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November 14, 2025F1000ResearchOpen Access

Graph-based epidemic modeling of West Nile Virus: Forecasting and containment

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Authors

FBFrancesco BrandaMAMohamed Mustaf AhmedADAnnamaria Defilippo

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Overview

Model reveals effective mitigation approaches for West Nile virus transmission dynamics in humans and vectors, suggesting proactive outbreak strategies.

Key Points

  • The aim is to develop a computational framework for predicting West Nile virus transmission and evaluating containment strategies.
  • Developed a modular computational framework for WNV transmission modeling.
  • Simulated ecological interactions among avian hosts, mosquito vectors, and human populations.
  • Integrated customizable intervention mechanisms for scenario assessment.
  • Evaluated impacts of intervention timing and intensity on epidemic progression.
  • Early dual-target strategies significantly reduce WNV transmission dynamics.
  • Targeted interventions for both vector and avian populations lower human exposure risk.
  • The framework serves as a decision-support platform for public health agencies.

Cite This Study

Branda et al. (2025) studied this question.

synapsesocial.com/papers/692519a7c0ce034ddc35409bhttps://doi.org/10.12688/f1000research.169601.2
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