A map of the global burden of disease illustrates how diseases differ by country. The most disadvantaged regions, such as those with the least development, have DALY rates that are well below 20,000 per 100,000 people. High-income countries, such as the United States, China, and Japan also have low rates. In contrast, Sub-Saharan Africa has a high disease burden, with rates over 80,000 DALYs per person. The map shows the differences in disease burden by continent.
The study was conducted with data from the Global Burden of Disease report, which presents disease-related data by age, disability, and country. The chart on the left shows the relative DALYs for NCDs, while the one on the right shows the share of DALYs for diseases in low- and middle-income countries. For example, high-income countries suffer from higher than average rates of cancer than do low-income countries.
The results of this study were based on data from a longitudinal community surveillance project in the Agincourt sub-district in rural northeast South Africa. The Agincourt HDSS is a government-funded initiative that was created in 1992. This HDSS monitors nearly 70,000 people across 21 villages. The study aims to provide a better understanding of the profiles of malnutrition among children and inform interventions and policies.
The study is a nested case study that uses the Agincourt HDSS in rural northeast South Africa. This HDSS covers the entire Agincourt sub-district and follows more than 70,000 people in 21 villages. The area is characterized by poverty and high unemployment rates. The Agincourt HDSS also includes a wealth survey of each household every two years. These surveys are used to understand the socio-economic status of households.
The spatial geography of care is changing. A shift from a public space to a homespace environment is observed. The boundaries between home and institutional spaces are blurred, and the geographical burden of care is shifting from an institutional setting to a personal space. The spatial geography of care is changing as people shift from institutional to homespace, blurring the boundaries between public and private space. The factors contributing to this change in location of caring include demographic, social, and economic factors. Increasingly, a wider range of services are available to those with caregiving needs.
Macro factors affecting the spatial geography of care include socio-demographic factors, differential emphases on priorities, and patterns of spending. In addition, the Scottish environment is unique in that the personal geographies of carers vary by location. This research is primarily a case study of the geographical burden of care in Scotland. The analysis reveals how the spatial geography of care changes over time. However, the data and analyses presented are only the beginning. The research should be an important starting point for further research.