FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2109881497> ?p ?o ?g. }

• W2109881497 endingPage "21" @default.
• W2109881497 startingPage "21" @default.
• W2109881497 abstract "Fine-scale and longitudinal geospatial analysis of health risks in challenging urban areas is often limited by the lack of other spatial layers even if case data are available. Underlying population counts, residential context, and associated causative factors such as standing water or trash locations are often missing unless collected through logistically difficult, and often expensive, surveys. The lack of spatial context also hinders the interpretation of results and designing intervention strategies structured around analytical insights. This paper offers a ubiquitous spatial data collection approach using a spatial video that can be used to improve analysis and involve participatory collaborations. A case study will be used to illustrate this approach with three health risks mapped at the street scale for a coastal community in Haiti.Spatial video was used to collect street and building scale information, including standing water, trash accumulation, presence of dogs, cohort specific population characteristics, and other cultural phenomena. These data were digitized into Google Earth and then coded and analyzed in a GIS using kernel density and spatial filtering approaches. The concentrations of these risks around area schools which are sometimes sources of diarrheal disease infection because of the high concentration of children and variable sanitary practices will show the utility of the method. In addition schools offer potential locations for cholera education interventions.Previously unavailable fine scale health risk data vary in concentration across the town, with some schools being proximate to greater concentrations of the mapped risks. The spatial video is also used to validate coded data and location specific risks within these hotspots.Spatial video is a tool that can be used in any environment to improve local area health analysis and intervention. The process is rapid and can be repeated in study sites through time to track spatio-temporal dynamics of the communities. Its simplicity should also be used to encourage local participatory collaborations." @default.
• W2109881497 created "2016-06-24" @default.
• W2109881497 creator A5014321543 @default.
• W2109881497 creator A5050489995 @default.
• W2109881497 creator A5077115322 @default.
• W2109881497 creator A5083502066 @default.
• W2109881497 date "2013-01-01" @default.
• W2109881497 modified "2023-10-10" @default.
• W2109881497 title "A ubiquitous method for street scale spatial data collection and analysis in challenging urban environments: mapping health risks using spatial video in Haiti" @default.
• W2109881497 cites W1826192097 @default.
• W2109881497 cites W1963843280 @default.
• W2109881497 cites W1968849734 @default.
• W2109881497 cites W1970071132 @default.
• W2109881497 cites W1970338121 @default.
• W2109881497 cites W1975245372 @default.
• W2109881497 cites W1976040640 @default.
• W2109881497 cites W2000696467 @default.
• W2109881497 cites W2000740845 @default.
• W2109881497 cites W2009974606 @default.
• W2109881497 cites W2016286274 @default.
• W2109881497 cites W2031852979 @default.
• W2109881497 cites W2043083616 @default.
• W2109881497 cites W2048241917 @default.
• W2109881497 cites W2057301737 @default.
• W2109881497 cites W2063935068 @default.
• W2109881497 cites W2065368238 @default.
• W2109881497 cites W2068887635 @default.
• W2109881497 cites W2080743795 @default.
• W2109881497 cites W2091794286 @default.
• W2109881497 cites W2092081287 @default.
• W2109881497 cites W2096036927 @default.
• W2109881497 cites W2101303382 @default.
• W2109881497 cites W2108022477 @default.
• W2109881497 cites W2113983977 @default.
• W2109881497 cites W2114246768 @default.
• W2109881497 cites W2115208153 @default.
• W2109881497 cites W2117810730 @default.
• W2109881497 cites W2128998865 @default.
• W2109881497 cites W2137993262 @default.
• W2109881497 doi "https://doi.org/10.1186/1476-072x-12-21" @default.
• W2109881497 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3685559" @default.
• W2109881497 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23587358" @default.
• W2109881497 hasPublicationYear "2013" @default.
• W2109881497 type Work @default.
• W2109881497 sameAs 2109881497 @default.
• W2109881497 citedByCount "36" @default.
• W2109881497 countsByYear W21098814972014 @default.
• W2109881497 countsByYear W21098814972015 @default.
• W2109881497 countsByYear W21098814972016 @default.
• W2109881497 countsByYear W21098814972017 @default.
• W2109881497 countsByYear W21098814972018 @default.
• W2109881497 countsByYear W21098814972019 @default.
• W2109881497 countsByYear W21098814972020 @default.
• W2109881497 countsByYear W21098814972021 @default.
• W2109881497 countsByYear W21098814972022 @default.
• W2109881497 crossrefType "journal-article" @default.
• W2109881497 hasAuthorship W2109881497A5014321543 @default.
• W2109881497 hasAuthorship W2109881497A5050489995 @default.
• W2109881497 hasAuthorship W2109881497A5077115322 @default.
• W2109881497 hasAuthorship W2109881497A5083502066 @default.
• W2109881497 hasBestOaLocation W21098814971 @default.
• W2109881497 hasConcept C105795698 @default.
• W2109881497 hasConcept C107826830 @default.
• W2109881497 hasConcept C113807197 @default.
• W2109881497 hasConcept C133462117 @default.
• W2109881497 hasConcept C138816342 @default.
• W2109881497 hasConcept C158709400 @default.
• W2109881497 hasConcept C159110408 @default.
• W2109881497 hasConcept C159620131 @default.
• W2109881497 hasConcept C166957645 @default.
• W2109881497 hasConcept C18903297 @default.
• W2109881497 hasConcept C193395930 @default.
• W2109881497 hasConcept C201780435 @default.
• W2109881497 hasConcept C205649164 @default.
• W2109881497 hasConcept C2778755073 @default.
• W2109881497 hasConcept C2779343474 @default.
• W2109881497 hasConcept C2908647359 @default.
• W2109881497 hasConcept C33923547 @default.
• W2109881497 hasConcept C39432304 @default.
• W2109881497 hasConcept C58640448 @default.
• W2109881497 hasConcept C62649853 @default.
• W2109881497 hasConcept C64754055 @default.
• W2109881497 hasConcept C71924100 @default.
• W2109881497 hasConcept C86803240 @default.
• W2109881497 hasConcept C9770341 @default.
• W2109881497 hasConcept C99454951 @default.
• W2109881497 hasConceptScore W2109881497C105795698 @default.
• W2109881497 hasConceptScore W2109881497C107826830 @default.
• W2109881497 hasConceptScore W2109881497C113807197 @default.
• W2109881497 hasConceptScore W2109881497C133462117 @default.
• W2109881497 hasConceptScore W2109881497C138816342 @default.
• W2109881497 hasConceptScore W2109881497C158709400 @default.
• W2109881497 hasConceptScore W2109881497C159110408 @default.
• W2109881497 hasConceptScore W2109881497C159620131 @default.
• W2109881497 hasConceptScore W2109881497C166957645 @default.
• W2109881497 hasConceptScore W2109881497C18903297 @default.
• W2109881497 hasConceptScore W2109881497C193395930 @default.
• W2109881497 hasConceptScore W2109881497C201780435 @default.

• next