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Schistosoma japonicum transmission risk maps at present and under climate change in mainland China

https://doi.org/10.1371/journal.pntd.0006021
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Sensitivity of distributional prediction algorithms to geographic data completeness
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Exploring molecular variation in Schistosoma japonicum in China
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BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
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ENM eval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
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A continental risk assessment of West Nile virus under climate change
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Editorial commentary on ‘Patterns and uncertainties of species' range shifts under climate change’
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Editorial commentary on ‘ BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change’
inferredcites →https://doi.org/10.1111/j.1365-2486.2004.00859.xopenalex-snapshot
Patterns and uncertainties of species' range shifts under climate change
inferredcites →https://doi.org/10.1111/j.1365-2699.2009.02174.xopenalex-snapshot
Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
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inferredcites →https://doi.org/10.1111/j.1466-822x.2005.00182.xopenalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1466-8238.2011.00698.xopenalex-snapshot
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Evaluation of consensus methods in predictive species distribution modelling
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A statistical explanation of MaxEnt for ecologists
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Does the interpolation accuracy of species distribution models come at the expense of transferability?
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Niche Conservatism: Integrating Evolution, Ecology, and Conservation Biology
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Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors
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The genetic diversity and geographical separation study of Oncomelania hupensis populations in mainland China using microsatellite loci
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Distinct Genetic Diversity of Oncomelania hupensis, Intermediate Host of Schistosoma japonicum in Mainland China as Revealed by ITS Sequences
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Spatio-temporal Transmission and Environmental Determinants of Schistosomiasis Japonica in Anhui Province, China
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Spatial Distribution of Human Schistosoma japonicum Infections in the Dongting Lake Region, China
inferredcites →https://doi.org/10.1515/eje-2015-0014openalex-snapshot
Mechanistic and Correlative Models of Ecological Niches
inferredcites →https://doi.org/10.1890/10-1171.1openalex-snapshot
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The Anolis Lizards of Bimini: Resource Partitioning in a Complex Fauna
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R: A Language and Environment for Statistical Computing
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Oncomelania hupensis (Gastropoda: Rissooidea), Intermediate Host Of Schistosoma japonicum In China: Genetics and Molecular Phylogeny Based On Amplified Fragment Length Polymorphisms
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Landscape genetics: the correlation of spatial and genetic distances of Oncomelania hupensis, the intermediate host snail of Schistosoma japonicum in mainland China
inferredcites →https://doi.org/10.4081/gh.2013.61openalex-snapshot
Schistosoma japonicum risk in Jiangsu province, People’s Republic of China: identification of a spatio-temporal risk pattern along the Yangtze River
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Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference
inferredcites →https://doi.org/10.4269/ajtmh.2008.78.188openalex-snapshot
Potential Impact of Climate Change on Schistosomiasis Transmission in China
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SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3695897openalex-extracted
Schistosoma Japonicum
inferred← citeshttps://doi.org/10.2139/ssrn.3722378openalex-extracted
Global Epidemiology of Schistosomiasis
inferred← citeshttps://doi.org/10.2139/ssrn.3722691openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-981-13-2583-0_5openalex-snapshot
Ambient Temperature and Major Infectious Diseases in China
inferred← citeshttps://doi.org/10.1007/s12524-020-01140-5openalex-snapshot
Review of Geospatial Technology for Infectious Disease Surveillance: Use Case on COVID-19
inferred← citeshttps://doi.org/10.1007/s40121-022-00647-3openalex-snapshot
Climate Change and Cascading Risks from Infectious Disease
inferred← citeshttps://doi.org/10.1016/bs.apar.2018.02.001openalex-snapshot
Climate Change and the Neglected Tropical Diseases
inferred← citeshttps://doi.org/10.1016/j.accre.2022.02.004openalex-snapshot
Projecting the proliferation risk of Oncomelania hupensis in China driven by SSPs: A multi-scenario comparison and integrated modeling study
inferred← citeshttps://doi.org/10.1016/j.actatropica.2018.09.013openalex-snapshot
Schistosomes, snails and climate change: Current trends and future expectations
