COVID-19 epidemiological studies

Background: Households represent a major setting for SARS-CoV-2 transmission due to prolonged close contact and shared living environments. Although household transmission has been widely investigated, studies focusing on households including children and incorporating long-term follow-up data remain limited. Methods:…

In this study, single-patch and two-patch mathematical models are developed to investigate the progression of measles. First, the parameters of the single-patch model are estimated based on available data. The simulation results for the single-patch model show good agreement with real data. Additionally, the parameter…

BACKGROUND: Coronavirus disease 2019 (COVID-19), first identified in Wuhan, China, in December 2019, rapidly evolved into a global pandemic with substantial morbidity and mortality. Severe COVID-19 cases, particularly those with pneumonia requiring intensive care unit (ICU) admission, posed significant challenges for…

BACKGROUND: This paper addresses the challenge of allocating patients to healthcare facilities with limited capacities during infectious disease outbreaks. The method is based on a hierarchical time-series model to forecast hospital bed demand and a mixed-integer nonlinear mathematical model for allocating patients am…

​In this paper, we propose and analyse a delayed-compartmental mathematical model of prostate cancer dynamics that incorporates vertical transmission and therapeutic intervention. The population is stratified into five compartments: susceptible (S), infected/virally activated (I), asymptomatic infectious under treatme…

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This study examines a nonlinear SIR epidemic model to characterize the dissemination of infectious diseases through a modified version of the Caputo fractional derivative. The Laplace Adomian Decomposition Method (LADM) is used to find both analytical and approximate-analytical solutions for the proposed model. The an…

This study investigates the regional and temporal dynamics of Coronavirus Disease 2019 transmission in Türkiye by integrating downscaled environmental covariates with urban footprint analysis. The aim is to explore how spatial and climatic factors influence virus spread, particularly within urban contexts. Multi-temp…

Abstract This study proposes a novel hybrid framework for Zika virus (ZIKV) outbreak prediction by integrating a fractional-order compartmental model with interpretable machine learning. To our knowledge, this is the first approach to combine memory-dependent epidemic dynamics with explainable AI for vector-borne dise…

Objective: COVID-19 has had physical, mental, and social impacts worldwide, yet uptake of protective behaviors varied. We aimed to assess how COVID-19 disease perception and fear relate to adoption of precautions among adults in Türkiye. Methods: After ethics approval, we conducted a cross-sectional online survey in T…

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Lassa fever is one of the viral hemorrhagic illnesses produced through the Lassa virus and may be transmitted to individuals via contact with diseased rodents or their feces and urine. The current study presents the solutions to the nonlinear zoonotic spread of Lassa virus fever leading to disabilities model by design…