The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2020 |
| Outros Autores: | , , , , , , , |
| Tipo de documento: | preprint |
| Idioma: | por |
| Título da fonte: | SciELO Preprints |
| Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/1576 |
Resumo: | Objective: To analyze how population testing influences the health indicators used to monitor the COVID-19 pandemic in the 50 countries with the highest number of diagnosed cases. Methods: Ecological study, with secondary data, downloaded on 8/19/2020. Accumulated incidence, mortality rate, case-fatality rate, and proportion of positive tests were calculated. The data were described and presented graphically, with the respective Spearman Correlation Coefficient. Results: The testing rate varied enormously between countries. The accumulated incidence and the proportion of positive tests were correlated with the number of tests, while the mortality rate and case-fatality rate showed a low correlation with this indicator. Conclusion: Most countries do not test enough to ensure adequate monitoring of the pandemic, reflecting on the quality of the indicators. The expansion of the number of tests is essential, but it needs to be accompanied by other measures, such as isolation of diagnosed cases and contact tracking. |
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The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of casesEl efecto de las pruebas de laboratorio en los indicadores de seguimiento de COVID-19: un análisis de los 50 países con el mayor número de casosO efeito da testagem laboratorial nos indicadores de acompanhamento da COVID-19: uma análise dos 50 países com maior número de casosInfecções por CoronavirusIndicadores Básicos de SaúdeEstratégias de TestagemIncidênciaMortalidadeSARS-CoV-2Coronavirus InfectionsHealth Status IndicatorsTesting StrategiesIncidenceMortalitySARS-CoV-2Objective: To analyze how population testing influences the health indicators used to monitor the COVID-19 pandemic in the 50 countries with the highest number of diagnosed cases. Methods: Ecological study, with secondary data, downloaded on 8/19/2020. Accumulated incidence, mortality rate, case-fatality rate, and proportion of positive tests were calculated. The data were described and presented graphically, with the respective Spearman Correlation Coefficient. Results: The testing rate varied enormously between countries. The accumulated incidence and the proportion of positive tests were correlated with the number of tests, while the mortality rate and case-fatality rate showed a low correlation with this indicator. Conclusion: Most countries do not test enough to ensure adequate monitoring of the pandemic, reflecting on the quality of the indicators. The expansion of the number of tests is essential, but it needs to be accompanied by other measures, such as isolation of diagnosed cases and contact tracking.Objetivo: Analisar como a testagem da população influencia os indicadores de saúde usados para monitorar a pandemia de COVID-19 nos 50 países com maior número de casos diagnosticados. Métodos: Estudo ecológico sobre dados secundários, extraídos em 19/08/2020. Foram calculadas incidência acumulada, taxa de mortalidade, letalidade e proporção de testes positivos. Os dados foram descritos e apresentados graficamente, com o respectivo coeficiente de correlação de Spearman. Resultados: A taxa de testagem variou enormemente entre os países. A incidência acumulada e a proporção de testes positivos foram correlacionadas ao número de testes, enquanto a taxa de mortalidade e a letalidade apresentaram correlação baixa com esse indicador. Conclusão: A maioria dos países não testa o suficiente para garantir adequado monitoramento da pandemia, com reflexo na qualidade dos indicadores. A ampliação do número de testes é fundamental; porém, ela deve ser acompanhada de outras medidas, como isolamento de casos diagnosticados e rastreamento de contatos.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-12-09info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/157610.1590/s1679-49742021000200002porhttps://preprints.scielo.org/index.php/scielo/article/view/1576/2497Copyright (c) 2020 Flávia Bulegon Pilecco, Carolina Gomes Coelho, Qeren Hapuk Rodrigues Ferreira Fernandes, Ismael Henrique Silveira, Júlia Moreira Pescarini, Naiá Ortelan, Ligia Gabrielli, Estela M. L. Aquino, Maurício Lima Barretohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPilecco, Flávia Bulegon Coelho, Carolina Gomes Fernandes, Qeren Hapuk Rodrigues Ferreira Silveira, Ismael Henrique Pescarini, Júlia Moreira Ortelan, Naiá Gabrielli, Ligia Aquino, Estela M. L. Barreto, Maurício Lima reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-12-09T12:32:40Zoai:ops.preprints.scielo.org:preprint/1576Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-12-09T12:32:40SciELO Preprints - SciELOfalse |
