Exposure measurement error in PM2.5 health effects studies: A pooled analysis of eight personal exposure validation studies
Background Exposure measurement error is a concern in long-term PM 2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM 2.5 exposures from validation studies and typically available sur...
Saved in:
| Published in | Environmental health Vol. 13; no. 1; p. 2 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central
13.01.2014
BioMed Central Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1476-069X 1476-069X |
| DOI | 10.1186/1476-069X-13-2 |
Cover
| Abstract | Background
Exposure measurement error is a concern in long-term PM
2.5
health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM
2.5
exposures from validation studies and typically available surrogate exposures.
Methods
Daily personal and ambient PM
2.5
, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM
2.5
of ambient origin. Since PM
2.5
of ambient origin could only be determined for five cities, personal exposure to total PM
2.5
was also considered. Surrogate exposures were estimated as ambient PM
2.5
at the nearest monitor or predicted outside subjects’ homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models.
Results
When monthly-averaged personal PM
2.5
of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM
2.5
for either true exposure. Heterogeneity was significant for nearest monitor PM
2.5
, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM
2.5
.
Conclusions
Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. |
|---|---|
| AbstractList | Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM2.5 exposures from validation studies and typically available surrogate exposures.
Daily personal and ambient PM2.5, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM2.5 of ambient origin. Since PM2.5 of ambient origin could only be determined for five cities, personal exposure to total PM2.5 was also considered. Surrogate exposures were estimated as ambient PM2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models.
When monthly-averaged personal PM2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM2.5, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM2.5.
Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. Doc number: 2 Abstract Background: Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM2.5 exposures from validation studies and typically available surrogate exposures. Methods: Daily personal and ambient PM2.5 , and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM2.5 of ambient origin. Since PM2.5 of ambient origin could only be determined for five cities, personal exposure to total PM2.5 was also considered. Surrogate exposures were estimated as ambient PM2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models. Results: When monthly-averaged personal PM2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM2.5 , for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM2.5 . Conclusions: Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. BACKGROUND: Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM2.5 exposures from validation studies and typically available surrogate exposures. METHODS: Daily personal and ambient PM2.5, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM2.5 of ambient origin. Since PM2.5 of ambient origin could only be determined for five cities, personal exposure to total PM2.5 was also considered. Surrogate exposures were estimated as ambient PM2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models. RESULTS: When monthly-averaged personal PM2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM2.5, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM2.5. CONCLUSIONS: Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM2.5 exposures from validation studies and typically available surrogate exposures.BACKGROUNDExposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM2.5 exposures from validation studies and typically available surrogate exposures.Daily personal and ambient PM2.5, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM2.5 of ambient origin. Since PM2.5 of ambient origin could only be determined for five cities, personal exposure to total PM2.5 was also considered. Surrogate exposures were estimated as ambient PM2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models.METHODSDaily personal and ambient PM2.5, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM2.5 of ambient origin. Since PM2.5 of ambient origin could only be determined for five cities, personal exposure to total PM2.5 was also considered. Surrogate exposures were estimated as ambient PM2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models.When monthly-averaged personal PM2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM2.5, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM2.5.RESULTSWhen monthly-averaged personal PM2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM2.5, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM2.5.Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies.CONCLUSIONSCalibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. Background Exposure measurement error is a concern in long-term PM.sub.2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM.sub.2.5 exposures from validation studies and typically available surrogate exposures. Methods Daily personal and ambient PM.sub.2.5, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM.sub.2.5 of ambient origin. Since PM.sub.2.5 of ambient origin could only be determined for five cities, personal exposure to total PM.sub.2.5 was also considered. Surrogate exposures were estimated as ambient PM.sub.2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models. Results When monthly-averaged personal PM.sub.2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM.sub.2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM.sub.2.5, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM.sub.2.5. Conclusions Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. Keywords: Exposure measurement error, Fine particles, Fine particles of ambient origin, Monitoring data, Spatio-temporal models Background Exposure measurement error is a concern in long-term PM 2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM 2.5 exposures from validation studies and typically available surrogate exposures. Methods Daily personal and ambient PM 2.5 , and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM 2.5 of ambient origin. Since PM 2.5 of ambient origin could only be determined for five cities, personal exposure to total PM 2.5 was also considered. Surrogate exposures were estimated as ambient PM 2.5 at the nearest monitor or predicted outside subjects’ homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models. Results When monthly-averaged personal PM 2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM 2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM 2.5 , for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM 2.5 . Conclusions Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. Exposure measurement error is a concern in long-term PM.sub.2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM.sub.2.5 exposures from validation studies and typically available surrogate exposures. Daily personal and ambient PM.sub.2.5, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM.sub.2.5 of ambient origin. Since PM.sub.2.5 of ambient origin could only be determined for five cities, personal exposure to total PM.sub.2.5 was also considered. Surrogate exposures were estimated as ambient PM.sub.2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models. When monthly-averaged personal PM.sub.2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM.sub.2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM.sub.2.5, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM.sub.2.5. Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. |
| ArticleNumber | 2 |
| Audience | Academic |
| Author | Kaufman, Joel D Williams, Ronald Szpiro, Adam A Kioumourtzoglou, Marianthi-Anna Yanosky, Jeff D Sheppard, Lianne Suh, Helen Spiegelman, Donna Laden, Francine Hong, Biling |
| AuthorAffiliation | 6 Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania 1 Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA 3 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA 4 Department of Biostatistics, University of Washington, Seattle, Washington, USA 8 Department of Health Sciences, Northeastern University, Boston, Massachusetts, USA 5 Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA 7 U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA 2 Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA |
| AuthorAffiliation_xml | – name: 2 Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA – name: 5 Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA – name: 6 Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania – name: 7 U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA – name: 3 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA – name: 4 Department of Biostatistics, University of Washington, Seattle, Washington, USA – name: 8 Department of Health Sciences, Northeastern University, Boston, Massachusetts, USA – name: 1 Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA |
| Author_xml | – sequence: 1 givenname: Marianthi-Anna surname: Kioumourtzoglou fullname: Kioumourtzoglou, Marianthi-Anna email: marianthi.anna@mail.harvard.edu organization: Department of Environmental Health, Harvard School of Public Health – sequence: 2 givenname: Donna surname: Spiegelman fullname: Spiegelman, Donna organization: Department of Epidemiology, Harvard School of Public Health, Department of Biostatistics, Harvard School of Public Health – sequence: 3 givenname: Adam A surname: Szpiro fullname: Szpiro, Adam A organization: Department of Biostatistics, University of Washington – sequence: 4 givenname: Lianne surname: Sheppard fullname: Sheppard, Lianne organization: Department of Biostatistics, University of Washington, Department of Environmental and Occupational Health Sciences, University of Washington – sequence: 5 givenname: Joel D surname: Kaufman fullname: Kaufman, Joel D organization: Department of Environmental and Occupational Health Sciences, University