Part 1: Description of Research
My research paper will analyze the epidemiological transition as the main cause to affect health outcome of disease between OECD and Non-OECD countries. I will use three approaches to support it. I will select HIV/AIDS as the major point and use political economy approach to explain the differences between OECD and Non-OECD countries. First, I will show the death rate of HIV/AIDS for at least 20 countries (OECD and Non-OECD). This data will answer the health outcome in these countries such as mortality and treatment. In addition, the political economy approach could obviously interpret the effect of HIV/AIDS in the epidemiological transition with GDP/capita and income level. This part will extend to food, stress-length, environment and inequality. These data will allow me to compare OECD and Non-OECD countries and the effect in the epidemiological transition.
Part 2: List of Research Variables
The HIV/AIDS death rate for at least 20 countries will be from the WHO database, and this database shows the number of deaths distribution around the world. I will select the number of deaths of HIV from 2000 to 2019. In addition, I will download the decline in HIV incidence and mortality from 1990 to 2019.
https://www.who.int/teams/global-hiv-hepatitis-and-stis-programmes/data-use/hiv-data-and-statistics
https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths-due-to-hiv-aids
The GDP/capita will be from the OECD database, these will clearly demonstrate 20 countries of OECD and Non-OECD countries details. I will download 10 OECD and 10 Non-OECD countries’ GDP and income for 10 years, which are helping me to compare them into 2 groups.
https://stats.oecd.org/
The data of total health and social employment, income distribution, and food will be also from OECD database, I will select 20 countries with the total population. These data could extend to food, environment and inequality in each country and support my argument.
https://stats.oecd.org/
Rubric: Data Sources
Comment
The expression of epidemiological transition as a function of income and wealth is interesting. Creating the dataset to support such analysis will be important.
Mark
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