Appendix A: estimating the number needed to vaccinate to prevent a COVID-19 hospitalisation in autumn 2024 in England
Published 2 August 2024
Introduction
In this report the UK Health Security Agency (UKHSA) estimates the number needed to vaccinate (NNV) to prevent a hospitalisation, severe hospitalisation and a death due to COVID-19. This is to inform decisions around COVID-19 vaccination in autumn 2024. The data relevant to these calculations is incidence of these outcomes by vaccination status as well as incremental vaccine effectiveness of additional doses and how this wanes. Stratification by risk group is shown using data in the National Immunisation Management System (NIMS) and this considers risk as those with and without immunosuppression. The analysis focuses on ages 15 and over and stratifies by age in 5-year bands to over 90 years.
The method is the same as that used for autumn 2023 with updates to estimates of vaccine effectiveness and a correction factor for the lower incidence seen since winter 2022 to 2023.
Methods
Outcomes
The outcomes were:
- hospitalisations: secondary user services (SUS) hospital admissions with a respiratory code in the primary discharge field and with a positive PCR or lateral flow test in the period 14 days before to 2 days after admission. In addition, any individuals without evidence of a test but with an International Classification of Diseases (ICD) code for COVID (U071-COVID virus identified and U072-COVID epi diagnosis) in the primary diagnostic field
- severe hospitalisations: at least a 2-day stay and with codes to indicate use of oxygen, ventilation or ICU admission
- death: Office of National Statistics (ONS) coded deaths with COVID-19 listed as one of the causes
Covariates
Age was defined in 5-year age bands from 15 years of age. Clinical risk group was defined as having a flag for any of the risk group fields in NIMS as follows:
- no risk: no risk group flags
- risk with no immunosuppression: at least one risk group flag but not a flag for immunosuppression
- immunosuppressed: a flag for immunosuppression or severely immunosuppressed
The full list of flags followed the Cohorting as a Service (CaaS) (created autumn 2022 for the booster) cohorts:
- asplenia
- chronic heart or vascular disease
- chronic kidney, liver or digestive disease
- chronic neurological disease
- chronic respiratory disease
- diabetes and endocrine disease
- morbid obesity
- severe mental illness
- serious genetic abnormalities
- immunosuppression
- severely immunosuppressed
The latter 2 are used for immunosuppression.
Vaccine effectiveness of further doses
To estimate the incremental effectiveness (iVE) of a further vaccine dose, the recent VE estimates of the autumn 2023 doses were used along with data from the spring 2023 dose for which longer follow up is available (in those not boosted again) to assess waning. This allowed estimates of iVE by month since a further dose with a 6-month window.
The VE estimates based on the test-negative case-control (TNCC) run on 14 February 2024 for the hospital end point with at least a 2-day stay were as follows:
- 9 to 13 days post vaccination: 41% (95% CI 28 to 52)
- 2 to 4 weeks post bivalent vaccine: 51% (44 to 56)
- 5 to 9 weeks: 46% (39 to 501)
- 10 to 14 weeks: 37% (29 to 43)
- greater than 15 weeks: 14% (−12 to 33)
See recent published estimates
Based on this and data from the spring 2023 boosters the iVE by month since booster was assumed to be as follows for all end points:
- month 1: 45%
- month 2: 45%
- month 3: 35%
- month 4: 20%
- month 5: 15%
- month 6: 10%
Method to estimate NNV
To estimate NNV the monthly incidence was based on the incidence used for the autumn 2023 calculation (incidence in the winter of 2022 to 2023) but with this incidence halved to reflect the lower rates of COVID-19 seen since this time through 2023 which likely reflect increasing population immunity. As in the 2023 calculation, incidence is stratified by age and risk group.
The NNV was then calculated by applying the iVE to this incidence for a 6-month period post a booster dose. For example, an incidence of 10 per 100,000 per month would be reduced with vaccination by:
- 10 times 0.45 equals 4.5 in month 1
- 10 times 0.45 equals 4.5 in month 2
- 10 times 0.35 equals 3.5 in month 3
- 10 times 0.2 equals 2 in month 4
- 10 times 0.15 equals 1.5 in month 5
- 10 times 0.1 equals 1 in month 6
This accumulates to observing 17 per 100,000 population fewer cases which can be inverted to an NNV of 100,000 divided by 17 equals 5,882.
Results
NNV estimates
NNV estimates are shown in tables 1a to 1c. As expected NNV decreases with increasing risk and age. It is notable that NNV is lower for death than for severe hospitalisation. This likely relates to deaths occurring outside hospital and possibly older ages in hospital dying before oxygen, ventilation or ICU use. It may also be that some ONS coded deaths were not due to COVID-19.
