Int J Health Geogr - A ubiquitous method for street scale spatial data collection and analysis in challenging urban environments: mapping health risks using spatial video in Haiti.

Tópicos

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Resumo

CKGROUND: 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.METHODS: 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.RESULTS: 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".CONCLUSIONS: 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.

Resumo Limpo

ckground finescal longitudin geospati analysi health risk challeng urban area often limit lack spatial layer even case data avail under popul count residenti context associ causat factor stand water trash locat often miss unless collect logist difficult often expens survey lack spatial context also hinder interpret result design intervent strategi structur around analyt insight paper offer ubiquit spatial data collect approach use spatial video can use improv analysi involv participatori collabor case studi will use illustr approach three health risk map street scale coastal communiti haitimethod spatial video use collect street build scale inform includ stand water trash accumul presenc dog cohort specif popul characterist cultur phenomena data digit googl earth code analyz gis use kernel densiti spatial filter approach concentr risk around area school sometim sourc diarrheal diseas infect high concentr children variabl sanitari practic will show util method addit school offer potenti locat cholera educ interventionsresult previous unavail fine scale health risk data vari concentr across town school proxim greater concentr map risk spatial video also use valid code data locat specif risk within hotspotsconclus spatial video tool can use environ improv local area health analysi intervent process rapid can repeat studi site time track spatiotempor dynam communiti simplic also use encourag local participatori collabor

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