Coupled Pest-disease dynamics and cacao losses: A mathematical modeling approach
Related Experiment Video
Updated: Nov 5, 2026

Assessing the Repellency of an Insecticide-Fungicide Combination to Bees Using Bioacoustics
Published on: July 3, 2026
Myriam Djoukwe Tapi1,2,3,4, Nico Stollenwerk4, Samuel Bowong1,2,3
1Department of Mathematics and Computer Science, Faculty of Science, The University of Douala, PO Box 24157 Douala.
Abstract:
Black pod disease and mirids attacks cause substantial losses in cacao production. Black pod disease darkens the affected areas of cacao pods, while the cacao mirids (Sahlbergella singularis) is a major pest in West African plantations. Together, these threats significantly reduce crop yield and shorten the lifespan of the plants. This study evaluates production losses caused by the combined effects of Miridae infestation and black pod disease. We formulate and analyze a mathematical model incorporating spores, pods, and Miridae populations, governed by a system of ordinary differential equations. Theoretical analyses include equilibrium computations and threshold conditions for optimal plantation productivity. The analytical findings are validated through numerical simulations. We also examine the effects of three control strategies, Phytosanitary measures, Miridae control, and their combined application on production optimization. These strategies are modeled using impulsive differential equation systems. Our key quantitative findings show that black pod disease alone causes approximately 88.94% production loss, Miridae alone cause 34.21% loss, and co-infection leads to near-total losses exceeding 90%.
More Related Videos
14:29The Hawaii Protocol for Scientific Monitoring of Coffee Berry Borer: a Model for Coffee Agroecosystems Worldwide
Published on: March 19, 2018
09:23Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System
Published on: November 1, 2017
Related Concept Videos
Modeling with Differential Equations
Pharmacodynamic Models: Overview
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
Mechanistic Models: Compartment Models in Individual and Population Analysis
Pharmacodynamic Models: Emax Drug–Concentration Effect Model
Model Approaches for Pharmacokinetic Data: Physiological Models