Data-driven risk assessment of the incursion of African swine fever virus via pig products brought illegally into South Korea by travelers based on the temporal relationship between outbreaks in China

Dae-Sung Yoo; Ki-Hyun Cho; Seong-Keun Hong; Hae-Eun Kang; Jee-Yong Park

doi:10.3389/fvets.2023.994749

Data-driven risk assessment of the incursion of African swine fever virus via pig products brought illegally into South Korea by travelers based on the temporal relationship between outbreaks in China

Front Vet Sci. 2023 Apr 3:10:994749. doi: 10.3389/fvets.2023.994749. eCollection 2023.

Authors

Dae-Sung Yoo^{1

2}, Ki-Hyun Cho³, Seong-Keun Hong³, Hae-Eun Kang³, Jee-Yong Park³

Affiliations

¹ Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon, Republic of Korea.
² College of Veterinary Medicine, Chonnam National University, Gwangju, Republic of Korea.
³ Foreign Animal Disease Division, Animal and Plant Quarantine Agency, Gimcheon, Republic of Korea.

Abstract

Since 2018, Asian countries have been affected by the African swine fever (ASF) virus, with major socioeconomic consequences. Moreover, the number of people traveling in Asian countries has been increasing, leading to an inevitable increase in the risk of ASF spread through livestock products carried by travelers. China and South Korea have close geo-economic ties and numerous international travelers. After the ASF outbreak in China in 2018, many illegally imported pig products (IIPPs) that were confiscated from travelers from China at the port of entry in South Korea tested positive for ASF. The detection of ASF virus (ASFV)-positive IIPPs highlights the need to further assess the risk of incursion by travelers and review the existing prevention strategies. Here, we investigated the temporal relationship between ASF outbreaks in China and the detection of ASFV-positive IIPPs in randomly confiscated samples from all ports of entry, such as flights and ships to South Korea, from 2018 to 2019 using a cross-correlation analysis. Based on the significantly correlated temporal lags between the bivariate time-series data, a risk assessment model, using the Bayesian framework, was built to estimate the distribution of the parameters for the risk assessment model and the monthly probability of ASF being introduced via IIPPs from China to South Korea. ASF outbreaks in China were significantly associated with the detection of ASFV-positive IIPPs in South Korea 5 months later. Hence, the monthly probability of ASFV-infected pig products imported from China via a traveler to South Korea was estimated to be 2.00 × 10^-5, corresponding to a 0.98 mean monthly probability of at least one ASF-infected pig product arriving at ports of entry via travelers, from 2018 to 2019. To our knowledge, this study is the first attempt to estimate the risk of ASF introduction via pig products carried by international travelers to all ports from neighboring countries in the Asian region using commonly exchanged observed data. The data presented in this study can be used to refine the intervention strategies to combat the spread of transboundary animal diseases.

Keywords: ASF; African swine fever; Bayesian; illegal importation; risk assessment; spatio-temporal.

Grants and funding

This study was supported by a grant from the Animal and Plant Quarantine Agency (grant no. B-1543085-2022-23-02) and the Ministry of Agriculture, Food and Rural Affairs, Republic of Korea.