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Titlebook: Dynamic Models of Infectious Diseases; Volume 2: Non Vector V. Sree Hari Rao,Ravi Durvasula Book 2013 Springer Science+Business Media New Y

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發(fā)表于 2025-3-21 18:23:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Dynamic Models of Infectious Diseases
副標(biāo)題Volume 2: Non Vector
編輯V. Sree Hari Rao,Ravi Durvasula
視頻videohttp://file.papertrans.cn/284/283674/283674.mp4
概述Explores numerous aspects of non vector-borne diseases.Looks at the variety of ways in which infectious diseases can be handled.Examines procedures that can be developed for predicting the future cour
圖書(shū)封面Titlebook: Dynamic Models of Infectious Diseases; Volume 2: Non Vector V. Sree Hari Rao,Ravi Durvasula Book 2013 Springer Science+Business Media New Y
描述Though great advances in public health are witnessed world over in recent years, infectious diseases, besides insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Control of the epidemics caused by the non-vector borne diseases such as tuberculosis, avian influenza (H5N1) and cryptococcus gattii, have left a very little hope in the past. The advancement of research in science and technology has paved way for the development of new tools and methodologies to fight against these diseases. In particular, intelligent technology and machine-learning based methodologies have rendered useful in developing more accurate predictive tools for the early diagnosis of these diseases. In all these endeavors the main focus is the understanding that the process of transmission of an infectious disease is nonlinear (not necessarily linear) and dynamical in character. This concept compels the appropriate quantification of the vital parameters that govern these dynamics. This book is ideal for a general science and engineering audience requiring an in-depth exposure to current issues, ideas, methods, and models. The topics discussed serve as a useful reference to
出版日期Book 2013
關(guān)鍵詞infectious diseases; Systems Biology
版次1
doihttps://doi.org/10.1007/978-1-4614-9224-5
isbn_softcover978-1-4939-4267-1
isbn_ebook978-1-4614-9224-5
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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Two-Component Signalling Systems of ,: Regulators of Pathogenicity and More,causative agent is disseminated by aerosol droplets released in the air by infected individuals by coughing, sneezing or even speaking. This form of the dissemination is very lethal as a very small bacillary dose is enough to elicit infection and the bacilli can stay viable in air for extended durat
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Trends in HIV Transmission According to Differences in Numbers of Sexual Partnerships Among Men Wholate 1990s HIV infections had been reported in all 31 provinces, autonomous regions, and municipalities, with drug users accounting for 60–70% of reported infections [9]. The fourth phase (2001-present) was marked by a series of events and interventions that responded to HIV on a national level [1,
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Volkmar Pipek,Philippe Nuderscher,Markus Woncision making is emerging in recent years, and this knowledge is widely employed to predict the dynamics of the real-world processes such as epidemics. In this chapter we build design strategies for the control of simple epidemics following these two approaches. We propose a realistic mathematical m
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Periphere Wahrnehmung von Expertisecausative agent is disseminated by aerosol droplets released in the air by infected individuals by coughing, sneezing or even speaking. This form of the dissemination is very lethal as a very small bacillary dose is enough to elicit infection and the bacilli can stay viable in air for extended durat
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Periphere Wahrnehmung von Expertisen our knowledge of the basic biology of ., as it pertains to pathogen and human interactions. We still do not know the extent of genetic diversity in tuberculosis bacteria, nor do we understand the implications of this diversity in terms of virulence, vaccine, and drug development. Nevertheless, the
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