Evidence map›Paper›PMID 39902869›Full record

ArticleJMIR research protocols2025

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.

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

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Erlina BurhanDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine Universitas Indonesia-Persahabatan Hospital, Jakarta, Indonesia.ORCID 0000-0002-8115-8293
Farchan AzzumarRespiratory Programmatic Implementation and Research Institute, Jakarta, Indonesia.ORCID 0009-0007-0327-4399
Fira Alyssa Gabriella SinurayaRespiratory Programmatic Implementation and Research Institute, Jakarta, Indonesia.ORCID 0000-0002-5935-8870
Muhammad Ilham Dhiya RakasiwiRespiratory Programmatic Implementation and Research Institute, Jakarta, Indonesia.ORCID 0000-0001-8868-1004
Ihya AkbarRespiratory Programmatic Implementation and Research Institute, Jakarta, Indonesia.ORCID 0009-0007-9407-982X
Farhan MubarakDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine Universitas Indonesia-Persahabatan Hospital, Jakarta, Indonesia.ORCID 0009-0004-5737-7543
Anggit Tresna RengganisRespiratory Programmatic Implementation and Research Institute, Jakarta, Indonesia.ORCID 0009-0000-2285-9463
Rizky Abi RachmadiRespiratory Programmatic Implementation and Research Institute, Jakarta, Indonesia.ORCID 0000-0003-4356-1222
Hera AfidjatiRespiratory Programmatic Implementation and Research Institute, Jakarta, Indonesia.ORCID 0009-0007-9748-3545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChAdOx-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.

objectiveThis 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.

methodsA 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.

resultsThe 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.

conclusionsThis 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. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56519.

Indexed as

COVID-19COVID-19 VaccinesVaccine Efficacy2019-nCoV Vaccine mRNA-1273AdultBNT162 VaccineCase-Control StudiesChAdOx1 nCoV-19FemaleHumansMaleMiddle AgedResearch DesignSARS-CoV-2Vaccines, Inactivated2019-nCoV Vaccine mRNA-1273BIBP COVID-19 vaccineBNT162 VaccineChAdOx1 nCoV-19COVID-19 Vaccinessinovac COVID-19 vaccineVaccines, InactivatedCOVID-19DeltaOmicronprotocolvaccinevaccine effectiveness

Identifiers

PMID39902869
PMCPMC12022515

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.