Risk Factors and Spatiotemporal Analysis of Classical Swine Fever in Ecuador

Viruses. 2023 Jan 19;15(2):288. doi: 10.3390/v15020288.

Abstract

Classical swine fever (CSF) is one of the most important re-emergent swine diseases worldwide. Despite concerted control efforts in the Andean countries, the disease remains endemic in several areas, limiting production and trade opportunities. In this study, we aimed to determine the risk factors and spatiotemporal implications associated with CSF in Ecuador. We analysed passive surveillance and vaccination campaign datasets from 2014 to 2020; Then, we structured a herd-level case-control study using a logistic and spatiotemporal Bayesian model. The results showed that the risk factors that increased the odds of CSF occurrence were the following: swill feeding (OR 8.53), time until notification (OR 2.44), introduction of new pigs during last month (OR 2.01) and lack of vaccination against CSF (OR 1.82). The spatiotemporal model showed that vaccination reduces the risk by 33%. According to the priority index, the intervention should focus on Morona Santiago and Los Rios provinces. In conclusion, the results highlight the complexity of the CSF control programs, the importance to improve the overall surveillance system and the need to inform decision-makers and stakeholders.

Keywords: Ecuador; case-control; classical swine fever; risk factors; risk-based surveillance; spatiotemporal; vaccination.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bayes Theorem
  • Case-Control Studies
  • Classical Swine Fever* / epidemiology
  • Ecuador / epidemiology
  • Risk Factors
  • Spatio-Temporal Analysis
  • Swine

Grants and funding

This research was funded by SÃO PAULO RESEARCH FOUNDATION (FAPESP), Grant numbers: 2020/11711-9 (Research Internship Abroad in Germany) and 2017/22912-2 (Regular funding in Brazil).