Corpus overview


Overview

MeSH Disease

HGNC Genes

There are no HGNC terms in the subcorpus


Transmission

There are no transmission terms in the subcorpus


Seroprevalence

There are no seroprevalence terms in the subcorpus

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    Estimation of COVID-19 MESHD under-reporting in the Brazilian States through SARI MESHD

    Authors: Balthazar Paixão; Marcel Pedroso; Lais Baroni; Rebecca Salles; Luciana Escobar; Carlos de Sousa; Raphael Saldanha; Jorge Soares; Rafaelli Coutinho; Fabio Porto; Eduardo Ogasawara

    doi:10.21203/rs.3.rs-50075/v1 Date: 2020-07-28 Source: ResearchSquare

    BackgroundDue to its impact, COVID-19 MESHD has been stressing the academy to search for curing, mitigating, or controlling it. However, when it comes to control, there are still few studies focused on under-reporting estimates. It is believed that under-reporting is a relevant factor in determining the actual mortality rate and, if not considered, can cause significant misinformation. Therefore, the objective of this work is to estimate the under-reporting of cases and deaths of COVID-19 MESHD in Brazilian states using data from the InfoGripe on notification of Severe Acute Respiratory Infection MESHD ( SARI MESHD). MethodologyThe methodology is based on the combination of data analytics (event detection methods) and time series modeling ( inertia MESHD inertia HP and novelty concepts) over hospitalized SARI MESHD cases. The estimate of real cases of the disease, called novelty, is calculated by comparing the difference in SARI MESHD cases in 2020 (after COVID-19 MESHD) with the total expected cases in recent years (2016 to 2019). The expected cases are derived from a seasonal exponential moving average. ResultsThe results show that under-reporting rates vary significantly between states and that there are no general patterns for states in the same region in Brazil. The states of Minas Gerais and Mato Grosso have the highest rates of under-reporting of cases. The rate of under-reporting of deaths is high in the Rio Grande do Sul and the Minas Gerais. ConclusionsOur work presents the estimation of the under-reporting rates of COVID-19 MESHD in Brazilian states. This work can be highlighted for the combination of data analytics and time series modeling. Our calculation of under-reporting rates based on SARI MESHD is conservative and better characterized by deaths than for cases.

    Estimation of COVID-19 MESHD under-reporting in Brazilian States through SARI MESHD

    Authors: Balthazar Paixão; Lais Baroni; Rebecca Salles; Luciana Escobar; Carlos de Sousa; Marcel Pedroso; Raphael Saldanha; Rafaelli Coutinho; Fabio Porto; Eduardo Ogasawara

    id:2006.12759v1 Date: 2020-06-23 Source: arXiv

    Due to its impact, COVID-19 MESHD has been stressing the academy to search for curing, mitigating, or controlling it. However, when it comes to controlling, there are still few studies focused on under-reporting estimates. It is believed that under-reporting is a relevant factor in determining the actual mortality rate and, if not considered, can cause significant misinformation. Therefore, the objective of this work is to estimate the under-reporting of cases and deaths of COVID-19 MESHD in Brazilian states using data from the Infogripe on notification of Severe Acute Respiratory Infection MESHD ( SARI MESHD). The methodology is based on the concepts of inertia MESHD inertia HP and the use of event detection techniques to study the time series of hospitalized SARI MESHD cases. The estimate of real cases of the disease, called novelty, is calculated by comparing the difference in SARI MESHD cases in 2020 (after COVID-19 MESHD) with the total expected cases in recent years (2016 to 2019) derived from a seasonal exponential moving average. The results show that under-reporting rates vary significantly between states and that there are no general patterns for states in the same region in Brazil.

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MeSH Disease
HGNC Genes
Transmission
Seroprevalence


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