of Washington – sequence: 6 givenname: Jeff D surname: Yanosky fullname: Yanosky, Jeff D organization: Department of Public Health Sciences, Pennsylvania State University College of Medicine – sequence: 7 givenname: Ronald surname: Williams fullname: Williams, Ronald organization: U.S. Environmental Protection Agency, Research Triangle Park – sequence: 8 givenname: Francine surname: Laden fullname: Laden, Francine organization: Department of Environmental Health, Harvard School of Public Health, Department of Epidemiology, Harvard School of Public Health – sequence: 9 givenname: Biling surname: Hong fullname: Hong, Biling organization: Department of Epidemiology, Harvard School of Public Health – sequence: 10 givenname: Helen surname: Suh fullname: Suh, Helen organization: Department of Health Sciences, Northeastern University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24410940$$D View this record in MEDLINE/PubMed |
| BookMark | eNp1kktv1DAUhSNURB-wZYkssWGTqV9xYhZIo6otSEWwAImd5Tg3M66ceLCTioo_j9PpTGdKqyiydX3OZ9-je5wd9L6HLHtL8IyQSpwSXoocC_krJyynL7KjbeFgZ3-YHcd4jTEpK1G8yg4p5wRLjo-yv-d_Vj6OAVAHelo76AcEIfiAbI--f6WzAi1Bu2GJoG3BDBHFYWwsxI9ojlbeO2iQ7rW7jTYi3yKwi-WAVhCiT1UEG_6NdrbRg_X9BvA6e9lqF-HN_XqS_bw4_3H2Ob_6dvnlbH6V14LLITeiKhuNq5oawWtJgbcYm4LxhjWUmUYWnDcSV6IuKRUto4UUdU1EYTBldaXZSfZpzV2NdQeNSR0G7dQq2E6HW-W1VfsnvV2qhb9RTFJayioB5mtAbf0zgP0T4zs1ha-m8BVhiibGh_tHBP97hDiozkYDzuke_BiTXMr0C1ok6ftH0ms_hhTmnaqUgqUOH1QL7UDZvvXpajNB1bxgUnBayena2ROq9DXQWZNmqbWpvmd4txvWtsnNyDwQTfAxBmi3EoLVNJP_d84fGYwd7gYhPcW6522na1tM_H4BYSeFpx3_ANjH9H4 |
| CitedBy_id | crossref_primary_10_1093_aje_kwac139 crossref_primary_10_1097_EDE_0000000000000686 crossref_primary_10_1016_j_envres_2022_114792 crossref_primary_10_1097_EDE_0000000000000724 crossref_primary_10_1289_EHP192 crossref_primary_10_1016_S2542_5196_20_30220_5 crossref_primary_10_1097_EE9_0000000000000009 crossref_primary_10_1093_toxsci_kfx077 crossref_primary_10_1111_biom_13877 crossref_primary_10_1186_s12940_020_00683_x crossref_primary_10_1016_j_uclim_2023_101677 crossref_primary_10_1007_s11869_015_0356_1 crossref_primary_10_1515_ijb_2017_0002 crossref_primary_10_1007_s10668_023_03208_x crossref_primary_10_1038_jes_2015_11 crossref_primary_10_1016_j_envres_2016_03_035 crossref_primary_10_1289_EHP4094 crossref_primary_10_1021_es505030u crossref_primary_10_1016_j_scitotenv_2023_162292 crossref_primary_10_1214_18_AOAS1206 crossref_primary_10_1093_humrep_dez111 crossref_primary_10_1016_j_envpol_2019_113690 crossref_primary_10_1186_s12940_015_0027_6 crossref_primary_10_1186_s12940_017_0216_6 crossref_primary_10_1016_j_envint_2022_107554 crossref_primary_10_1097_EDE_0000000000001265 crossref_primary_10_1289_EHP241 crossref_primary_10_1016_j_envres_2020_110181 crossref_primary_10_1016_j_envint_2021_106636 crossref_primary_10_1016_j_rmed_2021_106313 crossref_primary_10_1016_j_envint_2019_02_053 crossref_primary_10_1097_EDE_0000000000000859 crossref_primary_10_1016_j_envint_2016_11_016 crossref_primary_10_1007_s40572_019_00235_7 crossref_primary_10_1016_j_scitotenv_2018_11_088 crossref_primary_10_1136_bmj_2022_071620 crossref_primary_10_1016_j_envint_2017_09_010 crossref_primary_10_1016_j_envpol_2020_114989 crossref_primary_10_1289_EHP259 crossref_primary_10_1126_sciadv_aba5692 crossref_primary_10_1007_s40572_023_00414_7 crossref_primary_10_1155_2024_5589891 crossref_primary_10_1136_bmj_2023_076322 crossref_primary_10_1088_1748_9326_ab2dcb crossref_primary_10_1016_j_jpeds_2017_10_012 crossref_primary_10_1038_s41467_021_27049_2 crossref_primary_10_1016_j_envint_2016_12_024 crossref_primary_10_1111_resp_14140 crossref_primary_10_1016_j_atmosenv_2020_117295 crossref_primary_10_1002_sim_9693 crossref_primary_10_1289_ehp_1408973 crossref_primary_10_1097_EDE_0000000000000918 crossref_primary_10_1002_env_2249 crossref_primary_10_1016_j_atmosenv_2017_12_034 crossref_primary_10_1016_j_scitotenv_2023_162090 crossref_primary_10_1021_acs_est_7b02409 crossref_primary_10_1038_s41598_023_48920_w crossref_primary_10_1097_EE9_0000000000000204 crossref_primary_10_1097_EDE_0000000000000361 crossref_primary_10_1016_j_envint_2020_105500 crossref_primary_10_1002_sim_8532 crossref_primary_10_1007_s13253_022_00508_z crossref_primary_10_1016_j_atmosenv_2017_06_038 crossref_primary_10_3390_ijerph110909553 crossref_primary_10_1080_08965803_2020_1806616 crossref_primary_10_1289_EHP7425 crossref_primary_10_3390_cli5030062 crossref_primary_10_1007_s40572_015_0073_9 crossref_primary_10_1097_EDE_0000000000001581 crossref_primary_10_3390_cli5030066 crossref_primary_10_1016_j_envres_2017_02_013 crossref_primary_10_1016_j_envint_2021_106447 crossref_primary_10_1016_j_scitotenv_2016_10_241 crossref_primary_10_1093_aje_kww163 crossref_primary_10_1021_es506275c crossref_primary_10_1016_j_scitotenv_2023_163613 crossref_primary_10_1016_S2542_5196_20_30227_8 crossref_primary_10_1002_sim_7852 crossref_primary_10_1016_j_envadv_2022_100257 crossref_primary_10_1007_s40572_024_00466_3 crossref_primary_10_1186_s13058_017_0915_5 crossref_primary_10_3389_fams_2024_1368147 crossref_primary_10_1097_EDE_0000000000000269 crossref_primary_10_1016_j_neuro_2016_06_004 