# Real-World Effectiveness of COVID-19 Vaccines (ChAdOx-1s, CoronaVac, BBIBP-CorV, mRNA-1273, and BNT162b2) in Jakarta: Protocol for Test-Negative Design of Health Care Data

**Authors:** Erlina Burhan, Farchan Azzumar, Fira Alyssa Gabriella Sinuraya, Muhammad Ilham Dhiya Rakasiwi, Ihya Akbar, Farhan Mubarak, Anggit Tresna Rengganis, Rizky Abi Rachmadi, Hera Afidjati

PMC · DOI: 10.2196/56519 · JMIR Research Protocols · 2025-04-10

## TL;DR

This study will assess how well different types of COVID-19 vaccines work in real-world conditions in Jakarta, focusing on their effectiveness against the Delta and Omicron variants.

## Contribution

This is the first study to evaluate multiple types of COVID-19 vaccines in Jakarta using real-world data during the Delta and Omicron waves.

## Key findings

- The study will use a test-negative design to assess vaccine effectiveness in a population of over 4 million people.
- It will evaluate the effectiveness of inactivated, viral-vector, and mRNA vaccines in a setting with social inequalities and healthcare constraints.
- Initial results are expected in 2025 and will inform future vaccination strategies in Jakarta.

## Abstract

ChAdOx-1s, CoronaVac, BBIBP-CorV, mRNA-1273, and BNT162b2 are the five common COVID-19 vaccines used in Jakarta. Randomized controlled trials have provided robust evidence of the safety and efficacy profile of these vaccines, but their real-world vaccine effectiveness against symptomatic COVID-19 and deaths in communities with social inequalities and health care constraints remains unclear.

This study aims to evaluate the real-world effectiveness of these COVID-19 vaccines during the waves associated with the Delta and Omicron variants by analyzing existing electronic health care sources.

A population-based study with a test-negative case-control design will be used to evaluate COVID-19 vaccine effectiveness in Jakarta, focusing on the Delta and Omicron waves. It includes adults 18 years and older who underwent reverse transcription polymerase chain reaction testing for symptomatic COVID-19, classifying them as cases or controls based on their test results. The analysis will consider multiple COVID-19 vaccines introduced during these periods, with participants categorized by vaccination status. Several potential confounders will be assessed, including demographic factors and comorbidities. Data will be linked from various health datasets, and statistical analyses will be performed to determine vaccine effectiveness and potential waning immunity over time. After data linkage, patients’ identities will be encrypted.

The research, funded from 2022 to 2024, involved proposal preparation and ethical review in 2023 and enrollment from early 2024 to July 2024, resulting in about 4 million linked data points. Data analysis is ongoing, with initial results expected for publication in early 2025.

This study will be the first to evaluate the effectiveness of different types of COVID-19 vaccines (inactivated, viral-vector, and mRNA) used in Jakarta during the pandemic, providing valuable scientific evidence to inform future vaccination strategies in the country.

DERR1-10.2196/56519

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** deaths (MESH:D003643), COVID-19 (MESH:D000086382)
- **Cell lines:** ChAdOx-1s — Mus musculus (Mouse), Hybridoma (CVCL_U609)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12022515/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12022515/full.md

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Source: https://tomesphere.com/paper/PMC12022515