# Surveillance and Management Strategies for African Swine Fever (ASF) in Central Luzon, Philippines

**Authors:** Virginia M. Venturina, Romeo S. Gundran, Ronalie B. Rafael, Roderick T. Salvador, Marvin Bryan S. Salinas, Errol Jay Y. Balagan, Phebe M. Valdez, Alvin P. Soriano, Noraine P. Medina, Gemerlyn G. Garcia, Ma-Jian R. Dela Cruz, Lianne Kathleen P. Salazar, Lohreihlieh P. Parayao, Dante M. Fabros, Corrie C. Brown, Bonto Faburay

PMC · DOI: 10.3390/pathogens14100995 · Pathogens · 2025-10-02

## TL;DR

African swine fever poses a significant threat in Central Luzon, with a study identifying biosecurity gaps and risk factors for its spread.

## Contribution

The study introduces a risk-based surveillance framework to detect ASF and identifies key farm-level risk factors in the region.

## Key findings

- The apparent farm-level prevalence of ASF was 26.7% in Central Luzon.
- Bataan and Nueva Ecija had the highest detection rates of 80.5% and 55.0%, respectively.
- Lack of perimeter fencing was the only significant predictor of ASF detection.

## Abstract

African swine fever (ASF) remains a major threat to swine production in Central Luzon, Philippines. This study assessed ASF detection and farm-level risk factors in Central Luzon using a risk-based surveillance framework. Pooled blood samples from five pigs per farm were collected in 277 farms across seven provinces and tested by real-time PCR. The analysis yielded an apparent farm-level prevalence of 26.7% (95% CI: 21.6–32.3), defined by one pooled 5-pig blood sample per farm. However, these values reflect risk-based surveillance outcomes rather than population-representative prevalence. Detection varied by province, with high rates in Bataan (80.5%) and Nueva Ecija (55.0%), moderate detection in Zambales (24.3%), lower detection in Pampanga (5.0%) and Tarlac (20.0%), and no positives in Aurora or Bulacan. Survey data were available for 201 farms. Firth-penalized logistic regression identified the absence of perimeter fencing as the only statistically significant predictor of ASFV detection. Veterinary oversight and consultancy showed protective but non-significant trends. These results highlight structural and professional biosecurity gaps, emphasizing the need for expanded veterinary outreach, fencing support, and training to mitigate ASF risk in smallholder-dominated production systems.

## Linked entities

- **Diseases:** African swine fever (MONDO:0025377)
- **Species:** Mus musculus (taxon 10090)

## Full-text entities

- **Diseases:** ASF (MESH:D000357)
- **Species:** Sus scrofa (pig, species) [taxon 9823], African swine fever virus (no rank) [taxon 10497]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12567132/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12567132/full.md

## References

13 references — full list in the complete paper: https://tomesphere.com/paper/PMC12567132/full.md

---
Source: https://tomesphere.com/paper/PMC12567132