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Fighting medical misinformation and disinformation: Intervention opportunities for the future-A critical review
*Corresponding author: Dr Prem Aggarwal, MD (Medicine), DNB (Cardiology), Cardiologist, Co-founder and Chairman, Medical Dialogues, New Delhi, India. drprem@medicaldialogues.in
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Received: ,
Accepted: ,
How to cite this article: Singhania MA, Kohli KK, Aggarwal P. Fighting medical misinformation and disinformation: Intervention opportunities for the future-A critical review. Ann Natl Acad Med Sci (India). 2025;61:321-8. doi: 10.25259/ANAMS_172_2025
Abstract
The rapid spread of medical misinformation and disinformation, also called an infodemic, presents a serious challenge to public health, resulting in adverse outcomes such as vaccine hesitancy and distrust in the healthcare system. Addressing this misinformation crisis requires interdisciplinary teamwork involving various stakeholders, including healthcare professionals (HCPs), medical journalists, the general public, effective policies, and digital tools to combat misinformation. This review examines strategies to combat medical misinformation and disinformation, with a focus on global and Indian frameworks and policy recommendations. A literature search was conducted using PubMed, and relevant reviews were selected for inclusion in this analysis. Key interventions include media literacy programs, fact-checking efforts, regulatory policies, the critical roles of HCPs, and collaboration with specialized medical news platforms, staffed by skilled medical journalists in providing evidence-based medical information. Several models propose a multi-level prevention approach covering primordial, primary, secondary, and tertiary levels to address misinformation proactively. Future efforts should focus on strengthening ethical communication policies, integrating media literacy programs into medical curricula, launching awareness campaigns for the general public, and utilizing artificial intelligence (AI) for early infodemic detection.
Keywords
Data journalism
Disinformation
False news
Infodemic
Misinformation
Scientific journalism
INTRODUCTION
Background
Online medical misinformation (infodemics) significantly impacts human life, affecting self-care choices and patient-healthcare-provider interactions. Online health information (OHI) enhances confidence, health literacy, and self-efficacy; however, challenges remain in ensuring the reliability of this information. Individuals seek OHI for diagnostic details and emotional support.1 We live in an era overwhelmed by medical misinformation, with social media playing a key role in disseminating health information on health-related topics, including vaccination, chronic disease, and nutrition.2 This necessitates an understanding of how demographic and belief systems contribute to the spread of misinformation. The Lancet's editorial emphasized that addressing medical misinformation requires addressing algorithmic manipulation.3 Although artificial intelligence (AI) can identify unscientific materials, it cannot replace fact-checking or source verification.3 The Global Risks Report 2024 identified AI-driven misinformation and societal polarization as key concerns and advocated international collaboration against emerging risks.4
Gaps in knowledge
Combating infodemics requires identifying sources and susceptible populations and countering false information with credible information. Public health messaging must be accurate while acknowledging uncertainties. Medical fraternities play a crucial role in combating health misinformation in India.3 The coronavirus-2019 (COVID-19) State of Vaccine Confidence Insight Reporting System serves as a public health information and infodemic surveillance system.5 These systems monitor the landscape of medical information and detect infodemic events. In our interconnected world, developing systems for timely intervention against epidemics and infodemics is crucial.5 COVID-19 setbacks have highlighted how misinformation can lead to infection and distrust among the public. Information gaps are often filled with false content by disinformation propagators. Medical misinformation in digital landscapes poses a significant risk to public health. Despite efforts to address misinformation, current strategies require reassessment and improvement. We hypothesized that medical misinformation affects national security and necessitates coordination. There is a lack of analysis on effective interventions to promote accurate medical information, and understanding trustworthy information remains limited.
Aim of the review
This narrative review with a critical perspective analyses the evidence on managing infodemics, evaluates global and Indian interventions, examines the roles of stakeholders, and proposes suggestions to reduce the effects of infodemics in digital India.
METHODOLOGY
Definitions
The World Health Organization (WHO) defines “misinformation” as the spread of false information without the intent to mislead, and “disinformation” as information that is designed or spread with full knowledge of being false (information has been manipulated) as part of an intention to deceive and cause harm.6 The WHO defines an infodemic as the excessive dissemination of information in both digital and physical environments during a disease outbreak.7
Search strategy
The PubMed and Google Scholar databases were systematically searched using relevant keywords. The search combined Medical Subject Headings (MeSH) terms with keywords like “medical misinformation,” “health disinformation,” “infodemics,” “fact-checking,” and “intervention strategies.” The Boolean operators AND, OR, and NOT were used to refine the search strategies. As the topic was novel, rather than following a strict systematic review protocol, we purposefully selected studies published in English between March 2019 and March 2025 based on their relevance to key themes such as global strategies, conceptual models, AI-based interventions, ethical considerations, the role of healthcare professionals (HCPs) and medical journalists, and the impact of media literacy to offer a multidisciplinary perspective on infodemic management.
