Social media aids malaria fight but rarely reaches health outcomes, review finds

Social media has become a fixture of malaria control efforts, from WeChat campaigns aimed at Chinese workers abroad to infodemic monitoring teams tracking vaccine rumours across Africa, but a new scoping review concludes that the field still cannot show most of this digital activity actually improves malaria outcomes. The review, published in Frontiers in Public Health, mapped 30 studies published between 2016 and 2026 and found that while platforms such as Twitter/X and Facebook dominate the evidence base, only two studies demonstrated malaria-related health outcomes, and only two more demonstrated behavioral change.

The analysis was conducted by Xun Zheng of the School of Media and Communication at Shanghai Jiao Tong University and Gelin Huang of the School of Humanities at Wenzhou University, who followed the PRISMA-ScR reporting guideline and registered their protocol with the Open Science Framework. They searched PubMed/MEDLINE, Web of Science, Scopus, CINAHL, and Embase from database inception through 31 July 2026, including a follow-up search covering February through July 2026, and screened 214 records down to 89 unique studies, then to 42 for full-text assessment, and finally to 30 included studies. Eight reports were excluded at the full-text stage because social media was only contextual or descriptive, its independent contribution could not be determined, the proposed application had not been evaluated, or malaria-specific evidence could not be extracted.

Geographically, the evidence skews heavily toward Africa, with 18 of the 30 studies originating from African settings including Niger, Ghana, Cameroon, Malawi, Kenya, Togo, Nigeria, Uganda, and Senegal, alongside multi-country African initiatives. Eight studies were global or international in scope, three came from China, and one evaluated a social media intervention in India. Twitter/X appeared in 36.7 percent of studies and Facebook in 33.3 percent, with Instagram in four evidence units, WeChat, WhatsApp, and TikTok in three each, YouTube and blogs in two each, and Sina Weibo in one. Several programs adopted multiplatform approaches, so platform frequencies were not mutually exclusive.

Health education and behavior-change communication emerged as the most common primary social media role, accounting for 10 of 30 studies, or 33.3 percent, while misinformation and risk communication accounted for 23.3 percent. A randomized intervention among 1,441 Chinese expatriates in Niger demonstrated improvements in malaria-related knowledge, attitudes, practices, and health literacy following delivery of malaria information through WeChat. A subsequent Chinese study targeting timber-industry personnel working overseas similarly reported improved malaria knowledge following WeChat publicity, while a National Malaria Day WeChat campaign attracted more than 13,000 questionnaire responses and substantially increased the participating public account’s followers.

At the other end of the engagement-to-action pathway, the review classified each study by its highest demonstrated level of public health action. Twelve studies, or 40 percent, generated public health intelligence through social listening, surveillance, sentiment analysis, network analysis, spatial monitoring, or infodemic intelligence. Ten studies, or 33.3 percent, primarily addressed reach, engagement, or knowledge outcomes. Four studies, or 13.3 percent, demonstrated translation into program action or risk response. Only two studies, or 6.7 percent, demonstrated behavioral outcomes, and two, also 6.7 percent, reached malaria-related health outcomes.

The intelligence-generating studies illustrate what social media can currently contribute. Fung and colleagues mapped malaria topics and stakeholder priorities in global health discourse on Twitter/X in 2017, while Lopreite and colleagues used social-network analysis in 2021 to map organizational connectivity and mobilisation potential among malaria organizations. Bornmann and colleagues assessed geographic alignment of social media attention and malaria burden using 69,420 malaria-paper tweets with location data in 2020. Ellis and Reichel characterized topics, sentiment, and hashtag trends in parasitology tweets in 2023, and Ong and Ahmad demonstrated disease-topic and sentiment analytics on 6,263 cleaned tweets about mosquito-borne diseases including malaria in 2024. Tahir and Mehmood identified temporal and spatial disease signals across 271 million tweets overall covering malaria among epidemic-prone diseases.

Vaccine communication has become a particularly active frontier. Sentiment analysis of RTS, S-related posts from Cameroon revealed a divided online response, with 42 percent negative, 40 percent positive, and 18 percent neutral sentiment. Qualitative evidence from Ghana and a multi-country study spanning Ghana, Kenya, and Malawi documented misinformation disseminated through social media channels containing rumours concerning vaccine safety, infertility, death, and experimentation, which contributed to caregiver concerns and vaccine refusals. Reports from 2023 to 2025 documented misinformation surrounding R21 and RTS, S across Ghana, Nigeria, South Africa, South Sudan, Togo, Kenya, and other African settings, including distrust of vaccine development, concerns about experimentation, false claims about vaccine technologies, and cross-border circulation of misleading content.

The authors argue that the central challenge is translating social media engagement into actionable public health intelligence, which they define as information obtained through social media engagement that provides insight relevant to malaria surveillance, community perceptions, information needs, misinformation, behaviors, or program response. They caution that views, likes, shares, comments, and even improvements in knowledge should not automatically be interpreted as evidence of public health impact. The evidence base, they note, is currently concentrated in the first three stages of a pathway running from engagement and communication through public health intelligence to behavioral change and health impact, leaving the final stages thinly documented.

Several methodological limitations constrain the current evidence. Much of the literature relied on observational designs, program reports, platform analytics, or cross-sectional assessments, limiting causal inference about whether social media exposure itself produced improvements in malaria prevention or control. Even where behavioral or health changes were reported, the independent contribution of social media may be difficult to distinguish from concurrent activities. Social media users do not necessarily represent the population most affected by malaria, and publicly accessible data may overrepresent highly active users while underrepresenting individuals communicating through private or encrypted channels. Algorithms governing content visibility, automated accounts, coordinated campaigns, and repeated posting may also distort apparent levels of public concern. The review did not undertake formal critical appraisal of methodological quality, consistent with scoping review practice, and did not calculate a formal measure of intercoder reliability.

The authors conclude that social media should be integrated as a complementary component of surveillance rather than considered a stand-alone elimination intervention, functioning as a bridge between communities, information systems, and public health response rather than a substitute for established surveillance and health-system infrastructure. They identify priorities for future research including stronger causal evaluation through randomized digital interventions, cluster-randomized designs, controlled before-and-after studies, interrupted time-series analyses, and natural experiments, alongside greater attention to equity and representativeness, standardization of social listening methodologies, and economic evaluations of whether social media interventions are cost-effective and sustainable on a program scale.

Subject of Research: The role of social media across the malaria elimination continuum and the gap between online engagement and demonstrated public health action.

Article Title: From social media engagement to public health action: the role of social media in sustainable malaria elimination

Article References: Zheng, X., & Huang, G. (2026). From social media engagement to public health action: the role of social media in sustainable malaria elimination. Frontiers in Public Health, 14, Article 1987769. https://doi.org/10.3389/fpubh.2026.1987769

Image Credits: AI Generated

DOI: 10.3389/fpubh.2026.1987769

Keywords: malaria, social media, scoping review, public health surveillance, misinformation, vaccine communication, health education, behavior change, infodemic, malaria elimination, digital health, Africa