Literature DB >> 33707546

Determining the level of social distancing necessary to avoid future COVID-19 epidemic waves: a modelling study for North East London.

Nathan Cheetham1, Jasmina Panovska-Griffiths2,3,4, William Waites5, Irene Ebyarimpa1, Werner Leber6, Katie Brennan1.   

Abstract

Determining the level of social distancing, quantified here as the reduction in daily number of social contacts per person, i.e. the daily contact rate, needed to maintain control of the COVID-19 epidemic and not exceed acute bed capacity in case of future epidemic waves, is important for future planning of relaxing of strict social distancing measures. This work uses mathematical modelling to simulate the levels of COVID-19 in North East London (NEL) and inform the level of social distancing necessary to protect the public and the healthcare demand from future COVID-19 waves. We used a Susceptible-Exposed-Infected-Removed (SEIR) model describing the transmission of SARS-CoV-2 in NEL, calibrated to data on hospitalised patients with confirmed COVID-19, hospital discharges and in-hospital deaths in NEL during the first epidemic wave. To account for the uncertainty in both the infectiousness period and the proportion of symptomatic infection, we simulated nine scenarios for different combinations of infectiousness period (1, 3 and 5 days) and proportion of symptomatic infection (70%, 50% and 25% of all infections). Across all scenarios, the calibrated model was used to assess the risk of occurrence and predict the strength and timing of a second COVID-19 wave under varying levels of daily contact rate from July 04, 2020. Specifically, the daily contact rate required to suppress the epidemic and prevent a resurgence of COVID-19 cases, and the daily contact rate required to stay within the acute bed capacity of the NEL system without any additional intervention measures after July 2020, were determined across the nine different scenarios. Our results caution against a full relaxing of the lockdown later in 2020, predicting that a return to pre-COVID-19 levels of social contact from July 04, 2020, would induce a second wave up to eight times the original wave. With different levels of ongoing social distancing, future resurgence can be avoided, or the strength of the resurgence can be mitigated. Keeping the daily contact rate lower than 5 or 6, depending on scenarios, can prevent an increase in the number of COVID-19 cases, could keep the effective reproduction number Re below 1 and a secondary COVID-19 wave may be avoided in NEL. A daily contact rate between 6 and 7, across scenarios, is likely to increase Re above 1 and result in a secondary COVID-19 wave with significantly increased COVID-19 cases and associated deaths, but with demand for hospital-based care remaining within the bed capacity of the NEL health and care system. In contrast, an increase in daily contact rate above 8 to 9, depending on scenarios, will likely exceed the acute bed capacity in NEL and may potentially require additional lockdowns. This scenario is associated with significantly increased COVID-19 cases and deaths, and acute COVID-19 care demand is likely to require significant scaling down of the usual operation of the health and care system and should be avoided. Our findings suggest that to avoid future COVID-19 waves and to stay within the acute bed capacity of the NEL health and care system, maintaining social distancing in NEL is advised with a view to limiting the average number of social interactions in the population. Increasing the level of social interaction beyond the limits described in this work could result in future COVID-19 waves that will likely exceed the acute bed capacity in the system, and depending on the strength of the resurgence may require additional lockdown measures.

Entities:  

Year:  2021        PMID: 33707546      PMCID: PMC7952900          DOI: 10.1038/s41598-021-84907-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  14 in total

1.  Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis.

Authors:  Derek K Chu; Elie A Akl; Stephanie Duda; Karla Solo; Sally Yaacoub; Holger J Schünemann
Journal:  Lancet       Date:  2020-06-01       Impact factor: 79.321

Review 2.  A systematic review of asymptomatic infections with COVID-19.

Authors:  Zhiru Gao; Yinghui Xu; Chao Sun; Xu Wang; Ye Guo; Shi Qiu; Kewei Ma
Journal:  J Microbiol Immunol Infect       Date:  2020-05-15       Impact factor: 4.399

3.  Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies.

