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In this clip you will see four years

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covered in 100 seconds of data interplay, where over half a million of

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reported cases of Rift Valley Fever affected humans and livestock.

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This data visualization gives you the peek into

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the scientific research efforts of Dr. Assaf Anyamba, who for over 20

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years has been tracking diseases from space by combining

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hundreds of datasets from satellites and weather satellites

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with disease reports and mosquito samples. This is what big

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science is all about: big data all around from the ground and from space

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And science has proven that there’s a cause-and-effect pattern

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between climate events and infectious disease outbreaks.

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The climate patterns of El Niño and La Niña as measured in the Pacific Ocean

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near the Equator create weather anomalies

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whose ripple effects are felt with a two- to three-month delay in distant regions such as

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southern Africa. For example, the mild

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2009 to 2010 El Niño caused an above normal

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increase in rainfall and vegetation, which in turn, triggered

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a large outbreak of mosquito-borne Rift Valley Fever.

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We created this data visualization with Dr. Assaf Anyamba

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to showcase complex data associations and allow the viewers to track the

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key indicators over a period of time. In a sense,

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this visualization allows you, the viewer, to see

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with Dr. Anyamba’s eyes and be guided to the conclusions by the data.