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26 results for “WNV”
Dengue_WNV_vector_Models_modeledsuitability_EU
<p><strong>Abstract:</strong></p> <p>Ensembled spatial models were produced for disease vectors by combining Random Forest and Boosted Regression Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables, land use proportions, human population and elevation. The training data offered to the model process include point location and polygon data from the VectorNet project (<a href="https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net" target="_blank" rel="noopener">https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net</a>), from the Global Biodiversity Information Facility (<a href="http://www.gbif.org/" target="_blank" rel="noopener">www.gbif.org</a>) and a series of national databases. Absence data assembled from absence records, complemented by points assigned to unsuitable areas defined by environmental and climatic thresholds obtained from experts or from the literature</p> <p> </p> <p>Two sets of vectors have been modelled: </p> <ol> <li>Potential Dengue Vectors (Global= <em>Aedes albopictus</em>, <em>Aedes aegypti</em>; Europe = <em>Aedes koreicus</em> and <em>Aedes japonicus</em>) and a combination of Ae. albopictus and Ae. Aegypti calculated as Mean (aegypti +(albopictus/2)). Filename E4DENGUEVECTORMODELS.zip</li> <li>Potential WNV vectors (<em>Culex pipiens</em>, <em>Culex torrentium</em>, <em> Culex modestus, Aedes vexans) </em>Filename e4WNVVECTORMODELS.zip</li> </ol> <p> </p>
2021_WNV_AvianHost_DistributionIndices
<p>BRT/RF ensemble spatial Models and Weighted seasonality code for WNV avian Hosts. </p> <p><strong>Abstract: </strong></p> <p>A series of BRT spatial models were produced for WNV avian hosts (Corvus corax, Corvus corone, Corvus frugilegus, Corvus monedula, Corvus ruficollis, Passer domesticus, Pica pica, Turdus merula) by combining Random Forest and Boosted Regresion Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables, land use proportions, human population and elevation. The training data offered to the model process include polygon data from the Birdlife Internatioinal project and from the Global Biodiversity Information Facility (www.gbif.org) . In addition an ensemble model combining Random Forest and Boosted Regresion Trees spatial modelling outputs has been produced for an index of seasonal distributions of corvid presence categories ranked in decreasing order as follows Resident, Breeding, Non-Breeding, Passage Speces included : Corvus vorax, Corvus monedula, Corvus corona, Corvus frugilegus, Corvus ruficollis. </p> <p> </p> <p> </p> <p><strong>File naming scheme: </strong></p> <p>File name = blifecorvidssuminvcdBRTRFENS.tif </p> <p>description: wnvmodelsdesc.txt</p> <p> </p> <p><strong>Projection </strong>+ EPSG code:<br>Latitude-Longitude/WGS84 (EPSG: 4326)</p> <p><strong>Spatial extent:</strong><br>Extent -32.0000000000000000,18.0000000000000000 : 68.9999999999999574,81.9999999999999716</p> <p><strong>Spatial resolution:</strong><br>0.0083333 deg (approx. 1000 m) </p> <p><strong>Temporal Resolution: </strong></p> <p>Seasonal </p> <p><strong>Pixel values:</strong><br>an index of seasonal distributions</p> <p><strong>Source: </strong></p> <p>The Birdlife Internatioinal project and from the Global Biodiversity Information Facility (www.gbif.org)</p> <p><strong>Software used:</strong><br>ArcMap 10.8</p> <p><strong>License:</strong> CC-BY-SA 4.0</p> <p><strong>Processed by</strong>:<br>ERGO (Environmental Research Group Oxford) <a href="https://ergoonline.co.uk/" target="_blank" rel="noopener">https://ergoonline.co.uk/</a> for the H2020 MOOD project</p>
2023_SpatialModels_Mosquitovectors_WNV
<p>Spatial Models of moisquito vectors of WNV - Culex pipiens, Culex torrentium and Culex modestus. </p> <p>Abstract</p> <p>Ensembled spatial models were produced for WNV vectors <em>Culex pipiens</em> (movmnpipiensrfbrtmeanfeb23.tif), <em>Culex torrentium</em> movmnpipiensrfbrtmeanfeb23.tif) , and <em>Culex modestus</em> (modcumodMEANrfbrt.tif) by combining Random Forest and Boosted Regression Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables (see Scharlemann <em>et. al.</em> 2008, <a href="https://doi.org/10.1371/journal.pone.0001408" target="_blank" rel="noopener">https://doi.org/10.1371/journal.pone.0001408</a>), , land use proportions, human population and elevation. The training data offered to the model process include point location and polygon data from the VectorNet project (<a href="https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net" target="_blank" rel="noopener">https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net</a>), from the Global Biodiversity Information Facility (<a href="http://www.gbif.org/" target="_blank" rel="noopener">www.gbif.org</a>) and a series of published papers.