Evidence map›Paper›PMID 28416001›Full record

ArticleInfectious diseases of poverty2017

Assessing environmental factors associated with regional schistosomiasis prevalence in Anhui Province, Peoples' Republic of China using a geographical detector method.

Yi Hu, Congcong Xia, Shizhu Li, Michael P Ward, Can Luo, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Zhijie Zhang

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2017. 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
2.2field-weighted citation impact, top 15% of its field
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, 31 citations in OpenAlex.

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  14. Elimination of schistosomiasis: the tools required.Infectious diseases of poverty · 2017
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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

9 authors at 6 institutions in 3 countries.

Yi HuDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Congcong XiaDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
Shizhu LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Tropical diseases, Shanghai, People's Republic of China. lisz@chinacdc.cn.
Michael P WardFaculty of Veterinary Science, The University of Sydney NSW, Sydney, Australia.
Can LuoDepartment of Environmental Art and Architecture, Changsha Environmental Protection Vocational Technical College, Changsha, Hunan, People's Republic of China.
Fenghua GaoAnhui Institute of Parasitic Diseases, Wuhu, People's Republic of China.
Qizhi WangAnhui Institute of Parasitic Diseases, Wuhu, People's Republic of China.
Shiqing ZhangAnhui Institute of Parasitic Diseases, Wuhu, People's Republic of China.
Zhijie ZhangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China. epistat@gmail.com.
Jiangsu Institute of Parasitic Diseases · CNFudan University · CNChangsha Environmental Protection College · CNMinistry of Education of the People's Republic of China · CNNational Institute for Parasitic Diseases · CNUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchistosomiasis is a water-borne disease caused by trematode worms belonging to genus Schistosoma, which is prevalent most of the developing world. Transmission of the disease is usually associated with multiple biological characteristics and social factors but also factors can play a role. Few studies have assessed the exact and interactive influence of each factor promoting schistosomiasis transmission.

methodsWe used a series of different detectors (i.e., specific detector, risk detector, ecological detector and interaction detector) to evaluate separate and interactive effects of the environmental factors on schistosomiasis prevalence. Specifically, (i) specific detector quantifies the impact of a risk factor on an observed spatial disease pattern, which were ranked statistically by a value of Power of Determinate (PD) calculation; (ii) risk detector detects high risk areas of a disease on the condition that the study area is stratified by a potential risk factor; (iii) ecological detector explores whether a risk factor is more significant than another in controlling the spatial pattern of a disease; (iv) interaction detector probes whether two risk factors when taken together weaken or enhance one another, or whether they are independent in developing a disease. Infection data of schistosomiasis based on conventional surveys were obtained at the county level from the health authorities in Anhui Province, China and used in combination with information from Chinese weather stations and internationally available environmental data.

resultsThe specific detector identified various factors of potential importance as follows: Proximity to Yangtze River (0.322) > Land cover (0.285) > sunshine hours (0.256) > population density (0.109) > altitude (0.090) > the normalized different vegetation index (NDVI) (0.077) > land surface temperature at daytime (LST

conclusionProximity to Yangtze River had the strongest effect on schistosomiasis prevalence followed by land cover and sunshine hours, while the remaining factors had only weak influence. Interaction between factors played an even more important role in influencing schistosomiasis prevalence than each factor on its own. High risk regions influenced by strong interactions need to be targeted for disease control intervention.

Indexed as

EnvironmentTopography, MedicalAnimalsCross-Sectional StudiesDisease Transmission, InfectiousHumansPrevalenceSchistosomaSchistosomiasisTaiwanChinaEnvironmental factorsGeographical detectorGeographic information systemsSchistosoma japonicumSpatial variation analysis

Identifiers

PMID28416001
PMCPMC5392949
OpenAlexW2606779830

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.