ArticlePloS one2020
Feasibility study of mitigation and suppression strategies for controlling COVID-19 outbreaks in London and Wuhan.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 49 citations in OpenAlex.
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- The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control: the value and limitations of early models.Proceedings. Biological sciences · 2021Article
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- The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories.BMC medicine · 2021Article
- The effect of multiple interventions to balance healthcare demand for controlling COVID-19 outbreaks: a modelling study.Scientific reports · 2021Article
- Three pre-vaccine responses to Covid-like epidemics.PloS one · 2021Article
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- Post-lockdown abatement of COVID-19 by fast periodic switching.PLoS computational biology · 2021Article
- Impact of the COVID-19 pandemic on the lifestyle, mental health, and quality of life of adults in South Korea.PloS one · 2021Article
- The exposure risk to COVID-19 in most affected countries: A vulnerability assessment model.PloS one · 2021Article
- Control strategies for COVID-19 epidemic with vaccination, shield immunity and quarantine: A metric temporal logic approach.PloS one · 2021Article
- IoT-based analysis for controlling & spreading prediction of COVID-19 in Saudi Arabia.Soft computing · 2021Article
- ANN Assisted-IoT Enabled COVID-19 Patient Monitoring.IEEE access : practical innovations, open solutions · 2021Article
- A quantitative framework for exploring exit strategies from the COVID-19 lockdown.Chaos, solitons, and fractals · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent outbreaks of coronavirus disease 2019 (COVID-19) has led a global pandemic cross the world. Most countries took two main interventions: suppression like immediate lockdown cities at epicenter or mitigation that slows down but not stopping epidemic for reducing peak healthcare demand. Both strategies have their apparent merits and limitations; it becomes extremely hard to conduct one intervention as the most feasible way to all countries. Targeting at this problem, this paper conducted a feasibility study by defining a mathematical model named SEMCR, it extended traditional SEIR (Susceptible-Exposed-Infectious-Recovered) model by adding two key features: a direct connection between Exposed and Recovered populations, and separating infections into mild and critical cases. It defined parameters to classify two stages of COVID-19 control: active contain by isolation of cases and contacts, passive contain by suppression or mitigation. The model was fitted and evaluated with public dataset containing daily number of confirmed active cases including Wuhan and London during January 2020 and March 2020. The simulated results showed that 1) Immediate suppression taken in Wuhan significantly reduced the total exposed and infectious populations, but it has to be consistently maintained at least 90 days (by the middle of April 2020). Without taking this intervention, we predict the number of infections would have been 73 folders higher by the middle of April 2020. Its success requires efficient government initiatives and effective collaborative governance for mobilizing of corporate resources to provide essential goods. This mode may be not suitable to other countries without efficient collaborative governance and sufficient health resources. 2) In London, it is possible to take a hybrid intervention of suppression and mitigation for every 2 or 3 weeks over a longer period to balance the total infections and economic loss. While the total infectious populations in this scenario would be possibly 2 times than the one taking suppression, economic loss and recovery of London would be less affected. 3) Both in Wuhan and London cases, one important issue of fitting practical data was that there were a portion (probably 62.9% in Wuhan) of self-recovered populations that were asymptomatic or mild symptomatic. This finding has been recently confirmed by other studies that the seroprevalence in Wuhan varied between 3.2% and 3.8% in different sub-regions. It highlights that the epidemic is far from coming to an end by means of herd immunity. Early release of intervention intensity potentially increased a risk of the second outbreak.
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