</p> <p> </p> <p>File naming scheme :</p> <p>Filename movmnpipiensrfbrtmeanfeb23.tif = spatial model for WNV vector <em>Culex pipiens</em></p> <p>Filename movmnpipiensrfbrtmeanfeb23.tif = spatial model for <em>Culex torrentium</em>) ,</p> <p>Filename modcumodMEANrfbrt.tif= spatial model for <em> Culex modestus</em></p> <p>Projection + EPSG code:<br>Latitude-Longitude/WGS84 (EPSG: 4326)</p> <p>Spatial extent:<br>Extent -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716</p> <p>Spatial resolution:<br>0.008333 deg (nominally 1km)</p> <p>temporal resolution:</p> <p>Snapshot, using training data to 2023”</p> <p>Pixel values:<br> Predicted probability of presence</p> <p>Source: </p> <p>The training data offered to the model process include point location and polygon data from the VectorNet project (<a href="https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net" target="_blank" rel="noopener">https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net</a>), from the Global Biodiversity Information Facility (<a href="http://www.gbif.org/" target="_blank" rel="noopener">www.gbif.org</a>) and a series of published papers.</p> <p>Software used:</p> <p>Software used for modelling is VECMAP®</p> <p>Software used for map production is ESRI ArcMap 10.8</p> <p>License: CC-BY-SA 4.0</p> <p>Processed by:<br>Models for <em>C. pipiens</em> and <em>C. torrentium </em>produced by ERGO (Environmental Research Group Oxford) <a href="https://ergoonline.co.uk/" target="_blank" rel="noopener">https://ergoonline.co.uk/</a> for EU H2020 MOOD project</p> <p>Model for <em>C. modestus </em>produced by ERGO (Environmental Research Group Oxford) <a href="https://ergoonline.co.uk/" target="_blank" rel="noopener">https://ergoonline.co.uk/</a>, produced for Horizon Project e4Warning using covariates supplied by the H2020 MOOD project </p>
Convalescent Plasma for the Treatment of Patients With WNV - a Double- Blind Randomized Controlled Study
ClinicalTrials.gov study NCT06590207. IPD Sharing: NO. Countries: 1. Publications: 5.
VAMP8 contributes to TRIM6-mediated type-I interferon antiviral response upon West Nile virus (WNV) infection
GEO Series GSE138841. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
CCR2 limits inflammatory functions of CD8 TRM cells that impair recognition memory during recovery from WNV encephalitis [scRNA-seq]
GEO Series GSE277155. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Mouse granule cell neuron transcriptional response to wild-type West Nile virus (WNV-NY) and mutant virus WNV E218A (mRNA)
GEO Series GSE68380. Mus musculus. 70 samples. Type: Expression profiling by array.
Mouse cerebellum transcriptome response to a wild type West Nile virus (WNV), New York 99 Strain, and mutant WNV-E218A viruses [WCB001_microRNA]
GEO Series GSE77160. Mus musculus. 30 samples. Type: Non-coding RNA profiling by array.
Effect of insulin on West Nile virus (WNV) infection in Drosophila S2 cells.
GEO Series GSE216532. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.
Mouse cerebellum transcriptome response to a wild type West Nile virus (WNV), New York 99 Strain, and mutant WNV-E218A viruses [WCB001_mRNA]
GEO Series GSE77192. Mus musculus. 60 samples. Type: Expression profiling by array.
Mouse cortex transcriptome response to a wild type West Nile virus (WNV), New York 99 Strain, and mutant WNV-E218A viruses [WCT001_miRNA]
GEO Series GSE77161. Mus musculus. 30 samples. Type: Non-coding RNA profiling by array.
Mouse cortical neuron transcriptional response to wild-type West Nile virus (WNV NY99 clone 382) and mutant virus WNV E218A [microRNA]
GEO Series GSE67474. Mus musculus. 16 samples. Type: Non-coding RNA profiling by array.
Effect of insulin on West Nile virus (WNV) infection in Culex quinquefasciatus
GEO Series GSE269077. Culex quinquefasciatus. 16 samples. Type: Expression profiling by high throughput sequencing.
Mouse granule cell neuron transcriptional response to wild-type West Nile virus (WNV-NY) and mutant virus WNV E218A (microRNA)
GEO Series GSE68381. Mus musculus. 17 samples. Type: Non-coding RNA profiling by array.
Mouse popliteal lymph node transcriptome response to a wild type West Nile virus (WNV), New York 99 Strain, and mutant WNV-E218A viruses [mRNA]
GEO Series GSE78888. Mus musculus. 51 samples. Type: Expression profiling by array.
Mouse popliteal lymph node transcriptome response to a wild type West Nile virus (WNV), New York 99 Strain, and mutant WNV-E218A viruses [microRNA]
GEO Series GSE78887. Mus musculus. 26 samples. Type: Non-coding RNA profiling by array.
Mouse cortical neuron transcriptional response to wild-type West Nile virus (WNV-NY) and mutant virus WNV E218A [mRNA]
GEO Series GSE67473. Mus musculus. 70 samples. Type: Expression profiling by array.
CCR2 limits inflammatory functions of CD8 TRM cells that impair recognition memory during recovery from WNV encephalitis
GEO Series GSE277049. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
CCR2 limits inflammatory functions of CD8 TRM cells that impair recognition memory during recovery from WNV encephalitis [RNA-seq]
GEO Series GSE277152. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Mouse cortex transcriptome response to a wild type West Nile virus (WNV), New York 99 Strain, and mutant WNV-E218A viruses [WCT001_mRNA]
GEO Series GSE77193. Mus musculus. 60 samples. Type: Expression profiling by array.
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