COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2

“…Following the guidelines given in Díaz-Lozano, Guijo-Rubio, Gutiérrez, Gómez-Orellana, et al (2022) , we perform a decomposition of the outbreaks curves using a polynomial model. A -degree polynomial function is composed of parameters and is defined as follows: where is the cumulative -day incidence and days from the beginning of the th outbreak, are the parameters of the polynomial fit, being the intercept, and, finally, is the error term.…”

“…However, this new strain provoked less severe symptoms than the previous variants, leading to a lower hospitalization rate ( Mahase, 2021 ). Considering the limitations previously discussed in Díaz-Lozano, Guijo-Rubio, Gutiérrez, Gómez-Orellana, et al (2022) , the final number of daily observations corresponding to the second, third, fifth, and sixth waves is , , , and , respectively, making a total of observations.…”

A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd

“…For example, with the spreading of COVID-19, more and more people are suffering from physical pains and mental pressures [26] , [27] . MCS can act as an effective technology for detecting COVID-19 and blocking its spreading [27] , [28] . To this end, AI-enabled data sensing and data collection technologies could be used to monitor the physical status of the crowd, based on the received multimodal data such as crowd flow trajectory, images and sounds [29] .…”

“…Workers expect to be rewarded significantly for giving sensing data, yet the platform typically wants high-quality data at a minimum cost due to budgetary constraints [37] , [38] . The auction is a game mechanism often used as an effective tool to solve the above problem in the MCS system, for the smooth operation of the applications residing on the platform [26] , [28] . In auction-based MCS, the platform seeks to recruit trustworthy workers with high qualities to carry out tasks [4] to ensure the performance of the applications [9] , which is a crucial issue of the research [36] .…”

“…Therefore, considering the presence of malicious or untrustworthy workers [52] and selecting trustworthy workers [53] has become a critical issue in MCS systems [46] , [47] , [48] . In the case of COVID-19, incorrect data might cause significant harm, either by spreading the virus [28] , putting people’s health at risk, or wasting more health resources [29] , [30] . In this case, it is urgent to ensure that the platform selects trustworthy workers for truthful data [13] , [39] , [40] .…”