{"product_id":"mathematical-analysis-of-infectious-diseases-9780323905046","title":"Mathematical Analysis of Infectious Diseases","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eMathematical Analysis of Infectious Diseases provides an overview of the mathematical and epidemiological analysis of infectious diseases, focusing on epidemic modeling, transmission dynamics, intervention strategies, optimal control strategies, biodynamic hypothesis, diagnosis rate effects, data-driven graphical analysis, dynamic simulation, and scenario analysis. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 344 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 01 June 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Elsevier Science \u0026amp; Technology\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eMathematical Analysis of Infectious Diseases is a comprehensive resource that delves into the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis hold immense significance, not only in understanding the progression of diseases but also in making predictions about their evolution. This book serves as a focal point, particularly emphasizing the transmission dynamics of infectious diseases such as COVID-19 and exploring intervention strategies. It also discusses optimal control measures like vaccination and plasma transfusion, assessing their potential effectiveness in combating infections through compartmental and mathematical models in epidemiology, such as SI, SIR, SICA, and SEIR.\u003cbr\u003e\u003cbr\u003eFurthermore, the book encompasses a range of topics, including the biodynamic hypothesis and its application in mathematical modeling of biological growth and the analysis of infectious diseases. It explores mathematical modeling and analysis of diagnosis rate effects and virus prediction, utilizing data-driven graphical analysis to understand epidemic trends. Dynamic simulation and scenario analysis are employed to simulate the spread of diseases, while a systematic review is conducted to examine the mathematical modeling of infectious diseases, particularly focusing on coronaviruses.\u003cbr\u003e\u003cbr\u003eBy comprehensively covering these subjects, Mathematical Analysis of Infectious Diseases provides valuable insights into the complex dynamics of infectious diseases and offers practical strategies for their management and prevention. This book is a valuable resource for researchers, healthcare professionals, and policymakers alike, contributing to our understanding and response to infectious disease outbreaks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 450g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 191 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780323905046\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44096399114490,"sku":"9780323905046","price":102.64,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_16c81182-f5f7-43fd-9445-71871bca10ee.jpg?v=1658137570","url":"https:\/\/shulphink.com\/products\/mathematical-analysis-of-infectious-diseases-9780323905046","provider":"Shulph Ink","version":"1.0","type":"link"}