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Sequencing the future: stopping infectious disease in its tracks using high-throughput sequencing technologies in urban areas

Houldcroft, CJ; (2015) Sequencing the future: stopping infectious disease in its tracks using high-throughput sequencing technologies in urban areas. Presented at: Science of Future Cities, Singapore. Green open access

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Abstract

Infectious diseases are a significant cause of morbidity and mortality across the world, and there are unique features of life in densely populated cities that make them a particular challenge. They may lead to short or long term illness, with direct healthcare costs and indirect losses in workforce productivity. The use of high-throughput sequencing technologies will allow cities to respond to these challenges on a number of levels. These include human genome sequencing at birth to predict infectious disease susceptibility; genetic surveillance and epidemiology to track emerging infectious diseases; genetic monitoring to ensure the success of vaccine strategies and to prevent the spread of antimicrobial resistance; and genetic diagnosis of infectious disease. Cities of the future must bring together clinical, research and industrial stakeholders to join different pieces of technology and research into a coherent health strategy. Sequencing-based management of infectious diseases has the potential to improve the health and quality of life of residents of future cities, even as populations grow in size and density, and become increasingly globalised. High-throughput sequencing is essential for the continued positive development of cities such as Singapore over the next 50 to 100 years, and beyond

Type: Conference item (UNSPECIFIED)
Title: Sequencing the future: stopping infectious disease in its tracks using high-throughput sequencing technologies in urban areas
Event: Science of Future Cities
Location: Singapore
Dates: 16 September
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © 2015 Science@50
Keywords: Next-generation sequencing, Molecular epidemiology, virology
UCL classification: UCL
URI: https://discovery.ucl.ac.uk/id/eprint/1469090
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