Carren M Bosire
Biographic Data
| ID | 9070726 |
|---|---|
| NAME | Carren M Bosire |
| GIVEN NAMES | Carren M |
| FAMILY NAME | Bosire |
| SIGNATURE | BOSIRE C M |
| AFFILIATIONS | Technical University of Mombasa |
| ORCID | 0000-0002-2871-3075 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms
Poor access to diagnostic testing in resource limited settings restricts surveillance for emerging infections, such as dengue virus (DENV), to clinician suspicion, based on history and exam observations alone. We investigated the ability of machine learning to detect DENV based solely on data available at the clinic visit. We extracted symptom and physical exam data from 6,208 pediatric febrile illness visits to Kenyan public health clinics from …
Majority of pediatric dengue virus infections in Kenya do not meet 2009 WHO criteria for dengue diagnosis
From 1975–2009, the WHO guidelines classified symptomatic dengue virus infections as dengue fever, dengue hemorrhagic fever, and dengue shock syndrome. In 2009 the case definition was changed to a clinical classification after concern the original criteria was challenging to apply in resource-limited settings and not inclusive of a substantial proportion of severe dengue cases. Our goal was to examine how well the current WHO definition identifie…
No prominent works on this page.
Majority of pediatric dengue virus infections in Kenya do not meet 2009 WHO criteria for dengue diagnosis
From 1975–2009, the WHO guidelines classified symptomatic dengue virus infections as dengue fever, dengue hemorrhagic fever, and dengue shock syndrome. In 2009 the case definition was changed to a clinical classification after concern the original criteria was challenging to apply in resource-limited settings and not inclusive of a substantial proportion of severe dengue cases. Our goal was to examine how well the current WHO definition identifie…
Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms
Poor access to diagnostic testing in resource limited settings restricts surveillance for emerging infections, such as dengue virus (DENV), to clinician suspicion, based on history and exam observations alone. We investigated the ability of machine learning to detect DENV based solely on data available at the clinic visit. We extracted symptom and physical exam data from 6,208 pediatric febrile illness visits to Kenyan public health clinics from …
Dengue fever (2 works) · Dengue virus (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Mosquito-borne diseases and control (2 works) · Viral Infections and Outbreaks Research (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · COVID-19 epidemiological studies (1 work)