ArticleScientific reports2021
The effect of multiple interventions to balance healthcare demand for controlling COVID-19 outbreaks: a modelling study.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control.Information sciences · 2023Article
- Modelling COVID-19 pandemic control strategies in metropolitan and rural health districts in New South Wales, Australia.Scientific reports · 2023Article
- Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study.Journal of business research · 2023Article
- Mathematical analysis of a COVID-19 model with double dose vaccination in Bangladesh.Results in physics · 2022Article
- Testing and isolation to prevent overloaded healthcare facilities and reduce death rates in the SARS-CoV-2 pandemic in Italy.Communications medicine · 2022Article
- The effect of multiple interventions to balance healthcare demand for controlling COVID-19 outbreaks: a modelling study.Scientific reports · 2021Article
- ANN Assisted-IoT Enabled COVID-19 Patient Monitoring.IEEE access : practical innovations, open solutions · 2021Article
- Estimating the parameters of susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods.Chaos, solitons, and fractals · 2020Article
- Feasibility study of mitigation and suppression strategies for controlling COVID-19 outbreaks in London and Wuhan.PloS one · 2020Article
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Authors and funding
8 authors.
Funding
Abstract
For controlling recent COVID-19 outbreaks around the world, many countries have implemented suppression and mitigation interventions. This work aims to conduct a feasibility study for accessing the effect of multiple interventions to control the COVID-19 breakouts in the UK and other European countries, accounting for balance of healthcare demand. The model is to infer the impact of mitigation, suppression and multiple rolling interventions for controlling COVID-19 outbreaks in the UK, with two features considered: direct link between exposed and recovered population, and practical healthcare demand by separation of infections. We combined the calibrated model with COVID-19 data in London and non-London regions in the UK during February and April 2020. Our finding suggests that rolling intervention is an optimal strategy to effectively control COVID-19 outbreaks in the UK for balancing healthcare demand and morality ratio. It is better to implement regional based interventions with varied intensities and maintenance periods. We suggest an intervention strategy named as "Besieged and rolling interventions" to the UK that take a consistent suppression in London for 100 days and 3 weeks rolling intervention in other regions. This strategy would reduce the overall infections and deaths of COVID-19 outbreaks, and balance healthcare demand in the UK.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.