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1993 - 2018年南非小农户农场非洲猪瘟疫情的时空分析

Spatiotemporal analysis of African swine fever outbreaks on South African smallholder farms, 1993-2018.

作者信息

Mushagalusa C A, Penrith M-L, Etter E M C

机构信息

Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, South Africa and Department of Animal Production, Faculty of Agriculture, Université Evangélique en Afrique, Democratic Republic of Congo and Laboratoire de Biomathématiques et d'Estimations Forestières (LABEF), Faculté des Sciences Agronomiques (FSA), Université d'Abomey-Calavi, Benin.

Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, South Africa.

出版信息

J S Afr Vet Assoc. 2022 Nov;93(2):82-88. doi: 10.36303/JSAVA.161. Epub 2022 Jun 16.

Abstract

African swine fever (ASF) is a contagious viral disease of swine worldwide. ASF in South Africa has for many years been confined to a controlled area in the northeast of the country that was proclaimed in 1935. Since 2012, outbreaks are more likely to occur in the historically ASF-free area. This study aimed to analyse the spatial and spatiotemporal structure of ASF outbreaks in South Africa between 1993 and 2018. Global space-time clustering of ASF outbreaks was investigated by the Diggle space-time K-function while Kulldorff's spatial scan statistic was applied to detect local cluster of ASF outbreaks. Globally, ASF outbreaks exhibit statistically significant spatial clustering. They have shown a significant negative space-time interaction at month scale ( = 0.003) but no significant space-time interaction at year scale ( = 0.577), revealing strong evidence that ASF cases that are close in space occur in months which are close and vice versa. In studying local area space-time clustering at both month and year scale, three significant local clusters associated with high-rate were detected. These clusters are localised in both the ASF-controlled area and outside the controlled area with radius varying from 60.84 km up to 271.43 km and risk ratio varying from 6.61 up to 17.70. At month scale, clusters with more outbreaks were observed between June 2017 and August 2017 and involved 22 outbreaks followed by the cluster that involved 13 outbreaks in January 2012. These results show the need to maintain high biosecurity standards on pig farms in both inside and outside the ASF-controlled areas.

摘要

非洲猪瘟(ASF)是一种在全球范围内猪类的传染性病毒性疾病。在南非,非洲猪瘟多年来一直局限于该国东北部1935年宣布的一个控制区域内。自2012年以来,疫情更有可能在历史上无非洲猪瘟的地区发生。本研究旨在分析1993年至2018年期间南非非洲猪瘟疫情的空间和时空结构。通过迪格勒时空K函数研究非洲猪瘟疫情的全球时空聚集情况,同时应用库尔道夫空间扫描统计量来检测非洲猪瘟疫情的局部聚集情况。在全球范围内,非洲猪瘟疫情呈现出具有统计学意义的空间聚集。它们在月度尺度上显示出显著的负时空交互作用(P = 0.003),但在年度尺度上没有显著的时空交互作用(P = 0.577),这有力地证明了在空间上接近的非洲猪瘟病例发生在时间上接近的月份,反之亦然。在研究月度和年度尺度的局部地区时空聚集时,检测到了三个与高发病率相关的显著局部聚集区。这些聚集区位于非洲猪瘟控制区域内和控制区域外,半径从60.84公里到271.43公里不等,风险比从6.61到17.70不等。在月度尺度上,2017年6月至2017年8月期间观察到爆发次数较多的聚集区,涉及22次疫情,其次是2012年1月涉及13次疫情的聚集区。这些结果表明,在非洲猪瘟控制区域内外的养猪场都需要维持高生物安全标准。

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