Evidence map›Paper›PMID 42731067›Full record

ArticleEmerging microbes & infections2026

Establishment and application of a multiplex qPCR panel for multi-host surveillance of tick-Borne pathogens.

Jing Li, Zhen Wang, Jing Li, Xinting Meng, Jiaxun Zhang, Wenjin Mao, Yan Hai, Ying Zhang, Xiangxiang Sun, Jin Che and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Emerging microbes & infections, 2026. 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

14 authors.

Jing LiSchool of Public Health, Qingdao University, Shandong, People's Republic of China.
Zhen WangSchool of Public Health, Qingdao University, Shandong, People's Republic of China.
Jing LiDepartment of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China.
Xinting MengSchool of Public Health, Qingdao University, Shandong, People's Republic of China.
Jiaxun ZhangSchool of Public Health, Qingdao University, Shandong, People's Republic of China.
Wenjin MaoSchool of Public Health, Qingdao University, Shandong, People's Republic of China.
Yan HaiDepartment of Biosafety, General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Hohhot City, People's Republic of China.
Ying ZhangDepartment of Vector-Borne Disease, Center for Disease Control and Prevention of Xilingol League, Xilinhaote, People's Republic of China.
Xiangxiang SunKey Laboratory of Animal Tuberculosis, Ministry of Agriculture and Rural Affairs (Reference Laboratory for Animal Tuberculosis), China Animal Health and Epidemiology Center, Qingdao, People's Republic of China.
Jin CheState Key Laboratory for Animal Disease Control and Prevention, Key Laboratory of Veterinary Parasitology of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou Veterinary Research Institute, Gansu, People's Republic of China.
Xiaofang MaInstitute of Disinfection and Vector Control, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China.
Biao DuanPlague Prevention and Control Division, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, People's Republic of China.
Aiping QinDepartment of Respiratory Disease, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Jie LiuSchool of Public Health, Qingdao University, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tick-borne diseases pose significant public health threats. Non-specific symptoms and co-infections present diagnostic challenges for conventional methods. To address this, we developed the tick-borne pathogen (TBP) Panel, utilizing eight separate multiplex qPCR assays to simultaneously detect 25 TBPs (7 bacteria, 14 viruses, 4 parasites). Optimal Quantification Cycle (Cq) cut-offs were established using nested/semi-nested PCR amplicon sequencing, and digital PCR as reference standards. The Panel was then deployed for screening 2,333 ticks, 59 rodents, and 553 febrile patients. The Panel demonstrated robust analytical performance, achieving limits of detection (LOD

Indexed as

BacteriaMultiplex Polymerase Chain ReactionTick-Borne DiseasesTicksAnimalsHumansRodentiaSensitivity and SpecificityVirusesMultiplex qPCR, tick-borne pathogen, epidemiological surveillance, acute febrile illness, molecular diagnosis

Identifiers

PMID42731067
PMCPMC13573549

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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.