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Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti

Author

Listed:
  • Andrew Curtis

    (GIS, Health & Hazards Lab, Department of Geography, Kent State University, Kent, OH 44242, USA)

  • Jason K. Blackburn

    (Spatial Epidemiology and Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL 32611, USA
    Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA)

  • Sarah L. Smiley

    (GIS, Health & Hazards Lab, Department of Geography, Kent State University at Salem, Salem, OH 44460, USA)

  • Minmin Yen

    (Department of Molecular Biology and Microbiology, Howard Hughes Medical Institute, Tufts University School of Medicine, Boston, MA 02111, USA)

  • Andrew Camilli

    (Department of Molecular Biology and Microbiology, Howard Hughes Medical Institute, Tufts University School of Medicine, Boston, MA 02111, USA)

  • Meer Taifur Alam

    (Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA)

  • Afsar Ali

    (Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA)

  • J. Glenn Morris

    (Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA)

Abstract

The cartographic challenge in many developing world environments suffering a high disease burden is a lack of granular environmental covariates suitable for modeling disease outcomes. As a result, epidemiological questions, such as how disease diffuses at intra urban scales are extremely difficult to answer. This paper presents a novel geospatial methodology, spatial video, which can be used to collect and map environmental covariates, while also supporting field epidemiology. An example of epidemic cholera in a coastal town of Haiti is used to illustrate the potential of this new method. Water risks from a 2012 spatial video collection are used to guide a 2014 survey, which concurrently included the collection of water samples, two of which resulted in positive lab results “of interest” (bacteriophage specific for clinical cholera strains) to the current cholera situation. By overlaying sample sites on 2012 water risk maps, a further fifteen proposed water sample locations are suggested. These resulted in a third spatial video survey and an additional “of interest” positive water sample. A potential spatial connection between the “of interest” water samples is suggested. The paper concludes with how spatial video can be an integral part of future fine-scale epidemiological investigations for different pathogens.

Suggested Citation

  • Andrew Curtis & Jason K. Blackburn & Sarah L. Smiley & Minmin Yen & Andrew Camilli & Meer Taifur Alam & Afsar Ali & J. Glenn Morris, 2016. "Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti," IJERPH, MDPI, vol. 13(2), pages 1-13, February.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:2:p:187-:d:63368
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    Citations

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    Cited by:

    1. Jayakrishnan Ajayakumar & Andrew Curtis & Steve Smith & Jacqueline Curtis, 2019. "The Use of Geonarratives to Add Context to Fine Scale Geospatial Research," IJERPH, MDPI, vol. 16(3), pages 1-15, February.
    2. Andrew Curtis & Robert Squires & Vanessa Rouzier & Jean William Pape & Jayakrishnan Ajayakumar & Sandra Bempah & Meer Taifur Alam & Md. Mahbubul Alam & Mohammed H. Rashid & Afsar Ali & John Glenn Morr, 2019. "Micro-Space Complexity and Context in the Space-Time Variation in Enteric Disease Risk for Three Informal Settlements of Port au Prince, Haiti," IJERPH, MDPI, vol. 16(5), pages 1-18, March.
    3. Andrew Curtis & Sandra Bempah & Jayakrishnan Ajayakumar & Dania Mofleh & Lorriane Odhiambo, 2018. "Spatial Video Health Risk Mapping in Informal Settlements: Correcting GPS Error," IJERPH, MDPI, vol. 16(1), pages 1-13, December.
    4. Suphanut Jamonnak & Deepshikha Bhati & Md Amiruzzaman & Ye Zhao & Xinyue Ye & Andrew Curtis, 2022. "VisualCommunity: a platform for archiving and studying communities," Journal of Computational Social Science, Springer, vol. 5(2), pages 1257-1279, November.

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