crossref_primary_10_1097_EDE_0000000000000422 crossref_primary_10_1016_j_envres_2016_08_029 crossref_primary_10_3233_AIS_190540 crossref_primary_10_1001_jamaophthalmol_2018_5313 crossref_primary_10_1016_j_envres_2018_04_013 crossref_primary_10_1097_EE9_0000000000000303 crossref_primary_10_1097_EDE_0000000000001197 crossref_primary_10_1097_EE9_0000000000000022 crossref_primary_10_1093_aje_kwaa259 crossref_primary_10_1289_EHP10389 crossref_primary_10_1093_aje_kwac031 crossref_primary_10_1177_0962280221998410 crossref_primary_10_1016_j_envint_2022_107694 crossref_primary_10_1038_s41598_022_08096_1 crossref_primary_10_1097_EDE_0000000000001085 crossref_primary_10_2217_epi_2017_0094 crossref_primary_10_1097_EDE_0000000000001001 crossref_primary_10_1016_S2542_5196_20_30164_9 crossref_primary_10_1016_j_envint_2024_108743 crossref_primary_10_1021_acs_estlett_1c00970 crossref_primary_10_1016_j_envres_2021_111554 crossref_primary_10_1021_acs_est_3c09745 crossref_primary_10_1093_aje_kwad099 crossref_primary_10_1038_s41370_018_0053_x crossref_primary_10_1016_j_gloepi_2022_100073 crossref_primary_10_1093_eep_dvw006 crossref_primary_10_1007_s12524_023_01769_y |
| Cites_doi | 10.1038/jes.2009.10 10.1093/biostatistics/1.2.157 10.1289/ehp.7511 10.1038/sj.jes.7500621 10.1164/rccm.201012-2082OC 10.1080/15287390590935941 10.1214/08-AOAS204 10.1289/ehp.0211043 10.1002/sim.2785 10.1097/EDE.0b013e31819e4331 10.1097/EDE.0b013e3181cb41f7 10.1016/j.atmosenv.2003.09.010 10.1093/oxfordjournals.aje.a115715 10.1080/10473289.2000.10464165 10.1080/15287390590935987 10.1097/EDE.0b013e3182254cc6 10.1080/01621459.1987.10478472 10.1097/EDE.0b013e3181673bab 10.1039/b805991h 10.1080/15287390590936076 10.1097/EDE.0b013e31823a4386 10.1093/biostatistics/kxq083 10.1136/oem.2010.055681 10.1016/S0140-6736(02)11280-3 10.1289/ehp.00108419 10.1016/j.atmosenv.2011.04.073 10.1289/ehp.9621 10.1093/biostatistics/kxn033 10.1093/aje/kwm396 10.1007/978-0-387-84858-7 10.1016/j.atmosenv.2012.04.045 10.1289/ehp.8422 10.1080/08958370903161612 10.1289/ehp.6011 10.1038/jes.2010.14 10.1289/ehp.0900572 10.1038/sj.jea.7500413 10.1002/env.1014 10.1080/10473289.2000.10464164 10.1038/jes.2012.23 10.1080/15287390590936030 10.1038/sj.jea.7500378 10.1289/ehp.10873 10.1038/sj.jea.7500434 10.1016/j.atmosenv.2003.09.019 10.1016/j.scitotenv.2009.02.016 10.1038/sj.jea.7500458 10.1056/NEJMoa054409 10.1097/01.ede.0000181630.15826.7d 10.1289/ehp.11692 10.1007/s11869-011-0140-9 10.1038/sj.jes.7500631 10.1016/j.atmosenv.2003.08.034 10.1093/oxfordjournals.aje.a115761 10.1146/annurev.pu.14.050193.000441 10.1021/es025796b |
| ContentType | Journal Article |
| Copyright | Kioumourtzoglou et al.; licensee BioMed Central Ltd. 2014 COPYRIGHT 2014 BioMed Central Ltd. 2014 Kioumourtzoglou et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2014 Kioumourtzoglou et al.; licensee BioMed Central Ltd. 2014 Kioumourtzoglou et al.; licensee BioMed Central Ltd. |
| Copyright_xml | – notice: Kioumourtzoglou et al.; licensee BioMed Central Ltd. 2014 – notice: COPYRIGHT 2014 BioMed Central Ltd. – notice: 2014 Kioumourtzoglou et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. – notice: Copyright © 2014 Kioumourtzoglou et al.; licensee BioMed Central Ltd. 2014 Kioumourtzoglou et al.; licensee BioMed Central Ltd. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7T2 7U7 7X7 7XB 88E 8C1 8FE 8FG 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ATCPS AZQEC BENPR BGLVJ BHPHI C1K CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. L6V M0S M1P M7S PATMY PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY 7X8 5PM |
| DOI | 10.1186/1476-069X-13-2 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health and Safety Science Abstracts (Full archive) Toxicology Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Public Health Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Agricultural & Environmental Science Database ProQuest Central Essentials ProQuest Central Technology Collection (via ProQuest SciTech Premium Collection) Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) ProQuest Engineering Collection ProQuest Health & Medical Collection Medical Database Engineering Database Environmental Science Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering collection Environmental Science Collection MEDLINE - Academic PubMed Central (Full Participant titles) |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China Environmental Sciences and Pollution Management ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection ProQuest Engineering Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Agricultural & Environmental Science Collection Health & Safety Science Abstracts ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Engineering Database ProQuest Public Health Toxicology Abstracts ProQuest One Academic Eastern Edition ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) Environmental Science Collection ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition Materials Science & Engineering Collection Environmental Science Database ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE Publicly Available Content Database MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine Public Health |
