Nov 9, 2018

Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka

BioRxiv : the Preprint Server for Biology
Ying ZhangLauren Gardner

Abstract

Background: More than 80,000 dengue cases including 215 deaths were reported nationally in less than seven months between 2016-2017, a fourfold increase in the number of reported cases compared to the average number over 2010-2016. The region of Negombo, located in the Western province, experienced the greatest number of dengue cases in the country and is the focus area of our study, where we aim to capture the spatial-temporal dynamics of dengue transmission. Methods: We present a statistical modeling framework to evaluate the spatial-temporal dynamics of the 2016-2017 dengue outbreak in the Negombo region of Sri Lanka as a function of human mobility, land-use, and climate patterns. The analysis was conducted at a 1 km * 1 km spatial resolution and a weekly temporal resolution. Results: Our results indicate human mobility to be a stronger indicator for local outbreak clusters than land-use or climate variables. The minimum daily temperature was identified as the most influential climate variable on dengue cases in the region; while among the set of land-use patterns considered, urban areas were found to be most prone to dengue outbreak, followed by areas with stagnant water and then coastal areas. The results are shown to be r...Continue Reading

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Mentioned in this Paper

Dengue Fever
Study
Patterns
Spatial Distribution
Evaluation
Genetic Vectors
Local
Statistical Technique
Analysis
Gene Clusters

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