Aisha Dickerson

Dr. Aisha Dickerson

Johns Hopkins Bloomberg School of Public Health
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2015 in Science of The Total Environment
Verified
Journal Article
Closed access
Aisha DickersonAisha Dickerson
Aisha Dickerson
MRMohammad H. Rahbar
Mohammad H. Rahbar
IHInkyu Han
Inkyu Han
ABAmanda V. Bakian
Amanda V. Bakian
DBDeborah A. Bilder
Deborah A. Bilder
JBJon Baio
Jon Baio

14 June 2016 in Environmental Monitoring and Assessment
Verified
Journal Article
Closed access
PDF file
Aisha DickersonAisha Dickerson
Aisha Dickerson
MRMohammad H. Rahbar
Mohammad H. Rahbar
ABAmanda V. Bakian
Amanda V. Bakian
DBDeborah A. Bilder
Deborah A. Bilder
RHRebecca A. Harrington
Rebecca A. Harrington
WZWalter M. Zahorodny
Walter M. Zahorodny

14 September 2016 in Autism
Verified
Journal Article
Closed access
Aisha DickersonAisha Dickerson
Aisha Dickerson
MRMohammad H Rahbar
Mohammad H Rahbar
DPDeborah A Pearson
Deborah A Pearson
RKRussell S Kirby
Russell S Kirby
ABAmanda V Bakian
Amanda V Bakian
MWMartha Slay Wingate
Martha Slay Wingate
Utilizing surveillance data from five sites participating in the Autism and Developmental Disabilities Monitoring Network, we investigated contributions of surveillance subject and census tract population sociodemographic characteristics on variation in autism spectrum disorder ascertainment and prevalence estimates from 2000 to 2008 using ordinal hierarchical models for 2489 tracts. Multivariable analyses showed a significant increase in ascertainment of autism spectrum disorder cases through both school and health sources, the optimal ascertainment scenario, for cases with college-educated mothers (adjusted odds ratio = 1.06, 95% confidence interval = 1.02–1.09). Results from our examination of sociodemographic factors of tract populations from which cases were drawn also showed that after controlling for other covariates, statistical significance remained for associations between optimal ascertainment and percentage of Hispanic residents (adjusted odds ratio = 0.93, 95% confidence interval = 0.88–0.99) and percentage of residents with at least a bachelor’s degree (adjusted odds ratio = 1.06, 95% confidence interval = 1.01–1.11). We identified sociodemographic factors associated with autism spectrum disorder prevalence estimates including race, ethnicity, education, and income. Determining which specific factors influence disparities is complicated; however, it appears that even in the presence of education, racial and ethnic disparities are still apparent. These results suggest disparities in access to autism spectrum disorder assessments and special education for autism spectrum disorder among ethnic groups may impact subsequent surveillance.

1 September 2012 in Science of The Total Environment
Verified
Journal Article
Closed access
MRMohammad H. Rahbar
Mohammad H. Rahbar
MSMaureen Samms-Vaughan
Maureen Samms-Vaughan
MAManouchehr Ardjomand-Hessabi
Manouchehr Ardjomand-Hessabi
KLKatherine A. Loveland
Katherine A. Loveland
Aisha DickersonAisha Dickerson
Aisha Dickerson
EBEric Boerwinkle
Eric Boerwinkle

1 September 2020 in Current Environmental Health Reports
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Journal Article
Closed access
PDF file
Aisha DickersonAisha Dickerson
Aisha Dickerson
AWAlexander C. Wu
Alexander C. Wu
Zeyan LiewZeyan Liew
Zeyan Liew
MWMarc Weisskopf
Marc Weisskopf

31 January 2019 in Occupational and Environmental Medicine
Verified
Journal Article
Closed access
PDF file
Aisha DickersonAisha Dickerson
Aisha Dickerson
JHJohnni Hansen
Johnni Hansen
ASAaron J Specht
Aaron J Specht
OGOle Gredal
Ole Gredal
MWMarc G Weisskopf
Marc G Weisskopf
Objectives Previous research has indicated links between lead (Pb) exposure and increased risk of neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS). In this study, we evaluated the association between occupational Pb exposures and ALS. Methods ALS cases were ascertained through the Danish National Patient Registry from 1982 to 2013 and age and sex-matched to 100 controls. Using complete employment history since 1964 from the Danish Pension Fund, cumulative Pb exposure was estimated for each subject via a Danish job exposure matrix. Associations were evaluated using conditional logistic regression analyses and stratified by sex. Results For men with >50% probability of exposure, there was an increase in odds of ALS for exposures in the 60th percentile or higher during any time 5 years prior to diagnosis (aOR: 1.35; 95% CI 1.04 to 1.76) and 10 years prior to diagnosis (aOR: 1.33; 95% CI 1.03 to 1.72). No significant associations were observed in women, and there were no linear trends seen for Pb exposures for either sex. Conclusions Our study indicates an association between consistently higher occupational Pb exposures and ALS. These findings support those of previously reported associations between ALS and specific occupations that commonly experience Pb exposure.