Wei Hongjie, Zhao Yunkang, Rui Jia, Li Kangguo, Abudunaibi Buasiyamu, Zhao Zeyu, Song Wentao, Wang Yao, Chen Qiuping, Liu Hong, Zhang Shuo, Li Xiaojun, Luo Kaiwei, Gavotte Laurent, Frutos Roger, Chen Tianmu. 2024. Transmissibility of the variant of concern for SARS-CoV-2 in six regions. Heliyon, 10 (11):e32164, 10 p.
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Url - autres données associées : https://github.com/hodcroftlab/covariants
Résumé : Introduction: Differences in transmissibility of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) in different districts are hard to assess. To address this, our study focused on calculating the Real-time reproduction number (Rt) for these variants in different regions. Methods: According to the criteria defined by the World Health Organization (WHO), the global landscape was categorized into six distinct regions. In each region, the predominant SARS-CoV-2 variant was first identified based on the proportion of variant sequencing analysis results. Then, using serial interval (SI) parameters, we calculated Rt for the relevant Variant of Concern (VOC) in each region. This approach enabled us to compare the Rt values of the same variant across different regions and analyze the transmissibility of each region's variant in relation to the overall situation in that region. Results: The progression of VOC for SARS-CoV-2 shows regional variations. However, a common sequence of evolution is observed: Wild-type → Alpha → Beta → Delta → Omicron. Moreover, an increasing trend is discerned within diverse regions where the shift in Rt of distinct VOC corresponds with the overarching Rt route of SARS-CoV-2 in specific regions. Conclusion: As the COVID-19 pandemic advances, regional epidemiological trends are aligning, likely due to similar virus mutations and shared public health strategies, suggesting opportunities for standardized global responses.
Mots-clés Agrovoc : transmission des maladies, coronavirus 2 du syndrome respiratoire aigu sévère, covid-19, épidémiologie, pandémie
Mots-clés libres : SARS-CoV-2 variants, COVID-19, Modeling, China
Classification Agris : S50 - Santé humaine
Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes
Agences de financement hors UE : National Key Research and Development Program of China, Guangzhou Laboratory
Auteurs et affiliations
- Wei Hongjie, Xiamen University (CHN)
- Zhao Yunkang, Xiamen University (CHN)
- Rui Jia, Xiamen University (CHN)
- Li Kangguo, Xiamen University (CHN)
- Abudunaibi Buasiyamu, Xiamen University (CHN)
- Zhao Zeyu, Xiamen University (CHN)
- Song Wentao, Xiamen University (CHN)
- Wang Yao, Xiamen University (CHN)
- Chen Qiuping, Xiamen University (CHN)
- Liu Hong, Xiamen University (CHN)
- Zhang Shuo, Xiamen University (CHN)
- Li Xiaojun, Hunan Provincial Center for Disease Control and Prevention (CHN)
- Luo Kaiwei, Hunan Provincial Center for Disease Control and Prevention (CHN)
- Gavotte Laurent, Université de Montpellier (FRA) - auteur correspondant
- Frutos Roger, CIRAD-BIOS-UMR INTERTRYP (FRA) - auteur correspondant
- Chen Tianmu, Xiamen University (CHN) - auteur correspondant
Source : Cirad-Agritrop (https://agritrop.cirad.fr/612133/)
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