Skin Cancer-Index

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Skin cancer is the most commonly diagnosed cancer worldwide. However, if detected early, it can be one of the easiest to cure. With this in mind, developed the following study to better understand the geographical and geopolitical factors which make skin cancer incidences more common, and sometimes deadly, in certain regions over others.

The study is divided into two sections: first, the Skin Cancer Susceptibility Index analyses the UV factor, the skin-tone by demographic percentages and rate of incidences from a range of countries to identify geographically where the highest rates of skin cancer are most likely to occur. Secondly, the Socioeconomic Treatment Index cross references national health spending and individual income against mortality rates to better understand the efforts undertaken worldwide to combat the disease.

“The incidence of both non-melanoma and melanoma skin cancers has increased dramatically over the past decades,” states Prof. Dietrick Abeck, Chief Medical Advisor for “Worldwide, more than 3-million non-melanoma skin cancers and 150,000 melanoma skin cancers are diagnosed each year. One in every three cancers diagnosed is a skin cancer.”

global skin cancer index

Calculations of factors
New cases by population (Scaled 1-10)

Average UV Factor and Skin Colour Scale (Scaled 1-10. Higher result = Stronger UV intensity/Higher skin tone susceptibility to UV rays)

Socio-economic score (Lower result = Better outcome. Ranked in order of success, with Sweden resulting in first)

National Health Spending (Scaled 1-10. Lower score = Higher spending by nation)

For detailed information and sources see below

Explanation and Sources:
*1)New Cases / Population: We took the number of new melanoma skin cancer cases per year from the WHO Globocan Report and divided it by the population of each country to get the skin cancer incidence.
*2)Average UV-Factor: Lists the intensity of UV-radiation averaged for the year. We scaled the numbers from 1-10, with 10 being the most intense UV radiation. Based on values from the worldwide UV-Index by the German Federal Office for Radiation Protection and averaged for the year.
*3)Skin Color Scale: We used the Fitzpatrick-Scale to estimate the average skin type of the countries based on ethnic distribution, scaled from 1-10 with 10 being the lightest skin type. The average skin type can be deceptive however in countries where the ethnic distribution is largley towards the end of either spectrum.
*4)Mortality Rate: Deaths each year from melanoma skin cancer divided by the number of new cases per year. Based on data from the WHO Globocan report.
*5)Lifetime Expectancy Inequality Index: Data from the Human Development Index. Inequality in distribution of expected lifespan based on data from tables estimated using the Atkinson inequality index. The higher the number the higher the inequality.
*6)National Health Spending Score: National Health Expenditure (% GDP) and per Capita Health Expenditure ($). The lower the number, the higher the spending. Based on Data from the World Bank
*7)Score: Factors in the Mortality Rate, national inequality and the national health spending per capita as well as the national health expenditure in % of the GDP. Also using an efficiency variable that is considering the per capita expenditure in purchasing parity power in relation to the survival rate (E) R=(((H1+H2+M)/5)+(I*5)+(E/10)) //R (Ranking) , H1 (Health Expenditure in % of GDP, H2 (Health Expenditure per year per capita in constant $), M (Mortality Rate), I (Ineuality in lifetime-expectancy), E (Efficiency of Health System, Survival Rate * Per Capita Expenditure (PPP)). The lower the number, the better the ranking.
Tip: learn more about other skin diseases , nail diseases, hair diseaes in our Dermatological-Journal at

last updated: 06.10.2016