ArticleVeterinary sciences2019
Evaluation of the Efficiency of Active and Passive Surveillance in the Detection of African Swine Fever in Wild Boar.
Article in Veterinary sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 59 citations in OpenAlex.
- Modelling African Swine Fever Transmission and Epidemiology: A Scoping Review of Mechanistic, Statistical, and Machine Learning Approaches.Tropical medicine and infectious disease · 2026Review
- Organisation of Wildlife Passive Disease Surveillance in Slovenia over 30 Years (1995-2025) and Insights into Certain Causes of Disease or Mortality.Veterinary sciences · 2026Article
- A multi-host mechanistic model of African swine fever emergence and control in Romania.Nature communications · 2026Article
- Early African Swine Fever Dynamics in Wild Boar After Reemergence in Catalonia, Spain: Surveillance-Based Estimates of Initial Spread.Transboundary and emerging diseases · 2026Article
- African swine fever control in the context of endemic persistence.Frontiers in veterinary science · 2026Article
- Article
- Expanding National-Scale Wildlife Disease Surveillance Systems With Research Networks.Ecology and evolution · 2025Article
- Impact of Carcass Detection Delays on the Sustained Transmission of African Swine Fever Among Wild Boars.Transboundary and emerging diseases · 2025Article
- Spleen Swabs for Sensitive and High-Throughput Detection of African Swine Fever Virus by Real-Time PCR.Viruses · 2024Article
- African swine fever in wild boar: investigating model assumptions and structure.Royal Society open science · 2024Article
- Article
- Modeling Singapore's First African Swine Fever Outbreak in Wild Boar Populations.Transboundary and emerging diseases · 2024Article
- The Effect of Partial and Temporary Vaccination on African Swine Fever Eradication Rates.Transboundary and emerging diseases · 2024Article
- A suitable sampling strategy for the detection of African swine fever virus in living and deceased pigs in the field: a retrospective study.Frontiers in veterinary science · 2024Article
- Nine Years of African Swine Fever in Poland.Viruses · 2023Review
- Estimating the Directional Spread of Epidemics in Their Early Stages Using a Simple Regression Approach: A Study on African Swine Fever in Northern Italy.Pathogens (Basel, Switzerland) · 2023Article
- Innovative Research Offers New Hope for Managing African Swine Fever Better in Resource-Limited Smallholder Farming Settings: A Timely Update.Pathogens (Basel, Switzerland) · 2023Review
- Drone-Based Thermal Imaging in the Detection of Wildlife Carcasses and Disease Management.Transboundary and emerging diseases · 2023Article
- Climate Change Influences the Spread of African Swine Fever Virus.Veterinary sciences · 2022Article
- Estimating the risk of environmental contamination by forest users in African Swine Fever endemic areas.Acta veterinaria Scandinavica · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
African swine fever (ASF) is one of the most severe diseases of pigs and has a drastic impact on pig industry. Wild boar populations play the role of ASF genotype II virus epidemiological reservoir. Disease surveillance in wild boar is carried out either by testing all the wild boar found sick or dead for virus detection (passive surveillance) or by testing for virus (and antibodies) all hunted wild boar (active surveillance). When virus prevalence and wild boar density are low as it happens close to eradication, the question on which kind of surveillance is more efficient in detecting the virus is still open. We built a simulation model to mimic the evolution of the host-parasite interaction in the European wild boar and to assess the efficiency of different surveillance strategies. We constructed a deterministic SIR model, which estimated the probability to detect the virus during the 8 years following its introduction, using both passive and active surveillance. Overall, passive surveillance provided a much larger number of ASF detections than active surveillance during the first year. During subsequent years, both active and passive surveillance exhibited a decrease in their probability to detect ASF. Such decrease, though, was more pronounced for passive surveillance. Under the assumption of 50% of carcasses detection, active surveillance became the best detection method when the endemic disease prevalence was lower than 1.5%, when hunting rate was >60% and when population density was lower than 0.1 individuals/km
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