In the face of extremely high levels of air pollution in the Indian capital city of New Delhi, authorities have taken the decision to ban the use of a large number of cars from 4 to 15 November. Those with a number plate ending in an odd number will not be allowed to drive there on 'odd' dates, and vice versa for even-numbered cars.
According to reporting by Reuters, the U.S. Embassy air quality index indicates a current level which can cause "serious aggravation of heart and lung disease, and premature mortality in people with existing diseases and the elderly". As this infographic shows, India as a whole has some of the most dangerously polluted air in the world. The Health Effects Institute's latest 'State of Global Air' report calculates the estimated years of life expectancy lost due to current air pollution levels, with India in place 8 and an average of 1.53 years cut due to PM2.5 exposure.
According to reporting by Reuters, the U.S. Embassy air quality index indicates a current level which can cause "serious aggravation of heart and lung disease, and premature mortality in people with existing diseases and the elderly". As this infographic shows, India as a whole has some of the most dangerously polluted air in the world. The Health Effects Institute's latest 'State of Global Air' report calculates the estimated years of life expectancy lost due to current air pollution levels, with India in place 8 and an average of 1.53 years cut due to PM2.5 exposure.
даже Таджикистан тут, интересно: чем там загрязняют?
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Life expectancy is a statistical estimate of the average lifespan (that is, years from birth to death) that individual in a population is expected to live. It takes into account all of the factors that affect life expectancy in that population including age and gender, underlying health status, smoking, diet, and other risk factors like air pollution.
To assess the impact of a particular factor on life expectancy, researchers quantify the likelihood of dying from diseases related to that factor at different ages in a population and calculate a “risk-deleted” life expectancy — that is, the length of life that would be expected if the factor were absent. The average difference between life expectancy with and without the risk factor quantifies the average change in life expectancy attributable to that factor.
The life expectancy findings presented here are based on the work of Assistant Professor Joshua Apte using 2016 data and methods from the Global Burden of Disease project. For more details, please consult his paper.
https://pubs.acs.org/doi/10.1021/acs.estlett.8b00360
https://www.bbc.com/russian/news-50335907
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