Evidence map›Paper›PMID 39969547›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2025

[Monitoring vaccination coverage in Germany-current status and trends].

Thorsten Rieck, Cornelius Rau, Elisa Wulkotte, Marcel Feig, Constantin Fischer, Ole Wichmann, Annika Steffen

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 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

7 authors.

Thorsten RieckFachgebiet Impfprävention/STIKO, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Berlin, Deutschland, Seestr. 10, 13353. RieckT@rki.de.
Cornelius RauFachgebiet Impfprävention/STIKO, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Berlin, Deutschland, Seestr. 10, 13353.
Elisa WulkotteFachgebiet Impfprävention/STIKO, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Berlin, Deutschland, Seestr. 10, 13353.
Marcel FeigFachgebiet Fachdaten-Kompetenzzentrum, Abteilung für Methodenentwicklung, Forschungsinfrastruktur und Informationstechnologie, Robert Koch-Institut, Berlin, Deutschland, Seestr. 10, 13353.
Constantin FischerFachgebiet Fachdaten-Kompetenzzentrum, Abteilung für Methodenentwicklung, Forschungsinfrastruktur und Informationstechnologie, Robert Koch-Institut, Berlin, Deutschland, Seestr. 10, 13353.
Ole WichmannFachgebiet Impfprävention/STIKO, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Berlin, Deutschland, Seestr. 10, 13353.
Annika SteffenFachgebiet Impfprävention/STIKO, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Berlin, Deutschland, Seestr. 10, 13353.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely and reliable data on the vaccination status of the population are essential for the evaluation of vaccination programs. The analysis of school entry examination data and health claims data from the Associations of Statutory Health Insurance Physicians is the basis for monitoring the vaccination coverage in Germany. These two established and effective systems are supplemented by surveys among special target groups that can provide data on vaccination coverage, acceptance, and intention to be vaccinated.With the data from school entry examinations and health claims, vaccination coverage can only be reported with a delay of 1-2 years. Furthermore, the health claims data are incomplete due to the increasing diversification of vaccination service providers. The need for a complete and timely monitoring of the vaccination coverage during the COVID-19 pandemic revealed the limitations of these systems in an emergency situation. Therefore, the temporary Digital Immunization Monitoring (DIM) system for collecting COVID-19 vaccination data was established. With DIM, it was possible to collect COVID-19 vaccination data from all vaccination service providers on a daily basis.With the vision of timely and complete monitoring of vaccination coverage, the integration of vaccination data collection into the German Electronic Reporting and Information System for Infection Protection (DEMIS) is being developed as a uniform reporting infrastructure. In the future, DEMIS will be used to collect timely, pseudonymized, and individual-based vaccination data from all vaccination service providers. This will enable the evaluation of vaccination programs with little delay using complete and high-resolution data as well as the rapid adaptation of vaccination recommendations and communication strategies as needed.

Indexed as

COVID-19COVID-19 VaccinesVaccinationVaccination CoverageAdolescentChildGermanyHumansPandemicsSARS-CoV-2COVID-19 VaccinesData collectionHealth dataMonitoringVaccinationVaccination coverage

Identifiers

PMID39969547
PMCPMC11950009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.