Exposure to Perfluoroalkyl Substances and Mortality for COVID-19: A Spatial Ecological Analysis in the Veneto Region (Italy)
Open accessAbstract
BACKGROUND: In the context of the COVID-19 pandemic, there is interest in assessing if per- and polyfluoroalkyl substances (PFAS) exposures are associated with any increased risk of COVID-19 or its severity, given the evidence of immunosuppression by some PFAS. The objective of this paper is to evaluate at the ecological level if a large area (Red Zone) of the Veneto Region, where residents were exposed for decades to drinking water contaminated by PFAS, showed higher mortality for COVID-19 than the rest of the region. METHODS: We fitted a Bayesian ecological regression model with spatially and not spatially structured random components on COVID-19 mortality at the municipality level (period between 21 February and 15 April 2020). The model included education score, background all-cause mortality (for the years 2015-2019), and an indicator for the Red Zone. The two random components are intended to adjust for potential hidden confounders. RESULTS: The COVID-19 crude mortality rate ratio for the Red Zone was 1.55 (90% Confidence Interval 1.25; 1.92). From the Bayesian ecological regression model adjusted for education level and baseline all-cause mortality, the rate ratio for the Red Zone was 1.60 (90% Credibility Interval 0.94; 2.51). CONCLUSION: In conclusion, we observed a higher mortality risk for COVID-19 in a population heavily exposed to PFAS, which was possibly explained by PFAS immunosuppression, bioaccumulation in lung tissue, or pre-existing disease being related to PFAS.
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PFAS exposure may leave the brain vulnerable to the deleterious impacts of infections, such as COVID-19, through attenuation of the adaptive immune system.
“PFAS exposure may also leave the brain vulnerable to the deleterious impacts of infections, such as COVID-19 (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2), through attenuation of the adaptive immune system”
From A Critical Review and Meta-Analysis of Impacts of Per- and Polyfluorinated Substances on the Brain and Behavior (2022) · cites this paper as Catelan et al., 2021
The Introduction describes evidence that some PFAS impair antibody responses and proposes that PFAS immunotoxicity could worsen COVID-19. The Conclusions likewise offer immunosuppression as a possible explanation for higher COVID-19 mortality in a heavily exposed population. Neither passage addresses brain vulnerability or neurological impacts of infection. (LLM, conf=0.88)
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Cites
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254 · see citing works
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
Lunn, D. J., Thomas, A., Best, N., & Spiegelhalter, D. J. (2000) · Statistics and Computing · doi:10.1023/a:1008929526011 · Cited by 5,372 · see citing works
Bayesian image restoration, with two applications in spatial statistics
Besag, J. E., York, J. C., & Molli�, A. (1991) · Annals of the Institute of Statistical Mathematics · doi:10.1007/bf00116466 · Cited by 4,218 · see citing works
An overview of the uses of per- and polyfluoroalkyl substances (PFAS)
Glüge, J., Scheringer, M., Cousins, I. T., DeWitt, J. C., Goldenman, G., Herzke, D., Lohmann, R., Ng, C. A., Trier, X., & Wang, Z. (2020) · Environmental Science: Processes & Impacts · doi:10.1039/d0em00291g · Cited by 2,466 · see citing works
Makowski, D., Ben-Shachar, M., & Lüdecke, D. (2019) · Journal of Open Source Software · doi:10.21105/joss.01541 · Cited by 1,483 · see citing works
Univariate Discrete Distributions
Johnson, N. L., Kemp, A. W., & Kotz, S. (2005) · Wiley series in probability and statistics · doi:10.1002/0471715816 · Cited by 1,319 · see citing works
Indices of Effect Existence and Significance in the Bayesian Framework
Makowski, D., Ben-Shachar, M. S., Chen, S. H. A., & Lüdecke, D. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02767 · Cited by 983 · see citing works
Half-Lives of PFOS, PFHxS and PFOA after End of Exposure to Contaminated Drinking Water
Li, Y., Fletcher, T., Mucs, D., Scott, K., Lindh, C. H., Tallving, P., & Jakobsson, K. (2018) · Occupational and Environmental Medicine · doi:10.1136/oemed-2017-104651 · Cited by 815 · see citing works
Accumulation of perfluoroalkyl substances in human tissues
Pérez, F., Nadal, M., Navarro-Ortega, A., Fàbrega, F., Domingo, J. L., Barceló, D., & Farré, M. (2013) · Environment International · doi:10.1016/j.envint.2013.06.004 · Cited by 730 · see citing works
(CONTAM), E. P. O. C. I. T. F. C., Knutsen, H. K., Alexander, J., Barregård, L., Bignami, M., Brüschweiler, B. J., Ceccatelli, S., Cottrill, B., Dinovi, M., Edler, L., et al. (2018) · EFSA Journal · doi:10.2903/j.efsa.2018.5194 · Cited by 519 · see citing works
Immune response in COVID-19: A review
Chowdhury, M. A., Hossain, N., Kashem, M. A., Shahid, M. A., & Alam, A. (2020) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.07.001 · Cited by 462 · see citing works
Steenland, K., Tinker, S., Frisbee, S. J., DUCATMAN, A. M., & Vaccarino, V. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp279 · Cited by 374 · see citing works
Spatial Correlation in Ecological Analysis
Clayton, D. G., Bernardinelli, L., & Montomoli, C. (1993) · International Journal of Epidemiology · doi:10.1093/ije/22.6.1193 · Cited by 313 · see citing works
DeWitt, J. C., Blossom, S. J., & Schaider, L. A. (2019) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-018-0097-y · Cited by 241 · see citing works
Abraham, K., Mielke, H., Fromme, H., Völkel, W., Menzel, J., Peiser, M., Zepp, F., Willich, S. N., & Weikert, C. (2020) · Archives of Toxicology · doi:10.1007/s00204-020-02715-4 · Cited by 209 · see citing works
Pitter, G., Re, F. D., Canova, C., Barbieri, G., Jeddi, M. Z., Daprà, F., Manea, F., Zolin, R., Bettega, A. M., Stopazzolo, G., et al. (2020) · Environmental Health Perspectives · doi:10.1289/ehp5337 · Cited by 204 · see citing works
Chang, E. T., Adami, H., Boffetta, P., Wedner, H. J., & Mandel, J. S. (2016) · Critical Reviews in Toxicology · doi:10.3109/10408444.2015.1122573 · Cited by 174 · see citing works
Influenza Vaccine Response in Adults Exposed to Perfluorooctanoate and Perfluorooctanesulfonate
Looker, C., Luster, M. I., Calafat, A. M., Johnson, V. J., Burleson, G. R., BURLESON, F. G., & Fletcher, T. (2013) · Toxicological Sciences · doi:10.1093/toxsci/kft269 · Cited by 158 · see citing works
Difficulties with Regression Analyses of Age-Adjusted Rates
Rosenbaum, P. R., & Rubin, D. B. (1984) · Biometrics · doi:10.2307/2531396 · Cited by 154 · see citing works
Bayesian Models for Spatially Correlated Disease and Exposure Data
Best, N. G., Arnold, R., Thomas, A., Waller, L. A., & Conlon, E. M. (1999) · doi:10.1093/oso/9780198504856.003.0006 · Cited by 136 · see citing works
Severity of COVID-19 at elevated exposure to perfluorinated alkylates
Grandjean, P., Timmermann, C. A. G., Kruse, M., Nielsen, F., Vinholt, P. J., Boding, L., Heilmann, C., & Mølbak, K. (2020) · PLOS ONE · doi:10.1371/journal.pone.0244815 · Cited by 131 · see citing works
Ingelido, A. M., Abballe, A., Gemma, S., Dellatte, E., Iacovella, N., Angelis, G. D., Zampaglioni, F., Marra, V., Miniero, R., Valentini, S., et al. (2017) · Environment International · doi:10.1016/j.envint.2017.10.026 · Cited by 127 · see citing works
Kvalem, H. E., Nygaard, U. C., Lødrup Carlsen, K. C., Carlsen, K. H., Haug, L. S., & Granum, B. (2020) · Environment International · doi:10.1016/j.envint.2019.105259 · Cited by 123 · see citing works
Canova, C., Barbieri, G., Jeddi, M. Z., Gion, M., Fabricio, A. S. C., Daprà, F., Russo, F., Fletcher, T., & Pitter, G. (2020) · Environment International · doi:10.1016/j.envint.2020.106117 · Cited by 97 · see citing works
Drinking water pollutants may affect the immune system: concerns regarding COVID-19 health effects
Quinete, N., & Hauser‐Davis, R. A. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-11487-4 · Cited by 76 · see citing works
[Update and review of the 2011 Italian deprivation index calculated at the census section level].
Rosano, A., Pacelli, B., Zengarini, N., Costa, G., Cislaghi, C., & Caranci, N. (2020) · PubMed · doi:10.19191/ep20.2-3.p162.039 · Cited by 71 · see citing works
Ecologic association between influenza and COVID-19 mortality rates in European countries
Petti, S., & Cowling, B. J. (2020) · Epidemiology and Infection · doi:10.1017/s0950268820002125 · Cited by 14 · see citing works
Joint Analysis of Short and Long-Term Effects of Air Pollution
Biggeri, A., Catelan, D., Stoppa, G., & Lagazio, C. (2020) · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [33]Morgenstern H. Ecologic Studies Modern Epidemiology 3rd ed. Lippincott New York, NY, USA 2008
Cited by
Sorted by citations
Zhang, C., Yan, K., Fu, C., Peng, H., Hawker, C. J., & Whittaker, A. K. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00632 · Cited by 493 · see citing works
Starnes, H. M., Rock, K. D., Jackson, T. W., & Belcher, S. M. (2022) · Frontiers in Toxicology · doi:10.3389/ftox.2022.881584 · Cited by 166 · see citing works
Singh, K., Kumar, N., Yadav, A. K., Singh, R. D., & Kumar, K. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.145064 · Cited by 131 · see citing works
Karbassiyazdi, E., Fattahi, F., Yousefi, N., Tahmassebi, A., Taromi, A. A., Zyaie, J., Gandomi, A. H., Altaee, A., & Razmjou, A. (2022) · Environmental Research · doi:10.1016/j.envres.2022.114286 · Cited by 108 · see citing works
Eze, C. G., Okeke, E., Nwankwo, C., Nyaruaba, R., Anand, U., Okoro, O. J., & Bontempi, E. (2024) · Toxicology Reports · doi:10.1016/j.toxrep.2024.03.012 · Cited by 52 · see citing works
Lerch, M., Fengler, R., Mbog, G.-R., Nguyen, K. H., & Granby, K. (2022) · Food Packaging and Shelf Life · doi:10.1016/j.fpsl.2022.100992 · Cited by 59 · see citing works
Perfluorobutanoic acid (PFBA): No high-level accumulation in human lung and kidney tissue
Abraham, K., El‐Khatib, A. H., Schwerdtle, T., & Monien, B. H. (2021) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2021.113830 · Cited by 44 · see citing works
Impact of PFAS exposure on prevalence of immune-mediated diseases in adults in the Czech Republic
Rudzanová, B., Vlaanderen, J. J., Kalina, J., Piler, P., Zvonař, M., Klánová, J., Bláha, L., & Adamovský, O. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115969 · Cited by 40 · see citing works
Porter, A. K., Kleinschmidt, S. E., Andres, K. L., Reusch, C. N., Krisko, R. M., Taiwo, O. A., Olsen, G. W., & Longnecker, M. P. (2022) · Environment International · doi:10.1016/j.envint.2022.107537 · Cited by 37 · see citing works
Bailey, J. M., Wang, L., McDonald, J. M., Gray, J. S., Petrie, J. G., Martin, E. T., Savitz, D. A., Karrer, T. A., Fisher, K. A., Geiger, M. J., et al. (2023) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-023-00564-8 · Cited by 34 · see citing works
Meng, L., Zhou, B., Liu, H., Chen, Y., Yuan, R., Chen, Z., Luo, S., & Chen, H. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.174201 · Cited by 34 · see citing works
Clerbaux, L., Albertini, M. C., Amigó, N., Beronius, A., Bezemer, G. F. G., Coecke, S., Daskalopoulos, E. P., del Giudice, G., Greco, D., Grenga, L., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11154464 · Cited by 28 · see citing works
Ly, C. Y. S., Alrazihi, L. A., Wong, S. T., & Wong, S. F. (2025) · Environmental Toxicology and Chemistry · doi:10.1093/etojnl/vgaf172 · Cited by 27 · see citing works
Kaur, K., Lesseur, C., Chen, L., Andra, S. S., Narasimhan, S., Pulivarthi, D., Midya, V., Ma, Y., Ibroçi, E., Gigase, F. A. J., et al. (2022) · Environmental Research · doi:10.1016/j.envres.2022.115067 · Cited by 22 · see citing works
Environmental stressors and zoonoses in the Arctic: Learning from the past to prepare for the future
Andersen-Ranberg, E., Nymo, I. H., Jokelainen, P., Emelyanova, A., Jore, S., Laird, B. D., Davidson, R. K., Ostertag, S., Bouchard, É., Fagerholm, F., et al. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.176869 · Cited by 24 · see citing works
Nielsen, C., & Jöud, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182010702 · Cited by 21 · see citing works
Andersson, A. G., Lundgren, A., Xu, Y., Nielsen, C., Lindh, C. H., Pineda, D., Cederlund, J., Pataridou, E., Tøttenborg, S. S., Petersen, K. U., et al. (2023) · Environmental Health Perspectives · doi:10.1289/ehp11847 · Cited by 19 · see citing works
Hollister, J., Caban-Martinez, A. J., Ellingson, K., Beitel, S. C., Fowlkes, A. L., Lutrick, K., Tyner, H. L., Naleway, A. L., Yoon, S. K., Gaglani, M., et al. (2023) · Environmental Research · doi:10.1016/j.envres.2023.117297 · Cited by 19 · see citing works
Decoding PFAS immunotoxicity: a NAMs-based comparison of short vs. long chains
Iulini, M., Galbiati, V., Marinovich, M., & Corsini, E. (2025) · Frontiers in Toxicology · doi:10.3389/ftox.2025.1665163 · Cited by 18 · see citing works
Yang, Z., Roth, K., Ding, J., Kassotis, C. D., Mor, G., & Petriello, M. C. (2022) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2022.116284 · Cited by 15 · see citing works
In vitro cytotoxicity of six per- and polyfluoroalkyl substances (PFAS) in human immune cell lines
McCall, J. R., Sausman, K. T., Brown, A. P., & Mead, R. N. (2024) · Toxicology in Vitro · doi:10.1016/j.tiv.2024.105910 · Cited by 15 · see citing works
The AI-assisted removal and sensor-based detection of contaminants in the aquatic environment
Modak, S., Mokarizadeh, H., Karbassiyazdi, E., Hosseinzadeh, A., & Esfahani, M. R. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90508-4.00005-8 · Cited by 15 · see citing works
Research Progress of Perfluoroalkyl Substances in Edible Oil—A Review
Han, Y., & Cao, X. (2023) · Foods · doi:10.3390/foods12132624 · Cited by 11 · see citing works
Epigenetics at the Intersection of COVID-19 Risk and Environmental Chemical Exposures
Bulka, C. M., Enggasser, A. E., & Fry, R. C. (2022) · Current Environmental Health Reports · doi:10.1007/s40572-022-00353-9 · Cited by 10 · see citing works
Kasten‐Jolly, J., & Lawrence, D. A. (2022) · Journal of Toxicology and Environmental Health · doi:10.1080/15287394.2022.2075816 · Cited by 10 · see citing works
Fujii, Y., Shibata, Y., Tokuda, Y., Ito, Y., Kudo, N., & Harada, K. H. (2025) · Chemosphere · doi:10.1016/j.chemosphere.2025.144508 · Cited by 8 · see citing works
Pumarega, J. A., Gasull, M., Koponen, J. M., Campi, L., Rantakokko, P., Henríquez‐Hernández, L. A., Aguilar, R., Donat‐Vargas, C., Zumbado, M. L., Villar-García, J., et al. (2023) · Environmental Research · doi:10.1016/j.envres.2023.116965 · Cited by 7 · see citing works
Liddie, J. M., Bind, M., Karra, M., & Sunderland, E. M. (2024) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-024-00723-5 · Cited by 6 · see citing works
Ayuk, H. S., Pierzchalski, A., Tal, T. L., Myhre, O., Lindeman, B., Smith, N. M., Stojanovska, V., & Zenclussen, A. C. (2025) · Environment International · doi:10.1016/j.envint.2025.109409 · Cited by 5 · see citing works
Mallek, M., & Barceló, . (2025) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-025-06264-6 · Cited by 6 · see citing works
Pintus, F. J. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.121143 · Cited by 5 · see citing works
Baumert, B. O., Wang, H., Samy, S., Park, S. K., Lam, C. N., Dunn, K., Pinto‐Pacheco, B., Walker, D. I., Landero, J., Conti, D. V., et al. (2024) · Environmental Research · doi:10.1016/j.envres.2024.119072 · Cited by 4 · see citing works
Guan, H., Chen, J., Kaur, K., Amreen, B., Lesseur, C., Dolios, G., Andra, S. S., Narasimhan, S., Pulivarthi, D., Midya, V., et al. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2025.179520 · Cited by 4 · see citing works
Influence of Perfluoroalkyl Substances on Occurrence of Coronavirus Disease 2019
Dembek, Z. F., & Lordo, R. A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095375 · Cited by 4 · see citing works
Menegatto, M., & Zamperini, A. (2024) · Social Sciences · doi:10.3390/socsci13100509 · Cited by 4 · see citing works
The Effects of Hospitalisation on the Serum Metabolome in COVID-19 Patients
Hensen, T., Fässler, D., O’Mahony, L., Albrich, W. C., Barda, B., Garzoni, C., Kleger, G., Pietsch, U., Suh, N., Hertel, J., et al. (2023) · Metabolites · doi:10.3390/metabo13080951 · Cited by 3 · see citing works
Porter, A. K., Kleinschmidt, S. E., Andres, K. L., Reusch, C. N., Krisko, R. M., Taiwo, O. A., Olsen, G. W., & Longnecker, M. P. (2024) · Global Epidemiology · doi:10.1016/j.gloepi.2024.100137 · Cited by 3 · see citing works
Tao, W., & Chen, L. (2025) · Toxicology Letters · doi:10.1016/j.toxlet.2025.01.008 · Cited by 3 · see citing works
Merlin, A., & Sottani, A. (2022) · Acque Sotterranee-Italian Journal of Groundwater · doi:10.7343/as-2022-591 · Cited by 1 · see citing works
Carraro, S., Nisio, A. D., Piazza, M., Gualtiero, G., Cennamo, M., Altinier, S., Cinetto, F., Rattazzi, M., Ceccato, J., Vianello, F., et al. (2026) · Environment International · doi:10.1016/j.envint.2026.110357 · Cited by 1 · see citing works
Zamfir, M., Lahne, H., Fingerle, V., Gerstner, D. G., Redwitz, J., Völkel, W., Schöber, W., Aschenbrenner, B., Röhl, C., Herr, C., et al. (2026) · Environments · doi:10.3390/environments13020084 · Cited by 1 · see citing works
Engin, A. B., & Neagu, M. T. (2021) · Current Opinion in Toxicology · doi:10.1016/j.cotox.2021.11.002
Zhang, Y., Hua, J., & Chen, L. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1393432
Ayuk, H. S., Pierzchalski, A., Tal, T. L., Myhre, O., Lindeman, B., Smith, N. M., Stojanovska, V., & Zenclussen, A. C. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5021028
Effect Of Perinatal Perfluorinated Compounds (PFASs) Exposure On Behavior Of SD RatsPreprint
Sun, Y., Chai, D., Lu, J., Yao, Y., Cai, Q., Peng, M., & Wu, L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.16.643539
PFOA induced metabolic and immune perturbations in a SARS-2 infection modelPreprint
Lanier, D., Rowe, D. K., Uchimiya, M., Jones, C. A., Johnson, S. K., Sakamoto, K., Chappel, J. R., Fry, A. N., Leach, F. E., DeWitt, J. C., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.21.707085 · Cited by 1 · see citing works
Zamfir, M., Gerstner, D. G., Lahne, H., Fingerle, V., Redwitz, J., Schöber, W., Aschenbrenner, B., Graw, M., Nowak, D., Quartucci, C., et al. (2026) · Toxics · doi:10.3390/toxics14030192
- Authors
- Catelan, D., Biggeri, A., Russo, F., Gregori, D., Pitter, G., Da Re, F., Fletcher, T., & Canova, C.
- Affiliations
- University of Florence (IT)
- Regione del Veneto (IT)
- Unit of Biostatistics, Epidemiology and Public Health, Department of Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35131 Padova, Italy
- Regional Directorate of Prevention, Food Safety, Veterinary Public Health, Regione del Veneto, 30123 Venice, Italy
- London School of Hygiene & Tropical Medicine (GB)
- University of Padua (IT)
- Corresponding author
- Canova, Cristina
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2021-03-08
- Volume
- 18
- Issue
- 5
- Pages
- 2734
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC7967461
- OpenAlex
- W3133988412
- Cited by
- 47
- References
- 28
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 12 · 2023: 8 · 2022: 12 · 2021: 4
- FWCI
- 3.41
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Florence Research (University of Florence) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Physical Sciences › Environmental Science › Water Science and Technology › Fluoride Effects and Removal
- Keywords
- per- and polyfluoroalkyl substances, PFAS exposure, COVID-19 mortality, drinking water contamination, immunosuppression, Veneto, red zone, all-cause mortality, educational attainment
- MeSH terms
- COVID-19, SARS-CoV-2, Bayes Theorem, Cities, Fluorocarbons, Humans, Italy, Alkanesulfonic Acids, Pandemics
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