Robust predictive model for Carriers, Infections and Recoveries (CIR): first update for CoVid-19 in Spain
This article reports a first update on the assesment of the model previously presented in arXiv:2003.13890v1. New available data have been used to feed the model and the comparison with real data still shows good agreement. The main novelty of the model is that it keeps track of the date of infection of a single individual and uses stochastic distributions to aggregate individuals who share the same date of infection. In addition, it uses two types of infections, mild and serious, with a different recovery time. These features are implemented in a set of differential equations which determine the number of Carriers, Infections, Recoveries, Hospitalized and Deaths.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Robust predictive model for Carriers, Infections and Recoveries (CIR): predicting death rates for CoVid-19 in Spain
This article presents a new model to predict the evolution of infective diseases under uncertainty or low-quality information, just as it has happened in the initial scenario during the CoVid-19 spread in China and Europ…
Formal Concept Analysis of Rodent Carriers of Zoonotic Disease
The technique of Formal Concept Analysis is applied to a dataset describing the traits of rodents, with the goal of identifying zoonotic disease carriers,or those species carrying infections that can spillover to cause h…
Surveillance of COVID-19 Pandemic using Hidden Markov Model
COVID-19 pandemic has brought the whole world to a stand-still over the last few months. In particular the pace at which pandemic has spread has taken everybody off-guard. The Governments across the world have responded …
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining
This paper proposes a simple method to extract from a set of multiple related time series a compressed representation for each time series based on statistics for the entire set of all time series. This is achieved by a …
Dynamic Time WarpingTime SeriesTime Series AnalysisExploiting structured data for learning contagious diseases under incomplete testing
One of the ways that machine learning algorithms can help control the spread of an infectious disease is by building models that predict who is likely to get infected whether or not they display any symptoms, making them…