IASM: A System for the Intelligent Active Surveillance of Malaria

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/2080937/figures/2080937.fig.007a.svgz" name="2080937.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Villages</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/2080937/figures/2080937.fig.007b.svgz" name="2080937.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Villages</td></tr></table>

<div>Distributions of the infected cases of 18 towns in 2010. The fitted results are depicted by the red line, while the ground truth data is depicted by the blue line. (a) The infected cases’ distribution with 22 attributes. (b) The infected cases’ distribution with 5 attributes.</div>

Computational and Mathematical Methods in Medicine

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Figure 7

Figure 7: IASM: A System for the Intelligent Active Surveillance of Malaria 