Mapping Multi-Disease Risk during El Niño: An Ecosyndemic Approach
1
Department of Geography and Environmental Sciences, University of Colorado Denver, Denver, CO 80217-3364, USA
2
Consortium for Capacity Building/Institute for Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309-0450, USA
3
Department of Geography and GIS, University of Northern Colorado, Greeley, CO 80639, USA
4
Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI 48824, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(12), 2639; https://doi.org/10.3390/ijerph15122639
Received: 15 September 2018
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Revised: 4 November 2018
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Accepted: 21 November 2018
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Published: 25 November 2018
(This article belongs to the Special Issue Extreme Weather Events and Health)
El Niño is a quasi-periodic pattern of climate variability and extremes often associated with hazards and disease. While El Niño links to individual diseases have been examined, less is known about the cluster of multi-disease risk referred to as an ecosyndemic, which emerges during extreme events. The objective of this study was to explore a mapping approach to represent the spatial distribution of ecosyndemics in Piura, Peru at the district-level during the first few months of 1998. Using geographic information systems and multivariate analysis, descriptive and analytical methodologies were employed to map disease overlap of 7 climate-sensitive diseases and construct an ecosyndemic index, which was then mapped and applied to another El Niño period as proof of concept. The main findings showed that many districts across Piura faced multi-disease risk over several weeks in the austral summer of 1998. The distribution of ecosyndemics were spatially clustered in western Piura among 11 districts. Furthermore, the ecosydemic index in 1998 when compared to 1983 showed a strong positive correlation, demonstrating the potential utility of the index. The study supports PAHO efforts to develop multi-disease based and interprogrammatic approaches to control and prevention, particularly for climate and poverty-related infections in Latin America and the Caribbean.
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Keywords:
syndemic; El Niño; infectious disease; diarrhea; malaria; respiratory; cholera; spatial cluster; GIS
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MDPI and ACS Style
Ramírez, I.J.; Lee, J.; Grady, S.C. Mapping Multi-Disease Risk during El Niño: An Ecosyndemic Approach. Int. J. Environ. Res. Public Health 2018, 15, 2639. https://doi.org/10.3390/ijerph15122639
AMA Style
Ramírez IJ, Lee J, Grady SC. Mapping Multi-Disease Risk during El Niño: An Ecosyndemic Approach. International Journal of Environmental Research and Public Health. 2018; 15(12):2639. https://doi.org/10.3390/ijerph15122639
Chicago/Turabian StyleRamírez, Ivan J., Jieun Lee, and Sue C. Grady. 2018. "Mapping Multi-Disease Risk during El Niño: An Ecosyndemic Approach" International Journal of Environmental Research and Public Health 15, no. 12: 2639. https://doi.org/10.3390/ijerph15122639
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