Suwardi Annas, Syafruddin Side, Muhammad Ansarullah S. Tabbu, Ahmadin Ahmadin, Andi Muhammad Ridho Yusuf Sainon Andi Pandjajangi
Pneumonia remains a pressing health issue in Indonesia, particularly in South Sulawesi Province, influenced by environmental factors like air pollution and climate change. This study introduces the SEILRQ-D model, a novel framework incorporating key variables such as climate conditions, pollution levels, and social dynamics, to analyse and simulate pneumonia control strategies. The model emphasises the integration of local wisdom in shaping effective interventions. The research explores equilibrium points, stability analysis, and the basic reproduction number (R0), demonstrating the potential for controlling pneumonia outbreaks. Simulations using advanced numerical methods highlight the model’s applicability to diverse scenarios beyond the specific case of South Sulawesi. Findings indicate that community-based strategies significantly enhance disease management efforts, offering a blueprint for broader applications in similar environmental and epidemiological contexts. This work advances the modelling and simulation of infectious diseases, providing actionable insights for global public health planning. Copyright © 2025 Inderscience Enterprises Ltd.
Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Negeri Makassar, Makassar, Indonesia; Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Negeri Makassar, Makassar, Indonesia; Department of Geography, Faculty of Mathematics and Natural Science, Universitas Negeri Makassar, Makassar, Indonesia; Department of History Education, Faculty of Social Sciences and Law, Universitas Negeri Makassar, Makassar, Indonesia
