Nugrahani, Marshanda Rimadita
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Journal : Journal of Health Literacy and Qualitative Research

Health Literacy and Infectious Disease Control: Community, Policy, and Digital Strategies for Prevention and Management Febriani, Isyfi Salwa; Nugrahani, Marshanda Rimadita
Journal of Health Literacy and Qualitative Research Vol. 2 No. 1 (2022): March 2022
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/jhlqr.v2i1.536

Abstract

Health literacy is a fundamental determinant of infectious disease prevention and management, influencing individuals' ability to access, understand, and utilize health information effectively. This study systematically reviews the impact of health literacy on disease prevention behaviors, treatment adherence, and healthcare accessibility. A comprehensive literature search was conducted across major academic databases, including PubMed, Scopus, and Google Scholar, focusing on peer-reviewed studies published in the past decade. Findings indicate that higher health literacy levels are associated with improved compliance with preventive measures, such as vaccination and hygiene practices, while lower literacy levels contribute to misinformation susceptibility and inadequate healthcare utilization. Community-based interventions, educational policies, and digital health strategies have demonstrated significant effectiveness in enhancing health literacy, particularly in vulnerable populations. However, disparities persist due to socioeconomic barriers, limited access to digital resources, and inconsistent policy implementation across different healthcare systems. Addressing these challenges requires multi-sectoral collaboration, increased investment in public health education, and the integration of digital literacy initiatives. Future research should explore innovative approaches, such as artificial intelligence-driven health education tools, to further improve accessibility and engagement. Strengthening health literacy remains a vital strategy in enhancing global health resilience and reducing the burden of infectious diseases.
Social Media, Health Misinformation, and Literacy: A Narrative Review of Challenges and Solutions Nugrahani, Marshanda Rimadita
Journal of Health Literacy and Qualitative Research Vol. 2 No. 2 (2022): September 2022
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/jhlqr.v2i2.545

Abstract

Health misinformation on social media has become a pressing public health challenge, particularly among individuals with low digital health literacy. This study examines the relationship between digital health literacy and the spread of misinformation, analyzing systemic factors that contribute to the persistence of misleading health content. A systematic literature review was conducted using academic databases such as PubMed, Scopus, and Google Scholar, with a focus on peer-reviewed studies published in the past decade. The review identifies key demographic, social, and economic determinants influencing digital health literacy and explores the role of social media platforms in misinformation dissemination. Findings reveal that individuals with limited digital health literacy struggle to critically evaluate health-related content, making them more vulnerable to misinformation. Systemic factors, including weak regulatory oversight and social media algorithms prioritizing engagement-driven content, further facilitate the spread of misleading health information. Effective interventions, such as digital literacy education, peer-led initiatives, and collaboration between social media platforms and public health organizations, are crucial in mitigating misinformation. The study highlights the need for targeted policy reforms, improved algorithmic transparency, and community-based health education to enhance digital health literacy and misinformation resilience. Future research should focus on the long-term efficacy of digital health literacy interventions and explore AI-driven solutions for misinformation detection.