Lifetime occupational exposure proportion estimation methods: a sensitivity analysis in the general population

2021 ◽  
Author(s):  
Marie-Tülin Houot ◽  
Julie Homère ◽  
Hélène Goulard ◽  
Loïc Garras ◽  
Laurène Delabre ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Occupational Exposure ◽  
General Population ◽  
Estimation Methods ◽  
Proportion Estimation

scholarly journals O5D.3 Methods of estimating lifetime occupational exposure in the general population, based on job-exposure matrices

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A48.1-A48
Author(s):  
Marie Houot ◽  
Julie Homère ◽  
Hélène Goulard ◽  
Loïc Garras ◽  
Laurène Delabre ◽  
...  
Keyword(s):  
Occupational Exposure ◽  
General Population ◽  
Population Based ◽  
Estimation Methods ◽  
Cement Dust ◽  
Maximum Probability ◽  
Silica Dust ◽  
Weak Points ◽  
Flour Dust ◽  
The Impact

ObjectivesTo estimate proportion of pathologies attributable to occupational exposure, lifetime occupational exposure prevalence (LOEP) and relative risk are necessary. LOEP estimates are commonly used but often estimated with different methods. The method choice and the impact on estimates are rarely discuss in the literature. This study present and discuss the most widely used means of estimating LOEP and their respective impacts on estimates.MethodsA sample of individuals representative of the French population from 2007 was linked with four Matgéné job-exposure matrices: flour dust, cement dust, silica dust and benzene. LOEP and the 95% confidence interval were estimated using five methods: the maximum exposure probability during the career (Method 1), four using individual exposure probabilities, three of which subdivide careers into job-periods (Methods 2–4) and one which subdivides them into job-years (Method 5). To quantify differences between methods, percentage of variation were calculated for prevalence values on Methods 2 to 5 versus Method 1.ResultsFor each agent, LOEP estimated from the maximum probability during the career (Method 1) was consistently lower than prevalence taking account of job-periods or job-years. LOEP on Method 1 for flour dust, cement dust, silica dust and benzene were respectively 4.4%–95% CI [4.0–4.7], 4.3% [3.9–4.6], 6.1% [5.7–6.5] and 3.9% [3.6–4.2]. Percentage of variation ranged from 0% to 25.0% for flour dust, from 11.6% to 55.8% for cement dust, from 11.5% to 49.1% for silica dust and from 0% to 53.8% for benzene.ConclusionsThe present study provides a description of several LOEP estimation methods in the general population based on job-exposure matrices. It specifies the strong and weak points of each of the five chosen methods. For health monitoring purposes, LOEP should be reported as intervals, with low and high estimates obtained on different methods using job-periods (Methods 2–4).

Comparison between dynamic and static sensitivity analysis approaches for impact assessment of different potential evapotranspiration methods on hydrological models performance

2021 ◽  
Author(s):  
Rodric Mérimé Nonki ◽  
André Lenouo ◽  
Christopher J. Lennard ◽  
Raphael M. Tshimanga ◽  
Clément Tchawoua
Keyword(s):  
Sensitivity Analysis ◽  
Impact Assessment ◽  
Hydrological Modeling ◽  
Potential Evapotranspiration ◽  
Model Performance ◽  
Estimation Methods ◽  
Model Parameters ◽  
Hydrological Models ◽  
Sensitivity Approach ◽  
Static Sensitivity

AbstractPotential Evapotranspiration (PET) plays a crucial role in water management, including irrigation systems design and management. It is an essential input to hydrological models. Direct measurement of PET is difficult, time-consuming and costly, therefore a number of different methods are used to compute this variable. This study compares the two sensitivity analysis approaches generally used for PET impact assessment on hydrological model performance. We conducted the study in the Upper Benue River Basin (UBRB) located in northern Cameroon using two lumped-conceptual rainfall-runoff models and nineteen PET estimation methods. A Monte-Carlo procedure was implemented to calibrate the hydrological models for each PET input while considering similar objective functions. Although there were notable differences between PET estimation methods, the hydrological models performance was satisfactory for each PET input in the calibration and validation periods. The optimized model parameters were significantly affected by the PET-inputs, especially the parameter responsible to transform PET into actual ET. The hydrological models performance was insensitive to the PET input using a dynamic sensitivity approach, while he was significantly affected using a static sensitivity approach. This means that the over-or under-estimation of PET is compensated by the model parameters during the model recalibration. The model performance was insensitive to the rescaling PET input for both dynamic and static sensitivities approaches. These results demonstrate that the effect of PET input to model performance is necessarily dependent on the sensitivity analysis approach used and suggest that the dynamic approach is more effective for hydrological modeling perspectives.

