Researchers at the Columbia University, Health department have
formulated a flu-predictor that can highlight peak cases as early as 9 weeks.
Flu-forecaster could be helpful in preparing people for the yearly influenza
epidemic, which is usually at its peak from December to April. Maximum flu
cases are recorded during this time.
This particular knowledge of a certain region being affected by
influenza endemic is useful for various reasons; primarily, it makes people
more cautious in maintaining hygiene so that they can avoid getting hit by flu.
This is especially important for infants and the elderly lot. Moreover, it allows public health officials
and doctors to arrange for influenza vaccines and medications beforehand.
The model incorporates flu-related search data from Google Flu
Trends and from the Centers for Disease Control. It also follows strategies
used in one of the most accurate flu-predictor: weather predictions, in order
to substantiate the indicators of the peak flu seasons. These trends collect
data from physical characteristics, in this case how influenza spreads from one
person to another, along with the historical background of the previous
infection trends. On a weekly basis this flu forecaster integrates the number
of reported flu cases by comparing it with its own forecast.
Bentham Science Publishers is a well reputed STM industry, which
has a diverse collection of eBooks and journals available on topics varying
from science, medicine, drug discovery, technology and the like. One of its
journals is “International
Journal of Sensors, Wireless Communications and Control” which has articles related
to this topic.
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