Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-01-27
DOI
https://doi.org/10.1186/s12879-024-10319-x
Citations
2
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
2.32

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article

Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo

Octavie Lunguya, Aimée Luyindula, Florian Marks, Nitesh Nama et al.
2 citations
BMC Infectious Diseases
Salmonella and Campylobacter epidemiology
2.32
article

Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo

Octavie Lunguya, Aimée Luyindula, Florian Marks, Nitesh Nama, Jan Jacobs, Jules Mbuyamba, Daniel Vita, Jaan Toelen, Emmanuel Ntangu, Ben Van Calster, Bieke Tack, Justin Im, Japhet Ngina, Hornela Vuvu, Hyonjin Jeon, Immaculée Kahindo, Tito Mputu
article en
2 citations

Abstract

No abstract available for this paper.
BMC Infectious DiseasesVol. 25(1)
International Vaccine Institute (KR), University of Antananarivo (MG), Heidelberg University (DE), Leiden University Medical Center (NL), University Hospital Heidelberg (DE), Cambridge School (PT), National Institute of Biomedical Research (CD), Instituut voor Tropische Geneeskunde (BE), UCLouvain (BE), KU Leuven (BE)
European Society of Clinical Microbiology and Infectious Diseases, Fonds Wetenschappelijk Onderzoek, Universitaire Ziekenhuizen Leuven, KU Leuven
Openalex Percentile: Top 15%
Salmonella and Campylobacter epidemiology
2.32
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