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1 Ergebnisse
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Binary logistic regression analysis between demographic fac..:
Abialbon G. Francisco
;
John Carlo B. Reyes
;
Ian Kim B. Tabios
...
doi:10.1371/journal.pone.0293046.t003. , 2023
Link:
https://doi.org/10.1371/journal.pone.0293046.t003
RT Journal T1
Binary logistic regression analysis between demographic factors and two outcomes, HAdV-5 seropositivity and having high titers against HAdV-5 NAb (N = 391)
UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_24713843&Exemplar=1&LAN=DE A1 Abialbon G. Francisco A1 John Carlo B. Reyes A1 Ian Kim B. Tabios A1 Criselda Jean G. Cruz A1 Mark Angelo C. Ang A1 Francisco M. Heralde III A1 Azita Racquel G. Lacuna A1 Sheriah Laine M. de Paz-Silava YR 2023 K1 Microbiology K1 Molecular Biology K1 Immunology K1 Cancer K1 Science Policy K1 Infectious Diseases K1 Virology K1 Computational Biology K1 Space Science K1 Biological Sciences not elsewhere classified K1 potential negative effects K1 good safety profile K1 based neutralization assay K1 vector vaccines due K1 existing neutralizing antibodies K1 reduce vaccine efficacy K1 highest seroprevalence rate K1 hadv ) K1 particularly K1 hadv type 5 K1 philippines </ p K1 existing hadv K1 adenoviral vector K1 5 ) K1 existing immunity K1 vaccination programs K1 significant number K1 rural regions K1 regions included K1 region v K1 main challenges K1 high titers K1 high immunogenicity K1 findings show K1 extensively utilized K1 booster doses K1 boost regimen K1 8 %) K1 5 vectors K1 5 immunity K1 391 plasma K1 1 %) JF doi:10.1371/journal.pone.0293046.t003 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0293046.t003 DO https://doi.org/10.1371/journal.pone.0293046.t003 SF ELIB - SuUB Bremen
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