Evidence map›Paper›PMID 29523176›Full record

ArticleParasites & vectors2018

Environmental risk factors and changing spatial patterns of human seropositivity for Echinococcus spp. in Xiji County, Ningxia Hui Autonomous Region, China.

Angela M Cadavid Restrepo, Yu Rong Yang, Donald P McManus, Darren J Gray, Tamsin S Barnes, Gail M Williams, Ricardo J Soares Magalhães, Archie C A Clements

Abstract read
In one paragraph

Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  6. Targeted and non-targeted proteomics to characterize the parasite proteins ofFrontiers in cellular and infection microbiology · 2023
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  14. Geographical Environment Factors and Risk Mapping of Human Cystic Echinococcosis in Western China.International journal of environmental research and public health · 2018
    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

8 authors.

Angela M Cadavid RestrepoResearch School of Population Health, The Australian National University, Canberra, Australian Capital Territory, 0200, Australia. angela.cadavid@anu.edu.au.
Yu Rong YangNingxia Medical University, 692 Shengli St, Xingqing, Yinchuan, Ningxia Hui Autonomous Region, China.
Donald P McManusMolecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia.
Darren J GrayResearch School of Population Health, The Australian National University, Canberra, Australian Capital Territory, 0200, Australia.
Tamsin S BarnesThe University of Queensland, School of Veterinary Science, Gatton, Queensland, Australia.
Gail M WilliamsThe University of Queensland, School of Public Health, Brisbane, Queensland, 4006, Australia.
Ricardo J Soares MagalhãesThe University of Queensland, School of Veterinary Science, Gatton, Queensland, Australia.
Archie C A ClementsResearch School of Population Health, The Australian National University, Canberra, Australian Capital Territory, 0200, Australia.

Funding

National Health and Medical Research Council APP1009539
6 · The paper itself

Abstract

backgroundHuman echinococcoses are parasitic helminth infections that constitute a serious public health concern in several regions across the world. Cystic (CE) and alveolar echinococcosis (AE) in China represent a high proportion of the total global burden of these infections. This study was conducted to predict the spatial distribution of human seropositivity for Echinococcus species in Xiji County, Ningxia Hui Autonomous Region (NHAR), with the aim of identifying communities where targeted prevention and control efforts are required.

methodsBayesian geostatistical models with environmental and demographic covariates were developed to predict spatial variation in the risk of human seropositivity for Echinococcus granulosus (the cause of CE) and E. multilocularis (the cause of AE). Data were collected from three cross-sectional surveys of school children conducted in Xiji County in 2002-2003, 2006-2007 and 2012-2013. Environmental data were derived from high-resolution satellite images and meteorological data.

resultsThe overall seroprevalence of E. granulosus and E. multilocularis was 33.4 and 12.2%, respectively, across the three surveys. Seropositivity for E. granulosus was significantly associated with summer and winter precipitation, landscape fragmentation variables and the extent of areas covered by forest, shrubland, water and bareland/artificial surfaces. Seropositivity for E. multilocularis was significantly associated with summer and winter precipitations, landscape fragmentation variables and the extent of shrubland and water bodies. Spatial correlation occurred over greater distances for E. granulosus than for E. multilocularis. The predictive maps showed that the risk of seropositivity for E. granulosus expanded across Xiji during the three surveys, while the risk of seropositivity for E. multilocularis became more confined in communities located in the south.

conclusionsThe identification of high-risk areas for seropositivity for these parasites, and a better understanding of the role of the environment in determining the transmission dynamics of Echinococcus spp. may help to guide and monitor improvements in human echinococcosis control strategies by allowing targeted allocation of resources.

Indexed as

Environmental ExposureTopography, MedicalAdolescentAnimalsAntibodies, HelminthChildChinaCross-Sectional StudiesEchinococcosisEchinococcus granulosusEchinococcus multilocularisFemaleHumansMaleModels, StatisticalRisk FactorsAntibodies, HelminthEchinococcus granulosusEchinococcus multilocularisEnvironmentGeographical information systemsHuman echinococcosesNingxia Hui Autonomous RegionRemote sensingXiji County

Identifiers

PMID29523176
PMCPMC5845300

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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.