Demand-driven spreading patterns of African swine fever in China

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Kaichen Tang
  • Zhidong Cao
  • Kang Zhao
  • Daniel Dajun Zeng

Detail(s)

Original languageEnglish
Article number061102
Journal / PublicationChaos
Volume31
Issue number6
Online published1 Jun 2021
Publication statusPublished - Jun 2021

Abstract

African swine fever (ASF) is a highly contagious hemorrhagic viral disease of domestic and wild pigs. ASF has led to major economic losses and adverse impacts on livelihoods of stakeholders involved in the pork food system in many European and Asian countries. While the epidemiology of ASF virus (ASFV) is fairly well understood, there is neither any effective treatment nor vaccine. In this paper, we propose a novel method to model the spread of ASFV in China by integrating the data of pork import/export, transportation networks, and pork distribution centers. We first empirically analyze the overall spatiotemporal patterns of ASFV spread and conduct extensive experiments to evaluate the efficacy of a number of geographic distance measures. These empirical analyses of ASFV spread within China indicate that the first occurrence of ASFV has not been purely dependent on the geographical distance from existing infected regions. Instead, the pork supply-demand patterns have played an important role. Predictions based on a new distance measure achieve better performance in predicting ASFV spread among Chinese provinces and thus have the potential to enable the design of more effective control interventions.

Citation Format(s)

Demand-driven spreading patterns of African swine fever in China. / Yang, Jiannan; Tang, Kaichen; Cao, Zhidong; Pfeiffer, Dirk U.; Zhao, Kang; Zhang, Qingpeng; Zeng, Daniel Dajun.

In: Chaos, Vol. 31, No. 6, 061102, 06.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review