COVID-19: What we’ve learned so far

RESUMEN: Coronavirus disease 2019 (COVID-19) has dominated almost every aspect of human life on planet Earth since it was first discovered in Wuhan, Hubei province, China, in December 2019. A quick google search of the expression COVID-19 reveals more than 3.22 billion results. In order to understan...

Full description

Autores:
Cañon Montañez, Wilson
Williams, Ged
Tipo de recurso:
Editorial
Fecha de publicación:
2020
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/22980
Acceso en línea:
http://hdl.handle.net/10495/22980
Palabra clave:
COVID-19
Infecciones por Coronavirus
Coronavirus Infections
Mediciones Epidemiológicas
Epidemiologic Measurements
Pandemia COVID-19, 2020-
http://id.nlm.nih.gov/mesh/D000086382
Rights
openAccess
License
http://creativecommons.org/licenses/by/2.5/co/
id UDEA2_8b565f337a4e337f302e451d549c7b16
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/22980
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv COVID-19: What we’ve learned so far
title COVID-19: What we’ve learned so far
spellingShingle COVID-19: What we’ve learned so far
COVID-19
Infecciones por Coronavirus
Coronavirus Infections
Mediciones Epidemiológicas
Epidemiologic Measurements
Pandemia COVID-19, 2020-
http://id.nlm.nih.gov/mesh/D000086382
title_short COVID-19: What we’ve learned so far
title_full COVID-19: What we’ve learned so far
title_fullStr COVID-19: What we’ve learned so far
title_full_unstemmed COVID-19: What we’ve learned so far
title_sort COVID-19: What we’ve learned so far
dc.creator.fl_str_mv Cañon Montañez, Wilson
Williams, Ged
dc.contributor.author.none.fl_str_mv Cañon Montañez, Wilson
Williams, Ged
dc.subject.mesh.none.fl_str_mv COVID-19
topic COVID-19
Infecciones por Coronavirus
Coronavirus Infections
Mediciones Epidemiológicas
Epidemiologic Measurements
Pandemia COVID-19, 2020-
http://id.nlm.nih.gov/mesh/D000086382
dc.subject.decs.none.fl_str_mv Infecciones por Coronavirus
Coronavirus Infections
Mediciones Epidemiológicas
Epidemiologic Measurements
dc.subject.proposal.spa.fl_str_mv Pandemia COVID-19, 2020-
dc.subject.meshuri.none.fl_str_mv http://id.nlm.nih.gov/mesh/D000086382
description RESUMEN: Coronavirus disease 2019 (COVID-19) has dominated almost every aspect of human life on planet Earth since it was first discovered in Wuhan, Hubei province, China, in December 2019. A quick google search of the expression COVID-19 reveals more than 3.22 billion results. In order to understand the importance of this type of virus, we need to carry out two extremely important epidemiological issues: the basic reproduction number (Ro) and the effective infection number (R). Ro is used to measure the transmission potential of a virus. This number is an average of how many people to whom an infected patient is able to transmit the pathogen, assuming that people close to the patient are not immune to it. Now let's understand R. A population will rarely be completely susceptible to infection in the real world. Some contacts will be immune due to a previous infection that conferred immunity or as a result of previous immunization, due to the action of vaccines. Therefore, not all contacts will be infected and the average number of secondary cases per infectious case will be less than Ro. In this calculation, we take into account susceptible and non-susceptible people. With this information presented, we can conclude that if the value of R is >1, the number of cases will increase, starting an epidemic. For a virus to stop spreading, R must be <1. To estimate R, we multiply the value of Ro by the susceptible fraction of a population.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-10-07T00:21:21Z
dc.date.available.none.fl_str_mv 2021-10-07T00:21:21Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_b239
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/ARTEDIT
dc.type.local.spa.fl_str_mv Editorial
format http://purl.org/coar/resource_type/c_b239
status_str publishedVersion
dc.identifier.citation.spa.fl_str_mv Williams GF, Cañon-Montañez W. COVID-19: What we’ve learned so far. Rev. Cuid [Internet]. 1 de mayo de 2020;11(2). Disponible en: https://revistas.udes.edu.co/cuidarte/article/view/1225
dc.identifier.issn.none.fl_str_mv 2216-0973
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/22980
dc.identifier.doi.none.fl_str_mv 10.15649/cuidarte.1225
dc.identifier.eissn.none.fl_str_mv 2346-3414
