Graph properties of the epidemic trees built with dengue fever cases in Guangdong, China

Authors: Xun Shi*, Dartmouth College, Meifang Li, Sun Yat-sen University; Dartmouth College
Topics: Medical and Health Geography, Spatial Analysis & Modeling, Geographic Information Science and Systems
Keywords: health geography, spatial analysis, GIS
Session Type: Paper
Day: 4/10/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Lafayette, Marriott, River Tower Elevators, 41st Floor
Presentation File: No File Uploaded

With individual-level data of dengue fever cases in Guangdong, China, we conducted spatiotemporal analysis and constructed epidemic trees for them to represent the parent-child transmission relationship among the cases, as well as the epidemic process. The epidemic trees were built to be recursive, i.e., they are rooted at those initial cases in the area and each case is labeled according to its generation on the tree. We analyzed the graph properties of these trees, with an intention to quantitatively characterize and compare the spatiotemporal patterns of the spreads starting from individual initial cases. The properties we calculated and examined include: outgoing degree (number of children), which can be associated with Rt, a commonly used measurement for disease spread in epidemiology; height (length of the path to the leaf) and depth (length of the path to the root) of each case and its statistics; and positions of the center vertex and center edge, which would split the tree into exactly halves. For the outgoing degree, height, and depth, we calculated, for each tree, their descriptive statistics (maximum, minimum, mean, median, and standard deviation) and frequency distributions along generations and time.

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