| EISSN | 1476-069X |
| EndPage | 2 |
| ExternalDocumentID | PMC3922798 oai_biomedcentral_com_1476_069X_13_2 3217828931 A539642892 24410940 10_1186_1476_069X_13_2 |
| Genre | Validation Study Journal Article Research Support, N.I.H., Extramural |
| GeographicLocations | United States Cities United States--US Massachusetts |
| GeographicLocations_xml | – name: Cities – name: United States – name: Massachusetts – name: United States--US |
| GrantInformation_xml | – fundername: NIEHS NIH HHS grantid: R01 ES017017 – fundername: NIEHS NIH HHS grantid: T32 ES 007069 – fundername: NIAID NIH HHS grantid: R01 AI112339 – fundername: NIEHS NIH HHS grantid: T32 ES007069 – fundername: NIEHS NIH HHS grantid: ES 09411 – fundername: NIEHS NIH HHS grantid: R01 ES009411 |
| GroupedDBID | --- 0R~ 29G 2WC 2XV 4.4 4P2 53G 5GY 5VS 6PF 7X7 7XC 88E 8C1 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAJSJ AASML AAWTL ABDBF ABJCF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACUHS ADBBV ADFRT ADRAZ ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHMBA AHSBF AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS ATCPS BAPOH BAWUL BCNDV BENPR BFQNJ BGLVJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CS3 DIK E3Z EAD EAP EAS EBD EBLON EBS ECGQY EJD EMB EMK EMOBN ESTFP ESX F5P FYUFA GROUPED_DOAJ GX1 H13 HCIFZ HMCUK HYE IAO IEP IHR INH INR ITC ITG ITH KQ8 L6V L7B M1P M48 M7S M~E O5R O5S OK1 OVT PATMY PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PTHSS PUEGO PYCSY RBZ RNS ROL RPM RSV SEV SOJ SV3 TR2 TUS U2A UKHRP WOQ WOW XSB AAYXX ALIPV CITATION CGR CUY CVF ECM EIF NPM PMFND 3V. 7T2 7U7 7XB 8FK AZQEC C1K DWQXO GNUQQ K9. PKEHL PQEST PQUKI PRINS 7X8 -5A -5G -A0 -BR ABVAZ ACRMQ ADINQ AFGXO AFNRJ C24 FRP 5PM |
| ID | FETCH-LOGICAL-b649t-c687da08b2c64b92e4f00c534d3d23cd9544d9086b7226f32596bb165c023b8a3 |
| IEDL.DBID | M48 |
| ISSN | 1476-069X |
| IngestDate | Thu Aug 21 18:26:03 EDT 2025 Wed May 22 07:13:27 EDT 2024 Mon Sep 08 05:33:02 EDT 2025 Fri Jul 25 10:39:06 EDT 2025 Tue Jun 17 22:05:24 EDT 2025 Tue Jun 10 21:03:00 EDT 2025 Thu Apr 03 06:57:42 EDT 2025 Tue Jul 01 02:00:18 EDT 2025 Thu Apr 24 23:05:40 EDT 2025 Sat Sep 06 07:32:18 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Monitoring data Spatio-temporal models Exposure measurement error Fine particles Fine particles of ambient origin |
| Language | English |
| License | http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-b649t-c687da08b2c64b92e4f00c534d3d23cd9544d9086b7226f32596bb165c023b8a3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 |
| OpenAccessLink | https://www.proquest.com/docview/1497963596?pq-origsite=%requestingapplication% |
| PMID | 24410940 |
| PQID | 1497963596 |
| PQPubID | 44372 |
| PageCount | 1 |
| ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_3922798 biomedcentral_primary_oai_biomedcentral_com_1476_069X_13_2 proquest_miscellaneous_1499149625 proquest_journals_1497963596 gale_infotracmisc_A539642892 gale_infotracacademiconefile_A539642892 pubmed_primary_24410940 crossref_primary_10_1186_1476_069X_13_2 crossref_citationtrail_10_1186_1476_069X_13_2 springer_journals_10_1186_1476_069X_13_2 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2014-01-13 |
| PublicationDateYYYYMMDD | 2014-01-13 |
| PublicationDate_xml | – month: 01 year: 2014 text: 2014-01-13 day: 13 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Environmental health |
| PublicationTitleAbbrev | Environ Health |
| PublicationTitleAlternate | Environ Health |
| PublicationYear | 2014 |
| Publisher | BioMed Central BioMed Central Ltd |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd |
| References | K Ward-Brown (828_CR38) 2009; 407 BA Armstrong (828_CR1) 1990; 132 HH Suh (828_CR35) 2004 SG Self (828_CR52) 1987; 82 D Thomas (828_CR4) 1993; 14 RL Smith (828_CR55) 2009; 21 AA Szpiro (828_CR21) 2011; 22 LJ Liu (828_CR31) 2003; 111 L Sheppard (828_CR26) 2005; 15 D Krewski (828_CR61) 2005; 68 TF Bateson (828_CR3) 2007; 17 JQ Koenig (828_CR51) 2005; 113 R Williams (828_CR40) 2003; 37 PK Hopke (828_CR47) 2006; 16 L Sheppard (828_CR19) 2012; 5 W Wilson (828_CR50) 2000; 50 F Dominici (828_CR22) 2000; 1 Y Guo (828_CR62) 2012; 23 E Setton (828_CR15) 2011; 21 JA Sarnat (828_CR44) 2007; 17 S Sarnat (828_CR8) 2010; 20 NA Janssen (828_CR54) 2002; 110 BA Armstrong (828_CR2) 2004 MJ Lipsett (828_CR60) 2011; 184 RC Puett (828_CR11) 2009; 117 ML Bell (828_CR53) 2008; 167 P Sampson (828_CR13) 2011; 45 W Wilson (828_CR45) 1997; 47 D Thomas (828_CR27) 2005; 68 P Koutrakis (828_CR30) 2005 Y Hazi (828_CR46) 2003; 37 M Strand (828_CR23) 2006; 16 R Williams (828_CR41) 2003; 37 C Paciorek (828_CR43) 2009; 3 T Hastie (828_CR56) 2009 SL Zeger (828_CR5) 2000; 108 AA Szpiro (828_CR18) 2011; 12 SI Hsu (828_CR48) 2012; 22 M Jerrett (828_CR10) 2005; 16 SE Sarnat (828_CR29) 2006; 114 S Haneuse (828_CR28) 2007; 26 MS Lee (828_CR7) 2011; 68 ML Bell (828_CR58) 2007; 115 JA Sarnat (828_CR49) 2002; 36 K Ward-Brown (828_CR37) 2008; 10 CP Weisel (828_CR39) 2005 SY Kim (828_CR20) 2009; 20 JA Sarnat (828_CR59) 2008; 116 B Rosner (828_CR63) 1990; 132 S Eftim (828_CR25) 2005; 68 QY Meng (828_CR32) 2005; 15 HH Suh (828_CR36) 2010; 52 KA Miller (828_CR42) 2007; 365 G Hoek (828_CR9) 2002; 360 G Goldman (828_CR6) 2012; 57 HH Suh (828_CR34) 2003 CL Avery (828_CR57) 2010; 21 JD Yanosky (828_CR14) 2009; 117 L Sheppard (828_CR16) 2005; 68 A Szpiro (828_CR12) 2010; 21 S Van Roosbroeck (828_CR24) 2008; 19 A Gryparis (828_CR17) 2009; 10 JA Sarnat (828_CR33) 2000; 50 |
