Evidence map›Paper›PMID 40739204›Full record

ArticleBMC public health2025

Prevalence and Spatial distribution characteristics of human echinococcosis in Ningxia Hui Autonomous Region, 2011-2023.

Hongju Duan, Xianglin Wu, Fan Wang, Qianqian Cui, Xueping Ma, Liying Wang

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hongju DuanNingxia Hui Autonomous Region Center for Diseases Control and Prevention, Yinchuan, China.
Xianglin WuNingxia Hui Autonomous Region Center for Diseases Control and Prevention, Yinchuan, China.
Fan WangPeking University First Hospital Ningxia Women and Children's Hospital (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Yinchuan, China.
Qianqian CuiSchool of Mathematics and Statistics, Ningxia University, Yinchuan, Ningxia, China.
Xueping MaNingxia Hui Autonomous Region Center for Diseases Control and Prevention, Yinchuan, China. xpma0823@163.com.
Liying WangNational Institute of Parasitic Diseases, Chinese Centre for Disease Control and Prevention (Chinese Centre for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Centre for International Research on Tropical Diseases, Shanghai, China. wangliyingcdc@163.com.

Funding

Ningxia Hui Autonomous Region Young Top-Notch Talents Cultivation Project Project No.: RQ0049
6 · The paper itself

Abstract

backgroundEchinococcosis is a zoonotic parasitic disease caused by tapeworms of the genus Echinococcus that endangers public health and hinders socioeconomic development. Ningxia Hui Autonomous Region(Ningxia) is one of the primary locations where this disease is endemic. This study analyzed the prevalence and spatial distribution characteristics of human echinococcosis in Ningxia from 2011 to 2023, providing a reference for identifying key areas of human echinococcosis and developing targeted prevention and control strategies.

methodsData on human echinococcosis in Ningxia from 2011 to 2023 were collected from "China Information System for Disease Control and Prevention". The population data were obtained from the official website of the Ningxia Statistical Bureau. Joinpoint regression analysis was used to characterize the incidence trend of human echinococcosis in Ningxia. County-level electronic maps of Ningxia were downloaded from the National Geographic Information Public Service Platform. The epidemiological characteristics of human echinococcosis were analyzed, and spatial autocorrelation analysis was performed using ArcGIS 10.4 software. Additionally, spatiotemporal scanning analysis was conducted using SaTScan V9.5 software.

resultsA total of 3,316 cases of human echinococcosis were reported from 2011 to 2023.The annual average incidence of the disease was 3.88 per 100,000 persons, with the highest rate of 6.38/100,000 in 2012 and the lowest rate of 1.33/100,000 in 2023. The incidence rate of human echinococcosis showed a declining trend, with average annual percent change (AAPC) of -11.27% (95% CI: -15.50% to -6.83%; t = -4.80, P < 0.001). Of the total cases, 1,566 were male and 1,750 were female. The male-to-female ratio is 0.89:1, with the incidence rate lower in males (3.48 per 100,000) than in females (4.06 per 100,000). The incidence rate was highest in the 70-year age group (17.00 per 100,000), followed by the 60-year age group (10.84 per 100,000), while the lowest incidence was observed in the 0-year age group (0.09 per 100,000). These data demonstrate a clear age-dependent increasing trend in human echinococcosis incidence rate(χ

conclusionThis study is based on Ningxia's echinococcosis surveillance data from 2011 to 2023. It was confirmed through spatial epidemiological analysis that the national central transfer payment prevention and control project can effectively reduce the rate of echinococcosis infection in the population. The spatial clustering characteristics found in the study (high-high clustering areas are concentrated in the southern mountainous areas, and low-low clustering areas are located in the northern and central areas) provide a scientific basis for differentiated prevention and control strategies. It is recommended to use "patient tracking + key population monitoring" instead of whole-region screening, focusing health resources on key areas and key populations, and maximizing prevention and control efficiency.

Indexed as

EchinococcosisAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansIncidenceInfantMaleMiddle AgedPrevalenceSpatial AnalysisYoung AdultEchinococcosisEpidemiological characteristicsNingxiaSpatial autocorrelationSpatial scan clustering

Identifiers

PMID40739204
PMCPMC12309093

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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.