The World Health Organization (WHO) and regulators in a few countries have teamed up with technology firms to launch a blockchain-powered platform called MiPasa to help in efficiently combating the ongoing Coronavirus (COVID-19) pandemic.

Misinformation and false news have paralyzed regions and countries as it prevents in effectively combating the global pandemic. At the same time, ignoring the severity or underplaying the risk in letting it spread, is irresponsible.

Though there are severe options to handle these by resorting to extreme and sweeping measures, these could infringe on privacy and severely damage the security, safety and quality of life of people.

Utilizing powerful analytics and privacy tools that were up until now only available to elite financial institutions, MiPasa was developed and launched in partnership with company IBM, enterprise software firm Oracle, enterprise blockchain platform Hacera and technology giant Microsoft.

The other partners include Centers for Disease Control and Prevention (U.S. CDC), European Centre for Disease, Prevention and Control, Hong Kong Department of Health, Johns Hopkins University, National Health Commission of the People's Republic of China (NHC) and Chinese Center for Disease Control and Prevention (China CDC).

MiPasa is a global-scale control and communication system that will enable swift and more precise early detection of COVID-19 carriers and infection hotspots through seamless and fully private information sharing on blockchain between individuals, state authorities and health institutions such as hospitals and HMOs, utilizing advanced technological tools and a dedicated user app.

The MiPasa platform will help gather reliable, quality data, and make it easily accessible to the appropriate entities in order to efficiently battle the ongoing Coronavirus pandemic in a humane, fair and more sustainable manner.

MiPasa is claimed to be the first tool to securely and democratically manage COVID-19 outbreaks, helping monitor and foresee local and global epidemiological trends and detect likely asymptomatic carriers by feeding big data on infection routes and occurrences to powerful AI processors around the world.

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