ArticleEGEMS (Washington, DC)2019
A Spatial Analysis of Health Disparities Associated with Antibiotic Resistant Infections in Children Living in Atlanta (2002-2010).
Article in EGEMS (Washington, DC), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Neighborhood-level income and MRSA infection risk in the USA: systematic review and meta-analysis.BMC public health · 2025Pooled it
- Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review.JMIR medical informatics · 2024Pooled it
- Using wastewater surveillance to investigate community-level differences in antibacterial resistance in a major urban center, USA.Applied and environmental microbiology · 2025Article
- Race, ethnicity and risk for colonisation and infection with key bacterial pathogens: a scoping review.BMJ global health · 2025Article
- Socioeconomic status and the risk for colonisation or infection with priority bacterial pathogens: a global evidence map.The Lancet. Microbe · 2025Review
- Variation in facility-level likelihood of drug-resistantAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Associations between neighbourhood-level median household income and outpatients' risk of antibiotic non-susceptible uropathogens in a major urban centre, USA.JAC-antimicrobial resistance · 2024Article
- Sociodemographic disparities in antibiotic-resistant outpatient urine cultures in a Boston hospital, 2015-2020: a cross-sectional analysis.International journal for equity in health · 2024Article
- Antimicrobial Resistance Patterns of Outpatient Staphylococcus aureus Isolates.JAMA network open · 2024Article
- Socioeconomic status and the risk for colonization or infection with priority bacterial pathogens: a global evidence map.medRxiv : the preprint server for health sciences · 2024Article
- Community-acquired Staphylococcus aureus skin and soft tissue infection risk assessment using hotspot analysis and risk maps: the case of California emergency departments.BMC public health · 2024Article
- The association between socioeconomic factors and the success of decolonization treatment among individuals diagnosed with methicillin-resistantInfection control and hospital epidemiology · 2023Article
- A geospatial approach to identify patterns of antibiotic susceptibility at a neighborhood level in Wisconsin, United States.Scientific reports · 2023Observational
- Increased Risk of Sub-Clinical Blood Lead Levels in the 20-County Metro Atlanta, Georgia Area-A Laboratory Surveillance-Based Study.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundAntibiotic resistant bacteria like community-onset methicillin resistant
methodsA case control epidemiology approach was undertaken to compare children with CO-MRSA to a noninfectious condition (unintentional traumatic brain injury (uTBI)). In order to better understand the impact of place based risks in developing these types of infections, data from electronic health records (EHR) were obtained from CO-MRSA cases and compared to EHR data from controls (uTBI). US Census data was used to determine area level data. Multi-level statistical models were performed using risk factors determined
resultsFrom 2002-2010, 4,613 with CO-MRSA and 34,758 with uTBI were seen from two pediatric hospitals in Atlanta, Georgia. Hispanic children had reduced odds of infection; females and public health insurance were more likely to have CO-MRSA. Spatial analyses indicate significant 'hot spots' for CO-MRSA and the overall spatial cluster locations, differed between CO-MRSA cases and uTBI controls.
conclusionsDifferences exist in race, age, and type of health insurance between CO-MRSA cases compared to noninfectious control group. Geographic clustering of cases is distinct from controls, suggesting placed based factors impact risk for CO-MRSA infection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.