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Impact of Social Media Influencers on Amplifying Positive Public Health Messages

Impact of Social Media Influencers on Amplifying Positive Public Health Messages

While the study found that many social media influencers resisted public health campaigns, especially those regarding COVID-19 vaccine uptake, it also highlighted their capacity to promote vaccine uptake when they are aligned with public health messaging [1].

Gerard Thomas Flaherty, Ryan Michael Mangan

J Med Internet Res 2025;27:e73062

Quantifying Public Engagement With Science and Malinformation on COVID-19 Vaccines: Cross-Sectional Study

Quantifying Public Engagement With Science and Malinformation on COVID-19 Vaccines: Cross-Sectional Study

Vaccines have been a topic of misinformation for centuries [5], with antivaccine propaganda being a leading contributor to declining vaccine uptake worldwide [6], and in 2019, the World Health Organization named vaccine hesitancy a top threat to public health, with COVID-19 vaccines being a recent major focus for an abundance of misinformation [7,8].

David Robert Grimes, David H Gorski

J Med Internet Res 2025;27:e64679

Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study

Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study

Google Bard added that there is no evidence that vaccination at any particular trimester poses a higher risk to the mother or baby and Copilot stated that emphasis should be on vaccine receipt as soon as possible to maximize maternal and fetal health.

Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah

JMIR Form Res 2025;9:e56126

Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies

Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies

In one study, the authors analyzed the content of the posts that talked about the vaccine and categorized them into these categories (provaccine, antivaccine, and neutral). Consequently, they found that the antivaccine posts use the sarcasm method, and some of them come from bots, while the pro-vaccine posts depend on documented information [19]. It is worth noting that over time, trust in the information spread on the internet is affected by the recipient's political affiliation [20].

Adham Kahlawi, Firas Masri, Wasim Ahmed, Josep Vidal-Alaball

J Med Internet Res 2025;27:e58656

Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment

Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment

We selected attributes and levels including: variable cost of vaccine (CNY ¥0; CNY ¥50 [approximately US $7]; or CNY ¥100 [approximately US $14]), variable vaccine effectiveness against infection (20%, 50%, or 80%), variable risk of mild adverse events such as redness, swelling, or pain at the injection site (1%, 3%, or 5%), different vaccination campaign strategies (individual appointment or vaccination in a workplace setting), and different workplace attitudes (no notice or encouragement of vaccination).

Liuren Zhang, Linchen Chu, Maria E Sundaram, Yi Zhou, Xiu Sun, Zheng Wei, Chuanxi Fu

JMIR Public Health Surveill 2025;11:e63314

The Association Between COVID-19 Vaccination Uptake and Information-Seeking Behaviors Using the Internet:  Nationwide Cross-Sectional Study

The Association Between COVID-19 Vaccination Uptake and Information-Seeking Behaviors Using the Internet: Nationwide Cross-Sectional Study

Vaccination against COVID-19 emerged as a pivotal strategy in controlling the virus’s spread, with over 10 billion vaccine doses administered worldwide by the end of 2022 [2]. The pandemic’s toll has been significant, infecting more than 30 million people and resulting in over 70,000 deaths [3]. In addition, 104,736,436 people, or 80.7% of the population, had received their first vaccine dose by this study [4].

Kazuya Taira, Misa Shiomi, Takayo Nakabe, Yuichi Imanaka

J Med Internet Res 2025;27:e59352

Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Contextual lexicons were generated to describe the pediatric population, pregnant population, and vaccine brand. Fuzzy matching detected if these topics were co-occurring with a med DRA PT mention. Soteria: language model powered web app to analyze web content related to COVID-19 vaccine AEs.

Chathuri Daluwatte, Alena Khromava, Yuning Chen, Laurence Serradell, Anne-Laure Chabanon, Anthony Chan-Ou-Teung, Cliona Molony, Juhaeri Juhaeri

JMIR Infodemiology 2024;4:e53424

Wellness Influencer Responses to COVID-19 Vaccines on Social Media: A Longitudinal Observational Study

Wellness Influencer Responses to COVID-19 Vaccines on Social Media: A Longitudinal Observational Study

We then filtered the collected tweets to only those containing a list of vaccine-related keywords and phrases. Our vaccine keyword list was created by combining lists from previously published studies of vaccine-related tweets [45,51]. Tweets were deduplicated before analysis, as some accounts reshared content on multiple days. The distribution of these tweets across the timeline is depicted in Figure 2.

Gabrielle O'Brien, Ronith Ganjigunta, Paramveer S Dhillon

J Med Internet Res 2024;26:e56651

Designing and Validating a Survey for National-Level Data During the COVID-19 Pandemic in Sri Lanka: Cross-Sectional Mobile Phone Surveys

Designing and Validating a Survey for National-Level Data During the COVID-19 Pandemic in Sri Lanka: Cross-Sectional Mobile Phone Surveys

Many of these surveys aim to quantify the impacts of the COVID-19 pandemic as well as populations’ knowledge of COVID-19, engagement in preventive measures, and vaccine acceptance. Mobile phone surveys became the preferred mode of data collection across low- and middle-income countries (LMICs) when face-to-face data collection was paused due to physical distancing measures [14]. The impact of COVID-19 pandemic has varied throughout the country.

Rachael Phadnis, Udara Perera, Veronica Lea, Stacy Davlin, Juliette Lee, Casey Siesel, Dhanushka Abeygunathilaka, S C Wickramasinghe

JMIR Form Res 2024;8:e49708

Association Between Sociodemographic Factors and Vaccine Acceptance for Influenza and SARS-CoV-2 in South Korea: Nationwide Cross-Sectional Study

Association Between Sociodemographic Factors and Vaccine Acceptance for Influenza and SARS-CoV-2 in South Korea: Nationwide Cross-Sectional Study

In contrast, individuals within the age cohort of 19 to 64 years bear the financial responsibility for procuring the influenza vaccine [5]. However, the landscape of vaccine accessibility underwent a profound transformation during the COVID-19 pandemic, caused by the SARS-Co V-2 virus. Influenced by the pandemic, universal access to SARS-Co V-2 vaccines (COVID-19 vaccines) was extended to all demographic strata [6,7].

Seohyun Hong, Yejun Son, Myeongcheol Lee, Jun Hyuk Lee, Jaeyu Park, Hayeon Lee, Elena Dragioti, Guillaume Fond, Laurent Boyer, Guillermo Felipe López Sánchez, Lee Smith, Mark A Tully, Masoud Rahmati, Yong Sung Choi, Young Joo Lee, Seung Geun Yeo, Selin Woo, Dong Keon Yon

JMIR Public Health Surveill 2024;10:e56989