tetano
Editor, Senior Moderator
J Med Virol. 2020 Mar 6. doi: 10.1002/jmv.25750. [Epub ahead of print] [h=1]Transmission dynamics of the COVID-19 outbreak and effectiveness of government interventions: A data-driven analysis.[/h]
Fang Y[SUP]1[/SUP], Nie Y[SUP]2[/SUP], Penny M[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Using the parameterized SEIR model, we simulated the spread dynamics of COVID-19 outbreak and impact of different control measures, conducted the sensitivity analysis to identify the key factor, plotted the trend curve of effective reproductive number(R) and performed data fitting after the simulation. By simulation and data fitting, the model showed the peak existing confirmed cases of 59769 arriving on 15 February 2020, with coefficient of determination close to 1 and the fitting bias 3.02%, suggesting high precision of the data fitting results. More rigorous government control policies were associated with slower increase of the infected population. Isolation and protective procedures would be less effective as more cases accrue, so the optimization of treatment plan and the development of specific drugs would be of more importance. There was an upward trend of R in the beginning, followed by a downward trend, a temporary rebound and another continuous decline. The feature of high infectiousness for sars-cov-2 led to the upward trend, and government measures contributed to the temporary rebound and declines. The declines of R could be exploited as strong evidence for the effectiveness of the interventions. Evidence from the four-phase stringent measures showed that it was significant to ensure early detection, early isolation, early treatment, adequate medical supplies, patients' being admitted to designated hospitals and comprehensive therapeutic strategy. Collaborative efforts are required to combat the novel coronavirus, focusing on both persistent strict domestic interventions and vigilance against exogenous imported cases. This article is protected by copyright. All rights reserved.
This article is protected by copyright. All rights reserved.
[h=4]KEYWORDS:[/h] COVID-19; SARS-CoV-2; SEIR; basic reproductive number; data fitting; data simulation; effective reproductive number; effectiveness; intervention; sensitivity analysis; transmission
PMID: 32141624 DOI: 10.1002/jmv.25750
Fang Y[SUP]1[/SUP], Nie Y[SUP]2[/SUP], Penny M[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Using the parameterized SEIR model, we simulated the spread dynamics of COVID-19 outbreak and impact of different control measures, conducted the sensitivity analysis to identify the key factor, plotted the trend curve of effective reproductive number(R) and performed data fitting after the simulation. By simulation and data fitting, the model showed the peak existing confirmed cases of 59769 arriving on 15 February 2020, with coefficient of determination close to 1 and the fitting bias 3.02%, suggesting high precision of the data fitting results. More rigorous government control policies were associated with slower increase of the infected population. Isolation and protective procedures would be less effective as more cases accrue, so the optimization of treatment plan and the development of specific drugs would be of more importance. There was an upward trend of R in the beginning, followed by a downward trend, a temporary rebound and another continuous decline. The feature of high infectiousness for sars-cov-2 led to the upward trend, and government measures contributed to the temporary rebound and declines. The declines of R could be exploited as strong evidence for the effectiveness of the interventions. Evidence from the four-phase stringent measures showed that it was significant to ensure early detection, early isolation, early treatment, adequate medical supplies, patients' being admitted to designated hospitals and comprehensive therapeutic strategy. Collaborative efforts are required to combat the novel coronavirus, focusing on both persistent strict domestic interventions and vigilance against exogenous imported cases. This article is protected by copyright. All rights reserved.
This article is protected by copyright. All rights reserved.
[h=4]KEYWORDS:[/h] COVID-19; SARS-CoV-2; SEIR; basic reproductive number; data fitting; data simulation; effective reproductive number; effectiveness; intervention; sensitivity analysis; transmission
PMID: 32141624 DOI: 10.1002/jmv.25750