DATA ANALYSIS
This paper aims to analyze the distribution of cancer mortality in the Italian regions and then switch to a more specific analysis by province. The data on mortality, population and data on major causes of death were taken from the ISTAT database online in 2003. Overall, we see a great variability in cancer mortality between the North and South of the country, which we analyze in more detail in the data of each region. I have therefore decided to analyze through statistical inference which could be the cause that he was the most important basis for continued tumor growth. Certainly, the causes can not be analyzed in their entirety because they are so high that the causes, known or otherwise, which could lead to the birth of cancer. Therefore I analyzed in the first instance the number of deaths throughout the country, first by region, by province and then I subsequently analyzed the information and compares the most important causes: income per capita abundance of elderly individuals and placement of nuclear power plants.
3.1 The cancer mortality
The first variable that I have taken into consideration and that which is centered around the statistical analysis is the number of cancer deaths. To this end, I collected data [1] on the resident population and the number of cancer deaths for every Italian region and compare the data from each region I analyzed a mortality rate for every ten thousand inhabitants: Deaths due to cancer / (Popolazione/10000). You can analyze the data obtained in the following table.
[1] Istat Source: Database of 2003.
A brief analysis of the data shows that the national average of cancer deaths (46), calculated on the number of deaths per ten thousand inhabitants, is exceeded by far in regions that are in the north of Italy: Lombardia (50) , California (53.7), Friuli Venezia Giulia (55.9), Emilia Romagna (55.4), Liguria (60.4), etc. ... While in the south 3.1 The cancer mortality
The first variable that I have taken into consideration and that which is centered around the statistical analysis is the number of cancer deaths. To this end, I collected data [1] on the resident population and the number of cancer deaths for every Italian region and compare the data from each region I analyzed a mortality rate for every ten thousand inhabitants: Deaths due to cancer / (Popolazione/10000). You can analyze the data obtained in the following table.
[1] Istat Source: Database of 2003.
estimates of mortality are significantly lower: Campania (37.9), Basilicata (36.6), Puglia (37.7), California (36.8), etc. ...
This supports the view again and exhorts us to continue in the statistical analysis so as to bring out the causes of these geographical anomalies.
In this chapter reference is made to the regional data to make it clear analysis of the values. Later, in the chapter on statistical regression, it will prey into account data on a provincial basis, viewed in the tables at the end of this work, to make more precise and specific statistical analysis.
3.2 Income per capita
The second variable considered is the income per capita for each Italian region. The choice of this variable is derived from an analysis published by the Corriere della Sera [1] second where cancer deaths are higher in developed countries and regions in developing areas. This derives from the result that the high standard of living can lead to excess is feeding both in the abuse of any type of property: alcohol, cigarettes, luxury goods are harmful to health, etc ... in addition to structures less suited to the diagnosis and treatment of cancers.
[1] Corriere della Sera, December 19, 2007.
A preliminary analysis of data is a certain analogy between the incomes of the more developed regions, located in northern Italy, and the number of deaths.
As in the previous section in the north have an average income exceeding the national average, approximately € 19,300: Texas (22,800), Trentino Alto Adige (26 511), Veneto (22,457), Friuli Venezia Giulia (22,946), etc. ... While in the south incomes are much lower: Puglia (13,427), Calabria ( 12,763), Sicily (13,647), Campania (13,752), etc. ...
3.3 Number of elderly
Another variable considered in the statistical analysis is the number of over -65 inside the territory under consideration. This decision stems from a particular propensity of the elderly population to diseases arising from poor tumor difese immunitarie presenti nell’organismo e dall’accumularsi dei danni genetici con il passare degli anni.
Secondo un’analisi del Corriere della Sera fra gli anziani i tumori sono dieci volte più diffusi che nel resto della popolazione [1] . Pertanto come per la variabile della mortalità, ho considerato un indice oggettivo, indipendente dalla popolazione presente nella regione, cioè il numero di over-65 presenti ogni dieci mila abitanti: N. Over-65/(Popolazione/10000).
[1] Corriere della Sera, 9 maggio 2006.
3.4 Radioattività
L’ultima variabile presa in analisi è la radioattività proveniente dalle scorie residue ancora presenti sul territorio nazionale derivante dalla produzione di energia nucleare.
Nonostante le centrali nucleari in Italia sono chiuse dal referendum del 1987, sono ancora presenti sul territorio nazionale 53 mila metri cubi di rifiuti nucleari, quanto un intero palazzo sessanta piani. In realtà le centrali, più che chiuse, sono in stato di “custodia protettiva passiva” preservando, ancora, al loro interno materiale radioattivo. Gli effetti delle radiazioni sulla materia vivente sono prodotti attraverso lo stesso meccanismo della ionizzazione per la materia inanimata. I danni più gravi si hanno quando le radiazioni ionizzanti colpiscono la molecola di DNA, presente nel nucleus of every cell. The extent of damage depends, first, the dose of radiation, and secondly, from the organ affected, which may be viable or nonviable, and finally the type of cellular damage: a cell can be destroyed completely affected, or may be altered without being destroyed, in which case there is the possibility that the active process of abnormal proliferation that is at the origin of carcinogenesis or any other form of cancer.
The next chapter is entirely devoted to the analysis because nuclear is not a statistically objective variables such as previous but needs some mathematical analysis for its consideration.
L’ultima variabile presa in analisi è la radioattività proveniente dalle scorie residue ancora presenti sul territorio nazionale derivante dalla produzione di energia nucleare.
Nonostante le centrali nucleari in Italia sono chiuse dal referendum del 1987, sono ancora presenti sul territorio nazionale 53 mila metri cubi di rifiuti nucleari, quanto un intero palazzo sessanta piani. In realtà le centrali, più che chiuse, sono in stato di “custodia protettiva passiva” preservando, ancora, al loro interno materiale radioattivo. Gli effetti delle radiazioni sulla materia vivente sono prodotti attraverso lo stesso meccanismo della ionizzazione per la materia inanimata. I danni più gravi si hanno quando le radiazioni ionizzanti colpiscono la molecola di DNA, presente nel nucleus of every cell. The extent of damage depends, first, the dose of radiation, and secondly, from the organ affected, which may be viable or nonviable, and finally the type of cellular damage: a cell can be destroyed completely affected, or may be altered without being destroyed, in which case there is the possibility that the active process of abnormal proliferation that is at the origin of carcinogenesis or any other form of cancer.
The next chapter is entirely devoted to the analysis because nuclear is not a statistically objective variables such as previous but needs some mathematical analysis for its consideration.
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