Short-term effects of air pollution on lower respiratory diseases and forecasting by the group method of data handling
Autor: | Donghuai Sun, Wenjin Zhu, Jianzhou Wang, Wenyu Zhang |
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Rok vydání: | 2012 |
Předmět: |
Pollution
Atmospheric Science medicine.medical_specialty Association rule learning media_common.quotation_subject Respiratory disease Air pollution Environmental engineering Seasonality medicine.disease medicine.disease_cause Geography Environmental health Epidemiology medicine Respiratory system Location General Environmental Science media_common |
Zdroj: | Atmospheric Environment. 51:29-38 |
ISSN: | 1352-2310 |
DOI: | 10.1016/j.atmosenv.2012.01.051 |
Popis: | Risk of lower respiratory diseases was significantly correlated with levels of monthly average concentration of SO 2 ; NO 2 and association rules have high lifts. In view of Lanzhou’s special geographical location, taking into account the impact of different seasons, especially for the winter, the relations between air pollutants and the respiratory disease deserve further study. In this study the monthly average concentration of SO 2 , NO 2 , PM 10 and the monthly number of people who in hospital because of lower respiratory disease from January 2001 to December 2005 are grouped equidistant and considered as the terms of transactions. Then based on the relational algebraic theory we employed the optimization relation association rule to mine the association rules of the transactions. Based on the association rules revealing the effects of air pollutants on the lower respiratory disease, we forecast the number of person who suffered from lower respiratory disease by the group method of data handling (GMDH) to reveal the risk and give a consultation to the hospital in Xigu District, the most seriously polluted district in Lanzhou. The data and analysis indicate that individuals may be susceptible to the short-term effects of pollution and thus suffer from lower respiratory diseases and this effect presents seasonal. |
Databáze: | OpenAIRE |
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