Spatial video geonarratives and health: case studies in post-disaster recovery, crime, mosquito control and tuberculosis in the homeless

International Journal of Health Geographics

Peter R Kerndt²  Chaz Felix³  Laura Schuch¹  Lauren Porter⁵  Eric Jefferis⁷  Steve Smith⁴  Eric Shook⁶  Jacqueline W Curtis¹  Andrew Curtis¹ 

[1]Department of Geography, GIS Health and Hazards Lab, Kent State University, #413 McGilvrey Hall, Kent 44242, OH, USA

[2]Tuberculosis Control Program, County of Los Angeles Department of Public Health, Los Angeles, CA, USA

[3]Gould School of Law, USC, Los Angeles, CA, USA

[4]Geography, Department of Social Sciences, Missouri Southern State University, 3950 E. Newman Road, Joplin 64801, MO, USA

[5]Department of Criminology and Criminal Justice, University of Maryland, College Park, MD, USA

[6]Department of Geography, High-Performance Computing and GIS Lab, Kent State University, #407a McGilvrey Hall, Kent 44242, OH, USA

[7]Department of Social and Behavioral Science, College of Public Health, Kent State University, Kent, OH, USA

关键词: Tuberculosis;    Mosquito control;    Crime;    Post-disaster recovery;    Context;    Narrative;    Global positioning system (GPS);    Geographic information system (GIS);    Spatial video geonarrative (SVG);   

Others  :  1230483
DOI  :  10.1186/s12942-015-0014-8

 received in 2015-06-25, accepted in 2015-07-27,  发布年份 2015

【 摘 要 】

Background

A call has recently been made by the public health and medical communities to understand the neighborhood context of a patient’s life in order to improve education and treatment. To do this, methods are required that can collect “contextual” characteristics while complementing the spatial analysis of more traditional data. This also needs to happen within a standardized, transferable, easy-to-implement framework.

Methods

The Spatial Video Geonarrative (SVG) is an environmentally-cued narrative where place is used to stimulate discussion about fine-scale geographic characteristics of an area and the context of their occurrence. It is a simple yet powerful approach to enable collection and spatial analysis of expert and resident health-related perceptions and experiences of places. Participants comment about where they live or work while guiding a driver through the area. Four GPS-enabled cameras are attached to the vehicle to capture the places that are observed and discussed by the participant. Audio recording of this narrative is linked to the video via time stamp. A program (G-Code) is then used to geotag each word as a point in a geographic information system (GIS). Querying and density analysis can then be performed on the narrative text to identify spatial patterns within one narrative or across multiple narratives. This approach is illustrated using case studies on post-disaster psychopathology, crime, mosquito control, and TB in homeless populations.

Results

SVG can be used to map individual, group, or contested group context for an environment. The method can also gather data for cohorts where traditional spatial data are absent. In addition, SVG provides a means to spatially capture, map and archive institutional knowledge.

Conclusions

SVG GIS output can be used to advance theory by being used as input into qualitative and/or spatial analyses. SVG can also be used to gain near-real time insight therefore supporting applied interventions. Advances over existing geonarrative approaches include the simultaneous collection of video data to visually support any commentary, and the ease-of-application making it a transferable method across different environments and skillsets.

【 授权许可】

   
2015 Curtis et al.

【 图 表 】

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【 参考文献 】

• [1]Sheller M, Urry J: The new mobilities paradigm. Environ Plan A. 2006, 38(2):207-226.
• [2]Jones P, Bunce G, Evans J, Gibbs H, Hein JR: Exploring space and place with walking interviews. J Res Pract. 2008, 4(2):2.
• [3]Carpiano RM: Come take a walk with me: the “Go-Along” interview as a novel method for studying the implications of place for health and well-being. Health Place. 2009, 15(1):263-272.
• [4]Miaux S, Drouin L, Morency P, Paquin S, Gauvin L, Jacquemin C: Making the narrative walk-in-real-time methodology relevant for public health intervention: towards an integrative approach. Health Place. 2010, 16(6):1166-1173.
• [5]Riley M: Emplacing the research encounter: exploring farm life histories. Qual Inq. 2010, 16(8):651-662.
• [6]Mullins PM: The commonplace journey methodology: exploring outdoor recreation activities through theoretically-informed reflective practice. Qual Res. 2014, 14(5):567-585.
• [7]Oliver MN: Mapping primary care: putting our patients in context. J Am Board Fam Med. 2010, 23(1):1-3.
• [8]Garner AS, Shonkoff JP, Siegel BS, Dobbins MI, Earls MF, McGuinn L, et al.: Early childhood adversity, toxic stress, and the role of the pediatrician: translating developmental science into lifelong health. Pediatrics 2012, 129(1):e224-e231.
• [9]Parker EA, Schulz AJ, Israel BA, Hollis R: Detroit’s East Side Village Health Worker Partnership: community-based lay health advisor intervention in an urban area. Health Educ Behav. 1998, 25(1):24-45.
• [10]Corburn J: Bringing local knowledge into environmental decision making improving urban planning for communities at risk. J Plan Educ Res. 2003, 22(4):420-433.
• [11]Mason MJ, Mennis J, Coatsworth JD, Valente T, Lawrence F, Pate P: The relationship of place to substance use and perceptions of risk and safety in urban adolescents. J Environ Psychol. 2009, 29(4):485-492.
• [12]Matthews SA, Yang T-C: Spatial polygamy and contextual exposures (SPACEs): promoting activity space approaches in research on place and health. Am Behav Sci. 2013, 57(8):1057-1081.
• [13]Mennis J, Mason MJ, Cao Y: Qualitative GIS and the visualization of narrative activity space data. Int J Geogr Inf Sci 2013, 27(2):267-291.
• [14]Kwan M-P, Ding G: Geo-narrative: extending geographic information systems for narrative analysis in qualitative and mixed-method research*. Prof Geogr. 2008, 60(4):443-465.
• [15]Kwan M-P: The uncertain geographic context problem. Ann Assoc Am Geogr 2012, 102(5):958-968.
• [16]Kwan M-P: How GIS can help address the uncertain geographic context problem in social science research. Ann GIS. 2012, 18(4):245-255.
• [17]Jung JK, Elwood S: Extending the qualitative capabilities of GIS: computer-aided qualitative GIS. Trans GIS 2010, 14(1):63-87.
• [18]Knigge L, Cope M: Grounded visualization: integrating the analysis of qualitative and quantitative data through grounded theory and visualization. Environ Plan A. 2006, 38(11):2021.
• [19]Hawthorne TL, Kwan M-P: Exploring the unequal landscapes of healthcare accessibility in lower-income urban neighborhoods through qualitative inquiry. Geoforum 2013, 50:97-106.
• [20]Bell SL, Phoenix C, Lovell R, Wheeler BW: Using GPS and geo-narratives: a methodological approach for understanding and situating everyday green space encounters. Area. 2015, 47(1):88-96.
• [21]Rundle AG, Bader MD, Richards CA, Neckerman KM, Teitler JO: Using Google Street View to audit neighborhood environments. Am J Prev Med 2011, 40(1):94-100.
• [22]Odgers CL, Caspi A, Bates CJ, Sampson RJ, Moffitt TE: Systematic social observation of children’s neighborhoods using Google Street View: a reliable and cost-effective method. J Child Psychol Psychiatry 2012, 53(10):1009-1017.
• [23]Kelly CM, Wilson JS, Baker EA, Miller DK, Schootman M: Using Google Street View to audit the built environment: inter-rater reliability results. Ann Behav Med 2013, 45(1):108-112.
• [24]Curtis A, Duval-Diop D, Novak J: Identifying spatial patterns of recovery and abandonment in the post-Katrina Holy Cross neighborhood of New Orleans. Cartogr Geogr Inform Sci. 2010, 37(1):45-56.
• [25]Curtis A, Mills JW: Spatial video data collection in a post-disaster landscape: the Tuscaloosa Tornado of April 27th 2011. Appl Geogr. 2012, 32(2):393-400.
• [26]Curtis A, Mills JW: Crime in urban post-disaster environments: a methodological framework from New Orleans. Urban Geogr. 2011, 32(4):488-510.
• [27]Curtis A, Blackburn JK, Widmer JM, Morris JG Jr: A ubiquitous method for street scale spatial data collection and analysis in challenging urban environments: mapping health risks using spatial video in Haiti. Int J Health Geogr. 2013, 12(1):21.
• [28]Waring S, Zakos-Feliberti A, Wood R, Stone M, Padgett P, Arafat R: The utility of geographic information systems (GIS) in rapid epidemiological assessments following weather-related disasters: methodological issues based on the Tropical Storm Allison Experience. Int J Hyg Environ Health 2005, 208(1):109-116.
• [29]Curtis A, Fagan WF: Capturing damage assessment with a spatial video: an example of a building and street-scale analysis of tornado-related mortality in Joplin, Missouri, 2011. Ann Assoc Am Geogr 2013, 103(6):1522-1538.
• [30]North CS, Oliver J, Pandya A: Examining a comprehensive model of disaster-related posttraumatic stress disorder in systematically studied survivors of 10 disasters. Am J Public Health 2012, 102(10):e40-e48.
• [31]Gruebner O, Lowe SR, Sampson L, Galea S: The geography of post-disaster mental health: spatial patterning of psychological vulnerability and resilience factors in New York City after Hurricane Sandy. Int J Health Geogr. 2015, 14(1):16.
• [32]Cromley EK, McLafferty SL: GIS and public health. Guilford Press, New York; 2011.
• [33]White K, Borrell LN: Racial/ethnic residential segregation: framing the context of health risk and health disparities. Health Place. 2011, 17(2):438-448.
• [34]Fielding NG: Triangulation and mixed methods designs data integration with new research technologies. J Mixed Methods Res. 2012, 6(2):124-136.
• [35]Sampson RJ: Neighborhood inequality, violence, and the social infrastructure of the American city. In Research on schools, neighborhoods, and communities: toward civic responsibility. Edited by Tate WF IV. Rowman & Littlefield Publishers Inc, Lanham; 2012:11-28.
• [36]Shepard CW, Gortakowski HW, Nasrallah H, Cutler BH, Begier EM: Using GIS-based density maps of HIV surveillance data to identify previously unrecognized geographic foci of HIV burden in an urban epidemic. Public Health Rep 2011, 126(5):741.
• [37]Chan DV, Helfrich CA, Hursh NC, Rogers ES, Gopal S: Measuring community integration using geographic information systems (GIS) and participatory mapping for people who were once homeless. Health Place. 2014, 27:92-101.
• [38]Davidson PJ, Scholar S, Howe M: A GIS-based methodology for improving needle exchange service delivery. Int J Drug Policy 2011, 22(2):140-144.
• [39]Tausczik YR, Pennebaker JW: The psychological meaning of words: IIWC and computerized text analysis methods. J Lang Social Psychol. 2010, 29(1):24-54.
• [40]Esuli A, Sebastiani F, editors. Sentiwordnet: a publicly available lexical resource for opinion mining. Proceedings of LREC, 2006, Citeseer.
• [41]Boulos MN, Curtis AJ, AbdelMalik P: Musings on privacy issues in health research involving disaggregate geographic data about individuals. Int J Health Geogr. 2009, 8(1):46.