Overview
A model is a simplified, formal representation of a system, process, or phenomenon, constructed to describe its behaviour, test hypotheses, and predict outcomes under specified conditions. Models range from conceptual and statistical to mathematical and computational, and they are valued for making complex systems tractable, enabling analysis where direct experimentation is impractical. The studies gathered here are predominantly quantitative and illustrate the breadth of modelling. Epidemiological and infectious-disease models feature prominently, including modified SEIR formulations applied to COVID-19 across countries, seasonal ARIMA prediction, mathematical modelling of typhoid transmission dynamics and intervention impact, and general approaches to modelling pandemics. Optimisation and operational models appear in fuzzy-logic inventory modelling compared with Lagrangian and Kuhn-Tucker methods and in models for identifying actionable clinical findings, while data-driven prediction is represented by artificial neural networks for rainfall analysis and genetic-algorithm approaches to estimating subsurface features. Modelling also extends to organisational and physiological systems, including dynamic leadership modelling, representation of work environments, and new models of body composition. Together these works express the defining role of models in research: to abstract the essential structure of a system into a representation that can be analysed, validated against data, and used to explain mechanisms and forecast behaviour, thereby bridging theory and observation across the natural, health, and social sciences.
Research published in this journal
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
Analysis of Covid-19 Using A Modified SEIR Model To Understand The Cases Registered in Singapore, Spain, And Venezuela
Specified model of the work environment in a public university in central Mexico
Determining the Efficiency of Fuzzy Logic EOQ Inventory Model with Varying Demand in Comparison with Lagrangian and Kuhn-Tucker Method Through Sensitivity Analysis
Artificial Neural Network Model for Rainfall Data Analysis During 2004-2017 in Tamil Nadu, India – Prevailing Pattern Evaluation on Climate Change
Seasonal ARIMA model for Covid-19 pandemic Prediction in the United States
Mathematical Modelling of Typhoid Fever Transmission Dynamics and Intervention Impact in Harare, Zimbabwe (2018–2020)
A General Approach to Modeling Covid-19
Genetic Algorithm Coupled with Neural Networks to Guesstimate the Subsurface Features of the Earth
A New Model of Body Composition: Concept and Design Features of the DBA-Model
Modeling of Dynamic/Situational Leadership for Effective Entrepreneurship Development
A Model for Identifying Actionable Findings on Computed Tomography in Crohn’s Disease Patients in the Emergency Department
How this research is being cited
The 12 articles above have been cited 32 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2026 · Journal of Obesity Management
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2025 · Smart innovation, systems and technologies
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2025 · Lecture notes in networks and systems
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2025 · Journal of Clinical Practice and Medical Research
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2025 · Journal of Clinical Practice and Medical Research
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Eka Susanti et al. · 2024 · Proceedings of the 3rd Sriwijaya International Conference on Basic and Applied Sciences, SICBAS 2023, November 3, 2023, Palembang, Indonesia
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2023 · Science & Technology Indonesia
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Eka Susanti et al. · 2023 · BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN
A sample of recent works citing this journal's research on Model, linking to each citing work.