Conference Abstract | Volume 8, Abstract ELIC2025102 (Poster 120) | Published: 06 Aug 2025
Awung Nkeze Elvis1,&, Nyong Harrison Ndukong1, Nsuh Naomi Manka’a1
¹Naomi’s Medical Laboratory, Douala, Cameroon
&Corresponding author: Awung Nkeze Elvis, Naomi’s Medical Laboratory, Douala, Cameroon. Email: awungnkezeelvis@gmail.com
Received: 18 Apr 2025, Accepted: 09 Jul 2025, Published: 06 Aug 2025
Domain: Infectious Disease Epidemiology
Keywords: Outbreak communication, social media analytics, digital risk communication, community engagement, public health, misinformation, sentiment analysis
©Awung Nkeze Elvis et al. Journal of Interventional Epidemiology and Public Health (ISSN: 2664-2824). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article: Awung Nkeze Elvis et al., Enhancing outbreak communication via digital platforms: A social media analytics approach. Journal of Interventional Epidemiology and Public Health. 2025;8(ConfProc5):00264. https://doi.org/10.37432/jieph-confpro5-00264
The COVID-19 pandemic highlighted the transformative role of digital platforms in public health communication, presenting both opportunities and challenges. Effective outbreak communication requires timely dissemination of information, real-time monitoring of public sentiment, and mitigation of misinformation to improve response coordination.
This study conducted a comprehensive literature review and methodological analysis, synthesizing empirical data from past outbreaks including COVID-19, Ebola, and Zika. Techniques such as social media analytics, social listening, and sentiment analysis were examined to assess their utility in enhancing risk communication strategies and community engagement.
Findings indicate that integrating social media analytics into outbreak communication enables adaptive, data-driven approaches that improve information transparency and public trust. Key benefits include real-time monitoring of public sentiment and identification of misinformation trends. Challenges identified include data quality concerns, ethical considerations, and the need for culturally sensitive frameworks to ensure inclusivity.
A multidisciplinary and culturally adaptive communication framework that leverages digital tools can significantly enhance outbreak response efficacy. Emphasizing stakeholder engagement and ethical use of data promotes resilience and preparedness for future health crises, reinforcing the vital role of digital platforms in global health communication.
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