County-level associations between drinking water PFAS contamination and COVID-19 mortality in the United States

被引:0
作者
Liddie, Jahred M. [1 ]
Bind, Marie-Abele [2 ,3 ]
Karra, Mahesh [4 ]
Sunderland, Elsie M. [1 ,5 ]
机构
[1] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA 02115 USA
[2] Massachusetts Gen Hosp, Biostat Ctr, Boston, MA USA
[3] Harvard Med Sch, Dept Med, Boston, MA USA
[4] Boston Univ, Frederick S Pardee Sch Global Studies, Boston, MA USA
[5] Harvard Univ, Harvard John A Paulson Sch Engn & Appl Sci, Cambridge, MA USA
基金
美国国家卫生研究院;
关键词
water quality; COVID-19; mortality; PFAS; drinking water; INFERENCE;
D O I
10.1038/s41370-024-00723-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BackgroundEpidemiologic and animal studies both support relationships between exposures to per- and polyfluoroalkyl substances (PFAS) and harmful effects on the immune system. Accordingly, PFAS have been identified as potential environmental risk factors for adverse COVID-19 outcomes.ObjectiveHere, we examine associations between PFAS contamination of U.S. community water systems (CWS) and county-level COVID-19 mortality records. Our analyses leverage two datasets: one at the subnational scale (5371 CWS serving 621 counties) and one at the national scale (4798 CWS serving 1677 counties). The subnational monitoring dataset was obtained from statewide drinking monitoring of PFAS (2016-2020) and the national monitoring dataset was obtained from a survey of unregulated contaminants (2013-2015).MethodsWe conducted parallel analyses using multilevel quasi-Poisson regressions to estimate cumulative incidence ratios for the association between county-level measures of PFAS drinking water contamination and COVID-19 mortality prior to vaccination onset (Jan-Dec 2020). In the primary analyses, these regressions were adjusted for several county-level sociodemographic factors, days after the first reported case in the county, and total hospital beds.ResultsIn the subnational analysis, detection of at least one PFAS over 5 ng/L was associated with 12% higher [95% CI: 4%, 19%] COVID-19 mortality. In the national analysis, detection of at least one PFAS above the reporting limits (20-90 ng/L) was associated with 13% higher [95% CI: 8%, 19%] COVID-19 mortality.Impact StatementOur findings provide evidence for an association between area-level drinking water PFAS contamination and higher COVID-19 mortality in the United States. These findings reinforce the importance of ongoing state and federal monitoring efforts supporting the U.S. Environmental Protection Agency's 2024 drinking water regulations for PFAS. More broadly, this example suggests that drinking water quality could play a role in infectious disease severity. Future research would benefit from study designs that combine area-level exposure measures with individual-level outcome data.
引用
收藏
页码:478 / 485
页数:8
相关论文
共 57 条
  • [21] Serum Vaccine Antibody Concentrations in Children Exposed to Perfluorinated Compounds
    Grandjean, Philippe
    Andersen, Elisabeth Wreford
    Budtz-Jorgensen, Esben
    Nielsen, Flemming
    Molbak, Kare
    Weihe, Pal
    Heilmann, Carsten
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2012, 307 (04): : 391 - 397
  • [22] Effect of perfluorooctane sulfonate (PFOS) on influenza A virus-induced mortality in female B6C3F1 mice
    Guruge, Keerthi S.
    Hikono, Hirokazu
    Shimada, Nobuaki
    Murakami, Kenji
    Hasegawa, Jun
    Yeung, Leo W. Y.
    Yamanaka, Noriko
    Yamashita, Nobuyoshi
    [J]. JOURNAL OF TOXICOLOGICAL SCIENCES, 2009, 34 (06) : 687 - 691
  • [23] The emerging role of ACE2 in physiology and disease
    Hamming, I.
    Cooper, M. E.
    Haagmans, B. L.
    Hooper, N. M.
    Korstanje, R.
    Osterhaus, A. D. M. E.
    Timens, W.
    Turner, A. J.
    Navis, G.
    van Goor, H.
    [J]. JOURNAL OF PATHOLOGY, 2007, 212 (01) : 1 - 11
  • [24] Serum per- and polyfluoroalkyl substance concentrations and longitudinal change in post-infection and post-vaccination SARS-CoV-2 antibodies
    Hollister, James
    Caban-Martinez, Alberto J.
    Ellingson, Katherine D.
    Beitel, Shawn
    Fowlkes, Ashley L.
    Lutrick, Karen
    Tyner, Harmony L.
    Naleway, Allison L.
    Yoon, Sarang K.
    Gaglani, Manjusha
    Hunt, Danielle
    Meece, Jennifer
    Lamberte, Julie Mayo
    Solle, Natasha Schaefer
    Rose, Spencer
    Dunnigan, Kayan
    Khan, Sana M.
    Kuntz, Jennifer L.
    Fisher, Julia M.
    Coleman, Alissa
    Britton, Amadea
    Thiese, Matthew S.
    Hegmann, Kurt T.
    Pavuk, Marian
    Ramadan, Ferris A.
    Fuller, Sammantha
    Nematollahi, Amy
    Sprissler, Ryan
    Burgess, Jefferey L.
    [J]. ENVIRONMENTAL RESEARCH, 2023, 239
  • [25] Three Criteria for Ecological Fallacy
    Idrovo, Alvaro J.
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2011, 119 (08) : A332 - A332
  • [26] Imbens GW, 2015, CAUSAL INFERENCE FOR STATISTICS, SOCIAL, AND BIOMEDICAL SCIENCES: AN INTRODUCTION, P1, DOI 10.1017/CBO9781139025751
  • [27] Improving ecological inference using individual-level data
    Jackson, C
    Best, N
    Richardson, S
    [J]. STATISTICS IN MEDICINE, 2006, 25 (12) : 2136 - 2159
  • [28] Association between urinary per- and poly-fluoroalkyl substances and COVID-19 susceptibility
    Ji, Junjun
    Song, Lingyan
    Wang, Jing
    Yang, Zhiyun
    Yan, Haotian
    Li, Ting
    Yu, Li
    Jian, Lingyu
    Jiang, Feixiang
    Li, Junfeng
    Zheng, Jinping
    Li, Kefeng
    [J]. ENVIRONMENT INTERNATIONAL, 2021, 153
  • [29] Joint Subcommittee on Environment Innovation and Public Health Perand Polyfluoroalkyl Substances Strategy Team National Science and Technology Council, 2023, Perand Polyfluoroalkyl Substances Report Internet
  • [30] Cross-sectional associations of maternal PFAS exposure on SARS-CoV-2 IgG antibody levels during pregnancy
    Kaur, Kirtan
    Lesseur, Corina
    Chen, Lixian
    Andra, Syam S.
    Narasimhan, Srinivasan
    Pulivarthi, Divya
    Midya, Vishal
    Ma, Yula
    Ibroci, Erona
    Gigase, Frederieke
    Lieber, Molly
    Lieb, Whitney
    Janevic, Teresa
    De Witte, Lotje D.
    Bergink, Veerle
    Rommel, Anna-Sophie
    Chen, Jia
    [J]. ENVIRONMENTAL RESEARCH, 2023, 219