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Mapping the Structure of Social Vulnerability Systems for Malaria in East Africa

Author

Listed:
  • Linda Menk

    (Paris-Lodron-University of Salzburg, Interfaculty Department of Geoinformatics—Z_GIS, Schillerstr. 30, 5020 Salzburg, Austria)

  • Christian Neuwirth

    (Paris-Lodron-University of Salzburg, Interfaculty Department of Geoinformatics—Z_GIS, Schillerstr. 30, 5020 Salzburg, Austria)

  • Stefan Kienberger

    (Paris-Lodron-University of Salzburg, Interfaculty Department of Geoinformatics—Z_GIS, Schillerstr. 30, 5020 Salzburg, Austria)

Abstract

Millions of people fall ill with malaria every year—most of them are located in sub-Saharan Africa. The weight of the burden of malaria on a society is determined by a complex interplay of environmental and social factors, including poverty, awareness and education, among others. A substantial share of the affected population is characterized by a general lack of anticipation and coping capacities, which renders them particularly vulnerable to the disease and its adverse side effects. This work aims at identifying interdependencies and feedback mechanisms in the malaria social vulnerability system and their variations in space by combining concepts, methods and tools from Climate Change Adaptation, Spatial Analysis, and Statistics and System Dynamics. The developed workflow is applied to a selected set of social, economic and biological vulnerability indicators covering five East-African Nations. As the study areas’ local conditions vary in a multitude of aspects, the social vulnerability system is assumed to vary accordingly throughout space. The study areas’ spatial entities were therefore aggregated into three system-regions using correlation-based clustering. Their respective correlation structures are displayed as Causal Loop Diagrams (CLDs). While the three resulting CLDs do not necessarily display causal relations (as the set of social vulnerability indicators are likely linked through third variables and parts of the data are proxies), they give a good overview of the data, can be used as basis for discussions in participatory settings and can potentially enhance the understanding the malaria vulnerability system.

Suggested Citation

  • Linda Menk & Christian Neuwirth & Stefan Kienberger, 2020. "Mapping the Structure of Social Vulnerability Systems for Malaria in East Africa," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:5112-:d:375331
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    References listed on IDEAS

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    1. Hauke Jan & Kossowski Tomasz, 2011. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data," Quaestiones Geographicae, Sciendo, vol. 30(2), pages 87-93, June.
    2. Scott Thacker & Scott Kelly & Raghav Pant & Jim W. Hall, 2018. "Evaluating the Benefits of Adaptation of Critical Infrastructures to Hydrometeorological Risks," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 134-150, January.
    3. Croux, C. & Dehon, C., 2010. "Influence Functions of the Spearman and Kendall Correlation Measures," Other publications TiSEM 5e8ee766-ee1e-4d6e-b035-6, Tilburg University, School of Economics and Management.
    4. Christophe Croux & Catherine Dehon, 2010. "Influence functions of the Spearman and Kendall correlation measures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 497-515, November.
    5. J. Birkmann & O. Cardona & M. Carreño & A. Barbat & M. Pelling & S. Schneiderbauer & S. Kienberger & M. Keiler & D. Alexander & P. Zeil & T. Welle, 2013. "Framing vulnerability, risk and societal responses: the MOVE framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 193-211, June.
    6. Laura Schmitt Olabisi & Saweda Liverpool-Tasie & Louie Rivers & Arika Ligmann-Zielinska & Jing Du & Riva Denny & Sandra Marquart-Pyatt & Amadou Sidibé, 2018. "Using participatory modeling processes to identify sources of climate risk in West Africa," Environment Systems and Decisions, Springer, vol. 38(1), pages 23-32, March.
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