Evidence map›Paper›PMID 36927716›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2023

Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023.

Li Zhang, Yi Zhang, Wei Duan, Shuangsheng Wu, Ying Sun, Chunna Ma, Quanyi Wang, Daitao Zhang, Peng Yang

Full text read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Li ZhangBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.
Yi ZhangGeneral Administration of Customs (Beijing) International Travel Health Care Center, Dongcheng District, Beijing, China.
Wei DuanBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.
Shuangsheng WuBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.
Ying SunBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.
Chunna MaBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.
Quanyi WangBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.
Daitao ZhangBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.
Peng YangBeijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-CoV-2 infections was 392/100,000 population in Beijing during the 5 weeks following policy adjustment. No notable change occurred after the Spring Festival in early February. The multiplier model provides an opportunity for assessing the actual COVID-19 situation.

Indexed as

COVID-19Influenza, HumanBeijingChinaHumansSARS-CoV-2COVID-19Multiplier modelSARS-CoV-2Surveillance

Identifiers

PMID36927716
PMCPMC10021470

What OpenQuestion holds

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Registered trials

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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.