The technology from the article that I liked the most is the use of mobility data to evaluate COVID-19 interventions.

How it works
Smartphones were used to collect aggregated location data via GPS, cellular network and Wi-Fi.

Why it is important
Mobility data collected from smartphones was used to:
• Monitor real-time population flows during COVID-19
• Identify potential transmission hotspots
• Give insight into the effectiveness of public-health interventions, such as travel restrictions, on actual human behavior

Examples of how mobility data was used to enhance COVID-19 surveillance and response
• In China, daily aggregated origin-destination data from Baidu are used to evaluate the effect of travel restrictions and quarantine measures on COVID-19 transmission
• In Italy, analysis of location data of smartphone users revealed that in the week after the announcement of lockdown, total trips between Italian provinces was reduced to an estimate of 50%
• Google released publicly downloadable dataset on weekly mobility reports with sub-national granularity, including breakdown by journey type and destination (such as workplaces and parks)
• Apple also released a dataset similar to Google, with daily figures for mobility and assumed method of transport

Disadvantages of using Mobility Data
• Access to data is a major challenge
• Ethical and privacy concerns
• Datasets are limited
• No long-term commitment in place for data-sharing with technology and telecom companies
• No standardization of datasets between providers
• Not all countries or regions are included in datasets