Imperial College COVID-19 Response Team

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Imperial College COVID-19 Response Team
Founded atImperial College London, Faculty of Medicine
HeadquartersLondon, England
ServicesReports relating to the COVID-19 pandemic to inform governments and public health agencies around the world
50 scientists
Professor Neil Ferguson
AffiliationsMRC GIDA, Jameel Institute

The Imperial College COVID-19 Response Team is a group of experts from Imperial College London studying the COVID-19 pandemic and informing the government of the United Kingdom, and governments and public health agencies around the world.[1][2][3] The team comprises scientists from the MRC Centre for Global Infectious Disease Analysis, the Jameel Institute, the Imperial College Business School and the Department of Mathematics.[4] The Imperial College COVID-19 Response Team is led by Professor Neil Ferguson, Director of the Jameel Institute and MRC GIDA.[5][6]

On 16 March 2020 the Imperial College COVID-19 Response Team produced a research forecast of various scenarios for spread of the disease in the United Kingdom and the United States. Without any mitigation their forecast showed local health care capabilities vastly overwhelmed by the epidemic wave. Periodic cycles of quarantine followed by softer social distancing were recommended, with quarantines in effect two-thirds of the time.[7] On 30 March, a study on 11 European countries was published.[8] It provided estimates of the situation as of 28 March (observed and modelised with CovidSim), and projections for 31 March given current expectations, no action, and the difference. It also provided a list of government policies and their respective absolute dates.[8] As of 2 May 2021, the Imperial College COVID-19 Response Team has produced 43 reports.[9]


COVID-19 reports
Rank Date Title
43 2021-03-24 Quantifying the impact of vaccine hesitancy in prolonging the need for Non-Pharmaceutical Interventions to control the COVID-19 pandemic
42 2020-12-31 Transmission of SARS-CoV-2 Lineage B.1.1.7 in England: insights from linking epidemiological and genetic data
41 2020-12-22 The 2020 SARS-CoV-2 epidemic in England: key epidemiological drivers and impact of interventions
40 2020-12-10 Optimal scheduling rules for elective care to minimize years of life lost during the SARS-CoV-2 pandemic: an application to England
39 2020-12-01 Characterising COVID-19 epidemic dynamics and mortality under-ascertainment in Khartoum, Sudan
38 2020-11-27 SARS-CoV-2 setting-specific transmission rates: a systematic review and meta-analysis
37 2020-11-25 Children’s role in the COVID-19 pandemic: as systematic review of susceptibility, severity, and transmissibility
36 2020-11-16 Modelling ICU capacity under different epidemiological scenarios of the COVID-19 pandemic in three western European countries
35 2020-11-16 How can we keep schools and universities open? Differentiating closures by economic sector to optimize social and economic activity while containing SARS-CoV-2 transmission
34 2020-10-29 Infection Fatality Ratio Estimates from Seroprevalence
33 2020-09-25 Modelling the allocation and impact of a COVID-19 vaccine
32 2020-09-17 Age groups that sustain resurging COVID-19 epidemics in the United States
31 2020-09-15 Estimating under-ascertainment of COVID-19 mortality: an analysis of novel data sources to provide insight into COVID-19 dynamics in Damascus, Syria
30 2020-07-03 The COVID-19 epidemic trends and control measures in mainland China
29 2020-07-01 The impact of the COVID-19 epidemic on all-cause attendances to emergency departments in two large London hospitals: an observational study
28 2020-06-18 "Excess non-COVID-19 deaths in England and Wales between 29th February and 5th June 2020"
27 2020-06-15 Adapting hospital capacity to meet changing demands during the COVID-19 pandemic
26 2020-06-08 Reduction in mobility and COVID-19 transmission
25 2020-05-29 Response to COVID-19 in South Korea and implications for lifting stringent interventions
24 2020-05-29 Anonymised & aggregated crowd level mobility data from mobile phones suggests initial compliance with COVID19 social distancing interventions was high & geographically consistent across UK
23 2020-05-21 State-level tracking of COVID-19 in the United States
22 2020-05-12 Equity in response to the COVID-19 pandemic: an assessment of the direct and indirect impacts on disadvantaged and vulnerable populations in low- and lower middle-income countries
21 2020-05-08 Estimating COVID-19 cases and reproduction number in Brazil
20 2020-05-04 Using mobility to estimate the transmission intensity of COVID-19 in Italy: A subnational analysis with future scenarios
19 2020-05-01 The Potential Impact of the COVID-19 Epidemic on HIV, TB and Malaria in Low- and Middle-Income Countries
18 2020-05-01 The potential public health impact of COVID-19 on malaria in Africa
17 2020-04-29 Clinical characteristics and predictors of outcomes of hospitalised patients with COVID-19 in a London NHS Trust: a retrospective cohort study
16 2020-04-23 Role of testing in COVID-19 control
The report estimates COVID-19 testing's impact as reducing transmission by 25~33% from populations tested, but also allowing early release from quarantines and creation of Immunity passport based on antibody tests. Tests face technical, legal, and ethical challenges. Tests while helping are complementary to other more potent actions such as self-isolation when symptoms arises, contact tracing and quarantines.
15 2020-04-17 Strengthening hospital capacity for the COVID-19 pandemic
Reports presents the Jameel Institute pandemic planner "a hospital planning tool to calculate how much capacity in terms of beds, staff and ventilators is obtained by implementing healthcare provision interventions affecting the management of patient care in hospitals".
14 2020-04-03 Online Community Involvement in COVID-19 Research & Outbreak Response: Early Insights from a UK Perspective
13 2020-03-30 Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries
12 2020-03-26 The global impact of COVID-19 and strategies for mitigation and suppression
11 2020-03-24 Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment
10 2020-03-20 Public response to UK Government recommendations on COVID-19: population survey, 17–18 March 2020
9 2020-03-16 Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand
This report made an informed estimate of impact for both UK and the US, according to different strategies. The dire impact expressed helped convert the Johnson government from laisser-faire to mitigative strategies.
8 2020-03-11 Symptom progression of COVID-19
7 2020-03-09 Estimating infection prevalence in Wuhan City from repatriation flights
6 2020-02-21 Relative sensitivity of international surveillance
5 2020-02-15 Phylogenetic analysis of SARS-CoV-2
4 2020-02-10 Severity of 2019 novel coronavirus (nCoV)
3 2020-01-25 Transmissibility of 2019-nCoV
2 2020-01-22 Estimating the potential total number of novel Coronavirus (2019-nCoV) cases in Wuhan City, China
1 2020-01-17 Estimating the potential total number of novel Coronavirus (2019-nCoV) cases in Wuhan City, China


