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]
| Formation | 2020 |
|---|---|
| Founded at | Imperial College London, Faculty of Medicine |
| Headquarters | London, England |
| Services | Reports relating to the COVID-19 pandemic to inform governments and public health agencies around the world |
Membership | 50 scientists |
Leader | Professor Neil Ferguson |
| Affiliations | MRC GIDA, Jameel Institute |
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]
Reports
editEstimates
edit11 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) |
Infected
(mean %) |
Cases
(est.) |
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
editReferences
edit- ^ "The global impact of Imperial's COVID-19 Response Team | Imperial News | Imperial College London". Imperial News. 11 August 2020. Retrieved 18 November 2020.
- ^ 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) - ^ 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.
- ^ "COVID-19 Response Team 2020–2021 report". Imperial College London. Retrieved 23 April 2021.
- ^ "People". Imperial College London. Retrieved 18 November 2020.
- ^ 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.
- ^ 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) - ^ 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) - ^ "COVID-19 reports". Imperial College London. Retrieved 2 May 2021.
- ^ "Report 12 – The global impact of COVID-19 and strategies for mitigation and suppression". Imperial College London. Retrieved 4 April 2020.