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Semi-Quantitative Analysis and Seroepidemiological Evidence of Past Dengue Virus Infection among HIV-infected patients in Onitsha, Anambra State, Nigeria

2024-03-23 · David Nwachukwu, Edith Nnenna Oketah, Chineze Helen Ugwu, Hope Chioma Innocent-Adiele, Chisom Chimbundum Adim, Euslar Nnenna Onu, Ann Onyinyechi Chukwu, Grace Aghaji Nwankwo, Mary Uche Igwe, Phillip O. Okerentugba, Iheanyi Omezuruike Okonko

Despite its endemic nature as well as the recent outbreaks, information on the opportunistic DENV in Anambra state has been sparse. This study thus aimed to give seroepidemiological evidence of past dengue virus infection among HIV-infected patients in Onitsha, Anambra State, Nigeria. Plasma from 94 HIV-infected patients who were attending Saint Charles Borromeo Hospital, Onitsha in Anambra State, Nigeria was tested for IgG antibodies specific to the dengue virus by IgG ELISA assay. The prevalence of past dengue virus infection was 61.7% (n = 58/94). This study showed age group 0-15 years (77.30%), female gender (65.1%), married (63.9%) and no formal level (100.0 %) as the highest seropositivity among the study participants. In terms of immunological and virological markers, greater IgG seroprevalence was observed in individuals with a viral load of <40 copies/ml (64.0%) and a CD4 count of >350 cells/ul (63.2%). The high IgG seropositivity of Dengue Virus (DENV) among HIV-infected individuals on Onitsha is cause for concern.

📄 PDF Abstract BibTeX arXiv:2403.15685

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Methods 이 논문이 사용한 방법론

Dense Connections Dense Connections, or Fully Connected Connections, are a type of layer in a deep neural network that use a linear operation where every input is connected to every output…
Mixup Mixup is a data augmentation technique that generates a weighted combination of random image pairs from the training data. Given two images and their ground truth labels:…
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CutMix CutMix is an image data augmentation strategy. Instead of simply removing pixels as in Cutout, we replace the removed regions with…
SAINT SAINT is a hybrid deep learning approach to solving tabular data problems. SAINT performs attention over both rows and columns, and it includes an enhanced embedding method.…

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