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Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022

BACKGROUND: The epidemiological characteristics and transmissibility of Coronavirus Disease 2019 (COVID-19) may undergo changes due to the mutation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) strains. The purpose of this study is to compare the differences in the outbreaks of the...

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Autores principales: Niu, Yan, Luo, Li, Yang, Shiting, Abudurusuli, Guzainuer, Wang, Xiaoye, Zhao, Zeyu, Rui, Jia, Li, Zhuoyang, Deng, Bin, Liu, Weikang, Zhang, Zhe, Li, Kangguo, Liu, Chan, Li, Peihua, Huang, Jiefeng, Yang, Tianlong, Wang, Yao, Chen, Tianmu, Li, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521362/
https://www.ncbi.nlm.nih.gov/pubmed/36187650
http://dx.doi.org/10.3389/fpubh.2022.949594
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author Niu, Yan
Luo, Li
Yang, Shiting
Abudurusuli, Guzainuer
Wang, Xiaoye
Zhao, Zeyu
Rui, Jia
Li, Zhuoyang
Deng, Bin
Liu, Weikang
Zhang, Zhe
Li, Kangguo
Liu, Chan
Li, Peihua
Huang, Jiefeng
Yang, Tianlong
Wang, Yao
Chen, Tianmu
Li, Qun
author_facet Niu, Yan
Luo, Li
Yang, Shiting
Abudurusuli, Guzainuer
Wang, Xiaoye
Zhao, Zeyu
Rui, Jia
Li, Zhuoyang
Deng, Bin
Liu, Weikang
Zhang, Zhe
Li, Kangguo
Liu, Chan
Li, Peihua
Huang, Jiefeng
Yang, Tianlong
Wang, Yao
Chen, Tianmu
Li, Qun
author_sort Niu, Yan
collection PubMed
description BACKGROUND: The epidemiological characteristics and transmissibility of Coronavirus Disease 2019 (COVID-19) may undergo changes due to the mutation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) strains. The purpose of this study is to compare the differences in the outbreaks of the different strains with regards to aspects such as epidemiological characteristics, transmissibility, and difficulties in prevention and control. METHODS: COVID-19 data from outbreaks of pre-Delta strains, the Delta variant and Omicron variant, were obtained from the Chinese Center for Disease Control and Prevention (CDC). Case data were collected from China's direct-reporting system, and the data concerning outbreaks were collected by on-site epidemiological investigators and collated by the authors of this paper. Indicators such as the effective reproduction number (R(eff)), time-dependent reproduction number (R(t)), rate of decrease in transmissibility (RDT), and duration from the illness onset date to the diagnosed date (D(ID))/reported date (D(IR)) were used to compare differences in transmissibility between pre-Delta strains, Delta variants and Omicron variants. Non-parametric tests (namely the Kruskal-Wallis H and Mean-Whitney U tests) were used to compare differences in epidemiological characteristics and transmissibility between outbreaks of different strains. P < 0.05 indicated that the difference was statistically significant. RESULTS: Mainland China has maintained a “dynamic zero-out strategy” since the first case was reported, and clusters of outbreaks have occurred intermittently. The strains causing outbreaks in mainland China have gone through three stages: the outbreak of pre-Delta strains, the outbreak of the Delta variant, and outbreaks involving the superposition of Delta and Omicron variant strains. Each outbreak of pre-Delta strains went through two stages: a rising stage and a falling stage, Each outbreak of the Delta variant and Omicron variant went through three stages: a rising stage, a platform stage and a falling stage. The maximum R(eff) value of Omicron variant outbreaks was highest (median: 6.7; ranged from 5.3 to 8.0) and the differences were statistically significant. The RDT value of outbreaks involving pre-Delta strains was smallest (median: 91.4%; [IQR]: 87.30–94.27%), and the differences were statistically significant. The D(ID) and D(IR) for all strains was mostly in a range of 0–2 days, with more than 75%. The range of duration for outbreaks of pre-Delta strains was the largest (median: 20 days, ranging from 1 to 61 days), and the differences were statistically significant. CONCLUSION: With the evolution of the virus, the transmissibility of the variants has increased. The transmissibility of the Omicron variant is higher than that of both the pre-Delta strains and the Delta variant, and is more difficult to suppress. These findings provide us with get a more clear and precise picture of the transmissibility of the different variants in the real world, in accordance with the findings of previous studies. R(eff) is more suitable than R(t) for assessing the transmissibility of the disease during an epidemic outbreak.
