Literature DB >> 9860911

Structure, use, and validation of the IEUBK model.

M H Mickle1.   

Abstract

The potential impact of the effects of lead in children is a major concern. Although measurements of lead concentration can be made in a geographic area, it is difficult to predict the effects of this exposure that involve complicated biologic functions. Dynamic mathematical models that can be simulated on a digital computer provide one method of analysis to facilitate the prediction process. The integrated exposure uptake biokinetic (IEUBK) model is a dynamic mathematical model that has been discretized for execution on a digital computer. This paper is concerned with the general difficulties in validating a dynamic model of this type. A number of the general pitfalls of validating a model of this type are presented. The illustrations are of a general nature not requiring an understanding of the physiologic effects of lead on children. The concept of validating a model by comparing results to historical data is discussed. A comparison is made with traditional modeling efforts having this form of dynamic model. Also included are general mathematic concepts illustrating potential difficulties with intuitive analyses in calibrating a dynamic model.

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Year:  1998        PMID: 9860911      PMCID: PMC1533458          DOI: 10.1289/ehp.98106s61531

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  1 in total

1.  The role of current modeling techniques in planning for future needs in allied health.

Authors:  M T Vogt; M H Mickle; W G Vogt
Journal:  J Allied Health       Date:  1975
  1 in total
  3 in total

1.  Assessing Children's Lead Exposure in an Active Mining Community Using the Integrated Exposure Uptake Biokinetic Model.

Authors:  Dominika Heusinkveld; Mónica D Ramirez-Andreotta; Tania Rodríguez-Chávez; A Eduardo Sáez; Eric Betterton; Kyle Rine
Journal:  Expo Health       Date:  2021-05-19       Impact factor: 8.835

2.  Assessment of regional human health risks from lead contamination in Yunnan province, southwestern China.

Authors:  Lu Lu; Hongguang Cheng; Xuelian Liu; Jing Xie; Qian Li; Tan Zhou
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

3.  Use of a Cumulative Exposure Index to Estimate the Impact of Tap Water Lead Concentration on Blood Lead Levels in 1- to 5-Year-Old Children (Montréal, Canada).

Authors:  Gerard Ngueta; Belkacem Abdous; Robert Tardif; Julie St-Laurent; Patrick Levallois
Journal:  Environ Health Perspect       Date:  2015-06-16       Impact factor: 9.031

  3 in total

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