| dc.title.none.fl_str_mv |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases El efecto de las pruebas de laboratorio en los indicadores de seguimiento de COVID-19: un análisis de los 50 países con el mayor número de casos O efeito da testagem laboratorial nos indicadores de acompanhamento da COVID-19: uma análise dos 50 países com maior número de casos |
| title |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases |
| spellingShingle |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases Pilecco, Flávia Bulegon Infecções por Coronavirus Indicadores Básicos de Saúde Estratégias de Testagem Incidência Mortalidade SARS-CoV-2 Coronavirus Infections Health Status Indicators Testing Strategies Incidence Mortality SARS-CoV-2 |
| title_short |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases |
| title_full |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases |
| title_fullStr |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases |
| title_full_unstemmed |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases |
| title_sort |
The effect of laboratory testing on COVID-19 monitoring indicators: an analysis of the 50 countries with the highest number of cases |
| author |
Pilecco, Flávia Bulegon |
| author_facet |
Pilecco, Flávia Bulegon Coelho, Carolina Gomes Fernandes, Qeren Hapuk Rodrigues Ferreira Silveira, Ismael Henrique Pescarini, Júlia Moreira Ortelan, Naiá Gabrielli, Ligia Aquino, Estela M. L. Barreto, Maurício Lima |
| author_role |
author |
| author2 |
Coelho, Carolina Gomes Fernandes, Qeren Hapuk Rodrigues Ferreira Silveira, Ismael Henrique Pescarini, Júlia Moreira Ortelan, Naiá Gabrielli, Ligia Aquino, Estela M. L. Barreto, Maurício Lima |
| author2_role |
author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Pilecco, Flávia Bulegon Coelho, Carolina Gomes Fernandes, Qeren Hapuk Rodrigues Ferreira Silveira, Ismael Henrique Pescarini, Júlia Moreira Ortelan, Naiá Gabrielli, Ligia Aquino, Estela M. L. Barreto, Maurício Lima |
| dc.subject.por.fl_str_mv |
Infecções por Coronavirus Indicadores Básicos de Saúde Estratégias de Testagem Incidência Mortalidade SARS-CoV-2 Coronavirus Infections Health Status Indicators Testing Strategies Incidence Mortality SARS-CoV-2 |
| topic |
Infecções por Coronavirus Indicadores Básicos de Saúde Estratégias de Testagem Incidência Mortalidade SARS-CoV-2 Coronavirus Infections Health Status Indicators Testing Strategies Incidence Mortality SARS-CoV-2 |
| description |
Objective: To analyze how population testing influences the health indicators used to monitor the COVID-19 pandemic in the 50 countries with the highest number of diagnosed cases. Methods: Ecological study, with secondary data, downloaded on 8/19/2020. Accumulated incidence, mortality rate, case-fatality rate, and proportion of positive tests were calculated. The data were described and presented graphically, with the respective Spearman Correlation Coefficient. Results: The testing rate varied enormously between countries. The accumulated incidence and the proportion of positive tests were correlated with the number of tests, while the mortality rate and case-fatality rate showed a low correlation with this indicator. Conclusion: Most countries do not test enough to ensure adequate monitoring of the pandemic, reflecting on the quality of the indicators. The expansion of the number of tests is essential, but it needs to be accompanied by other measures, such as isolation of diagnosed cases and contact tracking. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-12-09 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
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preprint |
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publishedVersion |
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https://preprints.scielo.org/index.php/scielo/preprint/view/1576 10.1590/s1679-49742021000200002 |
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https://preprints.scielo.org/index.php/scielo/preprint/view/1576 |
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10.1590/s1679-49742021000200002 |
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por |
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por |
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https://preprints.scielo.org/index.php/scielo/article/view/1576/2497 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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