Human mortality in Cyprus: the role of temperature and particulate air pollution

Tsangari, Haritini; Paschalidou, Anastasia Κ.; Vardoulakis, Sotiris; Heaviside, Clare; Konsoula, Zoi; Christou, Stephanie; Georgiou, Kyriakos E.; Ioannou, Kyriaki; Mesimeris, Theodoulos; Kleanthous, Savvas; Pashiardis, Stelios; Pavlou, Pavlos; Kassomenos, Pavlos; Yamasaki, Edna N.

doi:10.1007/s10113-015-0793-2

Cited by 30 publications

(17 citation statements)

References 47 publications

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“…For example, Middleton et al [1] have estimated that, in Cyprus, for every 10 g m −3 increase in daily average PM 10 concentrations (particulate matter with diameter less than 10 m), there was a 0.9% increase in all-cause and 1.2% increase in cardiovascular admissions to medical establishments. However, contrary to what might have been expected in this country, recent findings indicate that air pollution does not appear to have a significant effect on the temperature-mortality relation [2].…”

Section: Introductioncontrasting

confidence: 79%

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Monitoring and Forecasting Air Pollution Levels by Exploiting Satellite, Ground-Based, and Synoptic Data, Elaborated with Regression Models

Michaelides

Paronis

Retalis

et al. 2017

Advances in Meteorology

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This paper presents some of the results of a project that aimed at the design and implementation of a system for the spatial mapping and forecasting the temporal evolution of air pollution from dust transport from the Sahara Desert into the eastern Mediterranean and secondarily from anthropogenic sources, focusing over Cyprus. Monitoring air pollution (aerosols) in near real-time is accomplished by using spaceborne and in situ platforms. The results of the development of a system for forecasting pollution levels in terms of particulate matter concentrations are presented. The aim of the present study is to utilize the recorded PM10 (particulate matter with aerodynamic diameter less than 10 μm) ground measurements, Aerosol Optical Depth retrievals from satellite, and the prevailing synoptic conditions established by Artificial Neural Networks, in order to develop regression models that will be able to predict the spatial and temporal variability of PM10 in Cyprus. The core of the forecasting system comprises an appropriately designed neural classification system which clusters synoptic maps, Aerosol Optical Depth data from the Aqua satellite, and ground measurements of particulate matter. By exploiting the above resources, statistical models for forecasting pollution levels were developed.

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Section: Introductioncontrasting

confidence: 79%

“…2 value for the multivariate regression model described by (2). The number shown above each bar in this plot indicates the number of the available data pairs (i.e., for which simultaneous PM 10 and AOD measurements exist) for the specific synoptic condition.…”

Section: Multivariate Linear Regressionmentioning

confidence: 99%

Monitoring and Forecasting Air Pollution Levels by Exploiting Satellite, Ground-Based, and Synoptic Data, Elaborated with Regression Models

Michaelides

Paronis

Retalis

et al. 2017

Advances in Meteorology

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show abstract

“…The ability of the energy sector to adapt and follow these changes was found satisfactory leading to the reduction in the overall vulnerability of the energy sector to future climate change. Tsangari et al (2016) discuss human mortality and the role of temperature and particulate air pollution through the use of a generalized linear model with quasi-Poisson regression. The research results showed that high temperatures had important effect on mortality with higher mortality rates, independent of seasonality and humidity.…”

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confidence: 99%

Climate change impacts and adaptation options in the Mediterranean basin

et al. 2016

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“…Extreme weather, in the form of heat waves or cold spells, is associated with adverse health effects in many regions of the world, where strong links between ambient temperature and increased mortality have been reported (Ferreira Braga et al, 2001;Basu and Samet, 2002;Basu et al, 2008;Basu, 2009;Guo et al, 2013;Urban et al, 2014;Wang et al, 2014;Tsangari et al, 2016). However, the exact shape of the exposure-response curve has been found to vary with location and latitude, depending on a number of physiological and behavioral factors (Guo et al, 2014;Keatinge et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the synoptic winter mortality climatology in five regions of England: Searching for evidence of weather signals

Paschalidou

Kassomenos

McGregor

2017

Science of The Total Environment

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Although heat-related mortality has received considerable research attention, the impact of cold weather on public health is less well-developed, probably due to the fact that physiological responses to cold weather can vary substantially among individuals, age groups, diseases etc., depending on a number of behavioral and physiological factors. In the current work we use the classification techniques provided by the COST-733 software to link synoptic circulation patterns with excess cold-related mortality in 5 regions of England. We conclude that, regardless of the classification scheme used, the most hazardous conditions for public health in England are associated with the prevalence of the Easterly type of weather, favoring advection of cold air from continental Europe. It is noteworthy that there has been observed little-to-no regional variation with regards to the classification results among the 5 regions, suggestive of a spatially homogenous response of mortality to the atmospheric patterns identified. In general, the 10 different groupings of days used reveal that excess winter mortality is linked with the lowest daily minimum/maximum temperatures in the area. However it is not uncommon to observe high mortality rates during days with higher, in relative terms, temperatures, when rapidly changing weather results in an increase of mortality. Such a finding confirms the complexity of cold-related mortality and highlights the importance of synoptic climatology in understanding of the phenomenon.

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Human mortality in Cyprus: the role of temperature and particulate air pollution

Cited by 30 publications

References 47 publications

Monitoring and Forecasting Air Pollution Levels by Exploiting Satellite, Ground-Based, and Synoptic Data, Elaborated with Regression Models

Monitoring and Forecasting Air Pollution Levels by Exploiting Satellite, Ground-Based, and Synoptic Data, Elaborated with Regression Models

Climate change impacts and adaptation options in the Mediterranean basin

Analysis of the synoptic winter mortality climatology in five regions of England: Searching for evidence of weather signals

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