2022
DOI: 10.1371/journal.pone.0279080
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COVID-19 dynamics in Madrid (Spain): A new convolutional model to find out the missing information during the first three waves

Abstract: This article presents a novel mathematical model to describe the spread of an infectious disease in the presence of social and health events: it uses 15 compartments, 7 convolution integrals and 4 types of infected individuals, asymptomatic, mild, moderate and severe. A unique feature of this work is that the convolutions and the compartments have been selected to maximize the number of independent input parameters, leading to a 56-parameter model where only one had to evolve over time. The results show that 1… Show more

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“…In our national study, we found a 6.35% of asymptomatic COVID-19 patients among all COVID-19 hospitalized patients in Spain. A recent model has estimated the prevalence of asymptomatic patients in Madrid to be of 28% in the first three waves ( 15 ), however it accounted for the whole of population. Additionally, previous studies have estimated the prevalence to be 0.25% with 0.75% among in-hospital patients ( 8 ), focusing on hospitalized population but lower compared to our findings.…”
Section: Discussionmentioning
confidence: 99%
“…In our national study, we found a 6.35% of asymptomatic COVID-19 patients among all COVID-19 hospitalized patients in Spain. A recent model has estimated the prevalence of asymptomatic patients in Madrid to be of 28% in the first three waves ( 15 ), however it accounted for the whole of population. Additionally, previous studies have estimated the prevalence to be 0.25% with 0.75% among in-hospital patients ( 8 ), focusing on hospitalized population but lower compared to our findings.…”
Section: Discussionmentioning
confidence: 99%