M2M to predict Public Health
M2M can reveal information that was once hidden from us. Came across this study that proposes to monitor the various parameters on Earth and use that as a predictor of disease outbreaks.
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Interconnectedness
At Sensors Expo last month, Gregory Withee, of the National Oceanic and Atmospheric Administration (NOAA), talked of the Global Earth Observation System of Systems (GEOSS), a global endeavor to acquire data on the earth and its health. For instance, researchers at the Biotechnology Institute at the University of Maryland discovered that cholera outbreaks in Calcutta, India, were more prevalent when the sea surface temperature is elevated and the sea is high. For more detail on this topic, read “Global climate and health: predicting infectious disease outbreaks” from The Encyclopedia of Earth. In the clincher graph, notice how the number of cholera cases follows the elevation in sea surface temperature and height. This correlation provides an early warning system, allowing public health officials in India to ramp up preventive efforts before a cholera outbreak kicks in.