Background: The effectiveness of the Greek Health policies is highly doubted, especially in times of economic crisis. We selected a disease associated with one of the highest causes of mortality in Greece to explore this phenomenon. Methods: The number of deaths due to malignant neoplasms of larynx, trachea, bronchus and lung in 2001 and 2006 was used. Mortality rates were analyzed in relation to socioeconomic factors, through Cluster Analysis k-means. Finally, prediction of their variance across the different area of Greece in 2001 and 2006 was fulfilled by the interpolation method of ordinary kriging. Results: Prefectures of the same administrative region are characterised by different behavior while they may match with Prefectures of other administrative regions. In the prediction map, mortality rates range from 0.53 to 1.31, in 2001 and from 0.66 to 1.27, in 2006. There is an increase of mortality from one year to another, especially in some Prefectures that move from low clusters in 2001 to very high ones in 2006. Conclusions: This study outlines the regional and spatial inequalities in health, which could be scientifically revealed through the study of health data and their trends. We suggest the promotion of health maps for communication among public health researchers and decision makers.
| Published in |
Science Journal of Public Health (Volume 3, Issue 3-1)
This article belongs to the Special Issue Spatial Analysis and Mathematics in Health Research, During Times of Global Socio-Economic Instability |
| DOI | 10.11648/j.sjph.s.2015030301.16 |
| Page(s) | 30-34 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Malignant Neoplasms, Mortality Rates, Spatial Models, Kriging-Interpolation, Cluster Analysis
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APA Style
Sifaki-Pistolla Dimitra, Pistolla Georgia. (2015). Spatial Models Applied on Modern Epidemiological Research: An Example of Malignant Neoplasms of Larynx, Trachea, Bronchus and Lung. Science Journal of Public Health, 3(3-1), 30-34. https://doi.org/10.11648/j.sjph.s.2015030301.16
ACS Style
Sifaki-Pistolla Dimitra; Pistolla Georgia. Spatial Models Applied on Modern Epidemiological Research: An Example of Malignant Neoplasms of Larynx, Trachea, Bronchus and Lung. Sci. J. Public Health 2015, 3(3-1), 30-34. doi: 10.11648/j.sjph.s.2015030301.16
AMA Style
Sifaki-Pistolla Dimitra, Pistolla Georgia. Spatial Models Applied on Modern Epidemiological Research: An Example of Malignant Neoplasms of Larynx, Trachea, Bronchus and Lung. Sci J Public Health. 2015;3(3-1):30-34. doi: 10.11648/j.sjph.s.2015030301.16
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Download@article{10.11648/j.sjph.s.2015030301.16,
author = {Sifaki-Pistolla Dimitra and Pistolla Georgia},
title = {Spatial Models Applied on Modern Epidemiological Research: An Example of Malignant Neoplasms of Larynx, Trachea, Bronchus and Lung},
journal = {Science Journal of Public Health},
volume = {3},
number = {3-1},
pages = {30-34},
doi = {10.11648/j.sjph.s.2015030301.16},
url = {https://doi.org/10.11648/j.sjph.s.2015030301.16},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.s.2015030301.16},
abstract = {Background: The effectiveness of the Greek Health policies is highly doubted, especially in times of economic crisis. We selected a disease associated with one of the highest causes of mortality in Greece to explore this phenomenon. Methods: The number of deaths due to malignant neoplasms of larynx, trachea, bronchus and lung in 2001 and 2006 was used. Mortality rates were analyzed in relation to socioeconomic factors, through Cluster Analysis k-means. Finally, prediction of their variance across the different area of Greece in 2001 and 2006 was fulfilled by the interpolation method of ordinary kriging. Results: Prefectures of the same administrative region are characterised by different behavior while they may match with Prefectures of other administrative regions. In the prediction map, mortality rates range from 0.53 to 1.31, in 2001 and from 0.66 to 1.27, in 2006. There is an increase of mortality from one year to another, especially in some Prefectures that move from low clusters in 2001 to very high ones in 2006. Conclusions: This study outlines the regional and spatial inequalities in health, which could be scientifically revealed through the study of health data and their trends. We suggest the promotion of health maps for communication among public health researchers and decision makers.},
year = {2015}
}
TY - JOUR T1 - Spatial Models Applied on Modern Epidemiological Research: An Example of Malignant Neoplasms of Larynx, Trachea, Bronchus and Lung AU - Sifaki-Pistolla Dimitra AU - Pistolla Georgia Y1 - 2015/04/11 PY - 2015 N1 - https://doi.org/10.11648/j.sjph.s.2015030301.16 DO - 10.11648/j.sjph.s.2015030301.16 T2 - Science Journal of Public Health JF - Science Journal of Public Health JO - Science Journal of Public Health SP - 30 EP - 34 PB - Science Publishing Group SN - 2328-7950 UR - https://doi.org/10.11648/j.sjph.s.2015030301.16 AB - Background: The effectiveness of the Greek Health policies is highly doubted, especially in times of economic crisis. We selected a disease associated with one of the highest causes of mortality in Greece to explore this phenomenon. Methods: The number of deaths due to malignant neoplasms of larynx, trachea, bronchus and lung in 2001 and 2006 was used. Mortality rates were analyzed in relation to socioeconomic factors, through Cluster Analysis k-means. Finally, prediction of their variance across the different area of Greece in 2001 and 2006 was fulfilled by the interpolation method of ordinary kriging. Results: Prefectures of the same administrative region are characterised by different behavior while they may match with Prefectures of other administrative regions. In the prediction map, mortality rates range from 0.53 to 1.31, in 2001 and from 0.66 to 1.27, in 2006. There is an increase of mortality from one year to another, especially in some Prefectures that move from low clusters in 2001 to very high ones in 2006. Conclusions: This study outlines the regional and spatial inequalities in health, which could be scientifically revealed through the study of health data and their trends. We suggest the promotion of health maps for communication among public health researchers and decision makers. VL - 3 IS - 3-1 ER -
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