“A Quick Glance at 49 Devastating Infectious Diseases around Globe.”, According to the World Health Organization, there were plenty of different diseases and health-related ailments. In other words, you should be thanking your immune system and modern medicine before you go to sleep each and every night. Of those numerous diseases, perhaps none is more common than infectious diseases, which are defined by WHO as "any pathogenic microorganism that can be spread directly or indirectly from one person to another." In a given year, we are literally talking about billions of people that will contract an infectious disease. Keep in mind, of course, that this could be something as simple as the common cold, which is often nothing more than a nuisance, to something as serious as the HIV/AIDS virus, which has claimed nearly 14 million lives since the epidemic began in the 1980s. Based on WHO's statistics, the combination of AIDS, malaria, and tuberculosis is responsible for half (approximately 5 million) of all infectious-disease deaths each year. With that in mind, an effort has been made to compile this E-Booklet to throw a rapid glance at the world’s 49 deadliest infectious diseases around the globe for the busy and enthusiastic medicos along with plenty of illustrations. …Dr. H. K. Saboowala. M.B.(Bom) .M.R.S.H.(London)

4 STAR DOODY'S REVIEW "This is a comprehensive manual summarizing key points for the diagnosis and management of infectious diseases encountered by health care clinicians. It is written in a condensed, outline form of the textbook "Infectious Diseases in 30 Days" with the addition of "Highlights" at the beginning of each chapter. The initial chapter provides a thoughtful review of anti-infective therapy. The subsequent 16 chapters outline key facts in the diagnosis and treatment of infectious diseases."--Doody's Review Service Designed to fit into a lab coat pocket, this handy reference provides quick access to diagnosis and treatment information of the full spectrum of infectious diseases. Features a minimum amount of text and a maximum amount of tables, charts, graphs, and mnemonics for easy access.

This book represents a much-needed paediatric reference book, especially with regards to developing countries. It will be of interest and use to all professional stakeholders in paediatrics and child health, including paediatricians, general practitioners, family medicine specialists, paediatric teachers and lecturers, and medical students. It covers a wide range of topics including clinical paediatrics, preventive and social paediatrics, infectious diseases, non-communicable diseases, child health, clinical history taking, systemic physical examination and clinical reasoning. It also considers interdisciplinary areas like paediatric dermatology and paediatric orthopaedics. As such, this is an invaluable book, and it brings together a wide range of experienced experts from various specialties and institutions.

Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, Second Edition tackles the complexity of clinical microbiology by assigning every infectious organism to one of 40+ taxonomic classes and providing a description of the defining traits that apply to all the organisms within each class. This edition is an updated, revised and greatly expanded guide to the classes of organisms that infect humans. This book will provide students and clinicians alike with a simplified way to understand the complex fields of clinical microbiology and parasitology. - Focuses on human disease processes and includes numerous clinical tips for healthcare providers - Describes the principles of classification and explains why the science of taxonomy is vital to the fields of bioinformatics and modern disease research - Provides images of prototypical organisms for taxonomic classes - Includes a section that lists common taxonomic pitfalls and how they can be avoided

Designed to fit into a lab coat pocket, this handy reference provides quick access to treatment information of the most common dermatologic disorders. Features a minimum amount of text and a maximum amount of tables, charts, graphs, and mnemonics for easy access.

Despite the development of numerous antimicrobial agents, the successful eradication of bacterial infections remains a challenge, and bacteria continue to pose a major public health threat. It is estimated that, due to the increasing prevalence of antibiotic resistance, infectious diseases will become a leading cause of death by 2050. The current annual focus is on the challenges and advantages in the prevention and diagnosis of infections caused by ESKAPE pathogens. The book also includes a dedicated chapter on the diagnosis of tuberculosis, one of the leading infectious causes of death worldwide. Additionally, readers will find chapters describing achievements in the diagnosis and detection of common gastrointestinal tract pathogens, Listeria monocytogenes and Campylobacter jejuni, authored by experts in their fields.

Molecular epidemiology has recently broaden its focuses due to the development of molecular tools but also by incorporating advances of other fields such as mathematical epidemiology, molecular ecology, population genetics and evolution. Facing new risks of emerging and re-emerging infectious diseases that are threats for humans and their livestock, the objectives of molecular epidemiology include: - the development of molecular tools, genotyping and gene expression - the incorporation of concepts and results of population genetics of infectious diseases - the integration of recent advances in theoretical epidemiology and evolutionary ecology of diseases - a better understanding of transmission for the development of risk factors analyses. This book will demonstrate how the latest developments in molecular tools and in epidemiology can be integrated with studies of host-pathogen interactions. Besides a strong theoretical component, there will also be an emphasis on applications in the fields of epidemiology, public health, veterinary medicine, and health ecology. Students and researchers in the fields of epidemiology, animal and human health, evolutionary ecology, parasitology are the main potential readers of the book, as well as a broader audience from veterinary medicine and conservation.

Data Science for Infectious Disease Data Analytics: An Introduction with R provides an overview of modern data science tools and methods that have been developed specifically to analyze infectious disease data. With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered coronavirus disease (COVID-19). The primary emphasis of this book is the data science procedures in epidemiological studies, including data wrangling, visualization, interpretation, predictive modeling, and inference, which is of immense importance due to increasingly diverse and nonexperimental data across a wide range of fields. The knowledge and skills readers gain from this book are also transferable to other areas, such as public health, business analytics, environmental studies, or spatio-temporal data visualization and analysis in general. Aimed at readers with an undergraduate knowledge of mathematics and statistics, this book is an ideal introduction to the development and implementation of data science in epidemiology. Features Describes the entire data science procedure of how the infectious disease data are collected, curated, visualized, and fed to predictive models, which facilitates effective communication between data sources, scientists, and decision-makers. Explains practical concepts of infectious disease data and provides particular data science perspectives. Overview of the unique features and issues of infectious disease data and how they impact epidemic modeling and projection. Introduces various classes of models and state-of-the-art learning methods to analyze infectious diseases data with valuable insights on how different models and methods could be connected.