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  1. Home
  2. Simulating The Spread Of Foot-and-mouth Disease In Densely Populated Areas As Part Of Contingency Plans To Establish The Best Control Options.
  1. Home
  2. Simulating The Spread Of Foot-and-mouth Disease In Densely Populated Areas As Part Of Contingency Plans To Establish The Best Control Options.

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Simulating the Spread of Foot-and-Mouth Disease in Densely Populated Areas as Part of Contingency Plans to Establish

Silvia Bellini1, Alessandra Scaburri1, Marco Tironi1

  • 1Istituto Zooprofilattico Sperimentale della Lombardia ed Emilia-Romagna, Via A. Bianchi 9, 25124 Brescia, Italy.

Pathogens (Basel, Switzerland)
|September 27, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Foot-and-mouth disease (FMD) control in Italy requires managing densely populated livestock areas. A risk-based approach effectively identifies key transmission farms, crucial for emergency preparedness and sustainable livestock production.

Keywords:
DPLAsFMDcontingency plandensely populated livestock areasdisease controlfoot-and-mouth diseasepreparedness

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Area of Science:

  • Veterinary epidemiology
  • Disease modeling
  • Livestock management

Background:

  • Foot-and-mouth disease (FMD) is a highly contagious livestock disease impacting trade and farming.
  • European Union legislation mandates peacetime emergency preparedness for FMD control.
  • Densely populated livestock areas (DPLAs) present unique challenges for disease containment.

Purpose of the Study:

  • To evaluate FMD control strategies in Italian DPLAs using a dynamic transmission model.
  • To determine a sustainable threshold for farm density compatible with FMD control.
  • To develop and test an effective risk-based approach for FMDV transmission control.

Main Methods:

  • Development of a dynamic transmission model for FMDV.
  • Simulation of reduced farm density to identify critical thresholds.
  • Application of an original risk-based strategy to pinpoint high-risk farms for FMDV spread.

Main Results:

  • Identification of a threshold farm density crucial for effective FMD control in the study area.
  • Demonstration that a risk-based approach is more effective than general density reduction alone.
  • Validation of the risk-based approach for practical FMDV transmission control in DPLAs.

Conclusions:

  • Reducing farm density in DPLAs is important but may not be sufficient for FMD control.
  • A targeted, risk-based strategy is the most effective method for controlling FMDV spread in high-density areas.
  • The proposed risk-based approach offers a practical solution for FMD emergency preparedness with limited contact data.