Author: Pedro S. Peixoto; Diego R. Marcondes; Cláudia M Peixoto; Lucas Queiroz; Rafael Gouveia; Afonso Delgado; Sérgio M Oliva
Title: Potential dissemination of epidemics based on Brazilian mobile geolocation data. Part I: Population dynamics and future spreading of infection in the states of Sao Paulo and Rio de Janeiro during the pandemic of COVID-19. Document date: 2020_4_11
ID: ioig3ldz_36
Snippet: The main interest of the simulations is in determining , the least time such that the number of infected in a region attains a threshold , i.e., . From this value, we may rank the regions from the smallest to the greatest times of arrival of the disease, producing evidences about possible focus of future infection. In the simulations we adopt , that is, we assume that the region is at risk when the model predicts at least 1 infected individual in.....
Document: The main interest of the simulations is in determining , the least time such that the number of infected in a region attains a threshold , i.e., . From this value, we may rank the regions from the smallest to the greatest times of arrival of the disease, producing evidences about possible focus of future infection. In the simulations we adopt , that is, we assume that the region is at risk when the model predicts at least 1 infected individual in the region. The models are simulated until April 30th 2020.
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