کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2813514 1569437 2015 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Eight challenges in phylodynamic inference
ترجمه فارسی عنوان
هشت چالش در استنتاج فیلوودینامیک
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


• We outline core challenges in phylodynamic inference.
• Evolutionary challenges include selection and recombination.
• Epidemiological challenges include population structure and stochasticity.
• Methodological challenges include sampling bias and computational complexity.

The field of phylodynamics, which attempts to enhance our understanding of infectious disease dynamics using pathogen phylogenies, has made great strides in the past decade. Basic epidemiological and evolutionary models are now well characterized with inferential frameworks in place. However, significant challenges remain in extending phylodynamic inference to more complex systems. These challenges include accounting for evolutionary complexities such as changing mutation rates, selection, reassortment, and recombination, as well as epidemiological complexities such as stochastic population dynamics, host population structure, and different patterns at the within-host and between-host scales. An additional challenge exists in making efficient inferences from an ever increasing corpus of sequence data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Epidemics - Volume 10, March 2015, Pages 88–92
نویسندگان
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