Evidence map›Paper›PMID 40978070›Full record

ArticleChina CDC weekly2025

Analysis on Cross-Species Transmission of Human-Suidae Zoonotic Viruses - Global, 1882-2022.

Mingchen Zhao, Xuechun Wang, Erri Du, Qiang Wang, Tao Li, Lifeng Zhang, Zhongwei Jia

Abstract read
In one paragraph

Article in China CDC weekly, 2025. 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

7 authors.

Mingchen ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Xuechun WangGraduate School of Chinese PLA General Hospital, Beijing, China.
Erri DuSILC Business School, Shanghai University, Shanghai, China.
Qiang WangGoodwill Hessian Health Technology Co., Ltd., Beijing, China.
Tao LiNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Lifeng ZhangDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Zhongwei JiaDepartment of Global Health, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Zoonotic diseases, particularly those caused by viruses capable of cross-species transmission, represent a significant threat to global public health security. Suidae have been recognized as critical intermediate hosts in numerous zoonotic virus transmission pathways. However, previous research has predominantly concentrated on individual viruses or isolated outbreaks, thereby constraining our comprehensive understanding of broader cross-species transmission patterns and risk factors. What is added by this report?: This study systematically investigates cross-species transmission patterns of Suidae-related zoonotic viruses using comprehensive data from public databases, including the National Center for Biotechnology Information (NCBI). Through the integration of viral characteristics, host factors, environmental variables, and anthropogenic influences, we constructed predictive models to identify transmission hotspots and assess potential cross-species events. The research provides a comprehensive, data-driven framework for understanding zoonotic virus dynamics on a global scale. What are the implications for public health practice?: These findings provide robust theoretical foundations and practical tools for early warning systems and targeted prevention strategies for zoonotic diseases, particularly those involving Suidae as intermediate hosts. This research advances the One Health approach by elucidating the interconnected roles of humans, animals, and environmental factors in viral transmission dynamics, thereby informing evidence-based global surveillance and response strategies for pandemic preparedness.

Indexed as

BiostatisticsEpidemiologyGlobal HealthPrevention and Control of Infectious DiseasesPublic Health

Identifiers

PMID40978070
PMCPMC12446370

What OpenQuestion holds

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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.