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17 results for “spatial vector”
Figure 2 in Spatial distribution and effects of land use and cover on cutaneous leishmaniasis vectors in the municipality of Paracambi, Rio de Janeiro, Brazil
Figure 2 Monthly mean relative abundance of medically relevant sand fly species. Please note the scale difference in the Y axis. Paracambi, RJ, Brazil, 1992-1994.
Application of inverse theory for high spatial resolution reconstructions of thermospheric vector wind fields from Doppler shifts measured by a ground-based network of all-sky Fabry-Perot interferometers
<p>Several types of all-sky viewing Fabry-Perot Interferometers (FPI) have been developed since the 1990s for ground-based remote sensing of thermospheric winds. The Scanning Doppler Imager (SDI) is one such instrument, which provides temporally simultaneous line-of-sight observations from hundreds of independent look directions per instrument exposure. A geographically distributed network of such instruments increases spatial coverage and, at many locations, also provides overlapping observations along multiple independent lines-of-sight. Together, these characteristics significantly increase the density and fidelity that is possible for reconstructed thermospheric vector wind fields, compared to a traditional narrow-field FPI, but at the cost of complexity and difficulty.<br><br></p> <p>Presently, we describe an application of inverse theory to reconstruct three-component vector thermospheric neutral wind fields using data from multiple SDI instruments. The salient features of the method used here are the ability to reconstruct three-component winds on a dense grid that is sampled regularly in latitude, longitude, and time, without assuming any a-priori underlying structure of the winds. This requires solving an inverse problem that does not in general yield a unique solution unless additional constraints are enforced. We describe this step, also known also as regularization, along with the strategy used to maximize the spatial resolution of the derived wind fields by automatically determining the minimum level of regularization that can produce stable inversions. We present example results obtained from applying this technique to one night of data from a network of SDIs in Alaska, and discuss the implications of these results for current understanding of thermospheric dynamics.</p>
Application of inverse theory for high spatial resolution reconstructions of thermospheric vector wind fields from Doppler shifts measured by a ground-based network of all-sky Fabry-Perot interferometers
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A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning
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Riparian Carbon and Nitrogen Cycling: Influences of Spatial Heterogeneity and Hydrologic Vectors
Terrestrial and aquatic ecosystem ecologists study the same phenomena (e.g., nutrient cycling, energy flow, succession) but they do so within separate conceptual frameworks. Terrestrial frameworks address state factors of climate, organisms, parent material, topography, and time to understand ecosystem processes within a location, but less often consider how ecosystems are connected. Aquatic ecologists, especially those studying flowing waters, emphasize the role of water as a means of propagating processes and materials through space and time. Both terrestrial and aquatic ecosystems contain hydrologic vectors as well as soils or sediments that record the influences of state factors. This dissertation is an investigation of carbon and nitrogen cycling in the stream-riparian corridor of the San Pedro River, a large desert river, and tests the relative effects of soil characteristics and hydrologic vectors. Riparian zones are well suited to such investigations because they are spatially heterogeneous and subject to material and water inputs from multiple hydrologic vectors. Spatially explicit methods showed that flood vectors homogenized soil characteristics and denitrification along a stream reach with frequent overbank floods, whereas soils of a riparian site that was infrequently inundated by floods were heterogeneous. Legacies of previous floods appeared to determine the spatial locations of denitrification at the latter site. At a plot scale, manipulation of precipitation and flood vectors across a gradient of soil types showed that water functioned as an essential resource during the dry season, resulting in increased emissions of trace gases following simulation of floods. Following inundation of riparian soils by several monsoon floods, however, further addition of water appeared to suppress biogeochemical activity by decreasing oxygen availability. Thus desert riparian ecosystems appear to shift seasonally along a terrestrial-aquatic continuum, functioning si
