Spatiotemporal clustering, climate periodicity, and social-ecological risk factors for dengue during an outbreak in Machala, Ecuador, in 2010
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Resumen
Our findings highlight the importance of geospatial information in dengue surveillance and the potential to develop a climate-driven spatiotemporal prediction model to inform disease prevention and control interventions. This study provides an operational methodological framework that can be applied to understand the drivers of local dengue risk.
Cómo citar
Anna M. Stewart‐Ibarra, & Ángel G. Muñoz, & Sadie J. Ryan, & Efraín Beltrán Ayala, & Mercy J. Borbor‐Cordova, & Julia L. Finkelstein, & Raúl Méjía, & Tania Ordoñez, & G. Cristina Recalde-Coronel, & Keytia Rivero (2014). Spatiotemporal clustering, climate periodicity, and social-ecological risk factors for dengue during an outbreak in Machala, Ecuador, in 2010. https://doi.org/10.1186/s12879-014-0610-4