Evidence map›Paper›PMID 40153131›Full record

ReviewFolia microbiologica2025

The next viral pandemic-where do we stand?

Rui Fan, Qun Liang, Yanbo Sui, Yang Yang, Xingxing Yuan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Folia microbiologica, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Rui FanGraduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Qun LiangDepartment of Critical Care Medicine, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, 150040, Heilongjiang, People's Republic of China. liangqun1@sina.com.ORCID http://orcid.org/0009-0009-9784-7024
Yanbo SuiDepartment of General Medicine, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Yang YangDepartment of Critical Care Medicine, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, 150040, Heilongjiang, People's Republic of China.
Xingxing YuanGraduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is presently undergoing a recovery phase following the unexpected challenges posed by the coronavirus disease 2019 (COVID-19) pandemic. The loss of lives and the economic setbacks experienced by the global population will require considerable time to address. It is clear that future outbreaks, epidemics, or even pandemic caused by unknown bacterial, fungal, or viral pathogens are inevitable. In this context, public health front-liners will be essential in minimizing the impact of such incidents. This mini-review briefly discusses sociocultural issues, diagnostic capacities, surveillance, and screening strategies for potential future viral pandemic - referred to as Pandemic X. Additionally, it addresses treatment responses, vaccine development efforts, scientific advancements, policy considerations, and prospects for science communication related to forthcoming viral pandemics. While this review does not encompass all scientific approaches available on these topics, it aims to serve as a guideline for informing public health sectors about appropriate measures that should be undertaken.

Indexed as

COVID-19PandemicsHumansPublic HealthSARS-CoV-2Frontline responseScience communicationVaccine developmentViral pandemic

Identifiers

What OpenQuestion holds

Textmetadata
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.