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trento-covid19-trend

Tracking Covid19 trend in Trento Province.

trento-province-covid19-trend-28-03-2020

Summary

Trend in Trento Province

Data source: Protezione civile

Date Total infected New infected Growth rate Link
11/03 74 ? ? Link
12/03 102 28 38% Link
13/03 157 55 54% Link
14/03 199 42 27% Link
15/03 367 168 84% Link
16/03 440 73 20% Link
17/03 591 151 34% Link
18/03 719 128 22% Link
19/03 857 138 19% Link
20/03 1067 210 25% Link
21/03 1306 239 23% Link
22/03 1480 175 13% Link
23/03 1611 131 9% Link
24/03 1824 213 13% Link
25/03 2001 177 10% Link
26/03 2122 121 6% Link
27/03 2236 114 6% Link
28/03 2239 3 0.2% Link
29/03 2306 67 3% Link
30/03 2408 102 4% Link
31/03 2453 45 2% Link
1/04 2550 97 4% Link
2/04 2664 114 5% Link
3/04 2839 175 7% Link
4/04 2934 95 3.3% Link
5/04 3042 108 4% Link
6/04 3111 69 3% Link
7/04 3236 125 4% Link
8/04 3342 106 3% Link
9/04 3431 89 3% Link
10/04 3524 93 3% Link
11/04 3669 145 4% Link
12/04 Link
13/04 Link
14/04 Link
15/04 Link
16/04 Link
17/04 Link

Update on 27/03

  • number of new infected per days is decreasing over time. I think we reached the peak, and number of new infected should further decrease on next weeks

Update on 20/03

  • growth during last 3 days in 19%-25%
  • Ansa.it have each day an higher number of infected than Protezione Civile. The higher number could be due to different way of counting - they start to count +10 infected for each new infected - to take into account the potential and not yet measured spread and try to get a more real number of infected

Update on 18/03

  • in the last 3 days growth rate seems stable between 20%-35%
  • count by municipality - in Trento 118 infected. 38 new infected in 2 days, from 16/03/2020. Growth rate by 46%

Update on 16/03

  • growth rate back to 20%. No further insights can be derived, given lack of any pattern during recent days
  • count by municipality - 84 infected in Trento

Update on 15/03

  • growth rate drammatically increases, to 84%, the highest in recent days. Probably still a result from the time before lockdown, or lockdown not correctly observed or not working correctly in some areas

Update on 14/03

  • growth rate decreased from 54% to 27%. However, it could still increase, due to 2 weeks incubation period, that makes spread measurements uncertain
  • because of lockdown (started on March 10th), growth rate should go to almost 0% on March 24th
  • actual risks not included in the prediction:
    • commuters going back to their city of birth, happening these recent days
    • people in touch with actual infected, that could get infected
    • people living in foreign countries that adopted lockdown too late (eg UK, Germany, Spain) and that could travel to Italy

Facts

Predictions

  • in Wuhan, lockdown started when infected people were 500 Link Link2. It was on January 23rd. On March 14th the number grew to about 80.000
  • in Italy, lockdown started when number of infected were 5.883 Link. It was March 7th. Governement estimates to reach the peak of 92.000 infected on March 18th Link. On March 14th number of infected is 17.750. The growth rate of the recent days is about +3.000 infected per day

Curiosity

Impact on economics

More recent data

Key takeaways

  • economy have network effects: the crisis, started from sectors like tourism (eg Airbnb lost 90% of their revenue), will propagate progressively to connected sectors, with possibility to expand exponentially
  • priorities for companies:
    • plan for enough runway to arrive at the end of the crisis
    • become more efficient
    • search for new business models, also by re-evaluating how technology, insights and analytics can fuel future growth
    • keep CX high
  • privacy: collection of personal data is changing or needs a change
    • tracking is essential to fight the virus (e.g. Singapore, South Korea). A vaccine is expected in 12-18 months (2021), on the short term there is no other solution. Without tracking, lockdown period will be longer, economic impact will be much bigger
    • almost "need of tracking" > "need of protection personal data"
  • hot trends in technology
    • fight of delinquencies - e.g. to distribute correctly helps from the governement
    • tracking and protection of personal data - eg empower community managers to expand tracking technologies to their members
    • support for remote experience - eg apps for video calls, CX analytics, virtual events, cloud infrastructure
    • on-demand food and services delivery

Articles

Impact on health

Solutions

Dashboards

Other lectures

Software development

Deliveries in Trento

Releases

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