The book “Computational Techniques for Analysis of SARS-CoV-2 and COVID-19 Pandemic” written by S. Prabha is a comprehensive guide that explores the application of computational techniques and methodologies in analyzing the clinical, epidemiological, and public health aspects of the ongoing COVID-19 pandemic.

As the world grapples with the challenges posed by the SARS-CoV-2 virus, it is crucial to leverage the power of technology and data analysis to understand and combat the disease. This book delves into the realm of soft computing techniques, such as machine learning algorithms, and demonstrates their potential in analyzing epidemiological data related to the SARS-CoV-2 virus. By harnessing these computational techniques, researchers and healthcare professionals can gain valuable insights into the spread and severity of the virus, enabling them to make informed decisions regarding public health interventions.

One of the key areas covered in this book is the development of novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. With the aid of advanced image analysis techniques, medical practitioners can accurately identify and diagnose COVID-19 cases, even in the absence of traditional laboratory testing. The algorithms presented in the book have the potential to revolutionize the field of medical imaging by enabling mass screening of SARS-CoV-2 infected individuals, thus facilitating early detection and intervention.

In addition to image analysis, the book also explores various computational methods for computerized analysis of SARS-CoV-2 infection severity. By leveraging machine learning techniques, researchers can develop models that accurately predict the course of the COVID-19 epidemic, thereby aiding in resource allocation and healthcare planning. These models provide a holistic understanding of the pandemic and can assist in making informed decisions at various levels, from individual patient care to public health policy.

The book “Computational Techniques for Analysis of SARS-CoV-2 and COVID-19 Pandemic” goes beyond theoretical concepts and offers practical insights through real-life case studies. It showcases the application of computational techniques in tracking and managing infectious diseases, making it an invaluable resource for biomedical engineers, mathematicians, postgraduate students, researchers, and medical scientists.

Product Details

• Publisher: CRC Press; September 3, 2021
• Language: English
• ISBN: 9780367695293
• ISBN: 9781000439359
• eText ISBN: 9781003142584

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If you are a biomedical engineer, mathematician, postgraduate student, researcher, or medical scientist looking to delve into the world of computational techniques for analyzing the SARS-CoV-2 virus and the COVID-19 pandemic, this book is a must-have resource. By leveraging cutting-edge computational methods and machine learning algorithms, you can gain valuable insights into the epidemiological aspects of the virus, identify COVID-19 lesions in medical images, and even predict the course of the pandemic.

Don’t miss out on the opportunity to equip yourself with the knowledge and tools necessary to tackle the ongoing COVID-19 pandemic. Order your copy of “Computational Techniques for Analysis of SARS-CoV-2 and COVID-19 Pandemic” today and join the global effort to combat this unprecedented health crisis.