2021
DOI: 10.1016/j.scitotenv.2021.145035
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Ambient fine particulate matter in Latin American cities: Levels, population exposure, and associated urban factors

Abstract: Background Exposure to particulate matter (PM 2.5 ) is a major risk factor for morbidity and mortality. Yet few studies have examined patterns of population exposure and investigated the predictors of PM 2.5 across the rapidly growing cities in lower- and middle-income countries. Objectives Characterize PM 2.5 levels, describe patterns of population exposure, and investigate urban factors a… Show more

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Cited by 57 publications
(30 citation statements)
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References 40 publications
(47 reference statements)
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“…Various environmental and policy features linked to the prevalence of these risks factors [including factors such as air pollution, access to healthier and processed foods, walkability, and green spaces ( 50 , 51 )] may be strongly linked to city size in the United States and not so strongly linked to city size in Latin America, as has been observed in a comparison of U.S. and Indian and Chinese cities, which show very different scaling patterns for air pollution ( 52 ). However, an analysis of our same sample of 366 Latin American cities has shown that larger cities of Latin America have higher levels of air pollution, as measured by PM2.5 levels ( 53 ). Larger cities of both regions may also have higher health care capacity ( 54 58 ), although a recent study in Latin American cities showed that deaths due to conditions for which the health care system should prevent cases are more frequent in larger cities, while deaths due to chronic conditions requiring substantial care are lower in larger cities ( 38 ).…”
Section: Discussionmentioning
confidence: 99%
“…Various environmental and policy features linked to the prevalence of these risks factors [including factors such as air pollution, access to healthier and processed foods, walkability, and green spaces ( 50 , 51 )] may be strongly linked to city size in the United States and not so strongly linked to city size in Latin America, as has been observed in a comparison of U.S. and Indian and Chinese cities, which show very different scaling patterns for air pollution ( 52 ). However, an analysis of our same sample of 366 Latin American cities has shown that larger cities of Latin America have higher levels of air pollution, as measured by PM2.5 levels ( 53 ). Larger cities of both regions may also have higher health care capacity ( 54 58 ), although a recent study in Latin American cities showed that deaths due to conditions for which the health care system should prevent cases are more frequent in larger cities, while deaths due to chronic conditions requiring substantial care are lower in larger cities ( 38 ).…”
Section: Discussionmentioning
confidence: 99%
“…Studies conducted in Latin America, the US and China assessing the relationship between air pollution and urban landscape metrics showed that higher fragmentation, higher population density [ 45 ], edge density [ 71 ] and higher intersection density [ 16 ] were associated with an increase in the number of days exceeding the air quality index for PM2.5. The findings of our study are partially, consistent with these results, but expand on the importance of the interaction among the number of patches, patch size and isolation, and the street design profiles.…”
Section: Discussionmentioning
confidence: 99%
“…Our study also indicated that profiles with moderate to high street connectivity and moderate street directness ( semi-hyperbolic grid and spiderweb profiles) were associated with high air pollution. Together, moderate directness of streets and high street connectivity could represent proxy indicators for walkability that are also related with lower speed and increased stop and go traffic, which in turn increases the levels of PM2.5 [ 16 ]. These results could be useful for the 12 Latin American cities in the C40 initiative for healthier and sustainable cities which belong to the spiderweb profile characterized by higher street connectivity, shorter streets and moderate directness [ 72 ].…”
Section: Discussionmentioning
confidence: 99%
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