Applied Genomic Epidemiology Handbook A Practical Guide to Leveraging Pathogen Genomic Data in Public Health

An Applied Genomic Epidemiology Handbook: A Practical Guide to Leveraging Pathogen Genomic Data in Public Health provides rationale, theory, and implementation guidance to help public health practitioners incorporate pathogen genomic data analysis into their investigations.

About the author

Allison Black is a genomic epidemiologist passionate about strengthening public health's ability to use pathogen genomic data for outbreak response, disease surveillance, and decision-making. While she trained as an academic genomic epidemiologist, she now leads molecular epidemiology activities at the Washington State Department of Health.
Gytis Dudas is an evolutionary biologist at Vilnius University's Life Sciences Center working on RNA virus evolution at both long- and short-term scales. Most of Gytis' PhD and postdoctoral work focused on the genomic epidemiology of Ebola virus in West Africa and MERS coronavirus in the Arabian Peninsula.

Summary

An Applied Genomic Epidemiology Handbook: A Practical Guide to Leveraging Pathogen Genomic Data in Public Health provides rationale, theory, and implementation guidance to help public health practitioners incorporate pathogen genomic data analysis into their investigations.

Product details

• Authors: Allison Black, Black Allison, Allison Dudas Black, Gytis Dudas
• Publisher: Taylor & Francis Ltd.
• Content: Book
• Product form: Paperback / Softback
• Publication date: 18.03.2024
• Subject: Natural sciences, medicine, IT, technology > Medicine > General
• EAN: 9781032530260
• ISBN: 978-1-0-3253026-0
• Pages: 144
• Series: Chapman & Hall/CRC Computational Biology Series
• Subjects: Epidemiology & medical statistics, MEDICAL / Genetics, MEDICAL / Infectious Diseases, MEDICAL / Biostatistics, MEDICAL / Epidemiology, MEDICAL / Microbiology, Infectious & contagious diseases, Medical microbiology & virology, Medical Genetics, Infectious and contagious diseases, Medical microbiology and virology, Epidemiology and Medical statistics, Phylogenetic analysis, bioinformatics workflows, sequence data interpretation, pathogen transmission dynamics, public health genomics tools, infectious disease modelling, genomic data analysis for epidemiologists