Data-Driven Disease Surveillance
Data-Driven Disease Surveillance is a research topic within Epidemiology. Science Explorer counts 19k research works in it since 1952. 21.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the use of digital data sources such as search engine queries, social media content, and internet usage patterns for disease surveillance, tracking epidemics, and early detection of infectious diseases. It also explores the application of tools like Google Trends and Geographic Information Systems in public health informatics for monitoring and analyzing epidemiological patterns.
- Digital Epidemiology
- Disease Surveillance
- Internet-based Surveillance
- Google Trends
- Social Media Analysis
- Infectious Disease Tracking
- Syndromic Surveillance
- Geographic Information Systems
- Public Health Informatics
- Epidemic Detection
- Research works
- 19k fractional, since 1952
- In the world top 10%
- 4.1k per year above
- Top-10% rate
- 21.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +57% the tick is no change
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead Data-Driven Disease Surveillance research?
By volume, the United States and China publish the most (1.2k and 640 works in 2022–2025).
By volume, 2022–2025
- 1 United States 1.2k works
- 2 China 640 works
- 3 United Kingdom 240 works
- 4 India 213 works
- 5 Germany 159 works
- 6 Canada 153 works
- 7 Brazil 142 works
- 8 Italy 136 works
- 9 Australia 125 works
- 10 France 125 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Data-Driven Disease Surveillance research?
By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Data-Driven Disease Surveillance research, followed by Johns Hopkins University and Centers for Disease Control and Prevention.
By volume, 2022–2025
- 1 University of North Carolina at Chapel HillUnited States 25 works
- 2 Johns Hopkins UniversityUnited States 18 works
- 3 Centers for Disease Control and PreventionUnited States 16 works
- 4 Harvard UniversityUnited States 16 works
- 5 Emory UniversityUnited States 15 works
- 6 University of TorontoCanada 12 works
- 7 Wuhan UniversityChina 12 works
- 8 Peking UniversityChina 12 works
- 9 University of WashingtonUnited States 12 works
- 10 The University of TokyoJapan 12 works
Who are the leading researchers in Data-Driven Disease Surveillance?
The most-cited researchers publishing on Data-Driven Disease Surveillance include Ali H. Mokdad and Yousef Khader.
- 1 Ali H. Mokdad United States 10k citations
- 2 Yousef Khader Jordan 7.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Data-Driven Disease Surveillance research done?
The largest centres of Data-Driven Disease Surveillance research in 2022–2025 are Beijing (China), London (United Kingdom), Atlanta (United States) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Atlanta.
Largest cities, 2022–2025
Where it is the local speciality
- AtlantaUS · 62.5 works6.2×
Location quotient: how much more of its research is in Data-Driven Disease Surveillance than the world average.
Where is the best place to study Data-Driven Disease Surveillance?
Among universities, judged by research, London School of Hygiene & Tropical Medicine, Johns Hopkins University and National University of Defense Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | London School of Hygiene & Tropical MedicineUnited Kingdom | 57.8 | 30.7% | 12.0× | 8 | +32.2% |
| 2 | Johns Hopkins UniversityUnited States | 48.4 | 30.2% | 3.7× | 18 | +46.6% |
| 3 | National University of Defense TechnologyChina | 46.4 | 48.6% | 2.3× | 8 | +148.6% |
| 4 | The University of MelbourneAustralia | 46.3 | 36.3% | 2.0× | 9 | +357.7% |
| 5 | University College LondonUnited Kingdom | 46.0 | 43.6% | 1.7× | 10 | +66.0% |
| 6 | University of Maryland, College ParkUnited States | 45.2 | 39.4% | 3.7× | 9 | +93.3% |
| 7 | Wuhan UniversityChina | 44.0 | 26.7% | 2.2× | 12 | +269.7% |
| 8 | Emory UniversityUnited States | 40.4 | 21.5% | 4.9× | 15 | +27.2% |
| 9 | University of OxfordUnited Kingdom | 39.2 | 26.5% | 2.0× | 12 | +99.6% |
| 10 | Harvard UniversityUnited States | 37.6 | 21.9% | 2.8× | 16 | +12.1% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Data-Driven Disease Surveillance research growing?
Output in 2018–2022 was 57% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Data-Driven Disease Surveillance.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.