ao link

News

BT plans to roll out 300 Street Hub 2.0 units across the UK

BT plans to roll out 300 Street Hub 2.0 units across the UK

Italian tourist destination to become smart city prototype

Italian tourist destination to become smart city prototype

News

Smart sewer tech saves City of South Bend $400m

Smart sewer tech saves City of South Bend $400m

BT plans to roll out 300 Street Hub 2.0 units across the UK

BT plans to roll out 300 Street Hub 2.0 units across the UK

News

Smart sewer tech saves City of South Bend $400m

Smart sewer tech saves City of South Bend $400m

The 10 start-ups confronting climate change head-on

The 10 start-ups confronting climate change head-on

News

Companies join forces for transnational electric vehicle charging

Companies join forces for transnational electric vehicle charging

Italian tourist destination to become smart city prototype

Italian tourist destination to become smart city prototype

News

BT plans to roll out 300 Street Hub 2.0 units across the UK

BT plans to roll out 300 Street Hub 2.0 units across the UK

Glasgow City Council launches data hub to provide insight on how city operates

Glasgow City Council launches data hub to provide insight on how city operates

You are viewing 1 of 1 articles without an email address.


All our articles are FREE to read, but complete your details for FREE access to full site!

Already a Member?
Login Join us now

Smart Dubai uses dashboard data to fight Covid-19

It has identified new use cases for the dashboard which includes one that generates forecasts on the possible growth in Covid-19 cases in different areas at risk of becoming hotspots.

LinkedInTwitterFacebook
The dashboard will help estimate the potential growth or decline of Dubai's Covid-19 cases
The dashboard will help estimate the potential growth or decline of Dubai's Covid-19 cases

Smart Dubai has identified two new uses cases of its Smart Control Dashboard Covid-19 to help the emirate’s ongoing fight against the coronavirus.

 

The dashboard was launched in partnership with Dubai’s Covid-19 Command and Control Centre as part of the Data Science Lab initiative to monitor and predict the spread of the coronavirus and process and analyse data on related developments.

 

Epidemiology equation

 

The dashboard relies on a well-known epidemiology equation known as SEIR (susceptible-exposed-infected-resistant) to forecast the number of potential cases.

 

The data science team at Smart Dubai expanded on this model, in order to take into account specific factors of Covid-19, such as expected asymptomatic patients, government intervention on physical distancing and testing, and the incubation period of the virus, among other factors.

 

It analyses various data points, such as information on total number of infections by type (asymptomatic, mildly symptomatic, moderately symptomatic, and severely symptomatic), cumulative number of infections, recoveries, and critical cases across Dubai, as well as projected number of potential cases per category.

 

One of the new use cases, currently still being tested, considers the population density of areas in Dubai, as well as areas that usually attract large crowds, to generate forecasts on the possible growth in Covid-19 cases in different areas in Dubai.

 

Eventually, the areas at risk of becoming hotspots can be identified in advance. Once fully operational, the results will be added to the dashboard.

 

The other use case, once fully studied and ready to be launched, will help estimate the potential growth or decline of Covid-19 cases in Dubai based on simulated interaction and mobility of people across different venues in the emirate (for example, workplaces, schools, shopping malls and more).

 

The simulation is testing various likely scenarios, such as the reopening of schools, resuming public transportation services with fewer or no restrictions, and operating restaurants at full capacity, among many others. The system then calculates the possible rise or drop in Covid-19 cases in each scenario, or any combination of these scenarios.

“The Data Science Lab acts as a production line for use cases, identifying real-world problems, and generating innovative data-science-based solutions to overcome them”

The use case will also leverage data available on Smart Dubai’s Dubai Pulse data platform, which includes data collected from various Dubai Government entities. This includes the distribution of buildings around the city, the population in each community, the location of retail and consumer goods stores, and frequency of using public transportation.

 

The results from these simulations will allow the emirate’s leadership to implement calculated and appropriate precautionary measures to ensure minimal or no infections. The simulation can also be extended to forecast possible waves of different pandemics.

 

Further expansion

 

The aforementioned use cases harness novel approaches coming from different scientific disciplines to address unprecedented challenges to eventually make wise and timely decisions. Smart Dubai plans to further expand these use cases to serve different possible purposes, such as urban planning. Eventually, this sets the stage for creating a data science ecosystem in the city and incentivises joint projects between entities.

 

“Data is at the core of all smart city plans. It acts as the fuel powering advanced technologies from artificial intelligence to blockchain and the Internet of Things,” said Younus Al Nasser, assistant director general, Smart Dubai and CEO of the Dubai Data Establishment. “Smart Dubai is on a mission to build a world-leading smart city right here in Dubai, and a key element in our blueprint for this city of the future is a robust data infrastructure and a collection of ambitious data initiatives.

 

He added: “The Data Science Lab is one such notable initiative. It acts as a production line for use cases, identifying real-world problems, and generating innovative data-science-based solutions to overcome them and – in the process – bring about economic and social benefits.”

 

You might also like:

LinkedInTwitterFacebook
Add New Comment
You must be a member if you wish to add a comment - why not join for free - it takes just 60 seconds!