Authors:  Matt J Keeling; Edward M Hill; Erin E Gorsich; Bridget Penman; Glen Guyver-Fletcher; Alex Holmes; Trystan Leng; Hector McKimm; Massimiliano Tamborrino; Louise Dyson; Michael J Tildesley
Journal:  PLoS Comput Biol       Date:  2021-01-22       Impact factor: 4.475

4.  Testing, tracing and isolation in compartmental models.

Authors:  Simone Sturniolo; William Waites; Tim Colbourn; David Manheim; Jasmina Panovska-Griffiths
Journal:  PLoS Comput Biol       Date:  2021-03-04       Impact factor: 4.475

5.  It Is Time to Address Airborne Transmission of Coronavirus Disease 2019 (COVID-19).

Authors:  Lidia Morawska; Donald K Milton
Journal:  Clin Infect Dis       Date:  2020-12-03       Impact factor: 9.079

6.  Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: a modelling study.

Authors:  Jasmina Panovska-Griffiths; Cliff C Kerr; Robyn M Stuart; Dina Mistry; Daniel J Klein; Russell M Viner; Chris Bonell
Journal:  Lancet Child Adolesc Health       Date:  2020-08-03

7.  Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK.

Authors:  Christopher I Jarvis; Kevin Van Zandvoort; Amy Gimma; Kiesha Prem; Petra Klepac; G James Rubin; W John Edmunds
Journal:  BMC Med       Date:  2020-05-07       Impact factor: 8.775

8.  The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application.

Authors:  Stephen A Lauer; Kyra H Grantz; Qifang Bi; Forrest K Jones; Qulu Zheng; Hannah R Meredith; Andrew S Azman; Nicholas G Reich; Justin Lessler
Journal:  Ann Intern Med       Date:  2020-03-10       Impact factor: 25.391

9.  Can mathematical modelling solve the current Covid-19 crisis?

Authors:  Jasmina Panovska-Griffiths
Journal:  BMC Public Health       Date:  2020-04-24       Impact factor: 3.295

10.  Prevalence of suspected COVID-19 infection in patients from ethnic minority populations: a cross-sectional study in primary care.

Authors:  Sally A Hull; Crystal Williams; Mark Ashworth; Chris Carvalho; Kambiz Boomla
Journal:  Br J Gen Pract       Date:  2020-10-01       Impact factor: 5.386

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  6 in total

1.  Modeling waning and boosting of COVID-19 in Canada with vaccination.

Authors:  Lauren Childs; David W Dick; Zhilan Feng; Jane M Heffernan; Jing Li; Gergely Röst
Journal:  Epidemics       Date:  2022-05-25       Impact factor: 5.324

2.  A machine learning analysis of the relationship of demographics and social gathering attendance from 41 countries during pandemic.

Authors:  Barnabas Szaszi; Nandor Hajdu; Peter Szecsi; Elizabeth Tipton; Balazs Aczel
Journal:  Sci Rep       Date:  2022-01-14       Impact factor: 4.379

3.  Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework.

Authors:  Chathika Gunaratne; Rene Reyes; Erik Hemberg; Una-May O'Reilly
Journal:  Sci Rep       Date:  2022-04-13       Impact factor: 4.379

4.  Reformulating the susceptible-infectious-removed model in terms of the number of detected cases: well-posedness of the observational model.

Authors:  Eduard Campillo-Funollet; Hayley Wragg; James Van Yperen; Duc-Lam Duong; Anotida Madzvamuse
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-08-15       Impact factor: 4.019

5.  Detection of multiple waves for COVID-19 and its optimal control through media awareness and vaccination: study based on some Indian states.

Authors:  Tridip Sardar; Sk Shahid Nadim; Sourav Rana
Journal:  Nonlinear Dyn       Date:  2022-10-06       Impact factor: 5.741

Review 6.  Exit strategies from lockdowns due to COVID-19: a scoping review.

Authors:  Madhavi Misra; Harsha Joshi; Rakesh Sarwal; Krishna D Rao
Journal:  BMC Public Health       Date:  2022-03-12       Impact factor: 3.295

  6 in total

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