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2021.109502openalex-snapshot
Cautions in weighting individual ecological niche models in ensemble forecasting
inferred← citeshttps://doi.org/10.1016/j.envres.2019.03.043openalex-snapshot
The impact of climate variability on infectious disease transmission in China: Current knowledge and further directions
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Brain diseases in changing climate
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Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data
inferred← citeshttps://doi.org/10.1016/j.parint.2023.102827openalex-snapshot
MaxEnt modeling of the potential risk of schistosomiasis in the Philippines using bioclimatic factors
inferred← citeshttps://doi.org/10.1017/s0031182019001537openalex-snapshot
Spatiotemporal pattern analysis of schistosomiasis based on village level in the transmission control stage in lake and marshland areas in China
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Climate change, malaria and neglected tropical diseases: a scoping review
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Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate‐correlated risk shifts of main zoonotic diseases in China
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rSjP 40 suppresses hepatic stellate cell activation by promoting micro RNA ‐155 expression and inhibiting STAT 5 and FOXO 3a expression
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Climate change and the emerging ecology of helminthiases: a One Health perspective integrating microbial and environmental drivers
inferred← citeshttps://doi.org/10.1186/s13071-020-04526-zopenalex-snapshot
Spatio-temporal variations of emerging sites infested with schistosome-transmitting Oncomelania hupensis in Hunan Province, China, 1949–2016
inferred← citeshttps://doi.org/10.1186/s13071-023-05846-6openalex-snapshot
Three Gorges Dam: Potential differential drivers and trend in the spatio-temporal evolution of the change in snail density based on a Bayesian spatial–temporal model and 5-year longitudinal study
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Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models
inferred← citeshttps://doi.org/10.1186/s13578-020-00420-4openalex-snapshot
Temporal transcriptome change of Oncomelania hupensis revealed by Schistosoma japonicum invasion
inferred← citeshttps://doi.org/10.1186/s40249-019-0562-4openalex-snapshot
Change patterns of oncomelanid snail burden in areas within the Yangtze River drainage after the three gorges dam operated
inferred← citeshttps://doi.org/10.1371/journal.pntd.0008178openalex-snapshot
Risk prediction of two types of potential snail habitats in Anhui Province of China: Model-based approaches
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Suitable Habitats for Cicadella viridis and Evacanthus interruptus (Hemiptera: Cicadellidae) with Global Climate Change
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Phylogenetic relationships of Schistosoma japonicum in evolution
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Phylogeographic structure and historical dispersal of Schistosoma japonicum across East and Southeast Asia
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Risk factors for schistosomiasis
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Transmission Risk Prediction and Evaluation of Mountain-Type Zoonotic Visceral Leishmaniasis in China Based on Climatic and Environmental Variables
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Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China
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Potential Impact of Climate Change on Schistosomiasis: A Global Assessment Attempt
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Field Evaluation of a Loop-Mediated Isothermal Amplification (LAMP) Platform for the Detection of Schistosoma japonicum Infection in Oncomelania hupensis Snails
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Asian Schistosomiasis: Current Status and Prospects for Control Leading to Elimination
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Transmission Risk Predicting for Schistosomiasis in Mainland China by Exploring Ensemble Ecological Niche Modeling
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Mapping the potential distribution of the schistosomiasis intermediate host Biomphalaria straminea in China
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Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
inferred← citeshttps://doi.org/10.6084/m9.figshare.12150900openalex-snapshot
Additional file 1 of Temporal transcriptome change of Oncomelania hupensis revealed by Schistosoma japonicum invasion
inferred← citeshttps://doi.org/10.6084/m9.figshare.12150909openalex-snapshot
Additional file 2 of Temporal transcriptome change of Oncomelania hupensis revealed by Schistosoma japonicum invasion
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Additional file 1 of Three Gorges Dam: Potential differential drivers and trend in the spatio-temporal evolution of the change in snail density based on a Bayesian spatial–temporal model and 5-year longitudinal study
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Additional file 1 of Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models
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Additional file 2 of Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models
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