@article{b126e3c1a8d54d138b88fd08a25b1adb,
title = "Lowering Air Pollution Levels in Massachusetts May Prevent Cardiovascular Hospital Admissions",
author = "Maayan Yitshak-Sade and Rachel Nethery and \{Abu Awad\}, Yara and Fabrizia Mealli and Francesca Dominici and Itai Kloog and Antonella Zanobetti",
note = "Funding Information: Please note: This study was supported by the Harvard Data Science Initiative, the National Institute of Health (NIH) (grant number ES024332-01), the National Institute of Environmental Health Sciences (NIEHS) (grant number P30 ES000002), the United States Environmental Protection Agency (USEPA) (grant numbers RD83615601 and RD83587201), and the Health Effects Institute (HEI) (grant number 4953-RFA14-3/16-4). The contents are solely the responsibility of the grantee and do not necessarily represent the official views of the USEPA. Dr. Dominici has served as an expert consultant for Johnson and Johnson and Colgate. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. Funding Information: Please note: This study was supported by the Harvard Data Science Initiative, the National Institute of Health (NIH) (grant number ES024332-01), the National Institute of Environmental Health Sciences (NIEHS) (grant number P30 ES000002), the United States Environmental Protection Agency (USEPA) (grant numbers RD83615601 and RD83587201), and the Health Effects Institute (HEI) (grant number 4953-RFA14-3/16-4). The contents are solely the responsibility of the grantee and do not necessarily represent the official views of the USEPA. Dr. Dominici has served as an expert consultant for Johnson and Johnson and Colgate. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. ",
year = "2020",
month = may,
day = "26",
doi = "10.1016/j.jacc.2020.03.056",
language = "English",
volume = "75",
pages = "2642--2644",
journal = "Journal of the American College of Cardiology",
issn = "0735-1097",
publisher = "Elsevier Inc.",
number = "20",
}