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Updated: Feb 17, 2026

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
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人口レベルのサイクル値に基づいてSARS-CoV-2の伝播ダイナミクスの予測: 流行伝播と機械学習モデリングの研究

Afraz Arif Khan1, Hind Sbihi1, Michael A Irvine1

  • 1BC Centre for Disease Control, Vancouver, Canada.

eLife
|February 16, 2026
PubMed
まとめ

ポリメラーゼ連鎖反応 (PCR) サイクル値 (Ct) を用いた流行伝播モデリングと機械学習 (ML) は,重症急性呼吸器症候群コロナウイルス2型 (SARS-CoV-2) の発生率と伝播可能性を正確に予測しました.

キーワード:
エピデミオロジー エピデミオロジーグローバル・ヘルス グローバル・ヘルス誰もいない,誰もいない.

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