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Statistical analysis aiming at predicting respiratory tract disease hospital admissions from environmental variables in the city of São Paulo.

de Sousa Zanotti Stagliorio Coêlho M, Luiz Teixeira Gonçalves F, do Rosário Dias de Oliveira Latorre M - J Environ Public Health (2010)

Bottom Line: The respiratory tract diseases were divided into three categories: URI (Upper Respiratory tract diseases), LRI (Lower Respiratory tract diseases), and IP (Influenza and Pneumonia).The overall results of URI, LRI, and IP show clear correlation with SO₂ and CO, PM₁₀ and O₃, and PM₁₀, respectively, and the ETw4 (Effective Temperature) for all the three disease groups.It is extremely important to warn the government of the most populated city in Brazil about the outcome of this study, providing it with valuable information in order to help it better manage its resources on behalf of the whole population of the city of Sao Paulo, especially those with low incomes.

View Article: PubMed Central - PubMed

Affiliation: Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, Rua do Matão, Cidade Universitária, São Paulo, SP, Brazil. coelhomicheline@gmail.com

ABSTRACT
This study is aimed at creating a stochastic model, named Brazilian Climate and Health Model (BCHM), through Poisson regression, in order to predict the occurrence of hospital respiratory admissions (for children under thirteen years of age) as a function of air pollutants, meteorological variables, and thermal comfort indices (effective temperatures, ET). The data used in this study were obtained from the city of São Paulo, Brazil, between 1997 and 2000. The respiratory tract diseases were divided into three categories: URI (Upper Respiratory tract diseases), LRI (Lower Respiratory tract diseases), and IP (Influenza and Pneumonia). The overall results of URI, LRI, and IP show clear correlation with SO₂ and CO, PM₁₀ and O₃, and PM₁₀, respectively, and the ETw4 (Effective Temperature) for all the three disease groups. It is extremely important to warn the government of the most populated city in Brazil about the outcome of this study, providing it with valuable information in order to help it better manage its resources on behalf of the whole population of the city of Sao Paulo, especially those with low incomes.

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Related in: MedlinePlus

Measure of models fit,  (a) URI, (b) LRI and (c) IP.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: Measure of models fit, (a) URI, (b) LRI and (c) IP.

Mentions: From (5) (Section 2.2), was obtained for all the three disease categories, in order to evaluate the model's fit through of the pearson statistic (Figure 1).


Statistical analysis aiming at predicting respiratory tract disease hospital admissions from environmental variables in the city of São Paulo.

de Sousa Zanotti Stagliorio Coêlho M, Luiz Teixeira Gonçalves F, do Rosário Dias de Oliveira Latorre M - J Environ Public Health (2010)

Measure of models fit,  (a) URI, (b) LRI and (c) IP.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2913660&req=5

fig1: Measure of models fit, (a) URI, (b) LRI and (c) IP.
Mentions: From (5) (Section 2.2), was obtained for all the three disease categories, in order to evaluate the model's fit through of the pearson statistic (Figure 1).

Bottom Line: The respiratory tract diseases were divided into three categories: URI (Upper Respiratory tract diseases), LRI (Lower Respiratory tract diseases), and IP (Influenza and Pneumonia).The overall results of URI, LRI, and IP show clear correlation with SO₂ and CO, PM₁₀ and O₃, and PM₁₀, respectively, and the ETw4 (Effective Temperature) for all the three disease groups.It is extremely important to warn the government of the most populated city in Brazil about the outcome of this study, providing it with valuable information in order to help it better manage its resources on behalf of the whole population of the city of Sao Paulo, especially those with low incomes.

View Article: PubMed Central - PubMed

Affiliation: Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, Rua do Matão, Cidade Universitária, São Paulo, SP, Brazil. coelhomicheline@gmail.com

ABSTRACT
This study is aimed at creating a stochastic model, named Brazilian Climate and Health Model (BCHM), through Poisson regression, in order to predict the occurrence of hospital respiratory admissions (for children under thirteen years of age) as a function of air pollutants, meteorological variables, and thermal comfort indices (effective temperatures, ET). The data used in this study were obtained from the city of São Paulo, Brazil, between 1997 and 2000. The respiratory tract diseases were divided into three categories: URI (Upper Respiratory tract diseases), LRI (Lower Respiratory tract diseases), and IP (Influenza and Pneumonia). The overall results of URI, LRI, and IP show clear correlation with SO₂ and CO, PM₁₀ and O₃, and PM₁₀, respectively, and the ETw4 (Effective Temperature) for all the three disease groups. It is extremely important to warn the government of the most populated city in Brazil about the outcome of this study, providing it with valuable information in order to help it better manage its resources on behalf of the whole population of the city of Sao Paulo, especially those with low incomes.

Show MeSH
Related in: MedlinePlus