Evidence map›Paper›PMID 42326936›Full record

ReviewFrontiers in public health2026

Confronting the known unknown: historical lessons and future strategies for Disease X.

Yunhui Xiang, Guokang Sun, Pinpin Xiang, Jiangtao Hu, Lvbo Tian, Qin Zhang, Junxian Wang, Chunbao Xie

Abstract readReview
In one paragraph

Review in Frontiers in public health, 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

8 authors.

Yunhui Xiang *Department of Laboratory Medicine and Port Epidemic Disease Monitoring Key Laboratory of Sichuan Province, Sichuan International Travel Healthcare Center (Port Clinic of Chengdu Customs), Chengdu, China.
Guokang Sun *Department of Laboratory Medicine, West China School of Public Health and West China Fourth Hospital of Sichuan University, Chengdu, China.
Pinpin XiangDepartment of Laboratory Medicine, Xiping Community Healthcare Center of Longquanyi District, Chengdu, China.
Jiangtao HuDepartment of Laboratory Medicine and Port Epidemic Disease Monitoring Key Laboratory of Sichuan Province, Sichuan International Travel Healthcare Center (Port Clinic of Chengdu Customs), Chengdu, China.
Lvbo TianDepartment of Laboratory Medicine and Port Epidemic Disease Monitoring Key Laboratory of Sichuan Province, Sichuan International Travel Healthcare Center (Port Clinic of Chengdu Customs), Chengdu, China.
Qin ZhangDepartment of Laboratory Medicine and Port Epidemic Disease Monitoring Key Laboratory of Sichuan Province, Sichuan International Travel Healthcare Center (Port Clinic of Chengdu Customs), Chengdu, China.
Junxian WangDepartment of Laboratory Medicine and Port Epidemic Disease Monitoring Key Laboratory of Sichuan Province, Sichuan International Travel Healthcare Center (Port Clinic of Chengdu Customs), Chengdu, China.
Chunbao XieDepartment of Laboratory Medicine and Genetic Diseases Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital and University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2026 outbreak of Nipah virus in West Bengal, India, a known WHO priority pathogen, serves as a timely reminder of the constant threat from high-consequence emerging diseases and underscores the critical relevance of Disease X-a future pandemic caused by an unknown pathogen. The profound global health and economic impact of COVID-19 has made the potential devastation of Disease X tangible. However, despite the insights gained from COVID-19, significant gaps remain in translating this awareness into an effective, coordinated, and pre-emptive preparedness strategy. This review advances an integrated response framework built around a One Health surveillance diagnostic therapeutic continuum. This foundational system enables real-time pathogen tracking and host immune profiling across human, animal, and environmental interfaces. Insights generated through this continuum directly inform the timely activation of non-pharmaceutical interventions, guide dynamic modeling, and enable the precise deployment of rapid medical countermeasures. Furthermore, these measures should be supported by resilient health infrastructure and equitable data sharing mechanisms, and be embedded within a governance model that prioritizes global collaboration and equity. Ultimately, mitigating Disease X requires a unified strategy that seamlessly integrates continuous monitoring, diagnostics, and treatment within a resilient and equitable operational architecture, thereby transforming pandemic preparedness from concept into reality.

Indexed as

COVID-19Henipavirus InfectionsPandemic PreparednessAnimalsHumansIndiaNipah VirusOne HealthPandemicsSARS-CoV-2Disease Xequitynon-pharmaceutical interventionpandemictherapyvaccinevirology

Identifiers

PMID42326936
PMCPMC13279526

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.