Evidence map›Paper›PMID 41333582›Full record

ArticleJugan geon-gang gwa jilbyeong2023

[Sentinel Surveillance Results for Influenza and Acute Respiratory Infections during the Coronavirus Disease 2019 Pandemic].

Jeongok Cha, Yejin Seo, Seulki Kang, Inho Kim, Jin Gwack

Abstract readCase ReportsEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Journal of Korean medical science · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

5 authors.

Jeongok ChaDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Yejin SeoDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Seulki KangDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Inho KimDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Jin GwackDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a result of sentinel surveillance for outpatients influenza-like illness (ILI), seasonal influenza activity remains below national baseline from 13 weeks of 2020 to 8 weeks of 2023 and Inpatient surveillance results for acute respiratory infections has decreased by less than half compared to pre-coronavirus disease 2019 (COVID-19) pandemic. In the 2022-2023 season, the weekly ILI rate was above the national baseline of 4.9 per 1,000 outpatients and flu activity increased early in the 37th week of 2022. The number of hospitalized patients for parainfluenza virus infection increased rapidly from August to October 2021 and for human metapneumovirus infection have been slightly increasing after October 2022. These unusual patterns of respiratory viruses are presumed to be due to the ease of COVID-19 related social distancing and control measures.

Indexed as

Acute respiratory infectionsCoronavirus disease 2019 pandemicInfluenzaSentinel surveillance

Identifiers

PMID41333582
PMCPMC12480361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.