Data for different geographic areas (see below) are shown in different colours. You can choose which areas to show by clicking on the buttons next to its name. The colour of each button is the colour of the corresponding curve. We also included a button to show the University of Cambridge's own test data of their staff and students; this is discussed in more detail on the City and University numbers page.
For each day and each area (except Cambridge University, whose curve is discussed in more detail on the University-specific page), the graph shows average (see below) daily new positive lab tests per 100000 population. This allows direct comparison of data between large areas such as the whole of England and small ones such as Cambridge.
(Hospitalisation figures might be a better indicator if you wish to compare the severities of infection waves.)
- "The North" shows combined data for the North West, the North East, Yorkshire and The Humber, i.e. the entire North of England. Similarly for "The Midlands".
- "Greater Cambridge" shows the combined data for the City of Cambridge and surrounding South Cambridgshire. Thus, it represents the people you are most likely to meet at Tesco Bar Hill or, for that matter, at Addenbrookes Hospital!
- "Cambridge (actual cases)", which is the little crosses, shows the actual govenrment data for new Cambridge cases on each day. Since the population of Cambridge is 124000, these are on average 25% above the red curve which shows cases per 100000.
- "Cambridge University" shows the results of the tests taken on behalf of Cambridge University for those of their staff and students who show Covid-19 symptoms. These, in turn, are part of the data for either Cambridge City or, if staff live there, for South Cambridgeshire. More details about these tests are on the page.
In addition, the data points are smoothed further over three neighbouring days. This serves to smooth out statistical fluctuations in the data due to too small a sample.
|(City Council, verbal communication)|
- people with asymptomatic COVID-19 who were never tested but would still be infectious and contributing to the further spread of the virus, and
- people with symptoms of COVID-19 who never took a test. We believe that there are a great number of those; data from the COVID Symptom Study suggest that if these were included the numbers shown could be as much as three times as high.