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dc.rights.licenseopenen_US
dc.contributor.authorSALIM, S.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDIALLO, Abdourahmane Gayo
ORCID: 0000-0002-9799-9484
IDREF: 112800084
dc.contributor.authorMORITA, P.
dc.date.accessioned2024-05-17T08:07:37Z
dc.date.available2024-05-17T08:07:37Z
dc.date.issued2023-10-01
dc.date.conference2023-11-08
dc.identifier.issn1101-1262en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/199915
dc.description.abstractEnBackground Air pollution is a major public health threat and has been linked to various adverse health effects including respiratory and cardiovascular diseases. Fine particulate matter (PM2.5) and coarse particulate matter (PM10) are two major components of air pollution that are significant contributors to these health outcomes. With the advent of low-cost sensors, accurate measurement of exposure has become possible, allowing for better assessment of the impact of air pollution exposure on human health. Methods To investigate the association between air pollution exposure and illnesses resulting in hospital visits, IoT sensors were deployed in Ulaanbaatar, Mongolia, to measure PM2.5 and PM10 levels from 2018-2021. Health data was obtained from the Mongolian National Center for Public Health. Multivariable logistic regression models were used to estimate overall odds ratios for the associations between daily PM2.5 and PM10 exposure and the occurrence of illnesses, adjusting for age and sex. Results The unadjusted odds ratio for the association between PM10 exposure and acute respiratory illnesses was 1.3, while the unadjusted odds ratio for PM2.5 exposure was 1.2; decreasing to 1.2 and 1.1 respectively after adjusting for age and sex (p < 0.05). These findings are consistent with previous studies and highlight the significant impact of air pollution on the occurrence of acute respiratory illnesses. The use of IoT sensors allowed for accurate assessment of air pollution exposure in the study population. Conclusions This study provides further evidence of the detrimental effects of air pollution on human health, particularly on the occurrence of acute respiratory illnesses. These findings highlight the importance of continued efforts to reduce air pollution levels. Accurate measurement of exposure rates using IoT sensors can aid in identifying and addressing sources of air pollution to improve the quality of life for individuals and communities affected by this health threat.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.title.enLow-cost IoT sensors reveal adverse health outcomes associated with air pollution exposure
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1093/eurpub/ckad160.1187en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.volume33en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issueSupll. 2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.conference.title16th European Public Health Conference 2023 Our Food, Our Health, Our Earth: A Sustainable Future for Humanity Dublinen_US
bordeaux.countryieen_US
bordeaux.title.proceedingEuropean Journal of Public Healthen_US
bordeaux.teamAHEAD_BPHen_US
bordeaux.conference.cityDublinen_US
hal.identifierhal-04383073
hal.version1
hal.date.transferred2024-05-28T14:22:13Z
hal.proceedingsouien_US
hal.conference.end2023-11-11
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.date=2023-10-01&amp;rft.volume=33&amp;rft.issue=Supll.%202&amp;rft.eissn=1101-1262&amp;rft.issn=1101-1262&amp;rft.au=SALIM,%20S.&amp;DIALLO,%20Abdourahmane%20Gayo&amp;MORITA,%20P.&amp;rft.genre=unknown


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