Evidence map›Paper›PMID 39384836›Full record

ArticleNature communications2024

Multi-scenario surveillance of respiratory viruses in aerosols with sub-single-copy spatial resolution.

Bao Li, Baobao Lin, Yan Wang, Ye Shi, Wu Zeng, Yulan Zhao, Yin Gu, Chang Liu, Hui Gao, Hao Cheng and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2024. 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.

  1. Article
  2. Machine-Learning Microfluidic Minute-Scale Microorganism Metrics Monitoring(M6).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Early Warning Signs for Monitoring Airborne Respiratory Virus Transmission.International journal of environmental research and public health · 2025
    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

14 authors.

Bao Li *School of Biomedical Engineering, Tsinghua University, Beijing, China.
Baobao Lin *School of Biomedical Engineering, Tsinghua University, Beijing, China.
Yan Wang *Department of Infectious Diseases, Peking University First Hospital, Beijing, China.
Ye Shi *School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Zhejiang, China.
Wu ZengSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Yulan ZhaoChangping Laboratory, Beijing, China.
Yin GuState Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, China.
Chang LiuSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Hui GaoDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Hao ChengDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Xiaoqun ZhengSchool of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Zhejiang, China.
Guangxin XiangSchool of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Zhejiang, China. xiangguangxinwmu@qq.com.ORCID 0009-0007-2703-9035
Guiqiang WangDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China. john131212@126.com.
Peng LiuSchool of Biomedical Engineering, Tsinghua University, Beijing, China. pliu@tsinghua.edu.cn.ORCID 0000-0003-3000-3168

Funding

National Natural Science Foundation of China (National Science Foundation of China) Grant No. 32001021
6 · The paper itself

Abstract

Highly sensitive airborne virus monitoring is critical for preventing and containing epidemics. However, the detection of airborne viruses at ultra-low concentrations remains challenging due to the lack of ultra-sensitive methods and easy-to-deployment equipment. Here, we present an integrated microfluidic cartridge that can accurately detect SARS-COV-2, Influenza A, B, and respiratory syncytial virus with a sensitivity of 10 copies/mL. When integrated with a high-flow aerosol sampler, our microdevice can achieve a sub-single-copy spatial resolution of 0.83 copies/m

Indexed as

AerosolsCOVID-19SARS-CoV-2Air MicrobiologyEnvironmental MonitoringHumansInfluenza A virusInfluenza B virusRespiratory Syncytial VirusesAerosols

Identifiers

PMID39384836
PMCPMC11464689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.