Quantitative risk assessment of African swine fever virus introduction to Japan via pork products brought in air passengers’ luggage

2019 ◽  
Vol 67 (2) ◽  
pp. 894-905 ◽  
Author(s):  
Satoshi Ito ◽  
Cristina Jurado ◽  
José Manuel Sánchez‐Vizcaíno ◽  
Norikazu Isoda
Keyword(s):  
Risk Assessment ◽  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus ◽  
Quantitative Risk Assessment ◽  
Pork Products

Quantitative Risk Assessment for the Introduction of African Swine Fever Virus into the European Union by Legal Import of Live Pigs

2011 ◽  
Vol 59 (2) ◽  
pp. 134-144 ◽  
Author(s):  
L. Mur ◽  
B. Martínez-López ◽  
M. Martínez-Avilés ◽  
S. Costard ◽  
B. Wieland ◽  
...  
Keyword(s):  
Risk Assessment ◽  
European Union ◽  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus ◽  
Quantitative Risk Assessment ◽  
The European Union

scholarly journals Detection of African swine fever virus in pork products brought to Taiwan by travellers

2019 ◽  
Vol 8 (1) ◽  
pp. 1000-1002 ◽  
Author(s):  
Wen-Hung Wang ◽  
Chih-Yen Lin ◽  
Max R. Chang Ishcol ◽  
Aspiro Nayim Urbina ◽  
Wanchai Assavalapsakul ◽  
...  
Keyword(s):  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus ◽  
Pork Products

scholarly journals Risk Analysis of the Transmission Route for the African Swine Fever Virus in Mainland China

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiang-Hong Hu ◽  
Xin Pei ◽  
Gui-Quan Sun ◽  
Zhen Jin
Keyword(s):  
African Swine Fever Virus ◽  
Mainland China ◽  
African Swine Fever ◽  
Infection Risk ◽  
Fever Virus ◽  
Transmission Model ◽  
Transmission Route ◽  
Pork Products ◽  
Python Language ◽  
And Control

African swine fever first broke out in mainland China in August 2018 and has caused a substantial loss to China’s pig industry. Numerous investigations have confirmed that trades and movements of infected pigs and pork products, feeding pigs with contaminative swills, employees, and vehicles carrying the virus are the main transmission routes of the African swine fever virus (ASFV) in mainland China. However, which transmission route is more risky and what is the specific transmission map are still not clear enough. In this study, we crawl the data related to pig farms and slaughterhouses from Baidu Map by writing the Python language and then construct the pig transport network. Following this, we establish an ASFV transmission model over the network based on probabilistic discrete-time Markov chains. Furthermore, we propose spatiotemporal backward detection and forward transmission algorithms in semi-directed weighted networks. Through the simulation and calculation, the risk of transmission routes is analyzed, and the results reveal that the infection risk for employees and vehicles with the virus is the highest, followed by contaminative swills, and the transportation of pigs and pork products is the lowest; the most likely transmission map is deduced, and it is found that ASFV spreads from northeast China to southwest China and then to west; in addition, the infection risk in each province at different times is assessed, which can provide effective suggestions for the prevention and control of ASFV.

scholarly journals Risk Assessment of African Swine Fever Virus Exposure to Sus scrofa in Japan Via Pork Products Brought in Air Passengers’ Luggage

Pathogens ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 302
Author(s):  
Satoshi Ito ◽  
Jaime Bosch ◽  
Cristina Jurado ◽  
José Manuel Sánchez-Vizcaíno ◽  
Norikazu Isoda
Keyword(s):  
Risk Assessment ◽  
Wild Boar ◽  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Domestic Pigs ◽  
Pork Products ◽  
Risk Assessment Models ◽  
Annual Probability ◽  
Virus Exposure ◽  
Stochastic Risk

In recent years, African swine fever (ASF) has become prevalent in many areas, including Asia. The repeated detection of the ASF virus (ASFV) genome in pork products brought in air passenger’s luggage (PPAP) was also reported from Japanese airports. In the present study, the risk of ASFV exposure to susceptible hosts in Japan via three different pathways was assessed. Two quantitative stochastic risk assessment models were built to estimate the annual probability of ASFV exposure to domestic pigs, which could be attributed to foreign job trainees or foreign tourists. A semi-quantitative stochastic model was built to assess the risk of ASFV exposure to wild boar caused by foreign tourists. The overall mean annual probability of ASFV exposure to domestic pigs via PPAP carried by foreign job trainees was 0.169 [95% confidence interval (CI): 0.000–0.600], whereas that by foreign tourists was 0.050 [95% CI: 0.000–0.214], corresponding to approximately one introduction every 5.9 and 20 years, respectively. The risk of ASFV exposure to domestic pigs was dispersed over the country, whereas that of wild boar was generally higher in the western part of Japan, indicating that the characteristics of the potential ASF risk in each prefecture were varied.

A stochastic assessment to quantify the risk of introduction of African swine fever virus to Taiwan via illegal pork products carried by international travellers

2021 ◽  
Author(s):  
Kendy Tzu‐Yun Teng ◽  
Chao‐Chin Chang ◽  
Yi‐Lun Tsai ◽  
Chun‐Yao Chiu ◽  
Cheng‐Yao Yang ◽  
...  
Keyword(s):  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus ◽  
Pork Products

scholarly journals THE INFLUENCE OF TEMPERATURE ON THE RUSSIAN ISOLATE OF AFRICAN SWINE FEVER VIRUS IN PORK PRODUCTS AND FEED WITH EXTRAPOLATION TO NATURAL CONDITIONS

2016 ◽  
Vol 51 (4) ◽  
pp. 467-474 ◽  
Author(s):  
I.P. Sindryakova ◽  
◽  
Yu.P. Morgunov ◽  
A.Yu. Chichikin ◽  
I.Kh. Gazaev ◽  
...  
Keyword(s):  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus ◽  
Natural Conditions ◽  
Influence Of Temperature ◽  
Pork Products ◽  
Influence Of Temperature On

Genetic markers of the African swine fever virus

2020 ◽  
Vol 23 (04) ◽  
pp. 21-26
Author(s):  
A.K. Sibgatullova ◽  
◽  
M.E. Vlasov ◽  
I.A. Titov ◽  
◽  
...  
Keyword(s):  
Genetic Markers ◽  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus

Analysis of genetic markers of variability of African swine fever virus isolates isolated in the Russian Federation

2020 ◽  
Vol 23 (2) ◽  
pp. 14-19
Author(s):  
A.K. Sibgatullova ◽  
◽  
M.V. Nefedeva ◽  
D.A. Kudryashov ◽  
M.E. Vlasov ◽  
...  
Keyword(s):  
Genetic Markers ◽  
Russian Federation ◽  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus ◽  
The Russian Federation ◽  
Virus Isolates

Amino acid sequence and structural properties of protein p12, an African swine fever virus attachment protein.

1992 ◽  
Vol 66 (6) ◽  
pp. 3860-3868 ◽  
Author(s):  
A Alcamí ◽  
A Angulo ◽  
C López-Otín ◽  
M Muñoz ◽  
J M Freije ◽  
...  
Keyword(s):  
Amino Acid ◽  
Amino Acid Sequence ◽  
Structural Properties ◽  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus ◽  
Attachment Protein ◽  
Virus Attachment
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