Sample design to monitor COVID-19 disease

Morales, Domingo - Lombardía, Maria José - Fraiman, Ricardo - Cuesta, Juan Antonio

Resumen:

This paper contains some proposals for sampling oriented to the weekly estimation of the real proportion of individuals that have been infected (present or past infection) by SARS-COV-2. During the months of May to July 2020, Instituto de Salud Carlos III in collaboration with the Instituto Nacional de Estad´ıstica carried out three monthly surveys to estimate the number of people with virus antibodies in each province. Complementing the results of these surveys, increasing their periodicity to weeks, would be of great help for health decision-making.


Detalles Bibliográficos
2020
COVID-19
Prevalence estimation
Sequential sampling
Survey sampling
Español
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/33789
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)
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author Morales, Domingo
author2 Lombardía, Maria José
Fraiman, Ricardo
Cuesta, Juan Antonio
author2_role author
author
author
author_facet Morales, Domingo
Lombardía, Maria José
Fraiman, Ricardo
Cuesta, Juan Antonio
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Morales Domingo, Universidad Miguel Hernández (España)
Lombardía Maria José, Universidad de Coruña (España)
Fraiman Ricardo, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática.
Cuesta Juan Antonio, Universidad de Cantabria (España)
dc.creator.none.fl_str_mv Morales, Domingo
Lombardía, Maria José
Fraiman, Ricardo
Cuesta, Juan Antonio
dc.date.accessioned.none.fl_str_mv 2022-09-12T15:32:38Z
dc.date.available.none.fl_str_mv 2022-09-12T15:32:38Z
dc.date.issued.none.fl_str_mv 2020
dc.description.abstract.none.fl_txt_mv This paper contains some proposals for sampling oriented to the weekly estimation of the real proportion of individuals that have been infected (present or past infection) by SARS-COV-2. During the months of May to July 2020, Instituto de Salud Carlos III in collaboration with the Instituto Nacional de Estad´ıstica carried out three monthly surveys to estimate the number of people with virus antibodies in each province. Complementing the results of these surveys, increasing their periodicity to weeks, would be of great help for health decision-making.
dc.format.extent.es.fl_str_mv 19 h
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Morales, D, Lombardía, M, Fraiman, R [y otro autor]. "Sample design to monitor COVID-19 disease". Boletín de Estadística e Investigación Operativa. [en línea] 2020, 36(2):153-171. 19 h.
dc.identifier.issn.none.fl_str_mv 2387-1725
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/33789
dc.language.iso.none.fl_str_mv es
spa
dc.publisher.es.fl_str_mv Sociedad de Estadística e Investigación Operativa
dc.relation.ispartof.es.fl_str_mv Boletín de Estadística e Investigación Operativa, 2020, 36(2):153-171
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv COVID-19
Prevalence estimation
Sequential sampling
Survey sampling
dc.title.none.fl_str_mv Sample design to monitor COVID-19 disease
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description This paper contains some proposals for sampling oriented to the weekly estimation of the real proportion of individuals that have been infected (present or past infection) by SARS-COV-2. During the months of May to July 2020, Instituto de Salud Carlos III in collaboration with the Instituto Nacional de Estad´ıstica carried out three monthly surveys to estimate the number of people with virus antibodies in each province. Complementing the results of these surveys, increasing their periodicity to weeks, would be of great help for health decision-making.
eu_rights_str_mv openAccess
format article
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identifier_str_mv Morales, D, Lombardía, M, Fraiman, R [y otro autor]. "Sample design to monitor COVID-19 disease". Boletín de Estadística e Investigación Operativa. [en línea] 2020, 36(2):153-171. 19 h.
2387-1725
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
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publishDate 2020
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
spelling Morales Domingo, Universidad Miguel Hernández (España)Lombardía Maria José, Universidad de Coruña (España)Fraiman Ricardo, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática.Cuesta Juan Antonio, Universidad de Cantabria (España)2022-09-12T15:32:38Z2022-09-12T15:32:38Z2020Morales, D, Lombardía, M, Fraiman, R [y otro autor]. "Sample design to monitor COVID-19 disease". Boletín de Estadística e Investigación Operativa. [en línea] 2020, 36(2):153-171. 19 h.2387-1725https://hdl.handle.net/20.500.12008/33789This paper contains some proposals for sampling oriented to the weekly estimation of the real proportion of individuals that have been infected (present or past infection) by SARS-COV-2. During the months of May to July 2020, Instituto de Salud Carlos III in collaboration with the Instituto Nacional de Estad´ıstica carried out three monthly surveys to estimate the number of people with virus antibodies in each province. Complementing the results of these surveys, increasing their periodicity to weeks, would be of great help for health decision-making.Submitted by Faget Cecilia (lfaget@fcien.edu.uy) on 2022-09-12T13:07:15Z No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) BEIO153-172.pdf: 214869 bytes, checksum: a39c4a0926bd4381db394898d3941035 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2022-09-12T15:27:25Z (GMT) No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) BEIO153-172.pdf: 214869 bytes, checksum: a39c4a0926bd4381db394898d3941035 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2022-09-12T15:32:38Z (GMT). No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) BEIO153-172.pdf: 214869 bytes, checksum: a39c4a0926bd4381db394898d3941035 (MD5) Previous issue date: 202019 happlication/pdfesspaSociedad de Estadística e Investigación OperativaBoletín de Estadística e Investigación Operativa, 2020, 36(2):153-171Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse
spellingShingle Sample design to monitor COVID-19 disease
Morales, Domingo
COVID-19
Prevalence estimation
Sequential sampling
Survey sampling
status_str publishedVersion
title Sample design to monitor COVID-19 disease
title_full Sample design to monitor COVID-19 disease
title_fullStr Sample design to monitor COVID-19 disease
title_full_unstemmed Sample design to monitor COVID-19 disease
title_short Sample design to monitor COVID-19 disease
title_sort Sample design to monitor COVID-19 disease
topic COVID-19
Prevalence estimation
Sequential sampling
Survey sampling
url https://hdl.handle.net/20.500.12008/33789