Stochastic mathematical modeling and data fitting for pine wilt disease prevention and control: a case study in China

Key Points

• Pine wilt disease control was effectively modeled using stochastic approaches, demonstrating significant predictive accuracy.
• The modeling framework outlined offers robust strategies for preventing the spread of pine wilt disease in affected regions.
• Comprehensive data fitting techniques were utilized to align the theoretical models with observed epidemic trends.
• Findings support the need for proactive measures in disease prevention, highlighting the importance of timely interventions.