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Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand
The objective of this article is to draw lessons from the Thai experience in estimating vaccine effectiveness (VE) for coronavirus disease 2019 (COVID-19) based on routine service data. We found that a matched case–control design, using probability-based controls representing the varying vaccine cov...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905277/ https://www.ncbi.nlm.nih.gov/pubmed/35264194 http://dx.doi.org/10.1186/s12961-022-00821-6 |
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author | Nittayasoot, Natthaprang Thammawijaya, Panithee Tharmaphornpilas, Piyanit Sansilapin, Chalo Jiraphongsa, Chuleeporn Suphanchaimat, Rapeepong |
author_facet | Nittayasoot, Natthaprang Thammawijaya, Panithee Tharmaphornpilas, Piyanit Sansilapin, Chalo Jiraphongsa, Chuleeporn Suphanchaimat, Rapeepong |
author_sort | Nittayasoot, Natthaprang |
collection | PubMed |
description | The objective of this article is to draw lessons from the Thai experience in estimating vaccine effectiveness (VE) for coronavirus disease 2019 (COVID-19) based on routine service data. We found that a matched case–control design, using probability-based controls representing the varying vaccine coverage across the population over time, yielded a valid result for VE assessment. The proposed design has an advantage in its applicability drawing from the routine data monitoring system. Future studies that exercise other designs, such as test-negative and cohort studies, are recommended in order to compare and contrast the findings across different designs. To implement a continuous monitoring system on VE, the integration of data from different sources is needed. This requires long-term investment in the data monitoring system for the entire healthcare system. |
format | Online Article Text |
id | pubmed-8905277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89052772022-03-09 Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand Nittayasoot, Natthaprang Thammawijaya, Panithee Tharmaphornpilas, Piyanit Sansilapin, Chalo Jiraphongsa, Chuleeporn Suphanchaimat, Rapeepong Health Res Policy Syst Commentary The objective of this article is to draw lessons from the Thai experience in estimating vaccine effectiveness (VE) for coronavirus disease 2019 (COVID-19) based on routine service data. We found that a matched case–control design, using probability-based controls representing the varying vaccine coverage across the population over time, yielded a valid result for VE assessment. The proposed design has an advantage in its applicability drawing from the routine data monitoring system. Future studies that exercise other designs, such as test-negative and cohort studies, are recommended in order to compare and contrast the findings across different designs. To implement a continuous monitoring system on VE, the integration of data from different sources is needed. This requires long-term investment in the data monitoring system for the entire healthcare system. BioMed Central 2022-03-09 /pmc/articles/PMC8905277/ /pubmed/35264194 http://dx.doi.org/10.1186/s12961-022-00821-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Commentary Nittayasoot, Natthaprang Thammawijaya, Panithee Tharmaphornpilas, Piyanit Sansilapin, Chalo Jiraphongsa, Chuleeporn Suphanchaimat, Rapeepong Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand |
title | Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand |
title_full | Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand |
title_fullStr | Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand |
title_full_unstemmed | Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand |
title_short | Rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (COVID-19) infection: lessons from Thailand |
title_sort | rapid method through routine data to evaluate real-world vaccine effectiveness against coronavirus disease 2019 (covid-19) infection: lessons from thailand |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905277/ https://www.ncbi.nlm.nih.gov/pubmed/35264194 http://dx.doi.org/10.1186/s12961-022-00821-6 |
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