Evidence map›Paper›PMID 42904068›Full record

ArticlehLife2024

Impact of COVID-19-related nonpharmaceutical interventions on diarrheal diseases and zoonotic

Linlin Huang, Haiyang Zhou, Jiaqi Chen, Chenghao Jia, Abubakar Siddique, Beibei Wu, Haoqiu Wang, Biao Tang, Fang He, Guoping Zhao and 1 more

Abstract read
In one paragraph

Article in hLife, 2024. 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

11 authors.

Linlin HuangDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Zhejiang, China.
Haiyang ZhouDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Zhejiang, China.
Jiaqi ChenDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Zhejiang, China.
Chenghao JiaDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Zhejiang, China.
Abubakar SiddiqueDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Zhejiang, China.
Beibei WuZhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.
Haoqiu WangHangzhou Center for Disease Control and Prevention, Zhejiang, China.
Biao TangKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Zhejiang, China.
Fang HeDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Zhejiang, China.
Guoping ZhaoKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Zhejiang, China.
Min YueDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-pharmaceutical interventions (NPIs) have been proven effective in reducing the spread of the coronavirus disease 2019 (COVID-19), but their broader impact on gastrointestinal disorders remains poorly studied. Here, we report an observational analysis and retrospective study that compares the incidence of acute diarrheal diseases in Hangzhou, Zhejiang, China, between 2019 and 2020, with an examination of the antimicrobial resistance and genetic spectrum of non-typhoidal

Indexed as

coronavirus disease 2019 (COVID-19)non-pharmaceutical interventions (NPIs)non-typhoidal Salmonella (NTS)zoonotic transmission

Identifiers

PMID42904068
PMCPMC13681695

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.