Prediksi Kompleksitas Mutasi Virus Influenza dalam Pengembangan Vaksin yang Efektif untuk Anak
Analisis
DOI:
https://doi.org/10.55175/cdk.v52i6.1659Kata Kunci:
Influenza, mutasi virus, vaksinAbstrak
Infeksi virus influenza umum terjadi pada populasi segala usia. Vaksinasi merupakan tindakan paling efektif untuk mencegah infeksi. Akan tetapi, virus influenza dapat melakukan antigenic drift yang menyebabkan virus dapat bermutasi dalam hitungan bulan.Oleh karena itu, prediksi evolusi virus influenza berperan penting dalam memastikan efek perlindungan vaksin agar dapat memilih jenis vaksin yang tepat. Stacking model, convolutional neural network (CNN) model, Gaussian processes vector autoregressive, dan susceptible-exposed-infectious-removed (SEIR) model dapat digunakan untuk memprediksi varian antigenik virus influenza. Berbagai model dan pendekatan modern telah digunakan untuk meningkatkan efikasi dan relevansi strategi vaksinasi, seperti influenza antigenic variants (IAV)-CNN model, sequence-based antigenic distance approach (SBA), dan ensemble of nonlinear regression models.
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Referensi
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