• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Infect Dis Model . Assessing the effectiveness of the intervention measures of COVID-19 in China based on dynamical method

tetano

Editor, Senior Moderator
Infect Dis Model


. 2023 Jan 5.
doi: 10.1016/j.idm.2022.12.007. Online ahead of print.
Assessing the effectiveness of the intervention measures of COVID-19 in China based on dynamical method


Xiaomeng Wei[SUP] 1 2 3 [/SUP], Mingtao Li[SUP] 4 [/SUP], Xin Pei[SUP] 4 [/SUP], Zhiping Liu[SUP] 5 [/SUP], Juan Zhang[SUP] 1 2 [/SUP]



Affiliations

Abstract

Normalized interventions were implemented in different cities in China to contain the outbreak of COVID-19 before December 2022. However, the differences in the intensity and timeliness of the implementations lead to differences in final size of the infections. Taking the outbreak of COVID-19 in three representative cities Xi'an, Zhengzhou and Yuzhou in January 2022, as examples, we develop a compartmental model to describe the spread of novel coronavirus and implementation of interventions to assess concretely the effectiveness of Chinese interventions and explore their impact on epidemic patterns. After applying reported human confirmed cases to verify the rationality of the model, we apply the model to speculate transmission trend and length of concealed period at the initial spread phase of the epidemic (they are estimated as 10.5, 7.8, 8.2 days, respectively), to estimate the range of basic reproduction number (2.9, 0.7, 1.6), and to define two indexes (transmission rate v [SUB]t[/SUB] and controlled rate v [SUB]c[/SUB] ) to evaluate the overall effect of the interventions. It is shown that for Zhengzhou, v [SUB]c[/SUB] is always more than v [SUB]t[/SUB] with regular interventions, and Xi'an take 8 days to achieve v [SUB]c[/SUB] > v [SUB]t[/SUB] twice as long as Yuzhou, which can interpret the fact that the epidemic situation in Xi'an was more severe. By carrying out parameter values, it is concluded that in the early stage, strengthening the precision of close contact tracking and frequency of large-scale nucleic acid testing of non-quarantined population are the most effective on controlling the outbreaks and reducing final size. And, if the close contact tracking strategy is sufficiently implemented, at the late stage large-scale nucleic acid testing of non-quarantined population is not essential.

Keywords: COVID-19; Close contact tracking; Dynamics; Large-scale nucleic acid testing; Sensitivity analysis; The basic reproduction number.
 
Back
Top Bottom