Local specialists complete viral early warning system

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KUWAIT CITY, Dec 22: Kuwaiti researchers have completed the first integrated and effective early warning system for viral epidemics for effective monitoring, prevention and control, as part of the study conducted by the two principal investigators from the Medical Sciences Center at Kuwait University Dr. Salman Al-Sabah from the College of Medicine and Dr. Muhammad Al-Khamis from the College of Health with the assistance of researchers, Dr. Muhammad Khaja from the Kuwait Institute for Scientific Research, Noor Bin Haider from the College of Public Health, Dr. Ahmed Nabil and Dr. Suleiman Al Mazeedi from the Ministry of Health, Dr. Sarah Al-Youha from the College of Medicine and the Ministry of Health, reports Al-Rai daily.

The daily said the research which is funded by the Kuwait Foundation for the Advancement of Sciences, is vital particularly when the world is traumatized by the Covid-19 virus and its mutations. The daily added, the researchers were able to demonstrate the ability of the prototype system to identify and estimate the evolution of the Covid-19 epidemic, its community transmission, temporal and spatial clusters, geographical risk distribution, and associated risk factors, in addition to the rate of genetic mutations and evolutionary and geographical origins.

The early warning system is based on the modeling and prediction of the temporal, spatio-logical and evolutionary dynamics of the Covid-19 epidemic in Kuwait, through the use of modern epidemiological tools such as temporal and spatial mathematical models, artificial intelligence, and biological evolution models that provide new and deeper insights into the dynamics of emerging diseases such as COVID-19. An initial early warning system that can be used in a sustainable and easy way, in depicting, analyzing, and communicating results almost immediately, would help in assessing the strategies of surveillance, prevention and containment of the emerging epidemic to the decision makers.

This news has been read 16448 times!

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