Author: Reza S. Abhari; Marcello Marini; Ndaona Chokani
Title: COVID-19 Epidemic in Switzerland: Growth Prediction and Containment Strategy Using Artificial Intelligence and Big Data Document date: 2020_4_1
ID: elmagpu4_21
Snippet: By performing a large number of simulations and machine learning steps, the approximate initial start date of the infection was determined to be Saturday 22 February 2020, when the simulation is 5 seeded with 46 cases, whose geographic locations are based on the reported occurrences of COVID-19 in Switzerland. 12 This date and seeding best match the observed ramp up of the spread of COVID-19 in Switzerland; this date and seeding were kept constan.....
Document: By performing a large number of simulations and machine learning steps, the approximate initial start date of the infection was determined to be Saturday 22 February 2020, when the simulation is 5 seeded with 46 cases, whose geographic locations are based on the reported occurrences of COVID-19 in Switzerland. 12 This date and seeding best match the observed ramp up of the spread of COVID-19 in Switzerland; this date and seeding were kept constant for the baseline study reported here.
Search related documents:
Co phrase search for related documents- baseline study and machine learning: 1, 2, 3, 4, 5, 6
- baseline study and report baseline study: 1, 2, 3
- geographic location and large number: 1, 2, 3, 4
- geographic location and machine learning: 1, 2, 3
- infection start date and start date: 1, 2, 3, 4
- large number and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73
- large number and report occurrence: 1, 2, 3
- machine learning and start date: 1, 2, 3
Co phrase search for related documents, hyperlinks ordered by date