11 European countries estimates on 28 March 2020[edit]

Population infected by country
ICCRT's model projection for 28 March[8] WHO lab-confirmed 29 March
Country Population[citation needed] Infected

(95% range)


(mean %)



Cases Detected

(% of pop.)

Austria 8,999,973 0.36%–3.1% 1.1% 99000 8291 0.09%
Belgium 11,579,502 1.3%–9.7% 3.7% 428400 9134 0.08%
Denmark 5,785,741 0.40%–3.1% 1.1% 63600 2201 0.04%
France 65,227,357 1.1%–7.4% 3.0% 1956800 37145 0.06%
Germany 83,792,987 0.28%–1.8% 0.72% 603300 52547 0.06%
Italy 60,496,082 3.2%–26% 9.8% 5928600 92472 0.15%
Norway 5,407,670 0.09%–1.2% 0.41% 22200 3845 0.07%
Spain 46,767,543 3.7%–41% 15% 7015100 72248 0.15%
Sweden 10,081,948 0.85%–8.4% 3.1% 312500 3447 0.03%
Switzerland 8,637,694 1.3%–7.6% 3.2% 276400 13152 0.15%
United Kingdom 67,803,450 1.2%–5.4% 2.7% 1830700 17093 0.03%
Note: WHO reporting laboratory-confirmed cases on 29 March, 10am Central European Time.

World estimates for 3 strategies[edit]

Estimated impact of suppression strategies over 250 days for 3 different strategies.[10]
Unmitigated Scenario Suppression at 0.2 deaths/100,000/week Suppression at 1.6 deaths/100,000/week
Infections Deaths Infections Deaths Infections Deaths
East Asia & Pacific 2,117,131,000 15,303,000 92,544,000 442,000 632,619,000 3,315,000
Europe & Central Asia 801,770,000 7,276,000 61,578,000 279,000 257,706,000 1,397,000
Latin America & Caribbean 566,993,000 3,194,000 45,346,000 158,000 186,595,000 729,000
Middle East & North Africa 419,138,000 1,700,000 30,459,000 113,000 152,262,000 594,000
North America 326,079,000 2,981,000 17,730,000 92,000 90,529,000 520,000
South Asia 1,737,766,000 7,687,000 111,703,000 475,000 629,164,000 2,693,000
Sub-Saharan Africa 1,044,858,000 2,483,000 110,164,000 298,000 454,968,000 1,204,000
Total 7,013,734,000 40,624,000 469,523,000 1,858,000 2,403,843,000 10,452,000

See also[edit]


  1. ^ "The global impact of Imperial's COVID-19 Response Team | Imperial News | Imperial College London". Imperial News. 11 August 2020. Retrieved 18 November 2020.
  2. ^ Wilson, Deborah Evanson, Joanna. "COVID-19: six months on the frontline (An Imperial Story)". Imperial College London. Retrieved 18 November 2020.{{cite web}}: CS1 maint: multiple names: authors list (link)
  3. ^ Landler, Mark; Castle, Stephen (17 March 2020). "Behind the Virus Report That Jarred the U.S. and the U.K. to Action". The New York Times. ISSN 0362-4331. Retrieved 30 March 2020.
  4. ^ "COVID-19 Response Team 2020–2021 report". Imperial College London. Retrieved 23 April 2021.
  5. ^ "People". Imperial College London. Retrieved 18 November 2020.
  6. ^ Adam, David (2020). "Special report: The simulations driving the world's response to COVID-19". Nature. 580 (7803): 316–318. Bibcode:2020Natur.580..316A. doi:10.1038/d41586-020-01003-6. PMID 32242115. S2CID 256820433.
  7. ^ Imperial College COVID-19 Response Team (16 March 2020). "Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand" (PDF).{{cite web}}: CS1 maint: numeric names: authors list (link)
  8. ^ a b c Imperial College COVID-19 Response Team (30 March 2020). "Estimating the number of infections and the impact of nonpharmaceutical interventions on COVID-19 in 11 European countries" (PDF). p. 35.{{cite web}}: CS1 maint: numeric names: authors list (link)
  9. ^ "COVID-19 reports". Imperial College London. Retrieved 2 May 2021.
  10. ^ "Report 12 – The global impact of COVID-19 and strategies for mitigation and suppression". Imperial College London. Retrieved 4 April 2020.

External links[edit]