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Edsh effects on RMO: development of a fuzzy cognitive map for anticipating the risk of malaria outbreak

Kamrujjaman, Md. (Springer, 2025-10-19)

A Fuzzy Cognitive Map (FCM) is a soft computing method used to analyze and understand complex systems. This is particularly useful when there is a little information known about the system or no historical data is available ...

Modeling influenza transmission and control: epidemic theory insights across Mexico, Italy, and South Africa

Kamrujjaman, Md. (Springer, 2025-08-30)

A mathematical analysis of influenza virus transmission is undertaken, combining rigorous theoretical development with numerical simulations informed by real-world data. The terms in the equations introduce parameters ...

State-by-state influenza outbreaks and oversee: A Markov chain study of California and North Carolina, USA

Kamrujjaman, Md. (PLOS Global Public Health, 2025-09-18)

Influenza, a significant public health concern, spreads rapidly and causes seasonal epi- demics and pandemics. Mathematical models are essential tools for devising effec- tive strategies to combat this pandemic. Various ...

Stochastic analysis of Mpox epidemiology with vaccination strategies and environmental persistence

Kamrujjaman, Md. (Scientific Reports, 2025-12-23)

In the context of global preparedness and response strategies for Mpox outbreaks, we develop a comprehensive mathematical model to investigate its transmission dynamics, integrating critical factors such as vaccination ...

Stochastic Control of Influenza Spread: A Lévy-Driven SDE and Branching Process Approach

Mohammad, Kazi Mehedi; Khan, Taufiquar; Kamrujjaman, Md. (Elsevier, 2026-01-13)

Background Forecasting influenza outbreaks remains a significant challenge due to the complexity of dis ease transmission and the influence of environmental and behavioral factors. Traditional models based solely on the ...