identifier_str_mv Williams GF, Cañon-Montañez W. COVID-19: What we’ve learned so far. Rev. Cuid [Internet]. 1 de mayo de 2020;11(2). Disponible en: https://revistas.udes.edu.co/cuidarte/article/view/1225
2216-0973
10.15649/cuidarte.1225
2346-3414
url http://hdl.handle.net/10495/22980
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Rev. Cuid
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/2.5/co/
dc.rights.accessrights.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.spa.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/co/
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.format.extent.spa.fl_str_mv 4
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad de Santander
dc.publisher.group.spa.fl_str_mv Grupo de Investigación la Práctica de Enfermería en el Contexto Social
dc.publisher.place.spa.fl_str_mv Bucaramanga, Colombia
institution Universidad de Antioquia
bitstream.url.fl_str_mv https://bibliotecadigital.udea.edu.co/bitstream/10495/22980/1/Ca%c3%b1onWilson_2020_Covid19.pdf
https://bibliotecadigital.udea.edu.co/bitstream/10495/22980/3/license.txt
https://bibliotecadigital.udea.edu.co/bitstream/10495/22980/2/license_rdf
bitstream.checksum.fl_str_mv 4c163ee382018dfc2fdc99ada2167251
8a4605be74aa9ea9d79846c1fba20a33
1646d1f6b96dbbbc38035efc9239ac9c
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad de Antioquia
repository.mail.fl_str_mv andres.perez@udea.edu.co
_version_ 1812173299717767168
spelling Cañon Montañez, WilsonWilliams, Ged2021-10-07T00:21:21Z2021-10-07T00:21:21Z2020Williams GF, Cañon-Montañez W. COVID-19: What we’ve learned so far. Rev. Cuid [Internet]. 1 de mayo de 2020;11(2). Disponible en: https://revistas.udes.edu.co/cuidarte/article/view/12252216-0973http://hdl.handle.net/10495/2298010.15649/cuidarte.12252346-3414RESUMEN: Coronavirus disease 2019 (COVID-19) has dominated almost every aspect of human life on planet Earth since it was first discovered in Wuhan, Hubei province, China, in December 2019. A quick google search of the expression COVID-19 reveals more than 3.22 billion results. In order to understand the importance of this type of virus, we need to carry out two extremely important epidemiological issues: the basic reproduction number (Ro) and the effective infection number (R). Ro is used to measure the transmission potential of a virus. This number is an average of how many people to whom an infected patient is able to transmit the pathogen, assuming that people close to the patient are not immune to it. Now let's understand R. A population will rarely be completely susceptible to infection in the real world. Some contacts will be immune due to a previous infection that conferred immunity or as a result of previous immunization, due to the action of vaccines. Therefore, not all contacts will be infected and the average number of secondary cases per infectious case will be less than Ro. In this calculation, we take into account susceptible and non-susceptible people. With this information presented, we can conclude that if the value of R is >1, the number of cases will increase, starting an epidemic. For a virus to stop spreading, R must be <1. To estimate R, we multiply the value of Ro by the susceptible fraction of a population.COL01468224application/pdfengUniversidad de SantanderGrupo de Investigación la Práctica de Enfermería en el Contexto SocialBucaramanga, Colombiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_b239http://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTEDITEditorialhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/COVID-19Infecciones por CoronavirusCoronavirus InfectionsMediciones EpidemiológicasEpidemiologic MeasurementsPandemia COVID-19, 2020-http://id.nlm.nih.gov/mesh/D000086382COVID-19: What we’ve learned so farRev. CuidRevista Cuidarte14112ORIGINALCañonWilson_2020_Covid19.pdfCañonWilson_2020_Covid19.pdfEditorialapplication/pdf509946https://bibliotecadigital.udea.edu.co/bitstream/10495/22980/1/Ca%c3%b1onWilson_2020_Covid19.pdf4c163ee382018dfc2fdc99ada2167251MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstream/10495/22980/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927https://bibliotecadigital.udea.edu.co/bitstream/10495/22980/2/license_rdf1646d1f6b96dbbbc38035efc9239ac9cMD5210495/22980oai:bibliotecadigital.udea.edu.co:10495/229802021-10-06 19:21:55.471Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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