Phylodynamic Dispersal of SARS-CoV-2 Lineages Circulating across Polish-German Border Provinces.
Phylodynamic Dispersal of SARS-CoV-2 Lineages Circulating across Polish-German Border Provinces.
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DOI：
10.3390/v14050884
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发表时间：
2022-04-24
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影响因子：
--
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前言：严重急性呼吸综合征冠状病毒-2(SARS-CoV-2)的出现已经演变为一场全球性的疫情，随着时间的推移，分子水平发生了显著的进化。大规模的系统动力学研究可以绘制病毒传播的图谱，并为预防策略提供信息。目的：为重建SARS-CoV-2传播网络，本研究调查了与波兰和德国接壤的7个边境省份之间SARS-CoV-2谱系的双向扩散程度和动态。方法：根据2020年3月至2021年5月底的三次大流行浪潮，我们分析了19994个序列的数据集，将其分为B.1.1.7|Alpha和非Alpha谱系。我们使用离散扩散模型进行了系统地理分析，以确定病毒传播的途径。结果：根据种群动力学推断，该地区共鉴定出673个非Alpha血统引入(95%HPD区间641-712)和618个(95%HPD区间599-639)B.1.1.7|Alpha血统引入。对于非阿尔法血统，5.05%的两国血统、86.63%的德国血统和8.32%的波兰血统被发现，其中B.1.1.7|阿尔法血统的国际聚集率更高(两国血统的13.11%，德国的68.44%，波兰的18.45%，p<；0.001)。我们为分析的血统确定了关键的传播枢纽，即萨克森、西波美拉尼亚和下西里西亚。结论：波兰和德国之间的聚集性模式反映了边境地区在国际层面上的病毒变异传播动态。追踪病毒在两个毗邻的欧洲大国之间的传播情况，可能会为今后在跨境合作努力中采取干预政策、防止疫情传播提供依据。
Introduction: The emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has evolved into a worldwide outbreak, with significant molecular evolution over time. Large-scale phylodynamic studies allow to map the virus spread and inform preventive strategies. Aim: This study investigates the extent of binational dispersal and dynamics of SARS-CoV-2 lineages between seven border provinces of the adjacent countries of Poland and Germany to reconstruct SARS-CoV-2 transmission networks. Methods: Following three pandemic waves from March 2020 to the end of May 2021, we analysed a dataset of 19,994 sequences divided into B.1.1.7|Alpha and non-Alpha lineage groups. We performed phylogeographic analyses using the discrete diffusion models to identify the pathways of virus spread. Results: Based on population dynamics inferences, in total, 673 lineage introductions (95% HPD interval 641–712) for non-Alpha and 618 (95% HPD interval 599–639) for B.1.1.7|Alpha were identified in the area. For non-Alpha lineages, 5.05% binational, 86.63% exclusively German, and 8.32% Polish clusters were found, with a higher frequency of international clustering observed for B.1.1.7|Alpha (13.11% for binational, 68.44% German and 18.45% Polish, p < 0.001). We identified key transmission hubs for the analysed lineages, namely Saxony, West Pomerania and Lower Silesia. Conclusions: Clustering patterns between Poland and Germany reflect the viral variant transmission dynamics at the international level in the borderline area. Tracing the spread of the virus between two adjacent large European countries may provide a basis for future intervention policies in cross-border cooperation efforts against the spread of the pandemics.
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影响因子：
4.6
作者：
Bollen N;Artesi M;Durkin K;Hong SL;Potter B;Boujemla B;Vanmechelen B;Martí-Carreras J;Wawina-Bokalanga T;Meex C;Bontems S;Hayette MP;André E;Maes P;Bours V;Baele G;Dellicour S
通讯作者：
Dellicour S
影响因子：
10.7
作者：
Dellicour S;Durkin K;Hong SL;Vanmechelen B;Martí-Carreras J;Gill MS;Meex C;Bontems S;André E;Gilbert M;Walker C;Maio N;Faria NR;Hadfield J;Hayette MP;Bours V;Wawina-Bokalanga T;Artesi M;Baele G;Maes P
通讯作者：
Maes P
影响因子：
6.7
作者：
Dellicour S;Hong SL;Vrancken B;Chaillon A;Gill MS;Maurano MT;Ramaswami S;Zappile P;Marier C;Harkins GW;Baele G;Duerr R;Heguy A
通讯作者：
Heguy A
DOI：
10.1098/rstb.2012.0196
发表时间：
2013-03-19
期刊：
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子：
--
作者：
Faria NR;Suchard MA;Rambaut A;Streicker DG;Lemey P
通讯作者：
Lemey P
DOI：
10.2807/1560-7917.es.2021.26.44.2001996
发表时间：
2021-11
期刊：
Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
影响因子：
--
作者：
Duchene S;Featherstone L;Freiesleben de Blasio B;Holmes EC;Bohlin J;Pettersson JH
通讯作者：
Pettersson JH