Evidence map›Paper›PMID 37270512›Full record

ArticleParasites & vectors2023

Epidemiological characteristics and risk factors for cystic and alveolar echinococcosis in China: an analysis of a national population-based field survey.

Tian Ma, Qian Wang, Mengmeng Hao, Chuizhao Xue, Xu Wang, Shuai Han, Qian Wang, Jiangshan Zhao, Xiao Ma, Xianglin Wu and 12 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

22 authors.

Tian Ma *Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Qian Wang *Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Mengmeng Hao *Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Chuizhao Xue *National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.
Xu WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.
Shuai HanNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.
Qian WangSichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Jiangshan ZhaoXingjiang Uyghur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Xiao MaQinghai Institute for Endemic Disease Prevention and Control, Xining, Qinghai, China.
Xianglin WuNingxia Center for Disease Control and Prevention, Yinchuan, Ningxia, China.
Xiaofeng JiangInner Mongolia Autonomous Region Center for Diseases Control and Prevention, Hohhot, Inner Mongolia, China.
Lei CaoShaanxi Provincial Center for Disease Control and Prevention, Xi'an, Shaanxi, China.
Yaming YangYunnan Institute of Parasitic Diseases, Puer, Yunnan, China.
Yu FengGansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China.
Quzhen GongsangTibet Center for Diseases Control and Prevention, Lhasa, Tibet, China.
Jürgen ScheffranInstitute of Geography, Center for Earth System Research and Sustainability, University of Hamburg, 20144, Hamburg, Germany.
Liqun FangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Richard James MaudeMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Canjun ZhengChinese Center for Disease Control and Prevention, Beijing, China. zhengcj@chinacdc.cn.
Fangyu DingInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. dingfy@igsnrr.ac.cn.
Weiping WuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China. wuwp@nipd.chinacdc.cn.
Dong JiangInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. jiangd@igsnrr.ac.cn.

Funding

Wellcome Trust 220211
6 · The paper itself

Abstract

backgroundHuman cystic and alveolar echinococcosis are neglected tropical diseases that WHO has prioritized for control in recent years. Both diseases impose substantial burdens on public health and the socio-economy in China. In this study, which is based on the national echinococcosis survey from 2012 to 2016, we aim to describe the spatial prevalence and demographic characteristics of cystic and alveolar echinococcosis infections in humans and assess the impact of environmental, biological and social factors on both types of the disease.

methodsWe computed the sex-, age group-, occupation- and education level-specific prevalences of cystic and alveolar echinococcosis at national and sub-national levels. We mapped the geographical distribution of echinococcosis prevalence at the province, city and county levels. Finally, by analyzing the county-level echinococcosis cases combined with a range of associated environmental, biological and social factors, we identified and quantified the potential risk factors for echinococcosis using a generalized linear model.

resultsA total of 1,150,723 residents were selected and included in the national echinococcosis survey between 2012 and 2016, of whom 4161 and 1055 tested positive for cystic and alveolar echinococcosis, respectively. Female gender, older age, occupation at herdsman, occupation as religious worker and illiteracy were identified as risk factors for both types of echinococcosis. The prevalence of echinococcosis was found to vary geographically, with areas of high endemicity observed in the Tibetan Plateau region. Cystic echinococcosis prevalence was positively correlated with cattle density, cattle prevalence, dog density, dog prevalence, number of livestock slaughtered, elevation and grass area, and negatively associated with temperature and gross domestic product (GDP). Alveolar echinococcosis prevalence was positively correlated with precipitation, level of awareness, elevation, rodent density and rodent prevalence, and negatively correlated with forest area, temperature and GDP. Our results also implied that drinking water sources are significantly associated with both diseases.

conclusionsThe results of this study provide a comprehensive understanding of geographical patterns, demographic characteristics and risk factors of cystic and alveolar echinococcosis in China. This important information will contribute towards developing targeted prevention measures and controlling diseases from the public health perspective.

Indexed as

EchinococcosisAnimalsCattleChinaDogsFemaleHumansMalePrevalenceRisk FactorsAlveolar echinococcosisChinaCystic echinococcosisEpidemiological characteristicsRisk factors

Identifiers

PMID37270512
PMCPMC10239570

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.