A predictive model for rapid assessment of protective efficacyagainst emerging SARS-CoV-2 variants.

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Title: A predictive model for rapid assessment of protective efficacyagainst emerging SARS-CoV-2 variants.
Authors: Jin, Lairun1, Jia, Siyue2,3, Shao, Chengwei4, Shen, Ruifan5, Jin, Pengfei2,3 jpf19891103@163.com, Li, Jingxin2,3 jingxin42102209@126.com
Source: Infectious Disease Modelling (2468-2152). Sep2026, Vol. 11 Issue 3, p1022-1033. 12p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 194275338
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  Data: <searchLink fieldCode="JN" term="%22Infectious+Disease+Modelling+%282468-2152%29%22">Infectious Disease Modelling (2468-2152)</searchLink>. Sep2026, Vol. 11 Issue 3, p1022-1033. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194275338
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.idm.2026.03.003
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1022
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      – TitleFull: A predictive model for rapid assessment of protective efficacyagainst emerging SARS-CoV-2 variants.
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            NameFull: Jin, Lairun
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            NameFull: Jia, Siyue
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            NameFull: Shao, Chengwei
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            NameFull: Shen, Ruifan
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            NameFull: Jin, Pengfei
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            NameFull: Li, Jingxin
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            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 11
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