri
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    Heather L Kopsco, Roland J Duhaime, Thomas N Mather, Holly Gaff
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    Journal of Medical Entomology.2021; 58(2): 857.     CrossRef
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  • 9,330 View
  • 49 Download
  • 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
DOI: https://doi.org/10.1016/j.phrp.2013.06.005
Objectives
The purpose of this study was to ascertain the influence of media communication on risk behavior related to mad cow disease (MCD).
Methods
Mothers of elementary school students in Seoul were recruited as the survey participants of this study.
Results
Media reports affected risk behavior related to MCD. Also, knowledge and attitude toward MCD affects risk behavior.
Conclusion
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.

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