Predicting Pandemic Curve Distribution Using Statistical Models
Keywords:Coronavirus, Pandemic Curve Distribution, Exponential Distribution
This article discusses the distribution of pandemic in the world and pandemic curve in Jordan and
how the science of probability and statistics predict when active cases tend to zero by determining the
shape of epidemic curve and relating it to a special probability distribution that has specific measures
and properties. At the beginning of the outbreak of any virus in a society, reliable data describing it
and its spread will be rare, hence researchers set up statistical models that have the ability to predict
the spreads’ shape, where the prospected people hosting such viruses will go to and the likelihood of
transmitting it to places they travel. Those models use known statistical measures that estimate the
probability of disease transmission from infected people to others. In addition, the factors related to
roads and people’s movement, taking into consideration, public health interventions, such as wearing
masks, closing places of people’s aggregations like schools, universities mosques and churches and
quarantine make difference in numbers of infected people. The fundamental differences between the
“Spanish flu” that attacked the world a hundred years ago and “Coronavirus” the world facing since
the beginning of the current year 2020 is the amount of huge data concluded from scientific studies and
reports related to virology and epidemiology.
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