Air pollution effects on hospital admissions: a statistical analysis of parallel time series

1994 ◽  
Vol 1 (4) ◽  
pp. 325-332 ◽  
Author(s):  
R. Burnett ◽  
S. Bartlett ◽  
D. Krewski ◽  
G. Robert ◽  
M. Raad-Young
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Statistical Analysis ◽  
Hospital Admissions ◽  
Pollution Effects ◽  
Parallel Time ◽  
Air Pollution Effects

Air Pollution Effects on Mortality - Sinergyc and Isolated Effects Using Time-Series and Case-Crossover Analysis

2014 ◽  
Vol 2014 (1) ◽  
pp. 2759
Author(s):  
Samya Pinheiro* ◽  
Paulo Saldiva ◽  
Joel Schwartz ◽  
Antonella Zanobetti
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Pollution Effects ◽  
Case Crossover ◽  
Air Pollution Effects ◽  
Crossover Analysis

scholarly journals Potential health impact of transport traffic restriction in the center of Baku, the capital of Azerbaijan

2020 ◽  
Vol 2 (3) ◽  
pp. 28-32
Author(s):  
Samir Mehtiyev
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Urban Areas ◽  
Health Impact ◽  
Health Priorities ◽  
Local Data ◽  
Pollution Effects ◽  
Potential Health ◽  
Pollution Levels ◽  
Air Pollution Effects

The transport traffic is known to be the major reason for air pollution in urban areas. Two pollutants should be considered with attention: the particles with diameter of less than 10 microns (PM10) and carbon monoxide. The paper discusses application of time-series and geographical studies to the investigation of air pollution health effects as well as attempts to estimate potential health impact of restriction traffic in the center of Baku by 25% based on local data published in 2012(4) and 2013(5). Time-series studies investigate association between short-term variations in air pollution levels and health events counts. Confounding factors that change slowly over the time do not introduce much distortion for the association in question as population is used as its own control. Geographical studies aimed at investigation of association between long-term exposure to air pollution and chronic health outcomes. They are known to be prone to confounding because they compare populations from different locations. The evidence of air pollution effects from time-series and geographical studies is complementary. The problem of traffic air pollution is being intensified with each year and becomes one of the main public health priorities in Baku. Assuming that the results of six cities study (3) can be generalized to Baku the total number of preventable annual deaths should be around 419 in case of restriction traffic in the center of Baku by 25%. For the low border of 95%CI the result is as much as 153. Despite uncertainties in assumptions the produced evidence fully justifies the proposed intervention.

Air pollution, mortality, at-risk population, new entry and life expectancy of the frail elderly in three U.S. cities

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Christian J. Murray ◽  
Frederick W. Lipfert
Keyword(s):  
At Risk ◽  
Air Pollution ◽  
Time Series ◽  
Air Quality ◽  
Life Expectancy ◽  
Short Term ◽  
Pollution Effects ◽  
Risk Population ◽  
Air Pollution Effects ◽  
New Entrants

AbstractWe present the findings of a new time-series model that estimates short-term health effects of particulate matter and ozone, as applied to three U.S. cities. The model is based on observed fluctuations of daily death counts and estimates the corresponding daily subpopulations at-risk of imminent death; it also shows that virtually all elderly deaths are preceded by a brief period of extreme frailty. We augment previous research by allowing new entrants to this at-risk population to be influenced by the environment, rather than be random. The mean frail subpopulations in the three cities, each containing between 3000 and 5000 daily observations on mortality, pollution, and temperature, are estimated to be about 0.1% of those aged 65 or more, and their life expectancies in this frail status are about one week. We find losses in life expectancy due to air pollution and temperature to be at most one day. Air pollution effects on new entrants into the frail population tend to exceed those on mortality. Our results provide context to the many time-series studies that have found significant short-term relationships between air quality and survival, and they suggest that benefits of air quality improvement should be based on increased life expectancy rather than estimated numbers of excess deaths.

Time series analysis of ambient air pollution effects on daily mortality

2017 ◽  
Vol 24 (25) ◽  
pp. 20261-20272 ◽  
Author(s):  
Yinsheng Guo ◽  
Yue Ma ◽  
Yanwei Zhang ◽  
Suli Huang ◽  
Yongsheng Wu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Time Series Analysis ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Daily Mortality ◽  
Pollution Effects ◽  
Series Analysis ◽  
Air Pollution Effects

scholarly journals Air pollution effects on myocardial infarction

2006 ◽  
Vol 40 (3) ◽  
pp. 414-419 ◽  
Author(s):  
Sônia Cendon ◽  
Luiz A A Pereira ◽  
Alfésio L F Braga ◽  
Gleice M S Conceição ◽  
Abraão Cury Junior ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Air Pollution ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Air Pollutants ◽  
Linear Models ◽  
Hospital Admissions ◽  
Absolute Number ◽  
Pollution Effects ◽  
Air Pollution Effects

OBJECTIVE: Myocardial infarction is an acute and severe cardiovascular disease that generally leads to patient admissions to intensive care units and few cases are initially admitted to infirmaries. The objective of the study was to assess whether estimates of air pollution effects on myocardial infarction morbidity are modified by the source of health information. METHODS: The study was carried out in hospitals of the Brazilian Health System in the city of São Paulo, Southern Brazil. A time series study (1998-1999) was performed using two outcomes: infarction admissions to infirmaries and to intensive care units, both for people older than 64 years of age. Generalized linear models controlling for seasonality (long and short-term trends) and weather were used. The eight-day cumulative effects of air pollutants were assessed using third degree polynomial distributed lag models. RESULTS: Almost 70% of daily hospital admissions due to myocardial infarction were to infirmaries. Despite that, the effects of air pollutants on infarction were higher for intensive care units admissions. All pollutants were positively associated with the study outcomes but SO2 presented the strongest statistically significant association. An interquartile range increase on SO2 concentration was associated with increases of 13% (95% CI: 6-19) and 8% (95% CI: 2-13) of intensive care units and infirmary infarction admissions, respectively. CONCLUSIONS: It may be assumed there is a misclassification of myocardial infarction admissions to infirmaries leading to overestimation. Also, despite the absolute number of events, admissions to intensive care units data provides a more adequate estimate of the magnitude of air pollution effects on infarction admissions.

Extreme weather and air pollution effects on cardiovascular and respiratory hospital admissions in Cyprus

2016 ◽  
Vol 542 ◽  
pp. 247-253 ◽  
Author(s):  
H. Tsangari ◽  
A.K. Paschalidou ◽  
A.P. Kassomenos ◽  
S. Vardoulakis ◽  
C. Heaviside ◽  
...  
Keyword(s):  
Air Pollution ◽  
Hospital Admissions ◽  
Extreme Weather ◽  
Pollution Effects ◽  
Air Pollution Effects
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