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. 2020 Nov;103(5):2040-2053.
doi: 10.4269/ajtmh.20-0080.

Space-Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia

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Space-Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia

Michael R Desjardins et al. Am J Trop Med Hyg. 2020 Nov.

Abstract

Vector-borne diseases affect more than 1 billion people a year worldwide, causing more than 1 million deaths, and cost hundreds of billions of dollars in societal costs. Mosquitoes are the most common vectors responsible for transmitting a variety of arboviruses. Dengue fever (DENF) has been responsible for nearly 400 million infections annually. Dengue fever is primarily transmitted by female Aedes aegypti and Aedes albopictus mosquitoes. Because both Aedes species are peri-domestic and container-breeding mosquitoes, dengue surveillance should begin at the local level-where a variety of local factors may increase the risk of transmission. Dengue has been endemic in Colombia for decades and is notably hyperendemic in the city of Cali. For this study, we use weekly cases of DENF in Cali, Colombia, from 2015 to 2016 and develop space-time conditional autoregressive models to quantify how DENF risk is influenced by socioeconomic, environmental, and accessibility risk factors, and lagged weather variables. Our models identify high-risk neighborhoods for DENF throughout Cali. Statistical inference is drawn under Bayesian paradigm using Markov chain Monte Carlo techniques. The results provide detailed insight about the spatial heterogeneity of DENF risk and the associated risk factors (such as weather, proximity to Aedes habitats, and socioeconomic classification) at a fine level, informing public health officials to motivate at-risk neighborhoods to take an active role in vector surveillance and control, and improving educational and surveillance resources throughout the city of Cali.

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Figures

Figure 1.
Figure 1.
Neighborhoods in Cali, Colombia, and their ranking by socioeconomic strata (1–6). This figure appears in color at www.ajtmh.org.
Figure 2.
Figure 2.
Temporal distribution of weekly dengue fever (DENF) cases in Cali, Colombia from January 2015 through December 2016 (top); spatial distribution of DENF cases for the study period (bottom). This figure appears in color at www.ajtmh.org.
Figure 3.
Figure 3.
Temporal cross sections of model 2 posterior values for each neighborhood of dengue fever (DENF) rates (per 1,000) in Cali, Colombia. This figure appears in color at www.ajtmh.org.

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