Evidence map›Paper›PMID 38017569›Full record

ArticleInfectious diseases of poverty2023

Influence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year's longitudinal surveillance data: a spatio-temporal modelling study.

Xin Liu, Yang Sun, Yun Yin, Xiaofeng Dai, Robert Bergquist, Fenghua Gao, Rui Liu, Jie Liu, Fuju Wang, Xiao Lv and 1 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Xin Liu *College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.
Yang Sun *College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.
Yun Yin *School of Public Health, Fudan University, Shanghai, China.
Xiaofeng DaiCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.
Robert BergquistIngerod, Brastad, Sweden.
Fenghua GaoAnhui Institute of Schistosomiasis Control, Hefei, Anhui, China.
Rui LiuCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.
Jie LiuCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.
Fuju WangCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.
Xiao LvCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China.
Zhijie ZhangSchool of Public Health, Fudan University, Shanghai, China. epistat@gmail.com.ORCID http://orcid.org/0000-0002-1276-787X
Shandong University of Science and Technology · CNMinistry of Education of the People's Republic of China · CNGeological Exploration Institute of Shandong Zhengyuan · CN

Funding

Autonomous and Controllable Special Project for Surveying and Mapping of China grant No. 816-517National Natural Science Foundation of China 81973102
6 · The paper itself

Abstract

backgroundUrbanization greatly affects the natural and social environment of human existence and may have a multifactoral impact on parasitic diseases. Schistosomiasis, a common parasitic disease transmitted by the snail Oncomelania hupensis, is mainly found in areas with population aggregations along rivers and lakes where snails live. Previous studies have suggested that factors related to urbanization may influence the infection risk of schistosomiasis, but this association remains unclear. This study aimed to analyse the effect of urbanization on schistosomiasis infection risk from a spatial and temporal perspective in the endemic areas along the Yangtze River Basin in China.

methodsCounty-level schistosomiasis surveillance data and natural environmental factor data covering the whole Anhui Province were collected. The urbanization level was characterized based on night-time light data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) and the National Polar-Orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The geographically and temporally weighted regression model (GTWR) was used to quantify the influence of urbanization on schistosomiasis infection risk with the other potential risk factors controlled. The regression coefficient of urbanization was tested for significance (α = 0.05), and the influence of urbanization on schistosomiasis infection risk was analysed over time and across space based on significant regression coefficients. Variables studied included climate, soil, vegetation, hydrology and topography.

resultsThe mean regression coefficient for urbanization (0.167) is second only to the leached soil area (0.300), which shows that the urbanization is the most important influence factors for schistosomiasis infection risk besides leached soil area. The other important variables are distance to the nearest water source (0.165), mean minimum temperature (0.130), broadleaf forest area (0.105), amount of precipitation (0.073), surface temperature (0.066), soil bulk density (0.037) and grassland area (0.031). The influence of urbanization on schistosomiasis infection risk showed a decreasing trend year by year. During the study period, the significant coefficient of urbanization level increased from - 0.205 to - 0.131.

conclusionsThe influence of urbanization on schistosomiasis infection has spatio-temporal heterogeneous. The urbanization does reduce the risk of schistosomiasis infection to some extend, but the strength of this influence decreases with increasing urbanization. Additionally, the effect of urbanization on schistosomiasis infection risk was greater than previous reported natural environmental factors. This study provides scientific basis for understanding the influence of urbanization on schistosomiasis, and also provides the feasible research methods for other similar studies to answer the issue about the impact of urbanization on disease risk.

Indexed as

SchistosomiasisUrbanizationAnimalsChinaHumansRiversSnailsSoilSoilGeographically and temporally weighted regressionNight-time light dataSchistosomiasisSpatio-temporal analysisUrbanization

Identifiers

PMID38017569
PMCPMC10685489
OpenAlexW4389151467

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.