Evidence map›Paper›PMID 39346690›Full record

ArticleChina CDC weekly2024

Comparison of Three Influenza Surveillance Data Sources for Timely Detection of Epidemic Onset - Chengdu City, Sichuan Province and Beijing Municipality, China, 2017-2023.

Mingyue Pan, Ying Shen, Yao Wang, Lu Long, Xunbo Du, Ying Sun, Daitao Zhang, Hui Yao, Yonghong Liu, Peng Yang and 3 more

Abstract read
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Mingyue PanBeijing Center for Disease Prevention and Control, Beijing, China.
Ying ShenBeijing Center for Disease Prevention and Control, Beijing, China.
Yao WangChengdu Center for Disease Control and Prevention, Chengdu City, Sichuan Province, China.
Lu LongChengdu Center for Disease Control and Prevention, Chengdu City, Sichuan Province, China.
Xunbo DuChengdu Center for Disease Control and Prevention, Chengdu City, Sichuan Province, China.
Ying SunBeijing Center for Disease Prevention and Control, Beijing, China.
Daitao ZhangBeijing Center for Disease Prevention and Control, Beijing, China.
Hui YaoBeijing Center for Disease Prevention and Control, Beijing, China.
Yonghong LiuBeijing Center for Disease Prevention and Control, Beijing, China.
Peng YangBeijing Center for Disease Prevention and Control, Beijing, China.
Quanyi WangBeijing Center for Disease Prevention and Control, Beijing, China.
Xiaoli WangBeijing Center for Disease Prevention and Control, Beijing, China.
Liang WangChengdu Center for Disease Control and Prevention, Chengdu City, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: The syndromic surveillance system, exemplified by the influenza-like illness (ILI) surveillance system, has long been crucial in providing early warnings of influenza epidemics. What is added by this report?: The analysis revealed that employing reported influenza case data from the nationwide Notifiable Infectious Diseases Reporting Information System (NIDRIS) enhanced the early detection of influenza epidemics, particularly within the context of multiple respiratory pathogens circulating concurrently. What are the implications for public health practice?: The NIDRIS, characterized by its extensive coverage, obligatory reporting, high specificity, and real-time data transmission, offers a valuable tool for the effective early detection of influenza epidemics. Utilizing this system could enhance preparedness and responses to such health crises, potentially mitigating their impact on public health.

Indexed as

early warninginfluenzainfluenza-like illnessmulti-pathogen

Identifiers

PMID39346690
PMCPMC11425297

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.