Evidence map›Paper›PMID 40832060›Full record

ArticleChina CDC weekly2025

Notified Vector-Borne Diseases - China, 2005-2024.

Qiyong Liu, Haoqiang Ji, Meng Shang

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. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Nasopharyngeal Swabs forPathogens (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. 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

3 authors.

Qiyong LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Haoqiang JiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Meng ShangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Vector-borne diseases (VBDs) represent a significant category of infectious diseases. Analyzing the epidemiological characteristics of VBDs in China, including their temporal and spatial distributions, provides essential evidence for developing effective prevention and control strategies. Methods: Data for 14 types of VBDs from 2005 to 2024 were obtained from the China National Infectious Disease Surveillance System. These diseases were categorized as mosquito-borne, tick-borne, rodent-borne, and other VBDs. Using the Mann-Kendall trend test, we analyzed demographic characteristics, spatial distribution, temporal trends, and seasonal patterns of notified cases over the 20-year period. Results: From 2005 to 2024, a total of 1,129,736 VBD cases were reported in China. Scrub typhus (28.17%), malaria (20.8%), hemorrhagic fever with renal syndrome (HFRS, 18.4%), dengue (12.61%), and schistosomiasis (8.42%) collectively accounted for 88.4% of all cases. Over a 20-year period, mosquito-borne and rodent-borne diseases indicated significant declining trends ( Conclusions: The burden of VBDs in China remains substantial, with an increasing trend observed over the past 5 years. The rising incidence and geographic expansion of scrub typhus, dengue, and SFTS warrant particular attention from public health authorities.

Indexed as

Demographic characteristicsSpatial distributionTemporal trendsVector-borne diseases

Identifiers

PMID40832060
PMCPMC12360307

What OpenQuestion holds

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Registered trials

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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.