Evidence map›Paper›PMID 35433082›Full record

ArticleChina CDC weekly2022

Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories.

Xin Lu, Yao Peng, Yuanyuan Geng, Hongqun Zhao, Xiaona Shen, Dongmei Li, Zhenpeng Li, Liang Lu, Mengguang Fan, Wenbin Xu and 4 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2022. 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
0.8field-weighted citation impact, top 29% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. Article
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 at 1 institution in 1 country.

Xin LuState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yao PengState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuanyuan GengState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hongqun ZhaoState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaona ShenState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Dongmei LiState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhenpeng LiState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Liang LuState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Mengguang FanGeneral Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhhot City, Inner Mongolia Autonomous Region, China.
Wenbin XuSiziwang Banner Center for Disease Control and Prevention, Huhhot City, Inner Mongolia Autonomous Region, China.
Jin WangSiziwang Banner Center for Disease Control and Prevention, Huhhot City, Inner Mongolia Autonomous Region, China.
Lianxu XiaState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhongbing ZhangGeneral Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhhot City, Inner Mongolia Autonomous Region, China.
Biao KanState Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Accurate etiological detection is needed to evaluate the risk of zoonotic diseases. Metagenomic next-generation sequencing (mNGS) can be used to monitor pathogens in animal species and identify potential zoonotic threats. The current sampling model for zoonotic pathogen monitoring in wild animals requires samples to be transferred from the field to a laboratory for further detection. Methods: We constructed a zoonotic pathogen survey model using a set of mobile laboratories. Results: The monitoring in this study was preplanned to detect Discussion: Using this mNGS technique will enable detection of more zoonotic pathogens beyond the preplanned monitoring targets. This may increase the surveillance efficiency compared with that of the previous workflow and expand the application of the mobile laboratories for infectious diseases identification and surveillance in the field.

Indexed as

Metagenomic next-generation sequencingMobile laboratorySurveillanceZoonosis

Identifiers

PMID35433082
PMCPMC9005490
OpenAlexW4220785300

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.