PMC:7551987 / 7727-9284 JSONTXT 2 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T47 0-4 Sentence denotes 2.1.
T48 5-37 Sentence denotes Model Motivation and Application
T49 38-333 Sentence denotes The mathematical model explored in this study is adapted from a recent one developed to investigate environmental transmission of SARS-CoV-2 during the early-stage outbreak dynamics of coronavirus disease 2019 (COVID-19), with parameter values based on fits to actual country outbreak data [22].
T50 334-436 Sentence denotes In this study, we utilize this model to examine questions about the evolution of free-living survival.
T51 437-681 Sentence denotes While the phenomenon we examine is a very relevant one that manifests in the real world, we want to emphasize that none of the methods or results in this study are intended to be applied to the current COVID-19 pandemic (as of September, 2020).
T52 682-822 Sentence denotes This study is an attempt at responsible theoretical biology, with data-informed models and inferences that are germane to the natural world.
T53 823-975 Sentence denotes However, neither do we support the extrapolation of these findings to any particular aspect of COVID-19 nor should they inform a policy or intervention.
T54 976-1069 Sentence denotes The model applies to a number of scenarios that include outbreaks in a naïve host population.
T55 1070-1297 Sentence denotes This describes situations such as the evolution of novel viral lineages, viral spillover events, or host shifts, where a virus with a preexisting relationship between virulence and survival emerges in a population of new hosts.
T56 1298-1557 Sentence denotes Another such scenario where this model applies is one where a virus has already emerged but evolves in a subpopulation in the novel hosts before a migration event of some kind introduces the evolved virus population to a fully susceptible population of hosts.