Author Page for Jeremiah Seni

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Bacteremia, Bacteriuria and Their Associated Factors Among Children with Sickle Cell Anaemia Attending at the Bugando Medical Centre, Mwanza, Tanzania

Number of pages: 16 Posted: 06 Apr 2022

Hellen Ladislaus Munaku, Emmanuela E. Ambrose, Benson Richard Kidenya, Jeremiah Seni, Vitus Silago, Elizabeth Kwiyolecha, Dina Mahamba, Neema Kayange and Stephen E. Mshana

Catholic University Of Health And Allied Sciences, Catholic University of Health & Allied Sciences - Department of Paediatrics, Department of Biochemistry and Molecular Biology, Vanderbilt University - Department of Pathology, Microbiology and Immunology, Vanderbilt University - Department of Pathology, Microbiology and Immunology, Gold Coast Health - Department of Paediatrics, Gold Coast Health - Department of Paediatrics, Catholic University Of Health And Allied Sciences and Catholic University of Health & Allied Sciences

Downloads 111 (640,165)

Abstract:

Prognostic Modeling of Mortality and Prolonged Hospital Stay in 3rd-Generation Cephalosporin-Resistant Gram-Negative Bacterial Bloodstream Infections Using Machine Learning at Bugando Medical Centre, Mwanza, Tanzania

Number of pages: 24 Posted: 19 Apr 2026

Titus Leeyio, Zacharia Igembe, Bahati Wajanga, Eveline Thobias Konje, Jim Todd and Jeremiah Seni

Catholic University Of Health And Allied Sciences, Bugando Medical Centre, Catholic University Of Health And Allied Sciences, Catholic University Of Health And Allied Sciences, Catholic University Of Health And Allied Sciences and Vanderbilt University - Department of Pathology, Microbiology and Immunology

Downloads 25 (1,385,945)

Jeremiah Seni

Vanderbilt University - Department of Pathology, Microbiology and Immunology

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Scholarly Papers (2)

Bacteremia, Bacteriuria and Their Associated Factors Among Children with Sickle Cell Anaemia Attending at the Bugando Medical Centre, Mwanza, Tanzania

Abstract:

Prognostic Modeling of Mortality and Prolonged Hospital Stay in 3rd-Generation Cephalosporin-Resistant Gram-Negative Bacterial Bloodstream Infections Using Machine Learning at Bugando Medical Centre, Mwanza, Tanzania

Abstract: