Disparate types of data including biological and environmental have been used in supervised learning to predict a specific disease outcome. However, social determinants of health, which have been explored very little, promise to be significant predictors of public health problems such as malaria and anemia among children. We considered studying their contribution power in malaria and anemia predictions based on Variable Importance in Projection (VIP). This innovative method has potential advantages as it analyzes the impact of independent variables on disease prediction. In addition, we applied five machine learning algorithms to classify both diseases, using social determinants of health data, and compared their results. Of them all, artificial neural networks gave the best results of 94.74% and 84.17% accuracy for malaria and anemia prediction, respectively. These results are consistent and reflect the significance of non-medical factors in disease prediction.
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http://dx.doi.org/10.1080/17538157.2019.1582056 | DOI Listing |
Nat Commun
January 2025
Centre for translational Medicine and Parasitology, Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Protective immunity to malaria depends on acquisition of parasite-specific antibodies, with Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) being one of the most important target antigens. The effector functions of PfEMP1-specific IgG include inhibition of infected erythrocyte (IE) sequestration and opsonization of IEs for cell-mediated destruction. IgG glycosylation modulates antibody functionality, with increased affinity to FcγRIIIa for IgG lacking fucose in the Fc region (Fc-afucosylation).
View Article and Find Full Text PDFWest Afr J Med
August 2024
Department of Haematology and Immunology, University of Nigeria Teaching Hospital Ituku-Ozalla, Enugu, Nigeria.
Background: There are reports of a high prevalence of maternal peripheral and placental malarial parasitaemia (MP) in southeastern Nigeria following the two-dose regimen of sulphadoxine-pyrimethamine (SP) for intermittent preventive treatment (IPT) of malaria in pregnancy.
Objective: To compare the effectiveness of monthly versus two-dose regimens of SP for IPT of malaria in pregnancy in Enugu, south-eastern Nigeria.
Methods: A randomized controlled trial involving antenatal clinic attendees at the University of Nigeria Teaching Hospital (UNTH), Ituku-Ozalla, Enugu, Nigeria.
Iran J Parasitol
January 2024
Department of Pre-Clinical, Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kuala Lumpur, Malaysia.
Background: The interplay of OGG1, 8-Oxoguanine, and oxidative stress triggers the exaggerated release of cytokines during malaria, which worsens the outcome of the disease. We aimed to investigate the involvement of OGG1 in malaria and assess the effect of modulating its activity on the cytokine environment and anemia during malaria in mice.
Methods: infection in ICR mice was used as a malaria model.
Iran J Parasitol
January 2024
Department of Internal Medicine, Marmara University Pendik Training and Research Hospital, Istanbul, Turkey.
In patients presenting with post-malarial anemia following intravenous artesunate treatment, post-artesunate delayed hemolysis should be considered in the differential diagnosis, even in endemic settings. Close monitoring for signs of delayed hemolysis in patients previously treated with intravenous artesunate for severe malaria, regardless of their malaria exposure history or geographic location is crucial.
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