Wearable devices are a breeding ground for pathogens, warn experts, with research indicating that hand hygiene practices are negated if these remain unsanitised
A study carried out by the Mohammed bin Rashid University of Medicine and Health Sciences (MBRU), in collaboration with Dubai Police and Australia’s Bond University in Queensland, has highlighted the need for mobile phones and smartwatch sanitisation to b
New Dubai model to predict Covid spread
Photo (for illustrative purposes): Wam
It could be utilised and extended by decision makers and researchers in other countries for current or future pandemics.
Dubai entities have developed a new epidemiological model to predict Covid-19 spread.
Researchers at Smart Dubai and the Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) developed and tested a specialised version of the Susceptible-Exposed-Infected-Removed (SEIR) model, which is better able to capture the unique dynamics of the Covid-19 outbreak.
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SEIR model is widely used in epidemiology to mathematically model the spread of infectious diseases with incubation periods.
Smart Dubai, MBRU develop a novel COVID-19 epidemiological model Sun 02nd May 2021 | 07:15 PM
DUBAI, (UrduPoint / Pakistan Point News / WAM - 02nd May, 2021) Smart Dubai and the Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) developed a novel epidemiological model to predict COVID-19 spread.
The newly developed model is a specialised compartmental version of the SEIR (Susceptible-Exposed-Infected-Removed) model, widely used in epidemiology to mathematically model the spread of infectious diseases with incubation periods.
The SEIR model prototype is generally considered generic and unable to capture the unique nature of a novel viral pandemic, such as COVID-19. With that in mind, researchers at Smart Dubai and MBRU developed and tested a specialised version of the SEIR model, called SEAHIR (Susceptible-Exposed-Asymptomatic-Hospitalised-Isolated-Removed) model, which was better able to capture the unique dynamics of the COVID-19 outbreak. The work was rec