Evidence map›Paper›PMID 40233926›Full record

ReviewVirulence2025

Alongshan virus: An emerging arboviral challenge in regional health security.

Meixi Ren, Zheng Pang, Yingxin Tu, Anan Wang, Tao Xu, Xiaoli Yu, Guoyu Niu

Abstract readReview
In one paragraph

Review in Virulence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

7 authors.

Meixi RenCollege of Life Sciences and Technology, Shandong Second Medical University, Weifang, China.
Zheng PangTianjin Customs Port Out-Patient Department, Tianjin International Travel Healthcare Center, Tianjin, China.
Yingxin TuCollege of Life Sciences and Technology, Shandong Second Medical University, Weifang, China.
Anan WangCollege of Life Sciences and Technology, Shandong Second Medical University, Weifang, China.
Tao XuCollege of Life Sciences and Technology, Shandong Second Medical University, Weifang, China.
Xiaoli YuCollege of Life Sciences and Technology, Shandong Second Medical University, Weifang, China.
Guoyu NiuCollege of Life Sciences and Technology, Shandong Second Medical University, Weifang, China.ORCID 0009-0003-2342-8464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Alongshan virus (ALSV), classified within the Flaviviridae family and belonging to the Jingmenvirus group, is a segmented RNA virus that was first identified in China in 2017. Since then, it has been reported in several Eurasian countries. Although no confirmed fatal cases have been documented, the potential public health risks associated with ALSV are significant and warrant serious attention. The emergence of ALSV has not only broadened the array of tick-borne diseases but has also enriched the research landscape surrounding segmented flaviviruses. Despite these advancements, our understanding of ALSV is still nascent, and its complex infection pathways remain largely unexplored. This review seeks to offer an in-depth examination of ALSV, addressing its biological properties, molecular features, epidemiological data, clinical presentations, and diagnostic methodologies. Our objective is to promote progress in the formulation of preventive, diagnostic, and therapeutic measures for this emerging segmented flavivirus.

Indexed as

Communicable Diseases, EmergingFlaviviridaeFlaviviridae InfectionsFlavivirusFlavivirus InfectionsAnimalsChinaHumansPublic HealthAlongshan virus (ALSV)jingmen tick virus (JMTV)segmented flavivirusticks

Identifiers

PMID40233926
PMCPMC12001551

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.