Anthropometric Estimations for Iranian General Population

2020 ◽  
Author(s):  
Mahnaz SAREMI ◽  
Mahnaz KAZEMHAGHIGHI
Keyword(s):  
Systematic Review ◽  
General Population ◽  
Practical Purpose ◽  
Community Setting ◽  
Time Limit ◽  
Estimation Methods ◽  
Sources Of Information ◽  
Essential Requirement ◽  
Available Information

Background: An essential requirement exists for a single exhaustive source of anthropometric databank in Iran. Available information about Iranian bodily dimensions is not applicable to the general population due to the sample of people investigated. This study aimed to present the first Iranian anthropometric databank by estimation. Methods: After a systematic review, 24 relevant sources of information were found and included. No time limit was considered. The method of Rapid Anthropometrics Scaled for Height was used. Results: Overall, 36 bodily dimensions were estimated, for which the seven percentiles of 1st, 5th, 25th, 50th, 75th, 95th, and 99th were calculated, stratified by sex. Conclusion: The resulting tables can be claimed as the most representative anthropometric databank for Iranian general 20-64 yr population now. Data are suitable for practical purpose and are applicable in both occupational and community setting.

A simplified method to estimate the soil-water characteristic curve

2010 ◽  
Vol 47 (12) ◽  
pp. 1382-1400 ◽  
Author(s):  
Kheng-Boon Chin ◽  
Eng-Choon Leong ◽  
Harianto Rahardjo
Keyword(s):  
Sensitivity Analysis ◽  
Soil Water ◽  
Characteristic Curve ◽  
Estimation Methods ◽  
Index Properties ◽  
Soil Water Characteristic Curve ◽  
Fine Grained ◽  
Simplified Method ◽  
Basic Index ◽  
The One

This paper proposes a simplified method to estimate the soil-water characteristic curve (SWCC) for both coarse- and fine-grained soils using one-point SWCC measurement and basic index properties. Parameters of the Fredlund and Xing SWCC equation were correlated with the basic properties of 60 soils: 30 soils each of coarse- and fine-grained types. Sensitivity analysis revealed that the location of the one-point measurement at matric suctions of 10 and 500 kPa gave the most reliable SWCC using the proposed method for coarse- and fine-grained soils, respectively. The validity of the proposed method was evaluated using a total of 62 soils collated from published literature with 31 soils each of the coarse- and fine-grained types. The proposed method gives a good estimation of the SWCC and uses fewer parameters when compared with existing one-point SWCC estimation methods.

scholarly journals S2 Occupational exposure, breathlessness and COPD in a general population of older UK men

Thorax ◽  
2011 ◽  
Vol 66 (Suppl 4) ◽  
pp. A4-A5
Author(s):  
E. Pickles ◽  
J. Szram ◽  
S. J. Schofield ◽  
A. P. M. Woods ◽  
P. Cullinan
Keyword(s):  
Occupational Exposure ◽  
General Population

Li-Ion Cell Aging Model Online Parameter Estimation for Improved Prognosis

2016 ◽  
Author(s):  
Punit Tulpule ◽  
Chin-Yao Chang ◽  
Giorgio Rizzoni
Keyword(s):  
Sensitivity Analysis ◽  
Parameter Estimation ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Estimation Methods ◽  
Cell Aging ◽  
Model Parameters ◽  
Positive Electrodes ◽  
Aging Model ◽  
Estimation Algorithms

In this paper, a semi-empirical aging model of lithium-ion pouch cells containing blended spinel and layered-oxide positive electrodes is calibrated using aging campaigns. Sensitivity analysis is done on this model to identify the effect of parameter variations on the State of Health (SOH) prediction. The sensitivity analysis shows that the aging model alone is not robust enough to perform long term predictions, hence we propose to use online parameter estimation algorithms to adapt the model parameters. Four different estimation methods are compared using aging campaign. It is demonstrated that the estimation algorithms improve aging model leading to significant improvement in Remaining Useful Life (RUL) prediction.

scholarly journals Shapley effects for sensitivity analysis with dependent inputs: bootstrap and kriging-based algorithms

2019 ◽  
Vol 65 ◽  
pp. 266-293 ◽  
Author(s):  
Nazih Benoumechiara ◽  
Kevin Elie-Dit-Cosaque
Keyword(s):  
Sensitivity Analysis ◽  
Confidence Intervals ◽  
Global Sensitivity Analysis ◽  
Estimation Error ◽  
Random Variables ◽  
Monte Carlo Sampling ◽  
Estimation Methods ◽  
Statistical Dependence ◽  
Global Sensitivity ◽  
Sensitivity Indices

In global sensitivity analysis, the well-known Sobol’ sensitivity indices aim to quantify how the variance in the output of a mathematical model can be apportioned to the different variances of its input random variables. These indices are based on the functional variance decomposition and their interpretation becomes difficult in the presence of statistical dependence between the inputs. However, as there are dependencies in many application studies, this drawback enhances the development of interpretable sensitivity indices. Recently, the Shapley values that were developed in the field of cooperative games theory have been connected to global sensitivity analysis and present good properties in the presence of dependencies. Nevertheless, the available estimation methods do not always provide confidence intervals and require a large number of model evaluations. In this paper, a bootstrap resampling is implemented in existing algorithms to assess confidence intervals. We also propose to consider a metamodel in substitution of a costly numerical model. The estimation error from the Monte-Carlo sampling is combined with the metamodel error in order to have confidence intervals on the Shapley effects. Furthermore, we compare the Shapley effects with existing extensions of the Sobol’ indices in different examples of dependent random variables.

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