An Extension of Mathematical Model for Severity of Rice Blast Disease
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Publication Details
Author list: Saharat Tabonglek, Amir Khan, Usa Wannasingha Humphries
Publisher: AIMS Press
Publication year: 2023
Volume number: 8
Issue number: 1
Start page: 2419
End page: 2434
Number of pages: 16
ISSN: 2473-6988
eISSN: 2473-6988
URL: https://www.aimspress.com/article/doi/10.3934/math.2023125
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Abstract
This paper aims to extend the spore dispersal model to the Healthy-Latent-InfectiousRemoved (HLIR) epidemic model for assessing the severity of rice blast disease. The model was solved by the Finite Difference Method (FDM). The results of the model were compared to data from the Prachinburi Rice Research Center (PRRC) on the severity of rice blast disease. Because of a small error, the comparison results showed good agreement between the PRRC data and the simulation by looking at the value of Willmott’s index of agreement (d). The first bed d was 0.7166, while the second bed d was 0.6421, indicating the model’s performance. Furthermore, the optimal parameter, the fraction of spores deposited on the crop, was determined to be 0.173 and 0.016 for beds 1 and 2, respectively. The model can simulate and analyze rice blast outbreaks for educational purposes in future preparedness planning.
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