Publications by authors named "W O Ndifon"

The changes occurring in the T cell repertoire during clinical malaria infection in children remain unknown. In this study, we undertook the first detailed comparative study of the T cell repertoire in African children with and without clinical malaria to test the hypothesis that clonotypic expansions that occur during infection will contribute to the generation of a T cell repertoire that is unique to each disease state. We profiled the complementarity-determining region 3 (CDR3) of the TCRβ chain sequences from children with infections (asymptomatic, uncomplicated and severe malaria) and compared these with sequences from healthy children.

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Article Synopsis
  • - This study analyzes 203 whole genome sequences of SARS-CoV-2 from Rwanda between May 2020 and February 2021, revealing a shift towards the A.23.1 sub-lineage, which is now the dominant strain.
  • - The research also identified the first cases of the concerning B.1.1.7 and B.1.351 variants among travelers arriving at Kigali International Airport.
  • - It emphasizes the significant role of neighboring countries in introducing new cases to Rwanda and calls for ongoing genomic surveillance and regional cooperation to effectively tackle COVID-19.
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The rapid identification and isolation of infected individuals remains a key strategy for controlling the spread of SARS-CoV-2. Frequent testing of populations to detect infection early in asymptomatic or presymptomatic individuals can be a powerful tool for intercepting transmission, especially when the viral prevalence is low. However, RT-PCR testing-the gold standard of SARS-CoV-2 diagnosis-is expensive, making regular testing of every individual unfeasible.

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Long-term effects of the growing population of HIV-treated people in Southern Africa on individuals and the public health sector at large are not yet understood. This study proposes a novel 'ratio' model that relates CD4+ T-cell counts of HIV-infected individuals to the CD4+ count reference values from healthy populations. We use mixed-effects regression to fit the model to data from 1616 children (median age 4.

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