Caroline Cleopatra Chisenga
Datos Biográficos
| ID | 7754496 |
|---|---|
| NOMBRE | Caroline Cleopatra Chisenga |
| NOMBRES | Caroline Cleopatra |
| APELLIDO | Chisenga |
| FIRMA | CHISENGA C C |
| AFILIACIONES | Centre for Infectious Disease Research in Zambia |
| ORCID | 0000-0002-7850-7915 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Community Engagement Strategy for Building Trust in Human Challenge Studies Using Participatory and Creative Methods
Human Infection Challenge studies (HICs) are crucial for advancing global understanding of disease pathogenesis, immune responses, and accelerating vaccine and drug development. Explorations on willingness to participate among medical students revealed the need to ensure full understanding of HIC requirements, for example, for residency, by the broader community. This raised the question of ‘How could we ensure informed and understood consent for…
Drivers of informal sector and non-prescription medication use in pediatric populations in a low- and middle-income setting
Obtaining medication from the informal sector is common in low- and middle- income countries. Informal sector use increases the risk for inappropriate medication use, including inappropriate antibiotic usage. Infants are at the highest risk of complications from inappropriate medication use, yet there is insufficient knowledge about the risk factors driving caregivers to obtain medication from the informal sector for young children. We aimed to d…
Assessment of the influence of ABO blood groups on oral cholera vaccine immunogenicity in a cholera endemic area in Zambia
Our results do not support the idea that ABO blood grouping influence vaccine uptake and responses against cholera
Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia
Stunting is a global public health issue. We sought to train and evaluate machine learning (ML) classification algorithms on the Zambia Demographic Health Survey (ZDHS) dataset to predict stunting among children under the age of five in Zambia. We applied Logistic regression (LR), Random Forest (RF), SV classification (SVC), XG Boost (XgB) and Naïve Bayes (NB) algorithms to predict the probability of stunting among children under five years of ag…
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Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia
Stunting is a global public health issue. We sought to train and evaluate machine learning (ML) classification algorithms on the Zambia Demographic Health Survey (ZDHS) dataset to predict stunting among children under the age of five in Zambia. We applied Logistic regression (LR), Random Forest (RF), SV classification (SVC), XG Boost (XgB) and Naïve Bayes (NB) algorithms to predict the probability of stunting among children under five years of ag…
Drivers of informal sector and non-prescription medication use in pediatric populations in a low- and middle-income setting
Obtaining medication from the informal sector is common in low- and middle- income countries. Informal sector use increases the risk for inappropriate medication use, including inappropriate antibiotic usage. Infants are at the highest risk of complications from inappropriate medication use, yet there is insufficient knowledge about the risk factors driving caregivers to obtain medication from the informal sector for young children. We aimed to d…
Assessment of the influence of ABO blood groups on oral cholera vaccine immunogenicity in a cholera endemic area in Zambia
Our results do not support the idea that ABO blood grouping influence vaccine uptake and responses against cholera
Community Engagement Strategy for Building Trust in Human Challenge Studies Using Participatory and Creative Methods
Human Infection Challenge studies (HICs) are crucial for advancing global understanding of disease pathogenesis, immune responses, and accelerating vaccine and drug development. Explorations on willingness to participate among medical students revealed the need to ensure full understanding of HIC requirements, for example, for residency, by the broader community. This raised the question of ‘How could we ensure informed and understood consent for…
Medicine (3 obras) · Logistic regression (2 obras) · ABO blood group system (1 obras) · Antibiotic Use and Resistance (1 obras) · Antibody (1 obras) · Antigen (1 obras) · Artificial Intelligence (1 obras) · Bayesian probability (1 obras) · Biology (1 obras) · Calibration (1 obras)