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A comparative study on the three calculation methods for reproduction numbers of COVID-19
OBJECTIVE: This study uses four COVID-19 outbreaks as examples to calculate and compare merits and demerits, as well as applicational scenarios, of three methods for calculating reproduction numbers. METHOD: The epidemiological characteristics of the COVID-19 outbreaks are described. Through the def...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849755/ https://www.ncbi.nlm.nih.gov/pubmed/36687425 http://dx.doi.org/10.3389/fmed.2022.1079842 |
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author | Abudunaibi, Buasiyamu Liu, Weikang Guo, Zhinan Zhao, Zeyu Rui, Jia Song, Wentao Wang, Yao Chen, Qiuping Frutos, Roger Su, Chenghao Chen, Tianmu |
author_facet | Abudunaibi, Buasiyamu Liu, Weikang Guo, Zhinan Zhao, Zeyu Rui, Jia Song, Wentao Wang, Yao Chen, Qiuping Frutos, Roger Su, Chenghao Chen, Tianmu |
author_sort | Abudunaibi, Buasiyamu |
collection | PubMed |
description | OBJECTIVE: This study uses four COVID-19 outbreaks as examples to calculate and compare merits and demerits, as well as applicational scenarios, of three methods for calculating reproduction numbers. METHOD: The epidemiological characteristics of the COVID-19 outbreaks are described. Through the definition method, the next-generation matrix-based method, and the epidemic curve and serial interval (SI)-based method, corresponding reproduction numbers were obtained and compared. RESULTS: Reproduction numbers (R(eff)), obtained by the definition method of the four regions, are 1.20, 1.14, 1.66, and 1.12. Through the next generation matrix method, in region H R(eff) = 4.30, 0.44; region P R(eff) = 6.5, 1.39, 0; region X R(eff) = 6.82, 1.39, 0; and region Z R(eff) = 2.99, 0.65. Time-varying reproduction numbers (R(t)), which are attained by SI of onset dates, are decreasing with time. Region H reached its highest R(t) = 2.8 on July 29 and decreased to R(t) < 1 after August 4; region P reached its highest R(t) = 5.8 on September 9 and dropped to R(t) < 1 by September 14; region X had a fluctuation in the R(t) and R(t) < 1 after September 22; R(t) in region Z reached a maximum of 1.8 on September 15 and decreased continuously to R(t) < 1 on September 19. CONCLUSION: The reproduction number obtained by the definition method is optimal in the early stage of epidemics with a small number of cases that have clear transmission chains to predict the trend of epidemics accurately. The effective reproduction number R(eff), calculated by the next generation matrix, could assess the scale of the epidemic and be used to evaluate the effectiveness of prevention and control measures used in epidemics with a large number of cases. Time-varying reproduction number R(t), obtained via epidemic curve and SI, can give a clear picture of the change in transmissibility over time, but the conditions of use are more rigorous, requiring a greater sample size and clear transmission chains to perform the calculation. The rational use of the three methods for reproduction numbers plays a role in the further study of the transmissibility of COVID-19. |
format | Online Article Text |
id | pubmed-9849755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98497552023-01-20 A comparative study on the three calculation methods for reproduction numbers of COVID-19 Abudunaibi, Buasiyamu Liu, Weikang Guo, Zhinan Zhao, Zeyu Rui, Jia Song, Wentao Wang, Yao Chen, Qiuping Frutos, Roger Su, Chenghao Chen, Tianmu Front Med (Lausanne) Medicine OBJECTIVE: This study uses four COVID-19 outbreaks as examples to calculate and compare merits and demerits, as well as applicational scenarios, of three methods for calculating reproduction numbers. METHOD: The epidemiological characteristics of the COVID-19 outbreaks are described. Through the definition method, the next-generation matrix-based method, and the epidemic curve and serial interval (SI)-based method, corresponding reproduction numbers were obtained and compared. RESULTS: Reproduction numbers (R(eff)), obtained by the definition method of the four regions, are 1.20, 1.14, 1.66, and 1.12. Through the next generation matrix method, in region H R(eff) = 4.30, 0.44; region P R(eff) = 6.5, 1.39, 0; region X R(eff) = 6.82, 1.39, 0; and region Z R(eff) = 2.99, 0.65. Time-varying reproduction numbers (R(t)), which are attained by SI of onset dates, are decreasing with time. Region H reached its highest R(t) = 2.8 on July 29 and decreased to R(t) < 1 after August 4; region P reached its highest R(t) = 5.8 on September 9 and dropped to R(t) < 1 by September 14; region X had a fluctuation in the R(t) and R(t) < 1 after September 22; R(t) in region Z reached a maximum of 1.8 on September 15 and decreased continuously to R(t) < 1 on September 19. CONCLUSION: The reproduction number obtained by the definition method is optimal in the early stage of epidemics with a small number of cases that have clear transmission chains to predict the trend of epidemics accurately. The effective reproduction number R(eff), calculated by the next generation matrix, could assess the scale of the epidemic and be used to evaluate the effectiveness of prevention and control measures used in epidemics with a large number of cases. Time-varying reproduction number R(t), obtained via epidemic curve and SI, can give a clear picture of the change in transmissibility over time, but the conditions of use are more rigorous, requiring a greater sample size and clear transmission chains to perform the calculation. The rational use of the three methods for reproduction numbers plays a role in the further study of the transmissibility of COVID-19. Frontiers Media S.A. 2023-01-05 /pmc/articles/PMC9849755/ /pubmed/36687425 http://dx.doi.org/10.3389/fmed.2022.1079842 Text en Copyright © 2023 Abudunaibi, Liu, Guo, Zhao, Rui, Song, Wang, Chen, Frutos, Su and Chen. 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 | Medicine Abudunaibi, Buasiyamu Liu, Weikang Guo, Zhinan Zhao, Zeyu Rui, Jia Song, Wentao Wang, Yao Chen, Qiuping Frutos, Roger Su, Chenghao Chen, Tianmu A comparative study on the three calculation methods for reproduction numbers of COVID-19 |
title | A comparative study on the three calculation methods for reproduction numbers of COVID-19 |
title_full | A comparative study on the three calculation methods for reproduction numbers of COVID-19 |
title_fullStr | A comparative study on the three calculation methods for reproduction numbers of COVID-19 |
title_full_unstemmed | A comparative study on the three calculation methods for reproduction numbers of COVID-19 |
title_short | A comparative study on the three calculation methods for reproduction numbers of COVID-19 |
title_sort | comparative study on the three calculation methods for reproduction numbers of covid-19 |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849755/ https://www.ncbi.nlm.nih.gov/pubmed/36687425 http://dx.doi.org/10.3389/fmed.2022.1079842 |
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