Evidence map›Paper›PMID 27977674›Full record

ArticlePLoS neglected tropical diseases2016

Genetic Evidence of Contemporary Dispersal of the Intermediate Snail Host of Schistosoma japonicum: Movement of an NTD Host Is Facilitated by Land Use and Landscape Connectivity.

Jennifer R Head, Howard Chang, Qunna Li, Christopher M Hoover, Thomas Wilke, Catharina Clewing, Elizabeth J Carlton, Song Liang, Ding Lu, Bo Zhong and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
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  4. Population Genetics ofTropical medicine and infectious disease · 2023
    Article
  5. Review
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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 6 institutions in 3 countries.

Jennifer R HeadDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0003-1449-4171
Howard ChangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Qunna LiDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Christopher M HooverEnvironmental Health Sciences, School of Public Health, University of California, Berkeley, California, United States of America.
Thomas WilkeDepartment of Animal Ecology and Systematics, Justus Liebig University, Giessen, Germany.
Catharina ClewingDepartment of Animal Ecology and Systematics, Justus Liebig University, Giessen, Germany.
Elizabeth J CarltonDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz, Aurora, Colorado, United States of America.
Song LiangDepartment of Environmental & Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America.
Ding LuInstitute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Bo ZhongInstitute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Justin V RemaisEnvironmental Health Sciences, School of Public Health, University of California, Berkeley, California, United States of America.
Emory University · USJustus-Liebig-Universität Gießen · DESichuan Center for Disease Control and Prevention · CNUniversity of California, Berkeley · USColorado School of Public Health · USUniversity of Florida · US

Funding

Effects of agricultural expansion and intensification on infectionsR01TW010286 · FIC · UNIVERSITY OF SOUTH FLORIDA · PI REMAIS, JUSTIN V, ROHR, JASON ROBERT · 2015 to 2019
$2.4M
Models for improving surveillance of environmentally-mediated infectious diseasesK01AI091864 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI REMAIS, JUSTIN V · 2011 to 2015
$643k
Identifying parasite reservoirs in areas approaching eliminationR21AI115288 · NIAID · UNIVERSITY OF COLORADO DENVER · PI CARLTON, ELIZABETH · 2015 to 2016
$409k
FIC NIH HHS R01 TW010286NIAID NIH HHS K01 AI091864NIAID NIH HHS R21 AI115288
6 · The paper itself

Abstract

backgroundWhile the dispersal of hosts and vectors-through active or passive movement-is known to facilitate the spread and re-emergence of certain infectious diseases, little is known about the movement ecology of Oncomelania spp., intermediate snail host of the parasite Schistosoma japonicum, and its consequences for the spread of schistosomiasis in East and Southeast Asia. In China, despite intense control programs aimed at preventing schistosomiasis transmission, there is evidence in recent years of re-emergence and persistence of infection in some areas, as well as an increase in the spatial extent of the snail host. A quantitative understanding of the dispersal characteristics of the intermediate host can provide new insights into the spatial dynamics of transmission, and can assist public health officials in limiting the geographic spread of infection. METHODOLOGY/PRINCIPAL

findingsOncomelania hupensis robertsoni snails (n = 833) were sampled from 29 sites in Sichuan, China, genotyped, and analyzed using Bayesian assignment to estimate the rate of recent snail migration across sites. Landscape connectivity between each site pair was estimated using the geographic distance distributions derived from nine environmental models: Euclidean, topography, incline, wetness, land use, watershed, stream use, streams and channels, and stream velocity. Among sites, 14.4% to 32.8% of sampled snails were identified as recent migrants, with 20 sites comprising >20% migrants. Migration rates were generally low between sites, but at 8 sites, over 10% of the overall host population originated from one proximal site. Greater landscape connectivity was significantly associated with increased odds of migration, with the minimum path distance (as opposed to median or first quartile) emerging as the strongest predictor across all environmental models. Models accounting for land use explained the largest proportion of the variance in migration rates between sites. A greater number of irrigation channels leading into a site was associated with an increase in the site's propensity to both attract and retain snails. CONCLUSIONS/SIGNIFICANCE: Our findings have important implications for controlling the geographic spread of schistosomiasis in China, through improved understanding of the dispersal capacity of the parasite's intermediate host.

Indexed as

Animal MigrationAnimalsBayes TheoremChinaDisease VectorsEcologyEnvironmentGenotypeGeographyHumansInfection ControlPhylogenySchistosoma japonicumSchistosomiasisSchistosomiasis japonicaSnails

Identifiers

PMID27977674
PMCPMC5157946
OpenAlexW2563679098

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.