| References_xml | – volume: 20 start-page: 135 issue: 2 year: 2010 ident: 828_CR8 publication-title: J Expo Sci Environ Epidemiol doi: 10.1038/jes.2009.10 – volume: 1 start-page: 157 issue: 2 year: 2000 ident: 828_CR22 publication-title: Biostatistics doi: 10.1093/biostatistics/1.2.157 – volume: 52 start-page: 685 issue: 7 year: 2010 ident: 828_CR36 publication-title: JOEM – volume: 113 start-page: 499 year: 2005 ident: 828_CR51 publication-title: Environ Health Perspect doi: 10.1289/ehp.7511 – volume-title: Characterization of Particulate and Gas Exposures of Sensitive Subpopulations Living in Baltimore and Boston year: 2005 ident: 828_CR30 – volume: 17 start-page: S75 year: 2007 ident: 828_CR44 publication-title: J Expo Sci Environ Epidemiol doi: 10.1038/sj.jes.7500621 – volume: 184 start-page: 828 issue: 7 year: 2011 ident: 828_CR60 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201012-2082OC – volume: 68 start-page: 1093 issue: 13-14 year: 2005 ident: 828_CR61 publication-title: J Toxicol Environ Health A Current Issues doi: 10.1080/15287390590935941 – volume: 3 start-page: 370 year: 2009 ident: 828_CR43 publication-title: Ann Appl Stat doi: 10.1214/08-AOAS204 – volume: 110 start-page: 43 year: 2002 ident: 828_CR54 publication-title: Environ Health Perspect doi: 10.1289/ehp.0211043 – volume-title: Characterization of the Composition of Personal, Indoor, and Outdoor Particulate Exposures year: 2003 ident: 828_CR34 – volume: 26 start-page: 3172 issue: 16 year: 2007 ident: 828_CR28 publication-title: Stat Med doi: 10.1002/sim.2785 – volume: 20 start-page: 442 issue: 3 year: 2009 ident: 828_CR20 publication-title: Epidemiol doi: 10.1097/EDE.0b013e31819e4331 – volume: 21 start-page: 215 issue: 2 year: 2010 ident: 828_CR57 publication-title: Epidemiol doi: 10.1097/EDE.0b013e3181cb41f7 – volume: 37 start-page: 5365 year: 2003 ident: 828_CR41 publication-title: Atmos Environ doi: 10.1016/j.atmosenv.2003.09.010 – volume: 132 start-page: 734 issue: 4 year: 1990 ident: 828_CR63 publication-title: Am J Epidemiol doi: 10.1093/oxfordjournals.aje.a115715 – volume: 50 start-page: 1184 year: 2000 ident: 828_CR33 publication-title: J Air & Waste Manage Assoc doi: 10.1080/10473289.2000.10464165 – volume: 68 start-page: 1127 year: 2005 ident: 828_CR16 publication-title: J Toxicol Environ Health A doi: 10.1080/15287390590935987 – volume: 22 start-page: 680 issue: 5 year: 2011 ident: 828_CR21 publication-title: Epidemiol doi: 10.1097/EDE.0b013e3182254cc6 – volume: 82 start-page: 605 issue: 398 year: 1987 ident: 828_CR52 publication-title: J Am Stat Assoc doi: 10.1080/01621459.1987.10478472 – volume: 19 start-page: 409 issue: 3 year: 2008 ident: 828_CR24 publication-title: Epidemiol doi: 10.1097/EDE.0b013e3181673bab – volume: 10 start-page: 1041 year: 2008 ident: 828_CR37 publication-title: J Environ Monit doi: 10.1039/b805991h – volume: 68 start-page: 1191 year: 2005 ident: 828_CR25 publication-title: J Toxicol Environ Health A doi: 10.1080/15287390590936076 – volume: 23 start-page: 165 year: 2012 ident: 828_CR62 publication-title: Epidemiol doi: 10.1097/EDE.0b013e31823a4386 – volume: 12 start-page: 610 issue: 4 year: 2011 ident: 828_CR18 publication-title: Biostatistics doi: 10.1093/biostatistics/kxq083 – volume-title: Relationships of Indoor, Outdoor, and Personal Air (RIOPA): Part I. Collection Methods and Descriptive Analyses year: 2005 ident: 828_CR39 – volume: 68 start-page: 474 issue: 7 year: 2011 ident: 828_CR7 publication-title: Occup Environ Med doi: 10.1136/oem.2010.055681 – volume: 360 start-page: 1203 issue: 9341 year: 2002 ident: 828_CR9 publication-title: The Lancet doi: 10.1016/S0140-6736(02)11280-3 – volume: 108 start-page: 419 issue: 5 year: 2000 ident: 828_CR5 publication-title: Environ Health Perspect doi: 10.1289/ehp.00108419 – volume: 45 start-page: 6593 issue: 36 year: 2011 ident: 828_CR13 publication-title: Atmos Environ doi: 10.1016/j.atmosenv.2011.04.073 – volume-title: Exposure assessment in occupational and environmental epidemiology year: 2004 ident: 828_CR2 – volume: 47 start-page: 1238 year: 1997 ident: 828_CR45 publication-title: JAWMA – volume: 115 start-page: 989 issue: 7 year: 2007 ident: 828_CR58 publication-title: Environ Health Perspect doi: 10.1289/ehp.9621 – volume: 10 start-page: 258 year: 2009 ident: 828_CR17 publication-title: Biostatistics doi: 10.1093/biostatistics/kxn033 – volume: 167 start-page: 986 issue: 8 year: 2008 ident: 828_CR53 publication-title: Am J Epidemiol doi: 10.1093/aje/kwm396 – volume-title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed year: 2009 ident: 828_CR56 doi: 10.1007/978-0-387-84858-7 – volume: 57 start-page: 101 year: 2012 ident: 828_CR6 publication-title: