Evidence map›Paper›PMID 41993771›Full record

ArticleOne health (Amsterdam, Netherlands)2026

One health perspectives on the epidemiological features and changing incidence of natural focus and vector-borne infectious diseases in China: An observational trend study.

Pei-Ying Peng, Lei Xu, Hui-Ying Duan, Jiao Dai, Li-Juan Ma, Ya Zu, Ting-Liang Yan

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Pei-Ying PengInstitute of Microbiology, Qujing Medical college, Qujing 655100, Yunnan Province, China.
Lei XuInstitute of Microbiology, Qujing Medical college, Qujing 655100, Yunnan Province, China.
Hui-Ying DuanInstitute of Microbiology, Qujing Medical college, Qujing 655100, Yunnan Province, China.
Jiao DaiInstitute of Microbiology, Qujing Medical college, Qujing 655100, Yunnan Province, China.
Li-Juan MaDepartment of Clinical Laboratory, Qujing Second People's Hospital, Qujing 655011, Yunnan Province, China.
Ya ZuDepartment of Clinical Laboratory, Qujing Second People's Hospital, Qujing 655011, Yunnan Province, China.
Ting-Liang YanInstitute of Microbiology, Qujing Medical college, Qujing 655100, Yunnan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Natural focus and vector-borne infectious diseases (NVBDs) pose serious public health challenges in China, involving complex interactions among zoonotic reservoirs, arthropod vectors, and environmental factors that underscore the need for integrated One Health approaches. This study aims to evaluate incidence and mortality trends of 11 Category A and B NVBDs from 2004 to 2020 and assess prevention strategy effectiveness. Methods: Using data from the China Information System for Disease Control and Prevention covering 31 provinces, we analyzed 1,344,214 cases with standardized Joinpoint regression, integrating ecological and animal reservoir data where available to identify drivers across human-animal-environment interfaces. Results: Average annual incidence was 5.599 per 100,000, with brucellosis (2.567), malaria (1.084), and hemorrhagic fever (HFRS) (0.866) accounting for 80.68% of cases. Geographic and temporal patterns revealed key One Health drivers: livestock density correlated with brucellosis ( Conclusions: Brucellosis, malaria, hemorrhagic fever caused 80.7% of cases; rabies/avian influenza CFRs >600/1000. Elderly male brucellosis +8.9%, child vaccine-preventable diseases -62%. Southwestern provinces had fatality from limited healthcare. Livestock density (71%), climate anomalies (78.4%), and rodent indices (73%) explained risk variation. Policy: (1) synchronizing veterinary vaccination with human PEP for elderly pastoralists; (2) vector-index warnings in border regions; (3) enhance southwestern critical care; (4) integrate One Health indicators into surveillance.

Indexed as

ChinaEpidemiologyIncidence trendsJoinpoint regressionNatural focus diseasesVector-borne infections

Identifiers

PMID41993771
PMCPMC13080507

What OpenQuestion holds

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LicenceCC BY
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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.