» Articles » PMID: 31533266

African Swine Fever: Fast and Furious or Slow and Steady?

Overview
Journal Viruses
Publisher MDPI
Specialty Microbiology
Date 2019 Sep 20
PMID 31533266
Citations 40
Authors
Affiliations
Soon will be listed here.
Abstract

Since the introduction of African swine fever (ASF) into Georgia in 2007, the disease has been spreading in an unprecedented way. Many countries that are still free from the disease fear the emergence of ASF in their territory either in domestic pigs or in wild boar. In the past, ASF was often described as being a highly contagious disease with mortality often up to 100%. However, the belief that the disease might enter a naïve population and rapidly affect the entire susceptible population needs to be critically reviewed. The current ASF epidemic in wild boar, but also the course of ASF within outbreaks in domestic pig holdings, suggest a constant, but relatively slow spread. Moreover, the results of several experimental and field studies support the impression that the spread of ASF is not always fast. ASF spread and its speed depend on various factors concerning the host, the virus, and also the environment. Many of these factors and their effects are not fully understood. For this review, we collated published information regarding the spreading speed of ASF and the factors that are deemed to influence the speed of ASF spread and tried to clarify some issues and open questions in this respect.

Citing Articles

Complete genome analysis of the African swine fever virus genotypes II and IX responsible for the 2021 and 2023 outbreaks in Rwanda.

Hakizimana J, Yona C, Makange M, Adamson E, Ntampaka P, Uwibambe E Front Vet Sci. 2025; 12:1532683.

PMID: 40041669 PMC: 11877445. DOI: 10.3389/fvets.2025.1532683.


An epidemiological model of SIR in a nanotechnological innovation environment.

Svoboda D, Havelka O, Holendova J, Kraft J Heliyon. 2025; 11(3):e42309.

PMID: 39959497 PMC: 11830325. DOI: 10.1016/j.heliyon.2025.e42309.


The many boar identities: understanding difference and change in the geographies of European wild boar management.

von Essen E, OMahony K, Szczygielska M, Gieser T, Vate V, Arregui A J Environ Plan Manag. 2025; 68(3):728-750.

PMID: 39906531 PMC: 11789708. DOI: 10.1080/09640568.2023.2269312.


Habitat suitability mapping and landscape connectivity analysis to predict African swine fever spread in wild boar populations: A focus on Northern Italy.

Faustini G, Soret M, Defossez A, Bosch J, Conte A, Tran A PLoS One. 2025; 20(1):e0317577.

PMID: 39883672 PMC: 11781678. DOI: 10.1371/journal.pone.0317577.


An immunoassay based on bioluminescent sensors for rapid detection of African swine fever virus antibodies.

Zhang Z, Wang J, Niu Q, Guan G, Yin H, Yang J J Clin Microbiol. 2024; 62(10):e0046324.

PMID: 39235247 PMC: 11481549. DOI: 10.1128/jcm.00463-24.


References
1.
Chis Ster I, Dodd P, Ferguson N . Within-farm transmission dynamics of foot and mouth disease as revealed by the 2001 epidemic in Great Britain. Epidemics. 2012; 4(3):158-69. DOI: 10.1016/j.epidem.2012.07.002. View

2.
Dixon L, Sun H, Roberts H . African swine fever. Antiviral Res. 2019; 165:34-41. DOI: 10.1016/j.antiviral.2019.02.018. View

3.
Barongo M, Stahl K, Bett B, Bishop R, Fevre E, Aliro T . Estimating the Basic Reproductive Number (R0) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda. PLoS One. 2015; 10(5):e0125842. PMC: 4418717. DOI: 10.1371/journal.pone.0125842. View

4.
Guinat C, Porphyre T, Gogin A, Dixon L, Pfeiffer D, Gubbins S . Inferring within-herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation. Transbound Emerg Dis. 2017; 65(2):e264-e271. PMC: 5887875. DOI: 10.1111/tbed.12748. View

5.
Babalobi O, Olugasa B, Oluwayelu D, Ijagbone I, Ayoade G, Agbede S . Analysis and evaluation of mortality losses of the 2001 African swine fever outbreak, Ibadan, Nigeria. Trop Anim Health Prod. 2007; 39(7):533-42. DOI: 10.1007/s11250-007-9038-9. View