Abstract
ABSTRACT
Background and Aims
Infectious disease dynamics are deeply intertwined with social structures, behaviors, and information systems. This narrative review examines how social factors conceptualized through the integrated lens of “social contagion” within a syndemic framework shape infectious disease patterns from January 2000 to January 2024.
Methods
Literature was retrieved from PubMed, Scopus, Web of Science, and Google Scholar using targeted combinations of terms related to social determinants, networks, communication, and digital epidemiology. Foundational pre‐2000 works were consulted for theoretical grounding. Studies were selected based on their relevance to understanding how social processes influence infectious disease dynamics. The selection process prioritized high‐impact empirical studies, meta‐analyses, and seminal theoretical works that collectively informed the four thematic areas presented. As this is a narrative review, no statistical analyses were performed. The synthesis approach followed established guidelines for narrative reviews.
Results
Four major themes emerged from the synthesis of identified literature: (1) structural and commercial determinants socioeconomic inequality, racism, and commercial practices produce environments where infectious and non‐communicable diseases interact synergistically; (2) network effects household, occupational, and mobility patterns shape transmission pathways and superspreading events; (3) belief systems misinformation, behavioral contagion, and varying levels of institutional trust influence vaccine uptake and protective behaviors; and (4) diagnosis and intervention digital epidemiology and agent‐based models offer tools for integrating social data into disease surveillance and response.
Conclusion
Infectious diseases are fundamentally biosocial phenomena. Effective control requires moving beyond biomedical models toward approaches centered on social epidemiology, equity, and trust‐building. Future research must employ transdisciplinary collaboration to better measure and model the complex interactions that constitute social contagion.