Challenges in modeling the emergence of novel pathogens

التفاصيل البيبلوغرافية
العنوان:	Challenges in modeling the emergence of novel pathogens
المؤلفون:	Glennon, E.E, Bruijning, M, Lessler, J, Miller, I.F, Rice, B.L, Thompson, R.N, Wells, K, Metcalf, C.J.E
المصدر:	Epidemics, 37
بيانات النشر:	Elsevier B.V.
سنة النشر:	2021
المجموعة:	Carolina Digital Repository (UNC - University of North Carolina)
مصطلحات موضوعية:	Data integration, Health system functioning, Fundamental theory, Immune landscape, Genotype to phenotype map, Big data
الوصف:	The emergence of infectious agents with pandemic potential present scientific challenges from detection to data interpretation to understanding determinants of risk and forecasts. Mathematical models could play an essential role in how we prepare for future emergent pathogens. Here, we describe core directions for expansion of the existing tools and knowledge base, including: using mathematical models to identify critical directions and paths for strengthening data collection to detect and respond to outbreaks of novel pathogens; expanding basic theory to identify infectious agents and contexts that present the greatest risks, over both the short and longer term; by strengthening estimation tools that make the most use of the likely range and uncertainties in existing data; and by ensuring modelling applications are carefully communicated and developed within diverse and equitable collaborations for increased public health benefit.
نوع الوثيقة:	article in journal/newspaper
اللغة:	English
العلاقة:	https://doi.org/10.17615/xkh4-4h56Test; https://cdr.lib.unc.edu/downloads/1v53k8229?file=thumbnailTest; https://cdr.lib.unc.edu/downloads/1v53k8229Test
DOI:	10.17615/xkh4-4h56
الإتاحة:	https://doi.org/10.17615/xkh4-4h56Test https://cdr.lib.unc.edu/downloads/1v53k8229?file=thumbnailTest https://cdr.lib.unc.edu/downloads/1v53k8229Test
رقم الانضمام:	edsbas.1ECA598B
قاعدة البيانات:	BASE

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الوصف
DOI:	10.17615/xkh4-4h56