COVID-19 epidemiological studies
COVID-19 epidemiological studies is a research topic within Modeling and Simulation. Science Explorer counts 40k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on mathematical modeling, analysis, and forecasting of the transmission dynamics, public health interventions, and epidemiological characteristics of the COVID-19 pandemic. It includes studies on the impact of various factors such as temperature, humidity, social distancing, and travel restrictions on the spread of the virus.
- COVID-19
- modeling
- transmission dynamics
- public health interventions
- epidemiology
- infectious diseases
- social distancing
- mathematical analysis
- pandemic control
- viral spread
- Research works
- 40k fractional, since 1950
- In the world top 10%
- 4k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +2% the tick is no change
- Largest producer
United States
29% of the 10 largest, 2022-now
Which countries lead COVID-19 epidemiological studies research?
By volume, the United States and China publish the most (2.8k and 1.9k works in 2022-now).
By volume, 2022-now
- 1
United States 2.8k works
- 2
China 1.9k works
- 3
India 1.6k works
- 4
United Kingdom 818 works
- 5
Italy 464 works
- 6
Nigeria 453 works
- 7
Canada 437 works
- 8
Germany 402 works
- 9
Brazil 392 works
- 10
Japan 376 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 COVID-19 epidemiological studies research?
By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most COVID-19 epidemiological studies research, followed by University of North Carolina at Chapel Hill and United States Department of Health and Human Services.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 94 works
- 2
University of North Carolina at Chapel Hill
United States 92 works
- 3
United States Department of Health and Human Services
United States 77 works
- 4
Harvard University
United States 68 works
- 5
Johns Hopkins University
United States 66 works
- 6
World Health Organization
Switzerland 62 works
- 7
University of Oxford
United Kingdom 58 works
- 8
London School of Hygiene & Tropical Medicine
United Kingdom 49 works
- 9
University of Toronto
Canada 48 works
- 10
Imperial College London
United Kingdom 48 works
Who are the leading researchers in COVID-19 epidemiological studies?
The most-cited researchers publishing on COVID-19 epidemiological studies include Christopher J L Murray, Yoshua Bengio and Rob Knight.
- 1
Christopher J L Murray
United States 583k citations
- 2
Yoshua Bengio
Canada 476k citations
- 3
Rob Knight
United States 468k citations
- 4
Simon Iain Hay
United States 452k citations
- 5
Theo Vos
United States 439k citations
- 6
George Davey Smith
United Kingdom 435k citations
- 7
Ali H. Mokdad
United States 429k citations
- 8
Stacey L. Gabriel
United States 402k citations
- 9
Robert John Tibshirani
United States 396k citations
- 10
Zulfiqar Ahmed Bhutta
Pakistan 371k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is COVID-19 epidemiological studies research done?
The largest centres of COVID-19 epidemiological studies research in 2022-now are Beijing (China), London (United Kingdom), Dhaka (Bangladesh) and New Delhi (India). Among places with at least 20 works in it, it is an unusually large share of all research in Abuja.
Largest cities, 2022-now
- 1
Beijing
China 319 works
- 2
London
United Kingdom 305 works
- 3
Dhaka
Bangladesh 166 works
- 4
New Delhi
India 162 works
- 5
Paris
France 149 works
- 6
Atlanta
United States 139 works
- 7
Tokyo
Japan 136 works
- 8
New York
United States 135 works
- 9
Shanghai
China 131 works
- 10
Washington D.C.
United States 119 works
Where it is the local speciality
- AbujaNG · 38.8 works8.1×
Location quotient: how much more of its research is in COVID-19 epidemiological studies than the world average.
Where is the best place to study COVID-19 epidemiological studies?
Among universities, judged by research, Debre Berhan University, Lebanese American University and Indian Institute of Engineering Science and Technology, Shibpur score highest, combining citation 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends citation 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 COVID-19 epidemiological studies, country by countryIs COVID-19 epidemiological studies research growing?
Output in 2022-2025 was 2% higher than in 2018-2021, peaking in 2021. The fastest-growing topics are COVID-19 epidemiological studies.
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 COVID-19 epidemiological studies as a percentage of every work published that year, 0.057% in 2024.
Fractional works of COVID-19 epidemiological studies 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.
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.
Discussion
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