An average of 1.5 MILLION (1,500,000) PEOPLE DIE of Tuberculosis (TB) each year
Each year, nearly 9 million people in the world become sick with TB disease, and almost 1.5 million deaths are attributed to TB. While the number of TB cases in the United States has been declining since 1993, there remains a higher-than-normal burden of TB among racial and ethnic minorities.
Tuberculosis, also called TB, is one of the world's deadliest diseases and has been affecting people for thousands of years. It's estimated that 2 billion people—one-third of the people in the world—are infected with M. tuberculosis. Each year, nearly 9 million people in the world become sick with TB disease, and almost 1.5 million deaths are attributed to TB. While the number of TB cases in the United States has been declining since 1993, there remains a higher-than-normal burden of TB among racial and ethnic minorities. This is due to the unequal distribution of TB risk factors that can increase the chance of developing the disease.
Source:
https://www.sharecare.com/health/tuberculosis-tb-lung-disease/how-many-people-world-tuberculosis
Mycobacterium tuberculosis is one of the main causes of human death throughout history. In 2016, it was the single infectious agent causing the most deaths. However, many tuberculosis cases are not diagnosed, and many of the deaths it causes are not properly assigned, which means that the global disease mortality must be estimated using mathematical and statistical models.
And here lies the problem. The WHO estimated that the disease caused 1.8 million deaths in 2015, while the IHME, that leads the Global Burden of Disease study, an estimated 1.3 million deaths for the same year. This difference of almost a half-million deaths could have a considerable impact on the design and evaluation of health interventions.
ISGlobal researchers Alberto García-Basteiro and Joe Brew, together with colleagues from other research centers, undertook a study to understand the reasons underlying these differences in estimates. They compared the WHO and IHME databases, analyzed their methodology, and tried to explore which factors might drive the observed differences.
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