Data from: Spatial distribution of sand fly vectors and eco-epidemiology of cutaneous leishmaniasis transmission in Colombia
Background: Leishmania is transmitted by Phlebotominae insects that maintain the enzootic cycle by circulating between sylvatic and domestic mammals; humans enter the cycles as accidental hosts due to the vector's search for blood source. In Colombia, leishmaniasis is an endemic disease and 95% of all cases are cutaneous (CL), these cases have been reported in several regions of the country where the intervention of sylvatic areas by the introduction of agriculture seem to have an impact on the rearrangement of new transmission cycles. Our study aimed to update vector species distribution in the country and to analyze the relationship between vectors' distribution, climate, land use and CL prevalence. Methods: A database with geographic information was assembled, and ecological niche modeling was performed to explore the potential distribution of each of the 21 species of medical importance in Colombia, using thirteen bioclimatic variables, three topographic and three principal components derived from NDVI. Binary models for each species were obtained and related to both land use coverage, and a CL prevalence map with available epidemiological data. Finally, maps of species potential distribution were summed to define potential species richness in the country. Results: In total, 673 single records were obtained with Lutzomyia gomezi, Lutzomyia longipalpis, Psychodopygus panamensis, Psathyromyia shannoni and Pintomyia evansi the species with the highest number of records. Eighteen species had significant models, considering the area under the curve and the jackknife results: L. gomezi and P. panamensis had the widest potential distribution. All sand fly species except for Nyssomyia antunesi are mainly distributed in regions with rates of prevalence between 0.33 to 101.35 cases per 100,000 inhabitants and 76% of collection data points fall into transformed ecosystems. Discussion: Distribution ranges of sand flies with medical importance in Colombia correspond predominantly to disturbed areas, where the original land coverage is missing therefore increasing the domiciliation potential. We highlight the importance of the use of distribution maps as a tool for the development of strategies for prevention and control of diseases.
Spatial Repellents for Vector Control
ClinicalTrials.gov study NCT04795648. IPD Sharing: YES. Countries: 1. Publications: 11.
Enhancing Protection Against Vector-borne Diseases in Forcibly Displaced Communities: Evaluating the Efficacy of Spatial Repellents for Cutaneous Leishmaniasis Control in North-East Syria
ClinicalTrials.gov study NCT06917040. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: A spatial genetics approach to inform vector control of tsetse flies (Glossina fuscipes fuscipes) in Northern Uganda
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Data from: Spatial distribution of sand fly vectors and eco-epidemiology of cutaneous leishmaniasis transmission in Colombia
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Figure 1 in Spatial distribution and effects of land use and cover on cutaneous leishmaniasis vectors in the municipality of Paracambi, Rio de Janeiro, Brazil
Figure 1 Phlebotomine sand fly capture sites, land use, and land cover in the municipality of Paracambi, Rio de Janeiro State, Brazil. Detail below: example of the extraction of the annual percentages of land use and land cover in a 200-meter buffer in one of the capture sites (1992-1994 and 2001-2003). Spatial resolution of the land cover data is 30 meters (Source: mapbiomas.org).
Figure 3 in Spatial distribution and effects of land use and cover on cutaneous leishmaniasis vectors in the municipality of Paracambi, Rio de Janeiro, Brazil
Figure 3 Kernel density map of the total number of sand flies captured in Paracambi, RJ, Brazil, 1992-1994 and 2001-2003.
Data from: Predicting spatial patterns of Sindbis virus (SINV) infection risk in Finland using vector, host and environmental data
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Spatial Repellent Products for the Control of Vector Borne Diseases - Malaria - Kenya
ClinicalTrials.gov study NCT02294201. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Spatial Repellent Products for Control of Vector Borne Diseases - Malaria - Indonesia
ClinicalTrials.gov study NCT02294188. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Spatial Repellent Products for the Control of Vector Borne Diseases - Malaria - Tanzania
ClinicalTrials.gov study NCT02294214. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Spatial Repellent Products for Control of Vector Borne Diseases - Malaria - Zambia (SR-M-ZM)
ClinicalTrials.gov study NCT02394522. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.