Evidence map›Paper›PMID 40144964›Full record

ArticleGHM open2024

Validity of vaccination information in the COVID-19 surveillance system in Japan: Implications for developing efficient and highly valid data collection systems in future pandemics.

Yuki Horie, Chieko Ishiguro, Wataru Mimura, Megumi Maeda, Fumiko Murata, Haruhisa Fukuda

Abstract read
In one paragraph

Article in GHM open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
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

6 authors.

Yuki HorieSection of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Chieko Ishiguro *Section of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Wataru Mimura *Section of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Megumi MaedaDepartment of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Fumiko MurataDepartment of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Haruhisa FukudaDepartment of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japan's government developed the Health Center Real-time Information-sharing System on COVID-19 (HER-SYS), the national COVID-19 surveillance system, which relies on manual data entry. Following the COVID-19 vaccination campaign, physicians were mandated to report COVID-19 cases with vaccination history

Indexed as

COVID-19linkagesurveillance systemvaccinevalidation

Identifiers

PMID40144964
PMCPMC11933969

What OpenQuestion holds

Textmetadata
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.