ArticleNPJ digital medicine2021
Digital public health surveillance: a systematic scoping review.
Article in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Exploring the relationship between social media dependence and internet addiction among college students from a bibliometric perspective.Frontiers in psychology · 2025Pooled it
- Representation of marginalised populations in digital surveillance for notifiable conditions in Australia: a systematic review.Perspectives in public health · 2024Pooled it
- Pooled it
- The Measurement of Dose and Response for Smoking Behavior Change Interventions in the Digital Age: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Exploratory Spatial and Temporal Analysis of the Territorial Coexistence of Undernutrition and Excess Weight Among Children Under Five Years of Age in Peru, 2014-2024.International journal of environmental research and public health · 2026Article
- Leveraging large language models on free-text symptoms from participatory surveillance enhances pertussis forecasting in the United States.BMC infectious diseases · 2026Article
- Digital epidemiology: Utilizing big data for public health surveillance and disease outbreak prediction.Journal of public health research · 2026Review
- Role of Digital Health Technologies and Artificial Intelligence in Modern Public Health Surveillance.Cureus · 2026Review
- Enhancing trustworthiness of Arabic online health information quality evaluation using an enhanced BERT architecture with PCA and ICA feature weighting.Scientific reports · 2026Article
- Realising the digital twin: a thematic review and analysis of the ethical, legal, and social issues for digital twins in healthcare.AI & society · 2026Article
- Scoping review of artificial intelligence via mobile technology and social media for health in Africa.Nature communications · 2025Article
- A bimodal longitudinal investigation on changes in sentiments over social media interactions owing to COVID-19 pandemic.Scientific reports · 2025Article
- A content analysis of religion and HPV vaccine news coverage in Canada.Human vaccines & immunotherapeutics · 2025Article
- Severity Classification of Anxiety and Depression Using Generalized Anxiety Disorder Scale and Patient Health Questionnaire: National Cross-Sectional Study Applying Classification and Regression Tree Models.JMIR public health and surveillance · 2025Article
- Early Warning of Infectious Disease Outbreaks Using Social Media and Digital Data: A Scoping Review.International journal of environmental research and public health · 2025Article
- Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study.JMIR mHealth and uHealth · 2025Observational
- Digital tools and technologies used in food fortification: A scoping review.Annals of the New York Academy of Sciences · 2025Article
- Epidemiological methods in transition: Minimizing biases in classical and digital approaches.PLOS digital health · 2025Review
- Insights from ARCOS-V's Transition to Remote Data Collection during the COVID-19 Pandemic: A Descriptive Study.Neuroepidemiology · 2025Article
- Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional Study.Interactive journal of medical research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The ubiquitous and openly accessible information produced by the public on the Internet has sparked an increasing interest in developing digital public health surveillance (DPHS) systems. We conducted a systematic scoping review in accordance with the PRISMA extension for scoping reviews to consolidate and characterize the existing research on DPHS and identify areas for further research. We used Natural Language Processing and content analysis to define the search strings and searched Global Health, Web of Science, PubMed, and Google Scholar from 2005 to January 2020 for peer-reviewed articles on DPHS, with extensive hand searching. Seven hundred fifty-five articles were included in this review. The studies were from 54 countries and utilized 26 digital platforms to study 208 sub-categories of 49 categories associated with 16 public health surveillance (PHS) themes. Most studies were conducted by researchers from the United States (56%, 426) and dominated by communicable diseases-related topics (25%, 187), followed by behavioural risk factors (17%, 131). While this review discusses the potentials of using Internet-based data as an affordable and instantaneous resource for DPHS, it highlights the paucity of longitudinal studies and the methodological and inherent practical limitations underpinning the successful implementation of a DPHS system. Little work studied Internet users' demographics when developing DPHS systems, and 39% (291) of studies did not stratify their results by geographic region. A clear methodology by which the results of DPHS can be linked to public health action has yet to be established, as only six (0.8%) studies deployed their system into a PHS context.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.