Jang, Yung-AnYung-AnJangWu, Hsiao-YuHsiao-YuWuHsu, Ya-TingYa-TingHsuChen, Yi-KaiYi-KaiChenChiou, Hung-YiHung-YiChiouSytwu, Huey-KangHuey-KangSytwuWEI J. CHENTsou, Hsiao-HuiHsiao-HuiTsou2024-02-262024-02-262024-0100917435https://scholars.lib.ntu.edu.tw/handle/123456789/639962Although the World Health Organization and many governments have recategorized COVID-19 as a generally mild to moderately severe disease, consecutive pandemic waves driven by immune escape variants have underscored the need for timely and accurate prediction of the next outbreak. Nevertheless, little attention has been paid to translating genomic data and infection- and vaccine-induced immunity into direct estimates.enCOVID-19; GEE; Genome surveillance multinational immunity; Omicron epidemic curves inferential[SDGs]SDG3Beyond the waves: Unraveling pandemic outcomes with genomic insights and immunity analysis - Evidence from 14 countriesjournal article10.1016/j.ypmed.2023.107820380923292-s2.0-85180578952https://api.elsevier.com/content/abstract/scopus_id/85180578952