Time-dependent vaccine efficacy estimation quantified by a mathematical model.
In this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothe...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0285466 |
| _version_ | 1797802644390019072 |
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| author | Jennifer Loria Vinicius V L Albani Francisco A B Coutinho Dimas T Covas Claudio J Struchiner Jorge P Zubelli Eduardo Massad |
| author_facet | Jennifer Loria Vinicius V L Albani Francisco A B Coutinho Dimas T Covas Claudio J Struchiner Jorge P Zubelli Eduardo Massad |
| author_sort | Jennifer Loria |
| collection | DOAJ |
| description | In this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothesis that the time difference between the moment the CT begins and the peak in the outbreak intensity determines substantially different values for VE. We exemplify the method with the case of the VE efficacy estimation for one of the vaccines against the new coronavirus SARS-CoV-2. |
| first_indexed | 2024-03-13T05:08:49Z |
| format | Article |
| id | doaj.art-523a3f375e59437193d357adad50a037 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-13T05:08:49Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-523a3f375e59437193d357adad50a0372023-06-16T05:31:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01185e028546610.1371/journal.pone.0285466Time-dependent vaccine efficacy estimation quantified by a mathematical model.Jennifer LoriaVinicius V L AlbaniFrancisco A B CoutinhoDimas T CovasClaudio J StruchinerJorge P ZubelliEduardo MassadIn this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothesis that the time difference between the moment the CT begins and the peak in the outbreak intensity determines substantially different values for VE. We exemplify the method with the case of the VE efficacy estimation for one of the vaccines against the new coronavirus SARS-CoV-2.https://doi.org/10.1371/journal.pone.0285466 |
| spellingShingle | Jennifer Loria Vinicius V L Albani Francisco A B Coutinho Dimas T Covas Claudio J Struchiner Jorge P Zubelli Eduardo Massad Time-dependent vaccine efficacy estimation quantified by a mathematical model. PLoS ONE |
| title | Time-dependent vaccine efficacy estimation quantified by a mathematical model. |
| title_full | Time-dependent vaccine efficacy estimation quantified by a mathematical model. |
| title_fullStr | Time-dependent vaccine efficacy estimation quantified by a mathematical model. |
| title_full_unstemmed | Time-dependent vaccine efficacy estimation quantified by a mathematical model. |
| title_short | Time-dependent vaccine efficacy estimation quantified by a mathematical model. |
| title_sort | time dependent vaccine efficacy estimation quantified by a mathematical model |
| url | https://doi.org/10.1371/journal.pone.0285466 |
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