• Our digital applications need to be strengthened to cope with the impact of COVID-19 and future public health crises;
  • Better integration in AI’s public health response is a priority;
  • A large analysis of citizens’ movement, patterns of disease transmission, and health monitoring can be used to assist prevention measures.

World had been witnessed the rise of SARS, Zika virus, Ebola and now COVID-19. Outbreaks are a rising threat.

Cities around the world have made infrastructure innovation a priority to protect their physical systems to remain robust and antifragile for natural disasters such as earthquakes, tsunamis, and hurricanes. However, for epidemics and biological disasters see.

Now, at the time of this crisis, the primary challenge is to integrate and configure digital operation at various stages of public health intervention, especially in the context of epidemic forecast and decision making. Artificial Intelligence Internet Objects (IoT) may be able to keep this new virus within reasonable limits.


Pressure on digital infrastructure

Governments now rely on ubiquitous tools (sensors) and powerful algorithms. In the war against COVID-19, many governments implemented these new surveillance tools.

World maps show how the reduction in people’s transportation significantly reduces carbon emissions in different countries, but what about emissions from digital technologies? Does the volume of people who work from home or use digital devices in quarantine cause an increase in emissions from other causes? What is being done by large cloud providers to solve the capacity problem?


Estimating and modeling outbreaks

In the ongoing covid-19 pandemic, we see three major events worldwide:

1. Broader acceptance of online services;

2. A huge requirement for internet services for conventional industries;

3. Increasing connectivity between different types of industries.

These three streams of data provide important, real-time data on travel patterns that have been very difficult to quantify in programs that have been moving rapidly until recently, that spread disease and longitudinal changes in risk populations. As mobility increases exponentially and global connectivity grows, this information will be critical for planning surveillance and limitation strategies.

Some researchers and private organizations are developing HealthMap, together with the relevant state governments, a digital platform that visually represents disease outbreaks based on the location, time and type of infectious virus transmitted when entering the city.

Digital infrastructure plays an important role in predicting and modeling outbreaks. Get AI-powered services for lung CT scan: AI is pre-designed to quickly detect possible coronavirus pneumonia lesions; measure its volume, shape and density; and compare the changes in multiple lung lesions in the image. This provides a quantitative report to help doctors make quick decisions, thereby helping to speed up patients’ health assessment.


Matching citizens

Governments around the world are slowly developing their digital infrastructure and engineering capabilities to face the pandemic and alleviate the spread of COVID-19 through community-driven contact tracking technologies. This allows citizens and government to respond ambitiously and promptly to pandemic diseases with a range of digital tools to help spread information to their citizens in a timely and precise manner.

Many governments are encouraging private companies to develop innovative tools that benefit from hundreds of millions of facial recognition cameras and people reporting body temperature and medical condition. Thanks to these officials, we can quickly identify suspicious coronavirus carriers and identify everyone they contact. A number of mobile apps alert citizens to their proximity to infected patients.


Roadmap for a better future

The virus has brought a fresh start to digital infrastructure development. Using cloud, big data and artificial intelligence practices creates space for industries to develop new business models that help citizens understand the severity of pandemic disease and take preventive measures.

A stakeholder coalition (private and official) supports millions of funded pharmaceutical businesses to infect the virus. It will develop different financial models, such as public-private partnerships to modernize, upgrade and update our digital infrastructure, and to overcome this and future pandemics, and consumption / outcome-based models to alleviate the financial crisis in the development phase.

Now is the time to quickly follow the construction of new digital infrastructure such as IoT, as well as the huge infrastructure construction already in the countries, vital projects and financial incentive plans of the countries.