Evidence map›Paper›PMID 40620293›Full record

ArticleChina CDC weekly2025

Assessment of Disinfection Efficacy on Bacterial Contamination of Hospital Surfaces - China, 2007-2022.

Baoying Zhang, Hongyang Duan, Jiaqi Wang, Liubo Zhang, Jin Shen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2025. 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

5 authors.

Baoying ZhangChina CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Hongyang DuanChina CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiaqi WangPeking University People's Hospital, Beijing, China.
Liubo ZhangNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jin ShenChina CDC Key Laboratory of Environment and Population Health, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The study aims to monitor the dynamics of bacterial contamination on hospital surfaces and assess the effectiveness of disinfection procedures for controlling bacterial contamination in hospitals and protecting patient safety. Methods: This survey was conducted in sentinel hospitals across 31 provincial-level administrative divisions (PLADs) in China from 2007 to 2022. Surface samples were collected from each site before and after disinfection. Bacterial concentrations were measured using the pour plate method, while pathogenic bacteria were isolated and identified using selective media. Results: The overall qualified rate for total plate count was 85.7% (41,474/48,367). Pathogenic bacteria were detected in 577 (5.2%) of the 14,665 samples. Significant differences were observed in the qualified rate of total plate count ( Conclusions: Routine disinfection significantly reduces microbial contamination levels on hospital surfaces. Microbiological monitoring of hospital surfaces is a valuable tool for assessing environmental contamination and the effectiveness of disinfection procedures.

Indexed as

bacterial contaminationdisinfection efficacyenvironmental surfacehospital

Identifiers

PMID40620293
PMCPMC12228076

What OpenQuestion holds

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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.