Quantifying competitive advantages of mutant strains in a population involving importation and mass vaccination rollout.
| Autor: | Xia F; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China., Yang X; School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710119, China., Cheke RA; Natural Resources Institute, University of Greenwich at Medway, Central Avenue, Chatham Maritime, Kent, ME4 4B, UK., Xiao Y; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China. |
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| Jazyk: | angličtina |
| Zdroj: | Infectious Disease Modelling [Infect Dis Model] 2021; Vol. 6, pp. 988-996. Date of Electronic Publication: 2021 Aug 08. |
| DOI: | 10.1016/j.idm.2021.08.001 |
| Abstrakt: | The SARS-CoV-2 Delta variant, known as B.1.617.2 and first identified in India, is becoming a dominant strain in many countries due to its extreme infectiousness. Assessing and quantifying the transmissibility and competitive advantage of the Delta variant is of major significance for countries around the world so that appropriate measures to mitigate and even eliminate the epidemic can be introduced. Aiming at such problems, we proposed a method to model the invasion process of a novel strain and estimate the competitive advantage of the invading strain over the local strain. We applied this method to study the invasion and spread of the Delta variant into England. We have estimated the basic reproduction number of the Delta variant as being 49% higher than that of the Alpha variant (CI: 45-52%), assuming a mean generation interval of 5 days with a standard deviation of 3 days. In the period 11 April to 17 May 2021, the effective reproduction number of the Delta variant was 65% higher than that of the Alpha variant in England (CI: 61-70%). Our results show that the Delta variant has a significantly higher transmission capacity than other strains, which explains the rebound of the epidemic in many countries, even in those with relatively high vaccination coverages. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2021 The Authors.) |
| Databáze: | MEDLINE |
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