Data extraction
Two independent researchers manually extracted data from the selected studies to ensure their accuracy and consistency. Any discrepancies in data extraction were resolved through discussion and consensus. Given the narrative nature of this review, a structured data extraction form was not used; However, efforts were made to comprehensively capture relevant details.
Data analysis
As this was a narrative review with a critical perspective, the qualitative synthesis identified recurring themes, intervention strategies, and common frameworks across the studies. No statistical or meta-analytical methods were used because the emphasis was on summarizing and contextualizing the existing literature rather than quantitatively comparing the outcomes.
RESULTS
The synthesis of the literature identified key thematic areas that encompass important frameworks, institutional strategies, AI tools, ethical practices, strategic advice, and stakeholder roles in addressing health misinformation and disinformation (infodemics) published between March 2019 and March 2025.
Efforts by national and international organizations in combating infodemics
Johns Hopkins University created a national plan with four pillars to stop public health misinformation [Figure 1].

- Global and National strategies to combat infodemics. Figure recreated from references 8–13. WHO: World Health Organization, UN: United Nations, UNESCO: United Nations Educational, Scientific, and Cultural Organization, HCP: Health Care Professionals/Providers.
Pillar 1: Intervene against false content by establishing a multi-agency security response and national commission to provide evidence-based guidance.8
Pillar 2: Promote actual information by prioritizing public health communication at all government levels through increased staffing and funding.8
Pillar 3: Increase public resilience through health literacy in schools and communities while developing fact-checking infrastructure.8
Pillar 4: Enable multisector collaboration in strategy development with stakeholders from the media, government, security, public health, and key agencies, including the Department of Defense, the Department of Health and Human Services, the National Security Agency, and the Central Intelligence Agency8 [Figure 1].
International organizations
The WHO launched an “international infodemiology program” similar to disease epidemiology. Like diseases, infodemics and their spread need attention to find solutions.9 In 2020, the WHO established “Fides,” a social media network of HCPs, to combat misinformation and support evidence-based health decisions.10 The United Nations (UN) and the United Nations Educational, Scientific and Cultural Organization (UNESCO) noted that the “infodemic points to a toxic dis-infodemic.”11 [Figure 1].
National efforts - India
This infodemic poses a significant challenge to health journalism in India, as social media messages often originate from unverified sources. Data scientists analyze these messages using machine learning techniques12 [Figure 1].
Balancing content quality and access pool in the digital town
Nan et al. (2023) proposed tackling health misinformation through supply and demand strategies. Supply-side efforts involve collective action from platforms, scientists, health professionals, and policymakers to reduce misinformation.13 Demand-side interventions aim to reduce public susceptibility through evidence-based methods and effective health communication13 [Figure 1].
Proposed models for combating infodemics
In 2024, Ishizumi et al. (2024) proposed a framework that incorporates upstream strategies and intervention guidance across four levels of public health prevention: primary, secondary, tertiary, and primordial. Based on a narrative review of 54 documents (including peer-reviewed and gray literature from 1961 to 2023), they provided examples for each prevention level.14 Similarly, Gupta et al. (2022) proposed a multimodal approach that incorporates user awareness, government legislation, and platform checks, such as user verification and news services endorsed by credible agencies, which can help manage infodemics15 [Figure 2].

- Proposed strategy for fighting infodemic. Figure recreated from Ishizumi et al. and Gupta et al. DB-Dainik Bhaskar, RSS-Really simple syndication
Role of the medical fraternity and healthcare communication stakeholders in combating infodemics
Medical journalists play a crucial role in interpreting scientific findings and communicating them clearly to counter misinformation and disinformation.16 They serve as a bridge between scientists and the public, ensuring that complex findings are communicated clearly and understandably. Collaboration among data journalists, scientists, decision-makers, and the public improves science communication.16 In India, family physicians serve as the primary gatekeepers for health and guide communities during infodemics by correcting health misinformation on social media platforms. A previous study by Bautista et al. (2021) presented a two-phase model: authentication through verifying posts and authors, followed by preparing and disseminating corrections.17 The U.S. The Surgeon General recommends engaging with patients by understanding their beliefs, correcting misinformation, promoting health literacy, sharing accurate information through professional associations, and partnering with community groups to deliver targeted messages.18 Media literacy refers to the ability to evaluate information and distinguish between harmful and beneficial content critically. Berger et al. (2025) demonstrated that fact-checking is only effective for specific corrections, whereas media literacy helps differentiate between fake and factual information more broadly. Media literacy enables critical evaluation, whereas fact-checking makes users passive recipients19 [Figure 3].

