Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/34041

Title: COVID-19: How to estimate the percentages of asymptomatic and immune individuals
Authors: Oliveira, Manuela
Mexia, João T.
Garção, Eugénio
Grilo, Luís M.
Keywords: COVID-19
asymptomatic Percentage
immune Percentage
sampling Design
Issue Date: 10-Sep-2020
Publisher: Instituto Politécnico de Tomar - Unidade Departamental de Matemática
Citation: Oliveira, Manuela, Mexia, João T., Garção, Eugénio, Grilo, Luís M.. "COVID-19: How to estimate the percentages of asymptomatic and immune individuals" in VII Workshop on Computational Data Analysis and Numerical Methods. 10-12 September 2020, Instituto Politécnico de Tomar (Portugal).
Abstract: Epidemiology focuses on the identification of patterns in disease occurrence in order to provide information that may be useful to help prevent it. The research of how a disease may be transmitted is influential for that identification. In the case of COVID-19 this research should focus on the relations between the disease and the populations of susceptible individuals that might be infected. In this context, we propose an approach based on a stratified sampling scheme to estimate the percentages of asymptomatic and immune persons per region in Portugal.
URI: http://www.wcdanm.ipt.pt/download/book_of_abstracts_finalversion.pdf
http://hdl.handle.net/10174/34041
Type: lecture
Appears in Collections:CIMA - Comunicações - Em Congressos Científicos Nacionais

Files in This Item:

File Description SizeFormat
book_of_abstracts_finalversion.pdf2.87 MBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois