The potential impact of PM2.5 on the covid-19 crisis in the Brazilian Amazon region
DOI:
https://doi.org/10.11606/s1518-8787.2023057005134Palavras-chave:
COVID-19, Brazilian Amazon, Wildfires, Fine Particulate MatterResumo
OBJECTIVE: This study aims to assess covid-19 morbidity, mortality, and severity from 2020 to 2021 in five Brazilian Amazon states with the highest records of wildfires. METHODS: A distributed lag non-linear model was applied to estimate the potential exposure risk association with particulate matter smaller than 2.5-μm in diameter (PM2.5). Daily mean temperature, relative humidity, percentual of community mobility, number of hospital beds, days of the week, and holidays were considered in the final models for controlling the confounding factors. RESULTS: The states of Para, Mato Grosso, and Amazonas have reported the highest values of overall cases, deaths, and severe cases of covid-19. The worrying growth in the percentual rates in 2020/2021 for the incidence, severity, and mortality were highlighted in Rondônia and Mato Grosso. The growth in 2020/2021 in the estimations of PM2.5 concentrations was higher in Mato Grosso, with an increase of 24.4%, followed by Rondônia (14.9%). CONCLUSION: This study establishes an association between wildfire-generated PM2.5 and increasing covid-19 incidence, mortality, and severity within the studied area. The findings showed that the risk of covid-19 morbidity and mortality is nearly two times higher among individuals exposed to high concentrations of PM2.5. The attributable fraction to PM2.5 in the studied area represents an important role in the risk associated with covid-19 in the Brazilian Amazon region.
Referências
Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real-time. Lancet Infect Dis. 2020 May. 20(5):533-4. https://doi.org/10.1016/S1473-3099(20)30120-1
Knaul FM, Touchton M, Arreola-Ornelas H, Atun R, Anyosa RJC, Frenk J, et al. Punt politics as failure of health system stewardship: evidence from the COVID-19 pandemic response in Brazil and Mexico. Lancet Reg Health - Am. 2021 Dec; 4:100086. https://doi.org/10.1016/j.lana.2021.100086
Instituto Brasileiro de Geografia e Estatistica. Projeções e estimativas da população do Brasil e das Unidades da Federação. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatistica; 2021 [cited 2021 Aug 1]. Available from: https://www.ibge.gov.br/apps/populacao/projecao/index.html
Sabino EC, Buss LF, Carvalho MPS, Prete CA, Crispim MAE, Fraiji NA, et al. Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence. Lancet. 2021 Feb;397(10273):452-5. https://doi.org/10.1016/S0140-6736(21)00183-5
Copat C, Cristaldi A, Fiore M, Grasso A, Zuccarello P, Signorelli SS, et al. The role of air pollution (PM and NO2) in COVID-19 spread and lethality: a systematic review. Environ Res. 2020 Dec;191:110129. https://doi.org/10.1016/j.envres.2020.110129
Reddington CL, Butt EW, Ridley DA, Artaxo P, Morgan WT, Coe H, et al. Air quality and human health improvements from reductions in a deforestation-related fire in Brazil. Nat Geosci. 2015;8:768-71. https://doi.org/10.1038/ngeo2535
Leite-Filho AT, Soares-Filho BS, Davis JL, Abrahão GM, Börner J. Deforestation reduces rainfall and agricultural revenues in the Brazilian Amazon. Nat Commun. 202;12:2591. https://doi.org/10.1038/s41467-021-22840-7
Artaxo P. Physical and chemical properties of aerosols in the wet and dry seasons in Rondônia, Amazonia. J Geophys Res. 2002 Sep;107(D20):8081. https://doi.org/10.1029/2001JD000666
Stanaway JD, Afshin A, Gakidou E, Lim SS, Abate D, Abate KH, et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 No ;392(10159):1923-94. https://doi.org/10.1016/S0140-6736(18)32225-6
Domingo JL, Rovira J. Effects of air pollutants on the transmission and severity of respiratory viral infections. Environ Res. 2020 Aug;187:109650. https://doi.org/10.1016/j.envres.2020.109650.
Pope CA, Bhatnagar A, McCracken JP, Abplanalp W, Conklin DJ, O’Toole T. Exposure to fine particulate air pollution is associated with endothelial injury and systemic inflammation. Circ Res. 2016 Nov;119(11):1204-14. https://doi.org/10.1161/CIRCRESAHA.116.309279
Dutheil F, Baker JS, Navel V. COVID-19 as a factor influencing air pollution? Environ Pollut. 2020 Aug;263(pt A):114466. https://doi.org/10.1016/j.envpol.2020.114466
Cole MA, Ozgen C, Strobl E. Air pollution exposure and COVID-19 in Dutch municipalities. Environ Resour Econ (Dordr). 2020 Aug;76(4):581-610. https://doi.org/10.1007/s10640-020-00491-4
Wu X, Nethery RC, Sabath MB, Braun D, Dominici F. Exposure to air pollution and COVID-19 mortality in the United States: a nationwide cross-sectional study. medRxiv. 2020 Apr. https://doi.org/10.1101/2020.04.05.20054502
Xu L, Taylor JE, Kaiser J. Short-term air pollution exposure and COVID-19 infection in the United States. Environ Pollut. 2022 Jan;292(Pt B):118369. https://doi.org/10.1016/j.envpol.2021.118369
Hoffmann M, Kleine-Weber H, Schroeder S, Krüger N, Herrler T, Erichsen S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell. 2020 aPR;181(2):271-80. https://doi.org/10.1016/j.cell.2020.02.052
Tung NT, Cheng PC, Chi KH, Hsiao TC, Jones T, BéruBé K, et al. Particulate matter and SARS-CoV-2: a possible model of COVID-19 transmission. Sci Total Environ. 2021 Jan;750:141532. https://doi.org/10.1016/j.scitotenv.2020.141532
Qu G, Li X, Hu L, Jiang G. An imperative need for research on the role of environmental factors in transmission of novel coronavirus (COVID-19). Environ Sci Technol. 2020 Apr;54(7):3730-2. https://doi.org/10.1021/acs.est.0c01102
Pöhlker C, Walter D, Paulsen H, Könemann T, Rodríguez-Caballero E, Moran-Zuloaga D, et al. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory. Atmospheric Chem Phys. 2019 Jul;19(13):8425-70. https://doi.org/10.5194/acp-19-8425-2019
Sá SS, Rizzo LV, Palm BB, Campuzano-Jost P, Day DA, Yee LD, et al. Contributions of biomass-burning, urban, and biogenic emissions to the concentrations and light-absorbing properties of particulate matter in central Amazonia during the dry season. Atmospheric Chem Phys. 2019 Jun;19(12):7973-8001. https://doi.org/10.5194/acp-19-7973-2019
Nepstad D, McGrath D, Stickler C, Alencar A, Azevedo A, Swette B, et al. Slowing Amazon deforestation through public policy and interventions in beef and soy supply chains. Science. 2014 Jun;344(6188):1118-23. https://doi.org/10.1126/science.1248525
Butt EW, Conibear L, Knote C, Spracklen DV. Large air quality and public health impacts due to Amazonian deforestation fires in 2019. GeoHealth. 2021 Jul;5(7):e2021GH000429. https://doi.org/10.1029/2021GH000429
Holben BN, Eck TF, Slutsker I, Smirnov A, Sinyuk A, Schafer J, et al. Aeronet’s Version 2.0 quality assurance criteria. In: Tsay S-C, Nakajima T, Singh RP, Sridharan R, editors. Goa, India; 2006 [cited 2021 Dec 29]. p. 64080Q. Available from: http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.706524
Remer LA, Mattoo S, Levy RC, Munchak LA. MODIS 3 km aerosol product: algorithm and global perspective. Atmospheric Meas Tech. 2013 Jul;6(7):1829-44. https://doi.org/10.5194/amt-6-1829-2013
Levy RC, Mattoo S, Munchak LA, Remer LA, Sayer AM, Patadia F, et al. The Collection 6 MODIS aerosol products over land and ocean. Atmospheric Meas Tech. 2013 Nov;6(11):2989-3034. https://doi.org/10.5194/amt-6-2989-2013
Paixão MM. Propriedades ópticas de aerossóis naturais e de queimadas da Amazônia [dissertation]. São Paulo: Instituto de Física, Universidade de Sâo Paulo,; 2011.
