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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.
Nittayasoot, Natthaprang; Thammawijaya, Panithee; Tharmaphornpilas, Piyanit; Sansilapin, Chalo; Jiraphongsa, Chuleeporn; Suphanchaimat, Rapeepong.
  • Nittayasoot N; Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
  • Thammawijaya P; Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
  • Tharmaphornpilas P; Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
  • Sansilapin C; Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
  • Jiraphongsa C; Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand.
  • Suphanchaimat R; Department of Disease Control, Ministry of Public Health, Nonthaburi, 11000, Thailand. rapeepong@ihpp.thaigov.net.
Health Res Policy Syst ; 20(1): 29, 2022 Mar 09.
Article in English | MEDLINE | ID: covidwho-1736423
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Health Res Policy Syst Year: 2022 Document Type: Article Affiliation country: S12961-022-00821-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Health Res Policy Syst Year: 2022 Document Type: Article Affiliation country: S12961-022-00821-6