Detalhe da pesquisa
1.
Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States.
PLoS One
; 18(9): e0290375, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37656705
2.
Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells.
Int J Environ Res Public Health
; 20(5)2023 03 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36901487
3.
Space-time trends of community-onset Staphylococcus aureus infections in children: a group-based trajectory modeling approach.
Ann Epidemiol
; 82: 45-53.e1, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36905976
4.
Influence of Mask Wearing during COVID-19 Surge and Non-Surge Time Periods in Two K-12 Public School Districts in Georgia, USA.
Int J Environ Res Public Health
; 20(9)2023 05 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-37174233
5.
Molecular Epidemiologic and Geo-Spatial Characterization of Staphylococcus aureus Cultured from Skin and Soft Tissue Infections from United States-Born and Immigrant Patients Living in New York City.
Antibiotics (Basel)
; 12(10)2023 Oct 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37887242
6.
Increased Risk of Sub-Clinical Blood Lead Levels in the 20-County Metro Atlanta, Georgia Area-A Laboratory Surveillance-Based Study.
Int J Environ Res Public Health
; 18(10)2021 05 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-34068063
7.
A Spatial Analysis of Health Disparities Associated with Antibiotic Resistant Infections in Children Living in Atlanta (2002-2010).
EGEMS (Wash DC)
; 7(1): 50, 2019 Sep 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31565665