WHO, ITU to post billions on COVID-19 precautions via SMS

WHO, ITU to post billions on COVID-19 precautions via SMS
21 / 04 / 2020
By Marwa Nassar - -

The World Health Organization (WHO) will join hands with the International Telecommunication Union (ITU) and the United Nations Children’s Fund (UNICEF) to reach billions of people via SMS to post them on the COVID-19 preventive measures.

The WHO will send vital health messages to help billions of people – who do not have access to internet – get needed information to protect themselves from COVID-19.

Now more than ever, technology must ensure that everyone can access the information they need. The collaboration will start in the Asia Pacific region and then roll out globally. The goal is to reach everyone with vital health messages, whatever their connectivity level. An estimated 3.6 billion people remain offline, with most people who are unconnected living in low-income countries, where an average of just two out of every ten people are online.

ITU and WHO call on all telecommunication companies worldwide to join this initiative to help unleash the power of communication technology to save lives from COVID-19. This initiative builds on current efforts to disseminate health messages through the joint WHO-ITU BeHe@lthy BeMobile initiative.

Coronavirus disease (COVID-19) is the first pandemic in human history where technology and social media are being used on a massive scale to keep people safe, productive and connected while being physically apart.
Health workers are utilizing telemedicine to diagnose patients and hospitals rely on being connected to coordinate and triage them. Resilient and trustworthy telecommunication networks and services are essential, as more countries, companies and individuals turn to digital technologies to respond to and cope with the impact of COVID-19.

Building on their longstanding collaboration, ITU and WHO are committed to identifying and scaling best evidence-based digital health solutions and to leveraging frontier technologies such as artificial intelligence and big data to diagnose, contain and predict outbreaks better and faster. ​​

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