Notes on tables 1a to 1c:
- ‘IS’ means immunosuppressed
- ‘all’ means combining no risk and risk groups
Table 1a: NNV estimates for a hospitalisation by age and risk status
Age (years) | No risk | Risk (not including IS) | IS | All |
---|---|---|---|---|
15 to 19 | 113,700 | 9,800 | 1,100 | 63,500 |
20 to 24 | 102,900 | 10,200 | 1,300 | 69,900 |
25 to 29 | 93,800 | 10,500 | 1,500 | 62,100 |
30 to 34 | 86,700 | 10,700 | 1,700 | 56,000 |
35 to 39 | 82,100 | 10,700 | 1,800 | 50,800 |
40 to 44 | 80,000 | 10,400 | 1,900 | 45,100 |
45 to 49 | 80,200 | 9,600 | 1,900 | 37,100 |
50 to 54 | 79,700 | 8,600 | 1,800 | 15,500 |
55 to 59 | 75,000 | 7,200 | 1,600 | 12,300 |
60 to 64 | 63,700 | 5,700 | 1,400 | 9,000 |
65 to 69 | 46,700 | 4,200 | 1,200 | 6,000 |
70 to 74 | 28,500 | 2,900 | 910 | 3,800 |
75 to 79 | 14,900 | 1,900 | 690 | 2,200 |
80 to 84 | 7,000 | 1,200 | 500 | 1,300 |
85 to 89 | 3,000 | 690 | 360 | 730 |
over 90 | 1,200 | 410 | 260 | 420 |
Table 1b: NNV estimates for a severe hospitalisation by age and risk status
Age (years) | No risk | Risk (not including IS) | IS | All |
---|---|---|---|---|
15 to 19 | >5,000,000 | 416,900 | 97,700 | >5,000,000 |
20 to 24 | >5,000,000 | 316,100 | 89,700 | >5,000,000 |
25 to 29 | >5,000,000 | 240,400 | 81,500 | 3,974,100 |
30 to 34 | >5,000,000 | 183,900 | 72,500 | 2,428,400 |
35 to 39 | 3,793,800 | 141,800 | 62,500 | 1,517,400 |
40 to 44 | 2,405,300 | 110,600 | 51,700 | 952,200 |
45 to 49 | 1,730,200 | 87,300 | 40,800 | 579,100 |
50 to 54 | 1,347,400 | 69,400 | 31,000 | 180,000 |
55 to 59 | 1,067,900 | 55,100 | 23,000 | 124,700 |
60 to 64 | 809,700 | 43,400 | 16,900 | 83,300 |
65 to 69 | 552,000 | 33,600 | 12,500 | 54,600 |
70 to 74 | 323,300 | 25,500 | 9,400 | 35,200 |
75 to 79 | 165,500 | 18,900 | 7,100 | 22,600 |
80 to 84 | 76,600 | 13,900 | 5,500 | 14,700 |
85 to 89 | 33,100 | 10,100 | 4,300 | 10,000 |
over 90 | 13,900 | 7,300 | 3,300 | 7,000 |
Table 1c: NNV estimates for death by age and risk status
Age (years) | No risk | Risk (not including IS) | IS | All |
---|---|---|---|---|
15 to 19 | 4,859,000 | 3,837,300 | 53,800 | 3,497,000 |
20 to 24 | 4,406,600 | 1,812,900 | 61,300 | 3,473,500 |
25 to 29 | 3,970,400 | 879,200 | 68,200 | 2,913,800 |
30 to 34 | 3,531,300 | 449,400 | 72,300 | 2,317,000 |
35 to 39 | 3,080,200 | 248,500 | 71,100 | 1,719,600 |
40 to 44 | 2,617,900 | 152,600 | 63,400 | 1,168,300 |
45 to 49 | 2,145,200 | 105,400 | 50,400 | 708,200 |
50 to 54 | 1,649,700 | 78,400 | 36,100 | 206,900 |
55 to 59 | 1,154,100 | 59,400 | 23,900 | 132,900 |
60 to 64 | 712,100 | 43,300 | 14,900 | 79,200 |
65 to 69 | 375,600 | 28,700 | 8,900 | 43,300 |
70 to 74 | 166,100 | 16,600 | 5,300 | 21,500 |
75 to 79 | 63,200 | 8,500 | 3,000 | 9,900 |
80 to 84 | 21,500 | 4,000 | 1,700 | 4,300 |
85 to 89 | 6,800 | 1,700 | 1,000 | 1,900 |
over 90 | 2100 | 740 | 570 | 780 |
Comments
Assumptions in this calculation include:
- booster iVE wanes back to the pre-booster protection level by the time of future doses. In practice some incremental immunity may remain for those revaccinated at about 6 months. This will lead to slight under estimation of NNV
- the same iVE applies to all risk groups (and those not in a risk group)
-
half the incidence assumed for autumn 2023 is a best approximation of future rates based on lower rates seen in 2023. A reasonable uncertainty would be doubling to halving the rates (and hence NNV)
- new variants will not change the iVE appreciably