Time series studies estimating health risks associated with short-term exposure to air pollution
Studije vremenskih serija za procenu zdravstvenih rizika povezanih sa kratkotrajnim izlaganjima aerozagađenju
Апстракт
Epidemiological studies investigating the health effects of short-term exposure to air pollution most often assess the impact of variations in concentrations of air pollutants on the number of adverse health events from day to day, using regression models for analyzing time series data. Heterogeneity in the results of these studies is caused by differences in mixtures of pollutants, development level of health services, meteorological conditions, geographical location and characteristics of the population, but differences between the way regression models are formed and associated factor effect control are still present. The aim of this paper is to present the results of studies conducted in the world where the effects of air pollution on human health was investigated using time series models, and highlight the need for standardization of the regression models used in the analysis.
Epidemiološke studije koje istražuju zdravstvene efekte kratkotrajnog izlaganja aerozagađenju najčešće procenjuju uticaj varijacija koncentracija zagađujućih materija u vazduhu na broj negativnih zdravstvenih događaja iz dana u dan, korišćenjem regresionih modela za analizu vremenskih serija podataka. Do heterogenosti u rezultatima ovih studija dovode razlike u sastavu smeše polutanata, razvijenosti zdravstvene službe, meteoroloških prilika, geografskog položaja i karakteristika populacije, ali i još uvek su prisutne razlike u načinu formiranja regresionih modela i kontrole delovanja pridruženih faktora. Cilj ovog rada je prikaz rezultata studija sprovedenih u svetu u kojima je uticaj aerozagađenja na zdravlje ispitivan primenom modela vremenskih serija, kao i ukazivanje na potrebu standardizacije regresionih modela koji se koriste u analizi.
Кључне речи:
air pollution / regression models / time series / aerozagađanje / regresioni modeli / vremenske serijeИзвор:
Zdravstvena zaštita, 2012, 41, 4, 34-40Издавач:
- Komora zdravstvenih ustanova Srbije - Beograd
Финансирање / пројекти:
- Нове информационе технологије за аналитичко одлучивање базиране на организацији експеримента и опсервацији и њихова примена у биолошким, економским и социолошким системима (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-44007)
Институција/група
JakovTY - JOUR AU - Bogdanović, Dragan AU - Dolićanin, Ćemal AU - Ranđelović, Dragan AU - Milošević, Zoran AU - Dolićanin, Diana PY - 2012 UR - http://jakov.kpu.edu.rs/handle/123456789/455 AB - Epidemiological studies investigating the health effects of short-term exposure to air pollution most often assess the impact of variations in concentrations of air pollutants on the number of adverse health events from day to day, using regression models for analyzing time series data. Heterogeneity in the results of these studies is caused by differences in mixtures of pollutants, development level of health services, meteorological conditions, geographical location and characteristics of the population, but differences between the way regression models are formed and associated factor effect control are still present. The aim of this paper is to present the results of studies conducted in the world where the effects of air pollution on human health was investigated using time series models, and highlight the need for standardization of the regression models used in the analysis. AB - Epidemiološke studije koje istražuju zdravstvene efekte kratkotrajnog izlaganja aerozagađenju najčešće procenjuju uticaj varijacija koncentracija zagađujućih materija u vazduhu na broj negativnih zdravstvenih događaja iz dana u dan, korišćenjem regresionih modela za analizu vremenskih serija podataka. Do heterogenosti u rezultatima ovih studija dovode razlike u sastavu smeše polutanata, razvijenosti zdravstvene službe, meteoroloških prilika, geografskog položaja i karakteristika populacije, ali i još uvek su prisutne razlike u načinu formiranja regresionih modela i kontrole delovanja pridruženih faktora. Cilj ovog rada je prikaz rezultata studija sprovedenih u svetu u kojima je uticaj aerozagađenja na zdravlje ispitivan primenom modela vremenskih serija, kao i ukazivanje na potrebu standardizacije regresionih modela koji se koriste u analizi. PB - Komora zdravstvenih ustanova Srbije - Beograd T2 - Zdravstvena zaštita T1 - Time series studies estimating health risks associated with short-term exposure to air pollution T1 - Studije vremenskih serija za procenu zdravstvenih rizika povezanih sa kratkotrajnim izlaganjima aerozagađenju VL - 41 IS - 4 SP - 34 EP - 40 UR - https://hdl.handle.net/21.15107/rcub_jakov_455 ER -
@article{ author = "Bogdanović, Dragan and Dolićanin, Ćemal and Ranđelović, Dragan and Milošević, Zoran and Dolićanin, Diana", year = "2012", abstract = "Epidemiological studies investigating the health effects of short-term exposure to air pollution most often assess the impact of variations in concentrations of air pollutants on the number of adverse health events from day to day, using regression models for analyzing time series data. Heterogeneity in the results of these studies is caused by differences in mixtures of pollutants, development level of health services, meteorological conditions, geographical location and characteristics of the population, but differences between the way regression models are formed and associated factor effect control are still present. The aim of this paper is to present the results of studies conducted in the world where the effects of air pollution on human health was investigated using time series models, and highlight the need for standardization of the regression models used in the analysis., Epidemiološke studije koje istražuju zdravstvene efekte kratkotrajnog izlaganja aerozagađenju najčešće procenjuju uticaj varijacija koncentracija zagađujućih materija u vazduhu na broj negativnih zdravstvenih događaja iz dana u dan, korišćenjem regresionih modela za analizu vremenskih serija podataka. Do heterogenosti u rezultatima ovih studija dovode razlike u sastavu smeše polutanata, razvijenosti zdravstvene službe, meteoroloških prilika, geografskog položaja i karakteristika populacije, ali i još uvek su prisutne razlike u načinu formiranja regresionih modela i kontrole delovanja pridruženih faktora. Cilj ovog rada je prikaz rezultata studija sprovedenih u svetu u kojima je uticaj aerozagađenja na zdravlje ispitivan primenom modela vremenskih serija, kao i ukazivanje na potrebu standardizacije regresionih modela koji se koriste u analizi.", publisher = "Komora zdravstvenih ustanova Srbije - Beograd", journal = "Zdravstvena zaštita", title = "Time series studies estimating health risks associated with short-term exposure to air pollution, Studije vremenskih serija za procenu zdravstvenih rizika povezanih sa kratkotrajnim izlaganjima aerozagađenju", volume = "41", number = "4", pages = "34-40", url = "https://hdl.handle.net/21.15107/rcub_jakov_455" }
Bogdanović, D., Dolićanin, Ć., Ranđelović, D., Milošević, Z.,& Dolićanin, D.. (2012). Time series studies estimating health risks associated with short-term exposure to air pollution. in Zdravstvena zaštita Komora zdravstvenih ustanova Srbije - Beograd., 41(4), 34-40. https://hdl.handle.net/21.15107/rcub_jakov_455
Bogdanović D, Dolićanin Ć, Ranđelović D, Milošević Z, Dolićanin D. Time series studies estimating health risks associated with short-term exposure to air pollution. in Zdravstvena zaštita. 2012;41(4):34-40. https://hdl.handle.net/21.15107/rcub_jakov_455 .
Bogdanović, Dragan, Dolićanin, Ćemal, Ranđelović, Dragan, Milošević, Zoran, Dolićanin, Diana, "Time series studies estimating health risks associated with short-term exposure to air pollution" in Zdravstvena zaštita, 41, no. 4 (2012):34-40, https://hdl.handle.net/21.15107/rcub_jakov_455 .