Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis

OBJECTIVE: To use interrupted time-series analyses to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infections (HAIs). We hypothesized that the pandemic would be associated with higher rates of HAIs after adjustment for confounders. DESIGN: We co...

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Detalles Bibliográficos
Autores principales: Sahrmann, John M., Nickel, Katelin B., Stwalley, Dustin, Dubberke, Erik R., Lyons, Patrick G., Michelson, Andrew P., McMullen, Kathleen M., Gandra, Sumanth, Olsen, Margaret A., Kwon, Jennie H., Burnham, Jason P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879893/
https://www.ncbi.nlm.nih.gov/pubmed/36714284
http://dx.doi.org/10.1017/ash.2022.361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879893/
https://www.ncbi.nlm.nih.gov/pubmed/36714284
http://dx.doi.org/10.1017/ash.2022.361

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