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Topic · Epidemiology

Data-Driven Disease Surveillance

Data-Driven Disease Surveillance is a research topic within Epidemiology. Science Explorer counts 19k research works in it since 1952. 10.2% 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%
2k
per year above
Top-10% rate
10.2%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+8%
the tick is no change
Largest producer
United States
38% of the 10 largest, 2022-now
Data-Driven Disease Surveillance

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 (1.4k and 757 works in 2022-now).

By volume, 2022-now

  1. 1 United States 1.4k works
  2. 2 China 757 works
  3. 3 United Kingdom 283 works
  4. 4 India 261 works
  5. 5 Germany 183 works
  6. 6 Canada 180 works
  7. 7 Brazil 166 works
  8. 8 Italy 156 works
  9. 9 Australia 152 works
  10. 10 France 147 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.

United States: 38.3%China: 20.5%United Kingdom: 7.6%India: 7.0%6 others listed: 26.6%38%largest
United States1,418 · 38.3%China757 · 20.5%United Kingdom283 · 7.6%India261 · 7.0%6 others listed984 · 26.6%

Shares of the rows listed above, not of the whole node.

Which institutions lead Data-Driven Disease Surveillance research?

By volume in 2022-now, United States Department of Health and Human Services publishes the most Data-Driven Disease Surveillance research, followed by Harvard University and University of North Carolina at Chapel Hill.

By volume, 2022-now

  1. 1 United States Department of Health and Human ServicesUnited States 38 works
  2. 2 Harvard UniversityUnited States 34 works
  3. 3 University of North Carolina at Chapel HillUnited States 33 works
  4. 4 World Health OrganizationSwitzerland 30 works
  5. 5 Centre National de la Recherche ScientifiqueFrance 29 works
  6. 6 Johns Hopkins UniversityUnited States 28 works
  7. 7 Chinese Academy of SciencesChina 24 works
  8. 8 University of TorontoCanada 20 works
  9. 9 Emory UniversityUnited States 18 works
  10. 10 University of OxfordUnited Kingdom 16 works

Who are the leading researchers in Data-Driven Disease Surveillance?

The most-cited researchers publishing on Data-Driven Disease Surveillance include Douglas G. Altman, Ahmedin Jemal and Christopher J L Murray.

  1. 1 Douglas G. Altman United Kingdom 862k citations
  2. 2 Ahmedin Jemal United States 761k citations
  3. 3 Christopher J L Murray United States 583k citations
  4. 4 Rebecca L. Siegel United States 582k citations
  5. 5 Freddie Bray France 550k citations
  6. 6 Yoshua Bengio Canada 476k citations
  7. 7 Simon Iain Hay United States 452k citations
  8. 8 Theo Vos United States 439k citations
  9. 9 Ali H. Mokdad United States 429k citations
  10. 10 Robert John Tibshirani United States 396k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Data-Driven Disease Surveillance?

The most cited paper in Data-Driven Disease Surveillance is "An interactive web-based dashboard to track COVID-19 in real time" (Ensheng Dong, Hongru Du, Lauren M. Gardner, 2020), with 11,219 citations. Next come "The Analysis of Spatial Association by Use of Distance Statistics" (6,238) and "The Danish Civil Registration System" (4,720).

Most cited papers
#PaperReleasedCitations
1 An interactive web-based dashboard to track COVID-19 in real time Ensheng Dong, Hongru Du, Lauren M. Gardner · The Lancet Infectious Diseases Open access 19 Feb 2020 11,219
2 The Analysis of Spatial Association by Use of Distance Statistics Arthur Getis, J. K. Ord · Geographical Analysis Jul 1992 6,238
3 The Danish Civil Registration System Carsten Bøcker Pedersen · Scandinavian Journal of Public Health Jul 2011 4,720
4 Detecting influenza epidemics using search engine query data Jeremy Ginsberg, Matthew H. Mohebbi, Rajan S. Patel et al. · Nature Open access 19 Nov 2008 4,439
5 A spatial scan statistic Martin Kulldorff · Communication in Statistics- Theory and Methods 1997 4,062
All 99 most cited papers, with filters and sorting

Where is Data-Driven Disease Surveillance research done?

The largest centres of Data-Driven Disease Surveillance research in 2022-now 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-now

  1. 1 BeijingChina 157 works
  2. 2 LondonUnited Kingdom 92 works
  3. 3 AtlantaUnited States 73 works
  4. 4 TokyoJapan 57 works
  5. 5 New YorkUnited States 56 works
  6. 6 Washington D.C.United States 54 works
  7. 7 ShanghaiChina 50 works
  8. 8 ParisFrance 50 works
  9. 9 TorontoCanada 43 works
  10. 10 WuhanChina 43 works

Where it is the local speciality

  1. AtlantaUS · 73.0 works6.1×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Data-Driven Disease Surveillance than the world average.

See Data-Driven Disease Surveillance on the map

Where is the best place to study Data-Driven Disease Surveillance?

Among universities, judged by research, Harvard University, Johns Hopkins University and London School of Hygiene & Tropical Medicine 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.

0%20%40%mean 17.09%fractional works in this field (log) →share of work in the world top 10% →National University …London School of Hyg…Johns Hopkins Univer…Harvard University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Harvard UniversityUnited States 67.013.5%2.2×34 -21.8%
2Johns Hopkins UniversityUnited States 59.813.8%3.8×28 -23.0%
3London School of Hygiene & Tropical MedicineUnited Kingdom 56.515.9%15.2×11 -17.6%
4National University of Defense TechnologyChina 55.729.4%2.3×9 +29.7%
5University College LondonUnited Kingdom 55.019.5%2.1×16 -14.9%
6University of TorontoCanada 54.410.8%2.1×20 +30.6%
7Emory UniversityUnited States 52.712.5%4.7×18 +49.8%
8University of OxfordUnited Kingdom 51.811.7%2.4×16 -10.7%
9The University of QueenslandAustralia 51.319.2%2.2×10 +27.9%
10Zhejiang UniversityChina 48.724.6%0.8×11 +24.8%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Data-Driven Disease Surveillance, country by country

Is Data-Driven Disease Surveillance research growing?

Output in 2022-2025 was 8% higher than in 2018-2021, peaking in 2021. The fastest-growing topics are Data-Driven Disease Surveillance.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Data-Driven Disease Surveillance as a percentage of every work published that year, 0.020% in 2024.

still counting0.010%0.020%0.030%Data-Driven Disease Surveillance0.021% in 202519801990200020102020

Fractional works of Data-Driven Disease Surveillance over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Data-Driven Disease Surveillance10.2% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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