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spelling pubmed-95213622022-09-30 Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022 Niu, Yan Luo, Li Yang, Shiting Abudurusuli, Guzainuer Wang, Xiaoye Zhao, Zeyu Rui, Jia Li, Zhuoyang Deng, Bin Liu, Weikang Zhang, Zhe Li, Kangguo Liu, Chan Li, Peihua Huang, Jiefeng Yang, Tianlong Wang, Yao Chen, Tianmu Li, Qun Front Public Health Public Health BACKGROUND: The epidemiological characteristics and transmissibility of Coronavirus Disease 2019 (COVID-19) may undergo changes due to the mutation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) strains. The purpose of this study is to compare the differences in the outbreaks of the different strains with regards to aspects such as epidemiological characteristics, transmissibility, and difficulties in prevention and control. METHODS: COVID-19 data from outbreaks of pre-Delta strains, the Delta variant and Omicron variant, were obtained from the Chinese Center for Disease Control and Prevention (CDC). Case data were collected from China's direct-reporting system, and the data concerning outbreaks were collected by on-site epidemiological investigators and collated by the authors of this paper. Indicators such as the effective reproduction number (R(eff)), time-dependent reproduction number (R(t)), rate of decrease in transmissibility (RDT), and duration from the illness onset date to the diagnosed date (D(ID))/reported date (D(IR)) were used to compare differences in transmissibility between pre-Delta strains, Delta variants and Omicron variants. Non-parametric tests (namely the Kruskal-Wallis H and Mean-Whitney U tests) were used to compare differences in epidemiological characteristics and transmissibility between outbreaks of different strains. P < 0.05 indicated that the difference was statistically significant. RESULTS: Mainland China has maintained a “dynamic zero-out strategy” since the first case was reported, and clusters of outbreaks have occurred intermittently. The strains causing outbreaks in mainland China have gone through three stages: the outbreak of pre-Delta strains, the outbreak of the Delta variant, and outbreaks involving the superposition of Delta and Omicron variant strains. Each outbreak of pre-Delta strains went through two stages: a rising stage and a falling stage, Each outbreak of the Delta variant and Omicron variant went through three stages: a rising stage, a platform stage and a falling stage. The maximum R(eff) value of Omicron variant outbreaks was highest (median: 6.7; ranged from 5.3 to 8.0) and the differences were statistically significant. The RDT value of outbreaks involving pre-Delta strains was smallest (median: 91.4%; [IQR]: 87.30–94.27%), and the differences were statistically significant. The D(ID) and D(IR) for all strains was mostly in a range of 0–2 days, with more than 75%. The range of duration for outbreaks of pre-Delta strains was the largest (median: 20 days, ranging from 1 to 61 days), and the differences were statistically significant. CONCLUSION: With the evolution of the virus, the transmissibility of the variants has increased. The transmissibility of the Omicron variant is higher than that of both the pre-Delta strains and the Delta variant, and is more difficult to suppress. These findings provide us with get a more clear and precise picture of the transmissibility of the different variants in the real world, in accordance with the findings of previous studies. R(eff) is more suitable than R(t) for assessing the transmissibility of the disease during an epidemic outbreak. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9521362/ /pubmed/36187650 http://dx.doi.org/10.3389/fpubh.2022.949594 Text en Copyright © 2022 Niu, Luo, Yang, Abudurusuli, Wang, Zhao, Rui, Li, Deng, Liu, Zhang, Li, Liu, Li, Huang, Yang, Wang, Chen and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Niu, Yan
Luo, Li
Yang, Shiting
Abudurusuli, Guzainuer
Wang, Xiaoye
Zhao, Zeyu
Rui, Jia
Li, Zhuoyang
Deng, Bin
Liu, Weikang
Zhang, Zhe
Li, Kangguo
Liu, Chan
Li, Peihua
Huang, Jiefeng
Yang, Tianlong
Wang, Yao
Chen, Tianmu
Li, Qun
Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022
title Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022
title_full Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022
title_fullStr Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022
title_full_unstemmed Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022
title_short Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022
title_sort comparison of epidemiological characteristics and transmissibility of different strains of covid-19 based on the incidence data of all local outbreaks in china as of march 1, 2022
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521362/
https://www.ncbi.nlm.nih.gov/pubmed/36187650
http://dx.doi.org/10.3389/fpubh.2022.949594
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