Author/Editor		Gale, Ivanka; Vegnuti, Miljana; Hojs, Ana; Cegnar, Tanja
Title		Short term effect of air pollution and meteorological parameters on daily morbidity for respiratory disease and mortality during the period 1992-94 in Velenje
Type		članek
Source		In: Hočevar A, Črepinšek Z, Kajfež-Bogataj L, editors. Biometeorology 14. Proceedings of the 14th international congress of biometeorology; Part 2. (Vol 3); 1996 Sep 1-8; Ljubljana. Ljubljana: Slovenian meteorological society,
Publication year		1996
Volume		str. 32-39
Language		eng
Abstract		Several assumptions of the relationships between human health and the environmental factors were made of the daily data on respiratory diseases, mortality and the meteorological data in general as well as the parameters of the air pollution. Most of the environmental figures have been seasonal characterized, so the sulphur dioxide and the smoke are more concentrated at winter time, which is the appropriate period for elevation of the respiratory diseases nevertheless. On the other side we observe the data on mortality as constant through over the year. The observation units are 1096 days or three years data on the city of Velenje, which lies in the central industrialized valley of Slovenia. In the year of 1991 it had 43 286 inhabitants, most of them are living in the urban area. The greatest air pollution providers are thermal power plant at Šoštanj, coal depository the atone-pit, house fire-places, the waste disposal site and traffic. As a first step in detecting data base problems and assessing analysis assumptions we used elaborate descriptive approaches, including correlations among pairs of variables, plots of the response, as a function of each predicotr and analysis of the variance with the combined categorical and continuos variables. Of the most benefit were the descriptive statistics computed for the variables in the assessing the appropriateness of the regression assumptions. Even at the first stage of the regression diagnostics the preblem of collinearity among the predictor variables was detected. For the study on the weather condition influences on the human health, measured by the frequency of the first doctor visit for the respiratory diseases, we constructed the model of nine weather types differentiated by air pressure and temperature daily changes.(Abstract truncated at 2000 characters.)
Descriptors		RESPIRATORY TRACT DISEASES AIR POLLUTANTS CIRCADIAN RHYTHM SEASONS SULFUR DIOXIDE