Infodemiology and Digital Health Surveillance

Infodemiology is the study of the distribution and determinants of information in electronic media, particularly the internet, with the aim of informing public health and policy decisions. It leverages digital trace data—such as search engine queries, social media posts and mobile app activity—to gauge population interests, behaviours and emerging concerns. Digital health surveillance builds on these principles by employing real-time data analytics to monitor disease outbreaks, track health-related attitudes and evaluate the impact of interventions. Together, these approaches offer rapid, cost-effective insights that complement traditional epidemiological methods, enabling early detection of epidemics, assessment of public health campaigns and identification of misinformation spread. Critical challenges include ensuring the representativeness of online data, accounting for demographic and geographic biases, and developing robust methodological frameworks. Ethical considerations around data privacy and transparency are paramount. As internet penetration and smartphone usage expand globally, infodemiology and digital surveillance are poised to play an increasingly central role in guiding health policy, allocating resources and tailoring communication strategies in diverse settings.

Research from Nature Portfolio

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Infodemiology and Digital Health Surveillance publication trend

The graph below shows the total number of articles in infodemiology and digital health surveillance across all publications each year (not limited to Nature Index journals).

Technical terms

Infodemiology: The science of analysing online information patterns to understand public health concerns and behaviours.

Infoveillance: Continuous surveillance of web-based data streams to detect and monitor health-related events in real time.

Digital Health Surveillance: The use of digital technologies and data analytics to observe, predict and respond to public health trends and outbreaks.

Relative Search Volume (RSV): A normalised metric provided by search platforms indicating the proportion of queries for specific terms over time and across regions.

Digital Trace Data: Records of user interactions with online platforms (searches, posts, clicks) that serve as proxies for population-level information seeking and sentiment.

References

1. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research (2020).
2. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance (2019).
3. Public interest trends for Covid-19 and alignment with the disease trajectory: A time-series analysis of national-level data. PLOS Digital Health (2023).