Atmos Environ doi: 10.1016/j.atmosenv.2012.04.045 – volume: 114 start-page: 649 issue: 5 year: 2006 ident: 828_CR29 publication-title: Environ Health Perspect doi: 10.1289/ehp.8422 – volume: 21 start-page: 37 issue: S2 year: 2009 ident: 828_CR55 publication-title: Inhal Toxicol doi: 10.1080/08958370903161612 – volume-title: Detailed Characterization of Indoor and Personal Particulate Matter Concentrations year: 2004 ident: 828_CR35 – volume: 111 start-page: 909 issue: 7 year: 2003 ident: 828_CR31 publication-title: Environ Health Perspect doi: 10.1289/ehp.6011 – volume: 21 start-page: 42 year: 2011 ident: 828_CR15 publication-title: J Expo Sci Environ Epidemiol doi: 10.1038/jes.2010.14 – volume: 117 start-page: 1697 issue: 11 year: 2009 ident: 828_CR11 publication-title: Environ Health Perspect doi: 10.1289/ehp.0900572 – volume: 15 start-page: 366 year: 2005 ident: 828_CR26 publication-title: J Expo Anal Environ Epidemiol doi: 10.1038/sj.jea.7500413 – volume: 21 start-page: 606 year: 2010 ident: 828_CR12 publication-title: Environmetrics doi: 10.1002/env.1014 – volume: 50 start-page: 1167 year: 2000 ident: 828_CR50 publication-title: J Air & Waste Manage Assoc doi: 10.1080/10473289.2000.10464164 – volume: 22 start-page: 439 year: 2012 ident: 828_CR48 publication-title: J Expos Sci Environ Epidemiol doi: 10.1038/jes.2012.23 – volume: 68 start-page: 1167 year: 2005 ident: 828_CR27 publication-title: J Toxicol Environ Health A doi: 10.1080/15287390590936030 – volume: 15 start-page: 17 year: 2005 ident: 828_CR32 publication-title: J Expo Anal Environ Epidemiol doi: 10.1038/sj.jea.7500378 – volume: 116 start-page: 459 issue: 4 year: 2008 ident: 828_CR59 publication-title: Environ Health Perspect doi: 10.1289/ehp.10873 – volume: 16 start-page: 30 year: 2006 ident: 828_CR23 publication-title: J Expo Sci Environ Epidemiol doi: 10.1038/sj.jea.7500434 – volume: 37 start-page: 5349 year: 2003 ident: 828_CR40 publication-title: Atmos Environ doi: 10.1016/j.atmosenv.2003.09.019 – volume: 407 start-page: 3754 year: 2009 ident: 828_CR38 publication-title: Sci Total Environ doi: 10.1016/j.scitotenv.2009.02.016 – volume: 16 start-page: 275 year: 2006 ident: 828_CR47 publication-title: J Expo Anal Environ Epidemiol doi: 10.1038/sj.jea.7500458 – volume: 365 start-page: 447 issue: 5 year: 2007 ident: 828_CR42 publication-title: N Engl J Med doi: 10.1056/NEJMoa054409 – volume: 16 start-page: 727 issue: 6 year: 2005 ident: 828_CR10 publication-title: Epidemiol doi: 10.1097/01.ede.0000181630.15826.7d – volume: 117 start-page: 522 issue: 4 year: 2009 ident: 828_CR14 publication-title: Environ Health Perspect doi: 10.1289/ehp.11692 – volume: 5 start-page: 203 issue: 2 year: 2012 ident: 828_CR19 publication-title: Air Qual Atmos Health doi: 10.1007/s11869-011-0140-9 – volume: 17 start-page: S90 year: 2007 ident: 828_CR3 publication-title: J Expo Sci Environ Epidemiol doi: 10.1038/sj.jes.7500631 – volume: 37 start-page: 5403 year: 2003 ident: 828_CR46 publication-title: Atmos Environ doi: 10.1016/j.atmosenv.2003.08.034 – volume: 132 start-page: 1176 issue: 6 year: 1990 ident: 828_CR1 publication-title: Am J Epidemiol doi: 10.1093/oxfordjournals.aje.a115761 – volume: 14 start-page: 69 year: 1993 ident: 828_CR4 publication-title: Annu Rev Publ Health doi: 10.1146/annurev.pu.14.050193.000441 – volume: 36 start-page: 5305 issue: 24 year: 2002 ident: 828_CR49 publication-title: Environ Sci Technol doi: 10.1021/es025796b |
| SSID | ssj0017865 |
| Score | 2.421763 |
| Snippet | Background
Exposure measurement error is a concern in long-term PM
2.5
health studies using ambient concentrations as exposures. We assessed error magnitude by... Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating... Background Exposure measurement error is a concern in long-term PM.sub.2.5 health studies using ambient concentrations as exposures. We assessed error... Exposure measurement error is a concern in long-term PM.sub.2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by... Doc number: 2 Abstract Background: Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We... BACKGROUND: Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by... |
| SourceID | pubmedcentral biomedcentral proquest gale pubmed crossref springer |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 2 |
| SubjectTerms | Air Pollutants - analysis Air pollution Bias Calibration Cities Earth and Environmental Science Environment Environmental Exposure - analysis Environmental Exposure - statistics & numerical data Environmental Health Environmental protection Exposure Health risk assessment Health risks Heterogeneity Humans Linear Models Motor vehicles Occupational Medicine/Industrial Medicine Outdoor air quality Particle Size Particulate matter Particulate Matter - analysis Public Health Research Design Sulfates - analysis Uncertainty United States |
