Enhanced passive surveillance for early detection of African and classical swine fevers

D. Schettino, E. Lantigua, D. Perez, O. Beemer, M. Remmenga, C. Vanicek, G. Lopes, J. Arzt, R. Reyes, A. Perez

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

African swine fever (ASF) and classical swine fever (CSF) are transboundary animal diseases (TADs) of pigs. Much effort and resources are regularly put into preventing these diseases' introduction in free areas. Passive surveillance activities bring the highest chances for the early detection of TAD incursions because they are routinely and widely conducted at farms, and because these activities focus on the time between introduction and when the first sample is sent for diagnostic testing. The authors proposed the implementation of an enhanced passive surveillance (EPS) protocol based on collecting data through participatory surveillance actions using an objective and adaptable scoring system to aid the early detection of ASF or CSF at the farm level. The protocol was applied in two commercial pig farms for ten weeks in the Dominican Republic, which is a CSF- and ASF-infected country. This study was a proof of concept, based on the EPS protocol to aid detection of substantial variations in the risk score triggering testing. One of the followed farms had score variation, which triggered testing of the animals, although the test results were negative. The study enables assessment of some of the weaknesses associated with passive surveillance and provides lessons applicable to the problem. Results demonstrate the potential for overcoming some issues preventing the broad application of EPS protocols and suggest that standardised approaches may contribute to the early detection of CSF and ASF introductions.

Original languageEnglish (US)
Pages (from-to)149-160
Number of pages12
JournalOIE Revue Scientifique et Technique
Volume42
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 Schettino D., Lantigua E., Perez D., Beemer O., Remmenga M., Vanicek C., Lopes G., Arzt J., Reyes R. & Perez A.; licensee the World Organisation for Animal Health. This is an open access article distributed under the terms of the Creative Commons Attribution IGO Licence (https://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WOAH or this article endorses any specific organisation, product or service. The use of the WOAH logo is not permitted. This notice should be preserved along with the article's original URL.

Keywords

  • African swine fever
  • Classical swine fever
  • Early detection
  • Enhanced passive surveillance
  • Health indicators
  • Necropsy
  • Participatory surveillance
  • Proxy risk
  • Syndromic surveillance

PubMed: MeSH publication types

  • Journal Article

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