Challenges in modeling the emergence of novel pathogens

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...

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Główni autorzy: Glennon, EE, Bruijning, M, Lessler, J, Miller, IF, Rice, BL, Thompson, RN, Wells, K, Metcalf, CJE
Format: Journal article
Język:English
Wydane: Elsevier 2021
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author Glennon, EE
Bruijning, M
Lessler, J
Miller, IF
Rice, BL
Thompson, RN
Wells, K
Metcalf, CJE
author_facet Glennon, EE
Bruijning, M
Lessler, J
Miller, IF
Rice, BL
Thompson, RN
Wells, K
Metcalf, CJE
author_sort Glennon, EE
collection OXFORD
description 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.
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spelling oxford-uuid:c3184079-78af-4904-8550-b2d10b7305032023-11-03T12:54:07ZChallenges in modeling the emergence of novel pathogensJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c3184079-78af-4904-8550-b2d10b730503EnglishSymplectic ElementsElsevier2021Glennon, EEBruijning, MLessler, JMiller, IFRice, BLThompson, RNWells, KMetcalf, CJEThe 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.
spellingShingle Glennon, EE
Bruijning, M
Lessler, J
Miller, IF
Rice, BL
Thompson, RN
Wells, K
Metcalf, CJE
Challenges in modeling the emergence of novel pathogens
title Challenges in modeling the emergence of novel pathogens
title_full Challenges in modeling the emergence of novel pathogens
title_fullStr Challenges in modeling the emergence of novel pathogens
title_full_unstemmed Challenges in modeling the emergence of novel pathogens
title_short Challenges in modeling the emergence of novel pathogens
title_sort challenges in modeling the emergence of novel pathogens
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AT bruijningm challengesinmodelingtheemergenceofnovelpathogens
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AT ricebl challengesinmodelingtheemergenceofnovelpathogens
AT thompsonrn challengesinmodelingtheemergenceofnovelpathogens
AT wellsk challengesinmodelingtheemergenceofnovelpathogens
AT metcalfcje challengesinmodelingtheemergenceofnovelpathogens