Predicting Disease Outbreaks from Space
These visualizations were created for the May 18, 2012 Library of Congress Talk Predictiding Disease Outbreaks from Space. In this talk NASA scientist Assaf Anyamba, will present how using remote-sensing data we can see links among weather, diseases and famine.
An early warning system more than a decade in development successfully predicted the 2006-2007 outbreak of the deadly Rift Valley Fever (RVF) in East Africa and subsequent outbreaks in Sudan (2007) and South Africa (2008-2011). RVF is a deadly hemorrhagic disease transmitted by mosquitoes that infects livestock and human populations episodically. An international team of research scientists, public-health professionals, agricultural specialists and military personnel had worked for a decade to successfully predict when and where an outbreak of RVF would occur.
Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio
Datasets used in this visualization
Aqua Sea Surface Temperature AnomalyID: 239Collected with AMSR-E 10/01/2005 - 05/29/2010
CPC ARC (Climate Prediction Center (CPC) Africa Rainfall Estimate Climatology)ID: 709Data Compilation NOAA CPC
Input data used for operational rainfall estimates are from 4 sources: 1) Daily GTS rain gauge data for up to 1000 stations 2) AMSU microwave satellite precipitation estimates up to 4 times per day 3) SSM/I satellite rainfall estimates up to 4 times per day 4) GPI cloud-top IR temperature precipitation estimates on a half-hour basis.
This dataset can be found at: http://www.cpc.ncep.noaa.gov/products/fews/AFR_CLIM/afr_clim.shtmlSee all pages that use this dataset
Note: While we identify the data sets used in these visualizations, we do not store any further details, nor the data sets themselves on our site.