Global Health Outcomes Data
Impact on Mortality Rates and Malnutrition in Countries Around the World
By Humanitarian Data Exchange [source]
About this dataset
This dataset provides comprehensive insights into critical health conditions around the world, such as mortality rate, malnutrition levels, and frequency of preventable diseases. It documents the prevalence of life-threatening diseases like malaria and tuberculosis, and are tracked alongside key health indicators like adult mortality rates, HIV prevalence, physicians per 10,000 people ratio and public health expenditures. Such metrics provide us with an accurate picture of how developed healthcare systems are in certain countries which ultimately leads to improvements in public policy formation and awareness amongst decision-makers. With this data it is possible to observe disparities between different regions of the world which can help inform global strategies for providing equitable care globally. This dataset is a valuable source for researchers interested in understanding global health trends over time or seeking to evaluate regional differences within countries
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How to use the dataset
This dataset provides comprehensive global health outcome data for countries around the world. It includes vital information such as infant mortality rates, child malnutrition rates, adult mortality rates, deaths due to malaria and tuberculosis, HIV prevalence rates, life expectancy at age 60 and public health expenditure. This dataset can be used to gain valuable insight into the challenges faced by different countries in providing a good quality of life for their citizens.
To use this dataset, first identify what questions you need answered and what outcomes you are looking to measure. You may want to look at specific disease-based indicators (e.g. malaria or tuberculosis), health-related indicators (e.g., nutrition), or overall population markers (e.g., life expectancy).
Then decide which data points from the provided fields will help answer your questions and provide the results needed - e.g,. infant mortality rate or HIV prevalence rate - extracting these values from relevant columns like “Infants lacking immunization (% of one-year-olds) Measles 2013” or “HIV prevalence, adult (% ages 15Ð49) 2013” respectively
Next extract other columnwise relevant information - e.g., country name — that could also aid your analysis using tools like Excel or Python's Pandas library; sorting through them based on any metric desired — e..g,, physicians per 10k people — while being mindful that some data points are missing in some cases (denoted by NA).
Finally perform basic analyses with either your own scripting language, like R/Python libraries' numerical functions with accompanying visuals/graphs etc if elucidating trends is desired; drawing meaningful conclusions about overall state of global health outcomes accordingly before making informed decisions thereafter if needed too!
Research Ideas
- Create a world health map to visualize the differences in health outcomes across different countries and regions.
- Develop an AI-based decision support tool that identifies optimal public health policies or interventions based on these metrics for different countries.
- Design a dashboard or web app that displays and updates this data in real-time, to allow users to compare the current state of global health indicators and benchmark them against historical figures
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: health-outcomes-csv-1.csv
| Column name |
Description |
| Country |
The name of the country. (String) |
| Infants exclusively breastfed (% ages 0Ð5 months) 2008Ð2013 |
The percentage of infants exclusively breastfed in the age range of 0-5 months from 2008-2013. (Float) |
| Infants lacking immunization (% of one-year-olds) DTP 2013 |
The percentage of one-year-olds lacking immunization for DTP in 2013. (Float) |
| Infants lacking immunization (% of one-year-olds) Measles 2013 |
The percentage of one-year-olds lacking immunization for measles in 2013. (Float) |
| Mortality rates (per 1,000 live births) Infant 2013 |
The mortality rate per 1,000 live births for infants in 2013. (Float) |
| Mortality rates (per 1,000 live births) Under-five 2013 |
The mortality rate per 1,000 live births for children under five in 2013. (Float) |
| Child malnutrition (% under age 5) Stunting (moderate or severe) 2008Ð2013 |
The percentage of children under five who are malnourished and stunted (moderate or severe) from 2008-2013. (Float) |
| Adult mortality rate (per 1,000 people) Female 2013 |
The mortality rate per 1,000 people for females in 2013. (Float) |
| Adult mortality rate (per 1,000 people) Male 2013 |
The mortality rate per 1,000 people for males in 2013. (Float) |
| Deaths due to Malaria (per 100,000 people) 2012 |
The number of deaths due to malaria per 100,000 people in 2012. (Float) |
| Deaths due to Tuberculosis (per 100,000 people) 2012 |
The number of deaths due to tuberculosis per 100,000 people in 2012. (Float) |
| HIV prevalence, adult (% ages 15Ð49) 2013 |
The percentage of adults aged 15-49 with HIV in 2013. (Float) |
| Life expectancy at age 60 (years) 2010/2015 |
The life expectancy at age 60 in 2010/2015. (Float) |
| Physicians (per 10,000 people) 2001Ð2013 |
The number of physicians per 10,000 people from 2001-2013. (Float) |
| Public health expenditure (% of GDP) 2013 |
The percentage of GDP spent on public health in 2013. (Float) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Humanitarian Data Exchange.