- Role of HCPs/Doctors, media literacy, and medical journalists in combating infodemics. Figure recreated from references 16–19. HCPs-Healthcare professionals.
DISCUSSION
This review examined studies on managing infodemics, with an emphasis on the impact of medical misinformation despite fact-checking efforts and awareness campaigns. The literature suggests strategies for enhancing media literacy, implementing corrective measures, and promoting community engagement. Most interventions currently focus on addressing medical misinformation after it has spread. A key research gap is the lack of interdisciplinary collaboration among health authorities, technologists, policymakers, and scientists. Health authorities are encouraged to adopt integrated infodemic management approaches that focus on building trust and maintaining ethical standards while collaborating with credible media outlets. Investing in the development of an infodemic communication workforce and establishing an ethical framework for platform accountability are essential. Promoting digital media literacy training and critical thinking early in education is crucial for strengthening resilience to misinformation.
The Johns Hopkins “four-pillar framework” demonstrates a comprehensive national response grounded in intersectoral collaboration; we hypothesize that most global strategies continue to function in isolation, highlighting a deficiency in integrated governance for infodemic management.8 The WHO's “international infodemiology program” and “Fides initiative” signify a transition towards proactive digital surveillance. Fides aims to share the WHO's science-based messages and fight misinformation by targeting false information sources and collaborating with social media companies.9,10 National initiatives, especially in India, demonstrate potential but are impeded by infrastructural deficiencies, inadequate training, and fragmented media ecosystems.12 Similarly, Taguchi et al. (2023) highlighted the “Pandemic Accord's” provisions for infodemic control, calling for evidence-informed global strategies.20 However, empirical evidence regarding the efficacy of implementing these initiatives, particularly in low- and middle-income countries, remains scarce.
Among the proposed models, Ishizumi et al. (2024) proposed a prevention-level model for managing infodemics through upstream public health strategies, whereas Gupta et al. (2022) presented a multimodal model combining user awareness, regulation, and platform accountability.14,15 Similarly, Sundelson et al.'s (2023) 4-I Framework for Advancing Communication and Trust characterizes infodemic interventions across four levels: informational, individual, interpersonal, and institutional.21 These models suggest that, beyond content moderation, interventions must also address public perception, beliefs, and institutional credibility, aligning with Pool et al.'s (2021) view of misinformation as a combination of technological and sociocultural issues.22
Raj and Meel proposed an Allied Recurrent and Convolutional Neural Network (ARCNN) deep learning framework that integrates text and visual data for the detection of misinformation. This multimodal model utilizes AI to detect health misinformation on social media, resulting in a 30–50% improvement in performance.23 Digital health tools have become crucial in combating medical misinformation during the COVID-19 pandemic. India's Aarogya Setu and telemedicine platforms enabled contact tracing and increased public awareness.24 However, success requires community participation and digital literacy to counter infodemics. Chiou et al. (2022) emphasize infodemic surveillance infrastructure, with the Centre for Disease Control Vaccine Confidence System demonstrating how digital analytics can detect misinformation.5 While Aarogya Setu was widely downloaded, digital health interventions require integration into broader public health systems to achieve an impact.24 As digital technologies become increasingly embedded in public health responses, ethical considerations surrounding privacy and data use are becoming increasingly important. Lotto et al. (2023) called for guidelines for the ethical use of social media data in misinformation studies. The principles of beneficence, non-maleficence, autonomy, equity, and efficiency can guide public health authorities and researchers in social media ethics during infodemic events.25 These approaches demonstrate that addressing health misinformation necessitates the integration of technology, public health systems, community involvement, and responsible use of data.
