Impacts of population ageing on bloodstream infection epidemiology and outcomes: A machine learning and statistical modelling study

Population ageing is associated with shifts in BSI epidemiology and outcomes. Our findings suggest that tailored antimicrobial stewardship and infection management are necessary to address the burden of BSIs in ageing populations.

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Publication Details

Journal
International Journal of Infectious Diseases
Published
2025-08-09
DOI
https://doi.org/10.1016/j.ijid.2025.107998
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Impacts of population ageing on bloodstream infection epidemiology and outcomes: A machine learning and statistical modelling study

Min Hyuk Choi, Seok Hoon Jeong, Jihoon G. Yoon, Dokyun Kim
International Journal of Infectious Diseases
Bacterial Identification and Susceptibility Testing
article

Impacts of population ageing on bloodstream infection epidemiology and outcomes: A machine learning and statistical modelling study

Min Hyuk Choi, Seok Hoon Jeong, Jihoon G. Yoon, Dokyun Kim
article en

Abstract

Population ageing is associated with shifts in BSI epidemiology and outcomes. Our findings suggest that tailored antimicrobial stewardship and infection management are necessary to address the burden of BSIs in ageing populations.

International Journal of Infectious DiseasesVol. 159
Gangnam Severance Hospital (KR), Yonsei University Health System (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Good health and well-being
Openalex Percentile: Top 77%
Bacterial Identification and Susceptibility Testing
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