Nicholas Myers

Works (4)

Updated: February 15th, 2025 05:01

2024 journal article

Modeling BK Virus Infection in Renal Transplant Recipients

VIRUSES-BASEL, 17(1).

By: N. Myers n, D. Droz n, B. Rogers*, H. Tran n , K. Flores n, C. Chan *, S. Knechtle *, A. Jackson * ...

author keywords: kidney; renal; transplant; modeling; sensitivity; BKPyV; model calibration; immunosuppression
Sources: Web Of Science, ORCID
Added: December 31, 2024

2020 journal article

Lethal and sublethal effects of toxicants on bumble bee populations: a modelling approach

ECOTOXICOLOGY, 29(3), 237–245.

By: J. Banks *, H. Banks n, N. Myers n, A. Laubmeier n & R. Bommarco *

author keywords: Hymenoptera; Neonicitinoid; Delay differential equation
MeSH headings : Agriculture; Animals; Bees / physiology; Ecosystem; Environmental Monitoring; Hazardous Substances / toxicity; Neonicotinoids / toxicity; Pesticides / toxicity; Pollination
TL;DR: A delay differential equation (DDE) model is used, which requires fewer parameter estimations than agent-based models while affording the ability to explicitly describe the effect of larval incubation and colony history on population outcomes. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: March 16, 2020

2018 journal article

PARAMETER IDENTIFICATION AND SENSITIVITY ANALYSIS FOR A PHYTOPLANKTON COMPETITION MODEL

QUARTERLY OF APPLIED MATHEMATICS, 77(1), 1–18.

By: T. Stojsavljevic *, G. Pinter*, I. Lauko* & N. Myers n

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13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Source: Web Of Science
Added: December 3, 2018

2016 journal article

Parameter Estimation Using Unidentified Individual Data in Individual Based Models

MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 11(6), 9–27.

By: H. Banks n, R. Baraldi n, J. Catenacci n & N. Myers n

author keywords: pharmacokinetics; pharmacodynamics; physiological based pharmacokinetic modeling; inter-individual parameter variability; uncertainty quantification; random differential equations; distribution estimation; Prohorov metric framework; aggregate population data
TL;DR: This work proposes a novel method which accounts for inter-individual variability in experiments where only unidentified individual data is available, and results in more accurate quantification of the uncertainty attributed to inter- individual variability. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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