Space-time trends of community-onset Staphylococcus aureus infections in children: a group-based trajectory modeling approach
Staphylococcus aureus (S. aureus) remains a serious cause of infections in the United States and worldwide. In the United States, methicillin-resistant S. aureus (MRSA) is the leading cause of skin and soft tissue infections. This study identifies ‘best’ to ‘worst’ infection trends from 2002 to 2016...
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Published in | Annals of epidemiology Vol. 82; pp. 45 - 53.e1 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.06.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Staphylococcus aureus (S. aureus) remains a serious cause of infections in the United States and worldwide. In the United States, methicillin-resistant S. aureus (MRSA) is the leading cause of skin and soft tissue infections. This study identifies ‘best’ to ‘worst’ infection trends from 2002 to 2016, using group-based trajectory modeling approach.
Electronic health records of children living in the southeastern United States with S. aureus infections from 2002 to 2016 were retrospectively studied, by applying a group-based trajectory model to estimate infection trends (low, high, very high), and then assess spatial significance of these trends at the census tract level; we focused on community-onset infections and not those considered healthcare acquired.
Three methicillin-susceptible S. aureus (MSSA) infection trends (low, high, very high) and three MRSA trends (low, high, very high) were identified from 2002 to 2016. Among census tracts with community-onset S. aureus cases, 29% of tracts belonged to the best trend (low infection) for both methicillin-resistant S. aureus and methicillin-susceptible S. aureus; higher proportions occurring in the less densely populated areas. Race disparities were seen with the worst methicillin-resistant S. aureus infection trends and were more often in urban areas.
Group-based trajectory modeling identified unique trends of S. aureus infection rates over time and space, giving insight into the associated population characteristics which reflect these trends of community-onset infection.
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•Group-based trajectory models determined spatiotemporal S. aureus infections.•Community-onset S. aureus infection trends varied from low, high, and very high.•Disparities in S. aureus infection trends differed in rural compared to urban areas.•Antibiotic-resistant S. aureus trends occurred in census tracts with higher blacks.•Group-based trajectory models showed the epidemic ‘trajectory’ curve for S. aureus. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1047-2797 1873-2585 |
DOI: | 10.1016/j.annepidem.2023.03.001 |