HCPs and medical journalists are key agents in addressing misinformation. Despite their influence, the review reveals a lack of structured support and media literacy training for both groups to address misinformation effectively. Medical journalism is crucial during public health emergencies because it promotes transparency and public engagement, facilitating effective communication of research findings.16 Sharma et al. (2020) emphasized that the media, along with medical journalists, play a crucial role as a pillar of democracy, educating the public through accurate and unbiased health reporting, especially given India's burden of communicable and noncommunicable diseases.26 Thus, improving the quality and quantity of health news is essential. Similarly, Blankenship et al. (2021) stressed that HCPs must actively counter misinformation during health crises. By leveraging their local influence and patient trust, they can serve as reliable sources of timely and evidence-based information.27 Systematically training HCPs to address patient-held misinformation with empathy and curiosity, acknowledging time and resource constraints, will be a crucial contribution to fighting medical misinformation.28
In India, 752 million people use the Internet, with 71% seeking healthcare information.29 Media literacy enables individuals to evaluate information sources and navigate complex media landscapes critically. Evidence shows that literacy programs enhance critical thinking and help counter biases. Individuals with media literacy training tend to share less false information than those without it.16 A review by Obasi et al. (2025) outlined best practices in media literacy curricula, including interactive learning, real-world case studies, and collaborative discussions. Educational institutions should incorporate media literacy initiatives, particularly given the rapid dissemination of misinformation through digital channels.30 Medical curricula should address misinformation using tools such as ChatGPT and case-based scenarios. Early exposure to medical misinformation helps rebuild physician-patient trust and combat community misinformation.31
Thus, medical misinformation remains a persistent threat despite efforts to fact-check it. Current interventions are primarily reactive and lack collaboration among health authorities, technology experts, and policymakers. The models by Ishizumi et al.14 (2024) Gupta et al.15 (2022) and Sundelson et al.21 (2023) highlight multi-level strategies, whereas AI tools, such as ARCNN, enhance detection. Digital health tools are promising but require better integration into public health systems. Ethical concerns regarding data privacy are vital for managing infodemics. HCPs and medical journalists require structured training in media literacy. Media literacy education in medical schools can enhance critical thinking and reduce the dissemination of misinformation.
Key Message
Effective infodemic management requires a coordinated, multi-level approach involving global frameworks, national strategies, and community-based efforts.
HCPs, medical journalists, and media literacy education play crucial roles in translating evidence and correcting misinformation.
The proposed integrated framework combines policy measures, AI-driven detection, public education, and trust-building strategies at both the systemic and individual levels.
Transparent communication through verified medical news platforms is key to combating misinformation and encouraging public participation in health decisions.
Strengths and limitations
This review synthesizes key infodemic management strategies for combating medical misinformation and disinformation, including surveillance, AI interventions, and fact-checking mechanisms based on various frameworks and reviews. However, this review has some limitations. Most of the included studies were from high-income countries, with limited data from low- and middle-income countries, including India. Despite the substantial burden of medical misinformation during public health crises, research on infodemic management in India is limited. Future research should focus on real-world evaluations of the proposed frameworks, particularly in underserved regions, and develop culturally competent India-centric frameworks to improve infodemic preparedness. Additionally, research should examine Knowledge, Attitude, and Perception assessments among the general public, HCPs, and medical journalists to better inform India-specific strategies for controlling infodemics.
CONCLUSION
Addressing medical misinformation remains a persistent challenge that undermines public health efforts, particularly in low- and middle-income countries. Existing interventions are largely reactive, with a limited focus on prevention or early detection. A significant barrier is the lack of integrated governance and collaboration among key stakeholders, including health authorities, technology developers, policymakers, and the media, which results in fragmented responses. Although promising models and digital tools offer potential, their impact is often limited by poor system integration and low digital literacy among users. Verified medical news platforms and trained medical journalists, working alongside HCPs, communicate complex data clearly, serving as trusted sources of information. Ethical considerations must guide infodemic responses, particularly regarding social media use and platform accountability. Strengthening the roles of HCPs and medical journalists, alongside investment in structured media literacy training, is crucial for building long-term resilience against health misinformation
Acknowledgments
The authors thank Dr. Rohini Sharma and Dr. Jeegar P. Dattani from the Medical Dialogues team for their support with data analysis, manuscript writing, reviewing, and editing.
Authors' contributions
MAS, KKK and PA: Concept and design, acquisition, literature review, analysis, or interpretation of data, drafting of the manuscript, critical review of the manuscript for important intellectual content; PA: Supervision. All authors have reviewed the final version to be published and agreed to be accountable for all aspects of the work. All authors have contributed equally.
Ethical approval
Institutional Review Board approval is not required.
Declaration of patient consent
Patient's consent not required as there are no patients in this study.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
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