Evidence map›Paper›PMID 40376444›Full record

ArticleChina CDC weekly2025

Changing Patterns of Epidemiological Characteristics and Spatial-Temporal Clusters of Human Brucellosis Based on County Level - China, 2011-2023.

Shijian Zhou, Huijie Qin, Qingnan Shi, Sihan Li, Junyuan Chen, Qiulan Chen

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.

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  6. [Evaluation of Gradient-Variant Quantum Dot Fluorescence Technology for Rapid Detection ofSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
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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

6 authors.

Shijian ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Huijie QinSchool of Public Health, Guangxi Medical University, Nanning City, Guangxi Zhuang Autonomous Region, China.
Qingnan ShiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Sihan LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Junyuan ChenSchool of Public Health, Guangxi Medical University, Nanning City, Guangxi Zhuang Autonomous Region, China.
Qiulan ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Human brucellosis persists as a critical public health challenge in China. Understanding disease clusters and trends is essential for implementing effective control strategies. This study evaluates the epidemiological characteristics and spatiotemporal distribution of brucellosis in China from 2011 to 2023. Methods: Data were obtained from the National Notifiable Disease Reporting System (NNDRS). We conducted descriptive epidemiological analyses and employed SaTScan10.1 and ArcGIS10.7 software to identify disease clusters and generate county (district)-level incidence maps. Results: The incidence of human brucellosis in Chinese mainland increased substantially between 2011 and 2023, rising from 38,151 cases (2.8/100,000) across 834 counties (25.4%) to 70,439 cases (5.2/100,000) across 2,290 counties (76.9%). A significant upward trend in reported incidence emerged during 2018-2023 (average annual percentage change (AAPC)=14.9%, Conclusions: The human brucellosis epidemic in China continues to intensify, characterized by rebounding incidence rates and broader geographical distribution across counties (districts). While spatiotemporal clusters remain predominantly centered in Inner Mongolia and neighboring regions, targeted interventions and increased resource allocation for high-risk areas and populations are imperative.

Indexed as

BrucellosisEpidemiological CharacteristicsSpatial-temporal ClustersSurveillance

Identifiers

PMID40376444
PMCPMC12075457

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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.