Imperial College London is home to 17,000 students and 8,000 staff in West London. The College is acting on the advice of London Coronavirus Response Cell, Public Health England as well as the UK Government, NHS and World Health Organisation. Our in-house safety experts, academic leaders in infectious diseases and other related fields are involved in managing our response to coronavirus (COVID-19) within our community.  Imperial is running a COVID-19 testing scheme for staff and students who are asymptomatic. Anyone with the symptoms of coronavirus should follow the NHS advice and book a test with the NHS testing service.

Testing data for coronavirus (COVID-19) at Imperial

Published 14.00 4 December 2020

COVID-19 testing data

  

Positive results reported on 1 December*:

  • Students: 5 or fewer**
  • Staff: 0
  • Total: 5 or fewer**

Positive results reported on 2 December**

  • Students: 5 or fewer**
  • Staff: 5 of fewer**
  • Total: 5 or fewer**

Positive tests reported in the last 14 days*:

  • Students: 40
  • Staff: 6
  • Total: 46

This is the cumulative total of the positive tests reported in the last 14 days.

Number of people tested:

  • 3,719 people

This is the cumulative total of staff and students tested for coronavirus (COVID-19) by the College's asymptomatic testing service over the past 28 days up to 16.00 on 2 December 2020. Some of these people will be repeat visitors as routine testing is now encouraged amongst the College community on our campuses. Anyone with symptoms is directed to the NHS testing service.

*Notes on the positive test-result figures:

  • Data from the 20 October 2020 onwards includes all self-reported COVID-19 positive results, data before the 19 October 2020 is from the College's COVID-19 Contact Tracing Hub (CCT Hub). 
  • Data is published daily on week days.
  • Weekend data will be published on Mondays.

** Data protection: where there are between 1 and 5 positive tests, we will report this as '5 or fewer'.  Due to the small numbers involved there is a risk that individuals could be identified.