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Springer Dynamic Models of Infectious Diseases Volume 2 - Non Vector-Borne

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Description

Dynamic Models of Infectious Diseases: Volume 2 focuses on non vector-borne infectious diseases that remain significant causes of morbidity and mortality despite advances in public health. This Springer publication addresses critical epidemiological challenges including tuberculosis, avian influenza (H5N1), and cryptococcus gattii, exploring how scientific and technological advancement has enabled new methodologies for disease control. The volume incorporates intelligent technology and machine-learning based approaches to provide healthcare practitioners and researchers with evidence-based models for understanding disease dynamics, epidemiological patterns, and intervention strategies. Essential reading for internal medicine specialists, epidemiologists, and public health professionals seeking comprehensive knowledge of non vector-borne infectious disease modelling and contemporary control measures.

Key Features

Springer publication provides in-depth analysis of non vector-borne infectious disease models for medical and healthcare practitioners.

Covers critical diseases including tuberculosis, avian influenza (H5N1), and cryptococcus gattii with evidence-based epidemiological approaches.

Incorporates machine-learning based methodologies and intelligent technology for modern disease dynamics understanding and prediction.

Volume 2 delivers comprehensive content for internal medicine specialists managing infectious and contagious disease prevention strategies.

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