NDLI: Modelación de episodios críticos de contaminación por material particulado (PM10) en Santiago de Chile. Comparación de la eficiencia predictiva de los modelos paramétricos y no paramétricos.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Alvarado, Sergio A. Silva, Claudio S. Cáceres, Dante D.
Spatial Coverage	Chile
Description	Country affiliation: Chile Author Affiliation: Alvarado SA ( División de Bioestadística, Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, Santiago de Chile, Chile. salvarado@med.uchile.cl)
Abstract	OBJECTIVE: To evaluate the predictive efficiency of two statistical models (one parametric and the other non-parametric) to predict critical episodes of air pollution exceeding daily air quality standards in Santiago, Chile by using the next day PM10 maximum 24h value. Accurate prediction of such episodes would allow restrictive measures to be applied by health authorities to reduce their seriousness and protect the community's health. METHODS: We used the PM10 concentrations registered by a station of the Air Quality Monitoring Network (152 daily observations of 14 variables) and meteorological information gathered from 2001 to 2004. To construct predictive models, we fitted a parametric Gamma model using STATA v11 software and a non-parametric MARS model by using a demo version of Salford-Systems. RESULTS: Both models showed a high correlation between observed and predicted values. However, the Gamma model predicted PM10 values below 240 µg/m³ more accurately than did MARS. The latter was more efficient in predicting PM10 values above 240 µg/m³ throughout the study period. CONCLUSION: MARS models are more efficient in predicting extreme PM10 values and allow health authorities to adopt preventive methods to reduce the effects of these levels on the population's health. The reason for this greater accuracy may be that MARS models correct variations in the series over time, thus better fitting the curve associated with PM10 concentrations.
Related Links	http://www.scielosp.org/scielo.php?script=sci_arttext&nrm=iso&lng=pt&tlng=pt&pid=S0213-91112010000600006
File Format	HTM / HTML
ISSN	02139111
Issue Number	6
Volume Number	24
e-ISSN	15781283
Journal	Gaceta Sanitaria
Language	Spanish
Publisher	Elsevier
Publisher Date	2010-11-01
Publisher Place	Spain
Access Restriction	Subscribed
Subject Keyword	Discipline Public Health Air Pollution Analysis Statistics & Numerical Data Environmental Exposure Models, Statistical Chile Forecasting Statistics, Nonparametric Urban Health Comparative Study English Abstract Journal Article Research Support, N.i.h., Extramural
Alternative Title	Modeling critical episodes of air pollution by PM10 in Santiago, Chile. Comparison of the predictive efficiency of parametric and non-parametric statistical models
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health

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