| SummonAdditionalLinks | – databaseName: ProQuest Technology Collection dbid: 8FG link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lj9MwELZgkRAXxJssCzISElwMjV-x94IqtGWFVMSBlXqzEtsRlXaT0nYlpP3zzCROd1Meh548cRPPNy97PEPIG6miMGUdmJQTDwGK5sxWAQSvDqoWoDR1hbeR51_16Zn8slCLtOG2SWmVg07sFHVoPe6RfwBPvgCwKKs_rn4y7BqFp6uphcZtcicHS4M4N7PPu1OEwmiVCjXmRsMUBUTP2i5YLhjfu-F-PjJM--r5hn3az53cO0Dt7NLsAbmfHEo67RHwkNyKzSNyd56OzB-Tq5Nfqxa3AenF9XYgjet1u6bLhn6b8_eK9rchaUruoJs-ufCYTim24IqBlql2CW1r2m2m0lXy4mkc5gfMLvsOTcMET8jZ7OT7p1OWOi6wSku7ZV6bIpQTU3GvZWV5lPVk4pWQQQQufLBKymAhCqoKcNtqAbET8DLXyoPpr0wpnpKDpm3ic0KNz73GIx6OJQENBPBWCl8rsMmhAHxk5Hi0_G7VV9dwWO96PAIwcMg7h7xzuXA8I2zglfOpljm21Dh3XUxj9B_0b3f0w__8kxJZ71C8YUZfplsK8FFYKMtNlbAYslmgPBpRglj68fAAHpfUwsZdgzgjr3fD-CSmujWxvexoLPwgLs3Isx5ru3cGXyzHgocZKUYoHC3eeKRZ_uiKhoMfzIEbGXk34PXGa_11KQ7__wUvyD1wHjGFCcTpiBxs15fxJTho2-pVJ4W_ATSeO50 priority: 102 providerName: ProQuest – databaseName: SpringerLink Journals (ICM) dbid: U2A link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjR1Ni9Qw9LGsIIKIrl_VVSIIeqm2-Wqyt0F2WYQRDw7MLbRJigNrO8zOgrB_fl_SdNzOKnjoKS9pm_ed9xGA91x4purW5ZwXFh0USXPdOGS81omWodCUTahGnn-T5wv-dSmWB1CMtTAx230MSUZJHdlayc8lr9D3lXqZlyxHoXtPoN8eWHFBZ7u4QaWkSK0Z787Zq2m_mKiifYF8SyPtZ0vuhUyjJjp7DI-SCUlmA86fwIHvjuD-PAXJj-DhcBRHhgqjp3B9-nvdh4NA8uvPgSDxm02_IauOfJ_TT4IM9ZAkpXeQyyG98ITMSLiEyztSp-4lpG9JPE4l62THEz-uj1S7Gu5oGhd4Bouz0x9fzvN050LeSK63uZWqcnWhGmolbzT1vC0KKxh3zFFmnRacO41-UFOh4dYy9J4Qm6UUFpV_o2r2HA67vvMvgShbWhmCPDQ0BVTowmvObCtQK7sKKSSDkwk6zHror2FCx-vpCNKBCbg0AZemZIZmkI-4MzZ1Mw-XalyY6NUoeQf-ww5-fM8_IQMpmMDguKKtU50C_lRolWVmgungtGmEPJ5AImPa6fBITCYJhkt8l65Q5uGuZfBuNxxmhmS3zvdXEUbjg55pBi8G2tt9M1pjZWh5mEE1ocrJ5k1HutXP2DYcLWGK2Mjg40i_tz7rr1vx6v9BX8MDNCVDQhOy2jEcbjdX_g2aa9vmbeTQG6XOO58 priority: 102 providerName: Springer Nature |
| Title | Exposure measurement error in PM2.5 health effects studies: A pooled analysis of eight personal exposure validation studies |
| URI | https://link.springer.com/article/10.1186/1476-069X-13-2 https://www.ncbi.nlm.nih.gov/pubmed/24410940 https://www.proquest.com/docview/1497963596 https://www.proquest.com/docview/1499149625 http://dx.doi.org/10.1186/1476-069X-13-2 https://pubmed.ncbi.nlm.nih.gov/PMC3922798 |
| Volume | 13 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjR1da9swUGwtjL2Mfc9bFzQYbC_uYkuWpcIYXkhWAillWyBvwpZsFsjszE2hY39-d7ac1GkHe7AM0Vl27kN3J53uCHnLo5zJtLA-50MDDooIfZVZELzCRgWDSVNkeBp5diZO53y6iBa7-CeHwItbXTusJzWvV8dXv35_AoH_2Ai8FB8CHoNXLNTCD5gP0_EhaCWBjtiM73YUYtmUldzCugSON5_fO_m-6ims_Wn7mt7aj6nc21ht9NXkIXngDE2atJzxiNzJy8fk3sxtpT8hf8ZX6wqXB-nP3TIhzeu6qumypOez8Dii7SlJ6oI-6EUbdHhCE4qluXJLU5fThFYFbRZZ6dpZ9zTvxgdeXraVm7oBnpL5ZPx9dOq7Sgx-Jrja-EbI2KZDmYVG8EyFOS-GQxMxbpkNmbEq4twq8I6yGMy5goFPBTQORGTAJMhkyp6Rg7Iq8xeEShMYgVs_IaYKlODYK85MEYGutjHwjUdOeujX6zbrhsY82P0eEEmNtNNIOx0wHXrE72iljctxjqU2VrrxdaS4Af9uC9-955-QSHqNjAgjmtSdXoA_hQm0dBIxha6cAsijHiSIq-l3d8yjO26Hd6kYZkLAmkfebLvxSQyBK_PqsoFRcIG_6pHnLa9tvxlstAATIXok7nFhD3n9nnL5o0kmDvZxCNTwyPuOX6991q2oePnfSHtF7oN9iVFOIFlH5GBTX-avwYbbZANyN17E0MpRgO3ky4AcJsn02xTun8dn51_h15EYDZo1kkEjytDOw-QvlORLMA |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3LbtQw0CpFAi6IN4ECRgLBJbDxK3ElhFbQaku7FYdW2ptJbEesVJJldytA_BPfyEzibJvlceshJ08cx_PwzHgehDwT0vMsL10sxMCCgaJYrAsHjFc6WXIQmqrAbOTxoRodiw8TOdkgv7pcGAyr7GRiI6hdbdFH_ho0-RSIRWr1dvY1xq5ReLvatdBoyWLf__gGJtvizd57wO9zxnZ3jt6N4tBVIC6U0MvYqix1-SArmFWi0MyLcjCwkgvHHePWaSmE06DpFymoJiUH-wDWmyhp4XgrspzDvJfIZYGeceCfdLIy8JI0UzIUhkwyBUtOwVpXehInPGZrGfUnvYNw_Tg4dx6ux2quXdg25-DuDXI9KLB02FLcTbLhq1vkyjhc0d8mP3e-z2p0O9IvZ-5H6ufzek6nFf04Zq8kbbMvaQgmoYs2mHGbDim2_PKO5qFWCq1L2jhv6SxYDdR38wOPTNuOUN0Ed8jxheDiLtms6srfJzSziVV4pcSwBGHmC6YFt6UEHcClQI8R2e5tv5m11TwM1tfujwDZGcSdQdyZhBsWkbjDlbGhdjq28DgxjQ2VqT_gX6zgu-_8ExJRb1CcwIw2D1kR8FNYmMsMJddoImqA3OpBghiw_eGOeEwQQwtzxjQReboaxjcxtK7y9WkDo-EBOzgi91paW60ZdL8ECyxGJO1RYW_z-iPV9HNTpBz0bgbYiMjLjl7PLeuvW_Hg_3_whFwdHY0PzMHe4f5Dcg0UVwyfAtbaIpvL-al_BMrhsnjccCQlny5aBPwG0hB3HA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3da9swED9KB2UwxtZ9ees2DQbbi9fY-rBV9hK6hu4jpQ8r5E3Ykk0DnR3SFAr953dnyVmdbrCHPOksO7oP3enufgJ4L2TF86J2sRAjiwGKSmNdOlS82smao9FUJXUjT0_U8Zn4NpOzLfjc98J01e59StL3NBBKU7PaX7jaq3iu9hORYRys9CxOeIwG-J6gbY9StepwnUPIciUDTOPdZzb62y8G29Kmcb61O21WTm6kT7tdafIIHgZ3ko09_x_DVtXsws40JMx34YE_lmO-2-gJ3BxdL1o6FGS__hwOsmq5bJds3rDTafpJMt8byUKpB7v0pYYHbMzoQq7KsSIgmbC2Zt3RKlsEn55V_fwowXN_X1M_wVM4mxz9PDyOw_0LcamEXsVW5ZkrRnmZWiVKnVaiHo2s5MJxl3LrtBTCaYyJygyduJpjJIWcTZS06AiUecGfwXbTNtULYLlNrKKET0oAgTmG81pwW0vcoV2G0hLBwYAdZuGxNgyhXw9HUCYM8dIQL03CTRpB3PPO2IBsThdsXJguwsnVHfoPa_r-Pf-kJFEwpOw4oy1CzwL-KYLNMmPJNQVwGin3BpSopHY43AuTCUbiEt-lM7R_uGoRvFsP05NU-NZU7VVHo_GHUWoEz73srb8ZPbOE4A8jyAZSOVi84UgzP-8gxNErTpEbEXzs5ffWZ_11KV7-P-lb2Dn9MjE_vp58fwX30cOkOifUuj3YXi2vqtfoxa3KN52y_gYCjUK4 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Exposure+measurement+error+in+PM2.5+health+effects+studies%3A+A+pooled+analysis+of+eight+personal+exposure+validation+studies&rft.jtitle=Environmental+health&rft.au=Kioumourtzoglou%2C+Marianthi-Anna&rft.au=Spiegelman%2C+Donna&rft.au=Szpiro%2C+Adam+A&rft.au=Sheppard%2C+Lianne&rft.date=2014-01-13&rft.issn=1476-069X&rft.eissn=1476-069X&rft.volume=13&rft.issue=1&rft_id=info:doi/10.1186%2F1476-069X-13-2&rft.externalDBID=n%2Fa&rft.externalDocID=10_1186_1476_069X_13_2 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1476-069X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1476-069X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1476-069X&client=summon |