Temporal and Spatial Evolution of the African Swine Fever Epidemic in Vietnam

Int J Environ Res Public Health. 2022 Jun 29;19(13):8001. doi: 10.3390/ijerph19138001.

Abstract

African swine fever (ASF) is a severe infectious disease affecting domestic and wild suids. Spatiotemporal dynamics analysis of the ASF is crucial to understanding its transmission. The ASF broke out in Vietnam in February 2019. The research on the spatiotemporal evolution characteristics of ASF in Vietnam is lacking. Spatiotemporal statistical methods, including direction analysis, spatial autocorrelation analysis, and spatiotemporal scan statistics were used to reveal the dynamics of the spatial diffusion direction and spatiotemporal aggregation characteristics of ASF in Vietnam. According to the cessation of the epidemic, it was divided into three phases: February to August 2019 (phase 1), April to December 2020 (phase 2), and January 2021 to March 2022 (phase 3). The ASF showed a significant spread trend from north to south in phase 1. The occurrence rate of the ASF aggregated spatially in phase 1 and became random in phases 2 and 3. The high-high ASF clusters (the province was a high cluster and both it and its neighbors had a high ASF occurrence rate) were concentrated in the north in phases 1 and 2. Four spatiotemporal high-risk ASF clusters were identified with a mean radius of 121.88 km. In general, there were significant concentrated outbreak areas and directional spread in the early stage and small-scale, high-frequency, and randomly scattered outbreaks in the later stage. The findings could contribute to a deeper understanding of the spatiotemporal spread of the ASF in Vietnam.

Keywords: African swine fever; Vietnam; spatial analysis; spatial autocorrelation; spatiotemporal scan.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • African Swine Fever Virus*
  • African Swine Fever* / epidemiology
  • Animals
  • Disease Outbreaks / veterinary
  • Epidemics*
  • Sus scrofa
  • Swine
  • Vietnam / epidemiology

Grants and funding

This work was supported by the Multidisciplinary Cross-Cultivation Project of Innovation Academy for Precision Measurement Science and Technology, CAS [grant number S21S3202], and the National Natural Science Foundation of China [grant numbers 62071457, 81803297].