Syndromic surveillance of COVID-19 using crowdsourced data
As of August 20, 2020, COVID-19 has caused ~22.4 million co nfirmed cases and over 789,000 confirmed deaths, globally [1]. However, the global case and death counts are likely much higher due to a variety of factors, such as misdiagnoses during the early stages of the pandemic, testing disparities,...
- Autores:
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14509
- Acceso en línea:
- https://doi.org/10.1016/j.lanwpc.2020.100024
http://hdl.handle.net/20.500.12010/14509
- Palabra clave:
- Syndromic surveillance
COVID-19
Using crowdsourced data
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
- Rights
- License
- Abierto (Texto Completo)
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| dc.title.spa.fl_str_mv |
Syndromic surveillance of COVID-19 using crowdsourced data |
| title |
Syndromic surveillance of COVID-19 using crowdsourced data |
| spellingShingle |
Syndromic surveillance of COVID-19 using crowdsourced data Syndromic surveillance COVID-19 Using crowdsourced data Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| title_short |
Syndromic surveillance of COVID-19 using crowdsourced data |
| title_full |
Syndromic surveillance of COVID-19 using crowdsourced data |
| title_fullStr |
Syndromic surveillance of COVID-19 using crowdsourced data |
| title_full_unstemmed |
Syndromic surveillance of COVID-19 using crowdsourced data |
| title_sort |
Syndromic surveillance of COVID-19 using crowdsourced data |
| dc.subject.spa.fl_str_mv |
Syndromic surveillance COVID-19 Using crowdsourced data |
| topic |
Syndromic surveillance COVID-19 Using crowdsourced data Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| dc.subject.lemb.spa.fl_str_mv |
Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| description |
As of August 20, 2020, COVID-19 has caused ~22.4 million co nfirmed cases and over 789,000 confirmed deaths, globally [1]. However, the global case and death counts are likely much higher due to a variety of factors, such as misdiagnoses during the early stages of the pandemic, testing disparities, and high rates of asymptomatic carriers (up to 50%) of the SARS-CoV-2 virus [2]. Surveillance of COVID-19 has largely relied on confirmed case and death statistics, contact tracing, and projections via epidemiological modeling [3,4]. Furthermore, the timeliness of data availability often suffers from reporting delays due to the incubation period, testing lags, and others |
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2020 |
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2020-10-16T17:04:54Z |
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2020-10-16T17:04:54Z |
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2020 |
| dc.type.local.spa.fl_str_mv |
Artículo |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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2666-6065 |
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https://doi.org/10.1016/j.lanwpc.2020.100024 |
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http://hdl.handle.net/20.500.12010/14509 |
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https://doi.org/10.1016/j.lanwpc.2020.100024 |
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2666-6065 |
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https://doi.org/10.1016/j.lanwpc.2020.100024 http://hdl.handle.net/20.500.12010/14509 |
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eng |
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eng |
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http://purl.org/coar/access_right/c_abf2 |
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Abierto (Texto Completo) |
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Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
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2 páginas |
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text/html |
| dc.publisher.spa.fl_str_mv |
The Lancet Regional Health - Western Pacific |
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2020-10-16T17:04:54Z2020-10-16T17:04:54Z20202666-6065https://doi.org/10.1016/j.lanwpc.2020.100024http://hdl.handle.net/20.500.12010/14509https://doi.org/10.1016/j.lanwpc.2020.100024As of August 20, 2020, COVID-19 has caused ~22.4 million co nfirmed cases and over 789,000 confirmed deaths, globally [1]. However, the global case and death counts are likely much higher due to a variety of factors, such as misdiagnoses during the early stages of the pandemic, testing disparities, and high rates of asymptomatic carriers (up to 50%) of the SARS-CoV-2 virus [2]. Surveillance of COVID-19 has largely relied on confirmed case and death statistics, contact tracing, and projections via epidemiological modeling [3,4]. Furthermore, the timeliness of data availability often suffers from reporting delays due to the incubation period, testing lags, and others2 páginastext/htmlengThe Lancet Regional Health - Western Pacificreponame:Expeditio Repositorio Institucional UJTLinstname:Universidad de Bogotá Jorge Tadeo LozanoSyndromic surveillanceCOVID-19Using crowdsourced dataSíndrome respiratorio agudo graveCOVID-19SARS-CoV-2CoronavirusSyndromic surveillance of COVID-19 using crowdsourced dataArtículohttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Desjardins, Michael R.LICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14509/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILSyndromic-surveillance-of-COVID-19-using_2020_The-Lancet-Regional-Health---W.pdf.jpgSyndromic-surveillance-of-COVID-19-using_2020_The-Lancet-Regional-Health---W.pdf.jpgIM Thumbnailimage/jpeg15875https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14509/3/Syndromic-surveillance-of-COVID-19-using_2020_The-Lancet-Regional-Health---W.pdf.jpgc22ead9861918570e582edea1e87649fMD53open access20.500.12010/14509oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/145092021-03-15 13:20:56.71metadata only accessRepositorio Institucional - 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