Gonçalves KS, Winkler MS, Benchimol-Barbosa PR, Hoogh K, Artaxo PE, Souza Hacon SS, et al. Development of non-linear models predicting daily fine particle concentrations using aerosol optical depth retrievals and ground-based measurements at a municipality in the Brazilian Amazon region. Atmos Environ. 2018 Jul;184:156-65.
https://doi.org/10.1016/j.atmosenv.2018.03.057
Gasparrini A. Distributed lag linear and non-linear models in R: The Package dlnm. J Stat Softw. 2011 Jul;43(8):1-20.
Faustini A, Davoli M. Attributable risk to assess the health impact of air pollution: advances, controversies, state of the art and future needs. Int J Environ Res Public Health. 2020 Jun;17(12):4512. https://doi.org/10.3390/ijerph17124512
RStudio Team. RStudio: integrated development for R. Boston; 2020 [cited year Month day]. Available from: http://www.rstudio.com/31. Butt EW, Conibear L, Reddington CL, Darbyshire E, Morgan WT, Coe H, et al. Large air quality
and human health impacts due to Amazon forest and vegetation fires. Environ Res Commun. 2020 Set;2(9):095001. https://doi.org/10.1088/2515-7620/abb0db
World Health Organization. WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide, and carbon monoxide [Internet]. Geneva: World Health Organization; 2021.
Kogevinas M, Gemma Castaño-Vinyals G, Marianna Karachaliou M, Espinosa A, Cid R, Garcia-Aymerich J, et al. Ambient air pollution in relation to SARS-CoV-2 Infection, antibody response, and Covid-19 disease: a cohort study in Catalonia, Spain (COVICAT Study). Environl Health Perspect. 2021 Nov;129(11):117003. https://doi.org/10.1289/EHP9726
Instituto Nacional de Pesquisas Espaciais. Portal do monitoramento de queimadas e incêndios florestais. 2021 [cited 2021 Jan 2]. Available from: https://queimadas.dgi.inpe.br/queimadas/portal
Woodby B, Arnold MM, Valacchi G. SARS-CoV-2 infection, COVID-19 pathogenesis, and exposure to air pollution: what is the connection? Ann N Y Acad Sci. 2021 Feb;1486(1):15-38. https://doi.org/10.1111/nyas.14512
World Meteorological Organization. First Report of the WMO COVID-19 Task Team. Review on meteorological and air quality factors affecting the COVID-19 pandemic. Geneva: World Meteorological Organization; 2021 [cited 2021 Oct 27]. (WMO No. 1262). Available from: https://www.preventionweb.net/publication/first-report-wmo-covid-19-task-team-reviewmeteorological-and-air-quality-factors
Silveira MV, Petri CA, Broggio IS, Chagas GO, Macul MS, Leite CC, et al. Drivers of Fire Anomalies in the Brazilian Amazon: Lessons Learned from the 2019 Fire Crisis. Land (Basel). 2020;9(12):516. https://doi.org/10.3390/land9120516
Pivello VR, Vieira I, Christianini AV, Ribeiro DB, Menezes LS, Berlinck CN, et al. Understanding Brazil’s catastrophic fires: Causes, consequences and policy needed to prevent future tragedies. Perspect Ecol Conserv. 2021 Jul-Sep;19(3):233-55.
https://doi.org/10.1016/j.pecon.2021.06.005
Reddington CL, Morgan WT, Darbyshire E, Brito J, Coe H, Artaxo P, et al. Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model. Atmospheric Chem Phys. 2019 Jul;19(14):9125-52. https://doi.org/10.5194/acp-19-9125-2019
Erfanian A, Wang G, Fomenko L. Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST. Sci Rep. 2017 Dec;7(1):5811. https://doi.org/10.1038/s41598-017-05373-2
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Copyright (c) 2023 Karen dos Santos Gonçalves, Glauber G. Cirino, Marcelo Oliveira da Costa, Lucas de Oliveira do Couto, Giovane G. Tortelote, Sandra de Souza Hacon
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