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Springer Dynamic Models of Infectious Diseases Vol 2

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£107.43 £93.03 £96.17 £99.31 £102.46 £105.60 £108.74 14 March 2026 22 March 2026 31 March 2026 09 April 2026 18 April 2026

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Description

Infectious diseases remain a leading cause of morbidity and mortality worldwide, even as public health advances. While much focus is placed on insect vector-borne illnesses, non-vector-borne diseases present unique challenges for global health security. This volume explores the complexities of managing epidemics caused by threats such as tuberculosis, avian influenza (H5N1), and cryptococcus gattii. As science and technology progress, new tools and methodologies are emerging to combat these persistent threats. This book examines how recent research has paved the way for modern solutions. It specifically looks at the role of intelligent technology and machine-learning based methods in modeling and fighting against these diseases. This text serves as a resource for understanding the evolving landscape of infectious disease control and the technological advancements driving modern medical research.

Key Features

Explores non-vector-borne infectious diseases including tuberculosis and avian influenza (H5N1).

Examines the impact of diseases like cryptococcus gattii on global morbidity and mortality.

Covers advancements in science and technology used to develop new disease control tools.

Discusses the application of intelligent technology in managing infectious disease outbreaks.

Provides insight into machine-learning based methods for fighting modern epidemics.

Analyzes the shift from traditional methods to new methodologies in public health research.

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