کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3422118 1226722 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Supersize me: how whole-genome sequencing and big data are transforming epidemiology
ترجمه فارسی عنوان
بالا بردن من: چگونگی توالی کامل ژنوم و داده های بزرگ اپیدمیولوژی را تغییر می دهد
کلمات کلیدی
مدل سازی ریاضی، استنتاج بیزی، تکامل پاتوژن، اپیدمیولوژی قانونی، چه کسی آلوده است؟ چه کسی؟
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروب شناسی
چکیده انگلیسی


• Whole-genome sequencing is used for forensic epidemiology.
• Big data can transform forensic epidemiology.
• Clustering, biases, wildlife reservoirs, and emerging infections can all be addressed.
• Phylodynamics approaches to integrate epidemiological and evolutionary data have been highly successful but still face scientific challenges.

In epidemiology, the identification of ‘who infected whom’ allows us to quantify key characteristics such as incubation periods, heterogeneity in transmission rates, duration of infectiousness, and the existence of high-risk groups. Although invaluable, the existence of many plausible infection pathways makes this difficult, and epidemiological contact tracing either uncertain, logistically prohibitive, or both. The recent advent of next-generation sequencing technology allows the identification of traceable differences in the pathogen genome that are transforming our ability to understand high-resolution disease transmission, sometimes even down to the host-to-host scale. We review recent examples of the use of pathogen whole-genome sequencing for the purpose of forensic tracing of transmission pathways, focusing on the particular problems where evolutionary dynamics must be supplemented by epidemiological information on the most likely timing of events as well as possible transmission pathways. We also discuss potential pitfalls in the over-interpretation of these data, and highlight the manner in which a confluence of this technology with sophisticated mathematical and statistical approaches has the potential to produce a paradigm shift in our understanding of infectious disease transmission and control.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 22, Issue 5, May 2014, Pages 282–291
نویسندگان
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