Elsevier

Epidemics

Volume 37, December 2021, 100526
Epidemics

Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV2 and the burden of COVID-19 disease

https://doi.org/10.1016/j.epidem.2021.100526Get rights and content
Under a Creative Commons license
open access

Highlights

  • Simple models show that short-duration precautionary breaks are effective in reducing the burden of COVID-19 disease.

  • More complex age-structured models, matched to available data, support this conclusion.

  • Precautionary breaks provide the greatest short-term reduction in cases when the growth rate would otherwise be large.

  • These breaks are not a long-term solution but allow other measures to regain control of the epidemic.

Abstract

COVID-19 in the UK has been characterised by periods of exponential growth and decline, as different non-pharmaceutical interventions (NPIs) are brought into play. During the early uncontrolled phase of the outbreak (March 2020) there was a period of prolonged exponential growth with epidemiological observations such as hospitalisation doubling every 3–4 days. The enforcement of strict lockdown measures led to a noticeable decline in all epidemic quantities that slowed during the summer as control measures were relaxed. From August 2020, infections, hospitalisations and deaths began rising once more and various NPIs were applied locally throughout the UK in response.

Controlling any rise in infection is a compromise between public health and societal costs, with more stringent NPIs reducing cases but damaging the economy and restricting freedoms. Typically, NPI imposition is made in response to the epidemiological state, are of indefinite length and are often imposed at short notice, greatly increasing the negative impact. An alternative approach is to consider planned, limited duration periods of strict NPIs aiming to purposefully reduce prevalence before such emergency NPIs are required. These “precautionary breaks” may offer a means of keeping control of the epidemic, while their fixed duration and the forewarning may limit their societal impact. Here, using simple analysis and age-structured models matched to the UK SARS-CoV-2 epidemic, we investigate the action of precautionary breaks. In particular we consider their impact on the prevalence of SARS-CoV-2 infection, as well as the total number of predicted hospitalisations and deaths caused by COVID-19 disease. We find that precautionary breaks provide the biggest gains when the growth rate is low, but offer a much needed brake on increasing infection when the growth rate is higher, potentially allowing other measures to regain control.

Keywords

SARS-CoV-2
Covid
Control
Circuit-Break
Non-pharmaceutical interventions

Data availability

Data on cases were obtained from the COVID-19 Hospitalisation in England Surveillance System (CHESS) data set that collects detailed data on patients infected with COVID-19. Data on COVID-19 deaths were obtained from Public Health England. These data contain confidential information, with public data deposition non-permissible for socioeconomic reasons. The CHESS data resides with the National Health Service (https://www.nhs.gov.uk) whilst the death data are available from Public Health England (https://www.phe.gov.uk).

Cited by (0)

1

Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/.

2

These authors contributed equally to this work.