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20202026
most citedEstimating the real burden of disease under a pandemic situation: The SARS-CoV2 case

21 citations · 46 across the 8 of their papers we have counts for

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stat.ME2020★ 21 cited

Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case

Amanda Fernández-Fontelo, David Moriña, Alejandra Cabaña +2

The present paper introduces a new model used to study and analyse the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) epidemic-reported-data from Spain. This is a Hidd…

q-bio.PE2020★ 11 cited

Cumulated burden of Covid-19 in Spain from a Bayesian perspective

David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña +3

The main goal of this work is to estimate the actual number of cases of Covid-19 in Spain in the period 01-31-2020 / 06-01-2020 by Autonomous Communities. Based on these estimates,…

stat.AP2020★ 1 cited

Regression-based imputation of explanatory discrete missing data

Gilma Hernández-Herrera, Albert Navarro, David Moriña

Imputation of missing values is a strategy for handling non-responses in surveys or data loss in measurement processes, which may be more effective than ignoring them. When the var…

stat.AP2020★ 11 cited

Quantifying the under-reporting of genital warts cases

David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña +4

Genital warts are a common and highly contagious sexually transmitted disease. They have a large economic burden and affect several aspects of quality of life. Incidence data under…

stat.ME2020

New statistical model for misreported data with application to current public health challenges

David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña +1

The main goal of this work is to present a new model able to deal with potentially misreported continuous time series. The proposed model is able to handle the autocorrelation stru…