Evidence map›Paper›PMID 41417813›Full record

ArticlePLoS neglected tropical diseases2025

Spatiotemporal distribution and control of echinococcosis in Xinjiang, 2005-2023.

Zhe Yin, Guangzhong Shi, Yalikun Maimaitiyiming, Qi Wang, Kaisaer Tuerxunjiang, Adili Simayi, Jiangshan Zhao

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhe YinXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, China.
Guangzhong ShiXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, China.
Yalikun MaimaitiyimingXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, China.
Qi WangXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, China.
Kaisaer TuerxunjiangXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, China.
Adili SimayiXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, China.
Jiangshan ZhaoXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, China.ORCID 0009-0000-5874-780X

Funding

Xinjiang Uygur Autonomous Region Key Research and Development Project
6 · The paper itself

Abstract

objectiveThis study investigated the epidemiological characteristics of echinococcosis in Xinjiang, aiming to provide evidence for evaluating prevention and control progress and guiding future strategies.

methodsReported echinococcosis incidence data from Xinjiang during 2005-2023 were obtained from the China Infectious Disease Surveillance and Reporting System. Temporal trends and spatial distributionwere analyzed using joinpoint regression and spatial autocorrelation methods. Additionally, a linear regression model (LR), spatial autoregressive model (SAR), and spatiotemporal autoregressive model (STAR) were constructed to quantitatively assess the impact of factors such as year, spatial lag, and temporal lag on incidence rates.

resultsThe reported incidence ranged from 1.95 per 100,000 in 2005 to 10.85 per 100,000 in 2017, followed by a gradual decline, though levels in 2023 (8.12 per 100,000) remained higher than those in 2005. Spatially, incidence exhibited significant positive spatial correlation (Moran's I: 0.097 in 2008 to 0.400 in 2010, all P-values < 0.001), with high-incidence counties concentrated in northern and central Xinjiang, while low-incidence counties were mainly located in the south. Northern Xinjiang, particularly areas centered around Tacheng Prefecture, Bortala Prefecture, and Ili Prefecture, was identified as a hotspot, whereas Kashgar and Hotan Prefectures in southern Xinjiang formed cold spots. Model analysis indicated that the STAR model provided the best fit (residuals range: 0.020 [-0.292, 0.317], AIC = 2,549.4), with year, spatial lag (β = 0.323), and temporal lag (β = 0.420) significantly affecting incidence rates (P < 0.05). The findings suggest that echinococcosis incidence in Xinjiang exhibits temporal continuity and spatial spillover effects.

conclusionEchinococcosis in Xinjiang exhibited marked spatiotemporal heterogeneity during 2005-2023. While national and regional prevention programs contributed to reducing incidence after 2017, the burden remains substantial. These findings underscore the need for sustained and regionally coordinated prevention and control strategies to prevent potential resurgence.

Indexed as

EchinococcosisChinaHumansIncidenceSpatio-Temporal Analysis

Identifiers

PMID41417813
PMCPMC12716753

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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.