COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown Lifts
Background: The UK was one of the countries worst affected by the COVID-19 pandemic in Europe. A strict lockdown from early 2021 combined with an aggressive vaccination programme enabled a gradual easing of lockdown measures to be introduced whilst both deaths and reported case numbers reduced to le...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/9/3/60 |
| _version_ | 1827681192443379712 |
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| author | Claire Brereton Matteo Pedercini |
| author_facet | Claire Brereton Matteo Pedercini |
| author_sort | Claire Brereton |
| collection | DOAJ |
| description | Background: The UK was one of the countries worst affected by the COVID-19 pandemic in Europe. A strict lockdown from early 2021 combined with an aggressive vaccination programme enabled a gradual easing of lockdown measures to be introduced whilst both deaths and reported case numbers reduced to less than 3% of their peak. The emergence of the Delta variant in April 2021 has reversed this trend, and the UK is once again experiencing surging cases, albeit with reduced average severity due to the success of the vaccination rollout. This study presents the results of a modelling exercise which simulates the progression of the pandemic in the UK through projection of daily case numbers as lockdown lifts. Methods: A simulation model based on the Susceptible-Exposed-Infected-Recovered structure was built. A timeline of UK lockdown measures was used to simulate the changing restrictions. The model was tailored for the UK, with some values set based on research and others obtained through calibration against 16 months of historical data. Results: The model projects that if lockdown restrictions are lifted in July 2021, UK COVID-19 cases will peak at hundreds of thousands daily in most viable scenarios, reducing in late 2021 as immunity acquired through both vaccination and infection reduces the susceptible population percentage. Further lockdown measures can be used to reduce daily cases. Other than the ever-present threat of the emergence of new variants, the most significant unknown factors affecting the profile of the pandemic in the UK are the length and strength of immunity, with daily peak cases over 50% higher if immunity lasts 8 months compared to 12 months. Another significant factor is the percentage of unreported cases. The reduced case severity associated with vaccination may lead to a higher proportion of unreported mild or asymptomatic cases, meaning that unmanaged infections resulting from unknown cases will continue to be a major source of infection. Conclusions: Further research into the length and strength of both recovered and vaccinated COVID-19 immunity is critical to delivering more accurate projections from models, thus enabling more finely tuned policy decisions. The model presented in this article, whilst by no means perfect, aims to contribute to greater transparency of the modelling process, which can only increase trust between policy makers, journalists and the general public. |
| first_indexed | 2024-03-10T07:10:48Z |
| format | Article |
| id | doaj.art-9f90a9ce50ed4a639b2e425e336e5667 |
| institution | Directory Open Access Journal |
| issn | 2079-8954 |
| language | English |
| last_indexed | 2024-03-10T07:10:48Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj.art-9f90a9ce50ed4a639b2e425e336e56672023-11-22T15:29:45ZengMDPI AGSystems2079-89542021-08-01936010.3390/systems9030060COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown LiftsClaire Brereton0Matteo Pedercini1Child Health Research Centre, University of Queensland, Brisbane, QLD 4101, AustraliaMillennium Institute, 2200 Pennsylvania Ave NW, Washington, DC 20037, USABackground: The UK was one of the countries worst affected by the COVID-19 pandemic in Europe. A strict lockdown from early 2021 combined with an aggressive vaccination programme enabled a gradual easing of lockdown measures to be introduced whilst both deaths and reported case numbers reduced to less than 3% of their peak. The emergence of the Delta variant in April 2021 has reversed this trend, and the UK is once again experiencing surging cases, albeit with reduced average severity due to the success of the vaccination rollout. This study presents the results of a modelling exercise which simulates the progression of the pandemic in the UK through projection of daily case numbers as lockdown lifts. Methods: A simulation model based on the Susceptible-Exposed-Infected-Recovered structure was built. A timeline of UK lockdown measures was used to simulate the changing restrictions. The model was tailored for the UK, with some values set based on research and others obtained through calibration against 16 months of historical data. Results: The model projects that if lockdown restrictions are lifted in July 2021, UK COVID-19 cases will peak at hundreds of thousands daily in most viable scenarios, reducing in late 2021 as immunity acquired through both vaccination and infection reduces the susceptible population percentage. Further lockdown measures can be used to reduce daily cases. Other than the ever-present threat of the emergence of new variants, the most significant unknown factors affecting the profile of the pandemic in the UK are the length and strength of immunity, with daily peak cases over 50% higher if immunity lasts 8 months compared to 12 months. Another significant factor is the percentage of unreported cases. The reduced case severity associated with vaccination may lead to a higher proportion of unreported mild or asymptomatic cases, meaning that unmanaged infections resulting from unknown cases will continue to be a major source of infection. Conclusions: Further research into the length and strength of both recovered and vaccinated COVID-19 immunity is critical to delivering more accurate projections from models, thus enabling more finely tuned policy decisions. The model presented in this article, whilst by no means perfect, aims to contribute to greater transparency of the modelling process, which can only increase trust between policy makers, journalists and the general public.https://www.mdpi.com/2079-8954/9/3/60COVID-19UKvaccinationimmunitypolicysystem dynamics |
| spellingShingle | Claire Brereton Matteo Pedercini COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown Lifts Systems COVID-19 UK vaccination immunity policy system dynamics |
| title | COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown Lifts |
| title_full | COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown Lifts |
| title_fullStr | COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown Lifts |
| title_full_unstemmed | COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown Lifts |
| title_short | COVID-19 Case Rates in the UK: Modelling Uncertainties as Lockdown Lifts |
| title_sort | covid 19 case rates in the uk modelling uncertainties as lockdown lifts |
| topic | COVID-19 UK vaccination immunity policy system dynamics |
| url | https://www.mdpi.com/2079-8954/9/3/60 |
| work_keys_str_mv | AT clairebrereton covid19caseratesintheukmodellinguncertaintiesaslockdownlifts AT matteopedercini covid19caseratesintheukmodellinguncertaintiesaslockdownlifts |