Fig 1.
Age-standardized DD DALY rates from 1990 to 2017 in WB low-income constituents.
For each year (bar), the total DD DALY rate represents the sum of individual country DD DALY rates given in alphabetical order from left to right as follows: Afghanistan, Benin, Burkina Faso, Burundi, Central (Cen.) African Republic, Chad, Comoros, Democratic (Dem.) Republic (Rep.) of Congo, Eritrea, Ethiopia, Guinea, Guinea-Bissau, Haiti, Liberia, Madagascar, Malawi, Mali, Mozambique, Nepal, Niger, North Korea, Rwanda, Senegal, Sierra Leone, Somalia, South Sudan, Tanzania, The Gambia, Togo, Uganda and Zimbabwe. Asterisks identify the countries with the highest number of DD DALYs per 100,000 in 1990 (Niger; magenta asterisk) or in 2017 (Central African Republic; green asterisk).
Fig 2.
Age-standardized DD DALY rates from 1990 to 2017 in WB high-income constituents.
For each year (bar), the total DD DALY rate represents the sum of individual country DD DALY rates given in alphabetical order from left to right as follows: Andorra, Antigua and Barbuda, Australia, Austria, Bahrain, Barbados, Belgium, Bermuda, Brunei, Canada, Chile, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Greenland, Guam, Hungary, Iceland, Ireland, Israel, Italy, Japan, Kuwait, Latvia, Lithuania, Luxembourg, Malta, Netherlands, New Zealand, Northern (N.) Mariana Islands, Norway, Oman, Poland, Portugal, Puerto Rico, Qatar, Saudi Arabia, Seychelles, Singapore, Slovakia, Slovenia, South Korea, Spain, Sweden, Switzerland, Taiwan, The Bahamas, Trinidad and Tobago, United Arab Emirates, United Kingdom, United States, Uruguay, and Virgin Islands. Asterisks identify the countries with the highest number of DD DALYs per 100,000 in 1990 (Saudi Arabia; green asterisk) or in 2017 (Guam; purple asterisk; Northern Mariana Islands; blue asterisk).
Fig 3.
Years-of-life-lost (YLL) and years-lived-with-disability (YLD) due to DD.
YLL and YLD data are available from GBD2017 for the years 2000, 2010 and 2015. DD YLLs (x 103) and YLDs (x 103) for WB low-income (A) and WB high-income (B) countries by year are presented.
Fig 4.
The relationship between DD DALYs and sociodemographic index (SDI) for WB high-income (A), WB low-income (B) and global data combined (C). Each data point represents a single year from 1990–2017 and represents totaled DD DALYs per 100,000 for all WB high-income countries (A), WB low-income countries (B), or globally (C). The volatility statistic had a value of 13,254.65 for WB high-income regions (95% CI: 7,970.436, 13,837.297), 985,066.7 for WB low-income regions (95% CI: 897,082.9, 1,074,332.5), and 4,754,435.2 globally (95% CI: 3,415,048.0, 5,111,699.1).
Fig 5.
Age-standardized DD DALY rates from 1990 to 2017 in WB high-income constituents for females (A) and males (B). For each year (bar), the DD DALY rate per 100,000 represents the sum of individual country DD DALY rates given in alphabetical order from left to right as follows: Andorra, Antigua and Barbuda, Australia, Austria, Bahrain, Barbados, Belgium, Bermuda, Brunei, Canada, Chile, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Greenland, Guam, Hungary, Iceland, Ireland, Israel, Italy, Japan, Kuwait, Latvia, Lithuania, Luxembourg, Malta, Netherlands, New Zealand, Northern (N.) Mariana Islands, Norway, Oman, Poland, Portugal, Puerto Rico, Qatar, Saudi Arabia, Seychelles, Singapore, Slovakia, Slovenia, South Korea, Spain, Sweden, Switzerland, Taiwan, The Bahamas, Trinidad and Tobago, United Arab Emirates, United Kingdom, United States, Uruguay, and Virgin Islands. Asterisks identify the countries with the highest number of DD DALYs per 100,000 in 1990 (Saudi Arabia; green asterisk) or in 2017 (Guam; grey asterisk; Northern Mariana Islands; blue asterisk).
Fig 6.
Age-standardized DD DALY rates from 1990 to 2017 in WB low-income constituents for females (A) and males (B). For each year (bar), the DD DALY rate per 100,000 represents the sum of individual country DD DALY rates given in alphabetical order from left to right as follows: Afghanistan, Benin, Burkina Faso, Burundi, Central (Cen.) African Republic, Chad, Comoros, Democratic (Dem.) Republic (Rep.) of Congo, Eritrea, Ethiopia, Guinea, Guinea-Bissau, Haiti, Liberia, Madagascar, Malawi, Mali, Mozambique, Nepal, Niger, North Korea, Rwanda, Senegal, Sierra Leone, Somalia, South Sudan, Tanzania, Togo, The Gambia, Uganda and Zimbabwe. Brown asterisks identify data from Niger, which had the highest number of DD DALYs per 100,000 for both females (value = 21,842.85 (95% UI: 14,124.44566–29,316.44)) and males (value = 13,595.21 (95% UI: 8,862.79–19,531.25) in 1990. The blue asterisk identifies data from Central African Republic, which had the highest number of DD DALYs per 100,000 for males (value = 10,497.14 (95% UI: 5,794.68–16,518.80)) and the green asterisk identifies Chad, which had the highest number of DD DALYs per 100,000 for females (value = 6,963.74 (95% UI: 5,098.99–9,369.92)) in 2017.
Fig 7.
The relationship between age-standardized DD DALY and age for WB low-income countries.
Age is given in days (d) or years (y). The data are plotted with (A) and without (B) data from the under 10-year-old age classes. For each age class (bar), the sum of annual DD DALYs from 1990–2017 are presented.
Fig 8.
The relationship between age-standardized DD DALY and age for WB high-income countries.
Age is given in days (d) or years (y). For each age class (bar), the sum of annual DD DALYs from 1990–2017 are presented.
Fig 9.
The relationship between age-standardized DD DALY rates per 100,000 and age.
Age is given in years (y). The data are plotted for WB low income (A) and WB high-income (B) countries. For each age class (bar), the sum of annual DD DALY rates per 100,000 from 1990–2017 are presented.