Modelling SARS-COV2 Spread in London: Approaches to Lift the Lockdown

Lara Goscé*, Professor Andrew Phillips, P. Spinola, Dr Rishi K. Gupta, Professor Ibrahim Abubakar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Objective: To use mathematical models to predict the epidemiological impact of lifting the lockdown in London, UK, and alternative strategies to help inform policy in the UK. Methods: A mathematical model for the transmission of SARS-CoV2 in London. The model was parametrised using data on notified cases, deaths, contacts, and mobility to analyse the epidemic in the UK capital. We investigated the impact of multiple non pharmaceutical interventions (NPIs) and combinations of these measures on future incidence of COVID-19. Results: Immediate action at the early stages of an epidemic in the affected districts would have tackled spread. While an extended lockdown is highly effective, other measures such as shielding older populations, universal testing and facemasks can all potentially contribute to a reduction of infections and deaths. However, based on current evidence it seems unlikely they will be as effective as continued lockdown. In order to achieve elimination and lift lockdown within 5 months, the best strategy seems to be a combination of weekly universal testing, contact tracing and use of facemasks, with concurrent lockdown. This approach could potentially reduce deaths by 48% compared with continued lockdown alone. Conclusions: A combination of NPIs such as universal testing, contact tracing and mask use while under lockdown would be associated with least deaths and infections. This approach would require high uptake and sustained local effort but it is potentially feasible as may lead to elimination in a relatively short time scale.

Original languageEnglish
Pages (from-to)260-265
Number of pages6
JournalJournal of Infection
Volume81
Issue number2
DOIs
Publication statusPublished - Aug 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 The British Infection Association

Fingerprint

Dive into the research topics of 'Modelling SARS-COV2 Spread in London: Approaches to Lift the Lockdown'. Together they form a unique fingerprint.

Cite this