Coronasurveys: encuestas indirectas en línea para monitorizar la evolución del COVID-19.
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| Title: | Coronasurveys: encuestas indirectas en línea para monitorizar la evolución del COVID-19. |
|---|---|
| Alternate Title: | Coronasurveys: indirect online surveys to monitor the evolution of COVID-19. |
| Authors: | Fernández-Anta, Antonio1, Aguilar, Jose2,3 jose.aguilar@imdea.org, Ramírez, Juan M.1, Lillo, Rosa Elvira4, Díaz-Aranda, Sergio1 |
| Source: | Revista Española de Comunicación en Salud. 2024 Supplement, p15-23. 9p. |
| Subjects: | PUBLIC health surveillance, DATA analysis, QUESTIONNAIRES, HOSPITAL care, DECISION making, SURVEYS, SOCIAL networks, STATISTICS, RESOURCE-limited settings, COVID-19 pandemic, COVID-19, MEDICAL care costs, EVALUATION |
| Geographic Terms: | UNITED Kingdom, SPAIN |
| Abstract (English): | Introduction: Monitoring the evolution of COVID-19 has been essential for health decision-making. But this requires reliable numbers of the infected, dead and hospitalized, often difficult to have for multiple reasons. The use of fast and reliable estimation techniques, such as indirect surveys, is an option. Objectives: To present the CoronaSurveys project, which monitors COVID-19 by combining indirect surveys with the Network Scaleup Method (NSUM). Methodology: The system uses indirect online anonymous surveys to inquire about COVID-19, and the NSUM method to estimate cases. The system offers multi-language surveys with questions to track active cases, new cases, and fatalities, among others. Results: CoronaSurveys has been operating since March 2020, and continues to collect data, with over one hundred responses to date (over one million samples). The system has made good estimates for Spain and the United Kingdom, among other countries. Conclusion: This system is suitable in countries with limited health infrastructure or in situations of lack of knowledge about the pandemic, such as at the beginning of COVID-19, because its implementation cost is small and it requires simple devices to use it and few participants to obtain good estimates. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Introducción: Seguir la evolución del COVID-19 ha sido esencial para la toma de decisiones sanitarias. Pero ello requiere de cifras fiables de los infectados, muertos y hospitalizados, muchas veces complicadas de tener por múltiples razones. El uso de técnicas de estimación rápidas y fiables, como las encuestas indirectas, es una opción. Objetivos: Presentar el proyecto CoronaSurveys, el cual monitorea el COVID-19 combinando encuestas indirectas con el método de ampliación de red (Network Scale-up Method, NSUM). Metodología: El sistema usa encuestas anónimas indirectas en línea para consultar sobre el COVID-19, y el método NSUM para estimar los casos. Las encuestas están en múltiples idiomas con preguntas para rastrear los casos activos, nuevos y de muertes, entre otros. Resultados: CoronaSurveys está operando desde marzo de 2020, y sigue recopilando datos, con más de cien mil respuestas en la actualidad (millones de muestras). El sistema ha hecho buenas estimaciones para España y el Reino Unido, entre otros países. Conclusión: Este sistema es adecuado en países con infraestructura sanitaria limitada o en situaciones de desconocimiento de la pandemia, como al inicio del COVID-19, porque su coste de implementación es pequeño, requiere dispositivos simples para usarlo, y de pocos participantes para obtener buenas estimaciones. [ABSTRACT FROM AUTHOR] |
| Copyright of Revista Española de Comunicación en Salud is the property of Asociacion Espanola de Comunicacion Sanitaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: lth DbLabel: MedicLatina An: 177091593 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Coronasurveys: encuestas indirectas en línea para monitorizar la evolución del COVID-19. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Coronasurveys: indirect online surveys to monitor the evolution of COVID-19. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fernández-Anta%2C+Antonio%22">Fernández-Anta, Antonio</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Aguilar%2C+Jose%22">Aguilar, Jose</searchLink><relatesTo>2,3</relatesTo><i> jose.aguilar@imdea.org</i><br /><searchLink fieldCode="AR" term="%22Ramírez%2C+Juan+M%2E%22">Ramírez, Juan M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lillo%2C+Rosa+Elvira%22">Lillo, Rosa Elvira</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Díaz-Aranda%2C+Sergio%22">Díaz-Aranda, Sergio</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Revista+Española+de+Comunicación+en+Salud%22">Revista Española de Comunicación en Salud</searchLink>. 2024 Supplement, p15-23. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22PUBLIC+health+surveillance%22">PUBLIC health surveillance</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+analysis%22">DATA analysis</searchLink><br /><searchLink fieldCode="DE" term="%22QUESTIONNAIRES%22">QUESTIONNAIRES</searchLink><br /><searchLink fieldCode="DE" term="%22HOSPITAL+care%22">HOSPITAL care</searchLink><br /><searchLink fieldCode="DE" term="%22DECISION+making%22">DECISION making</searchLink><br /><searchLink fieldCode="DE" term="%22SURVEYS%22">SURVEYS</searchLink><br /><searchLink fieldCode="DE" term="%22SOCIAL+networks%22">SOCIAL networks</searchLink><br /><searchLink fieldCode="DE" term="%22STATISTICS%22">STATISTICS</searchLink><br /><searchLink fieldCode="DE" term="%22RESOURCE-limited+settings%22">RESOURCE-limited settings</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22MEDICAL+care+costs%22">MEDICAL care costs</searchLink><br /><searchLink fieldCode="DE" term="%22EVALUATION%22">EVALUATION</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22UNITED+Kingdom%22">UNITED Kingdom</searchLink><br /><searchLink fieldCode="DE" term="%22SPAIN%22">SPAIN</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Introduction: Monitoring the evolution of COVID-19 has been essential for health decision-making. But this requires reliable numbers of the infected, dead and hospitalized, often difficult to have for multiple reasons. The use of fast and reliable estimation techniques, such as indirect surveys, is an option. Objectives: To present the CoronaSurveys project, which monitors COVID-19 by combining indirect surveys with the Network Scaleup Method (NSUM). Methodology: The system uses indirect online anonymous surveys to inquire about COVID-19, and the NSUM method to estimate cases. The system offers multi-language surveys with questions to track active cases, new cases, and fatalities, among others. Results: CoronaSurveys has been operating since March 2020, and continues to collect data, with over one hundred responses to date (over one million samples). The system has made good estimates for Spain and the United Kingdom, among other countries. Conclusion: This system is suitable in countries with limited health infrastructure or in situations of lack of knowledge about the pandemic, such as at the beginning of COVID-19, because its implementation cost is small and it requires simple devices to use it and few participants to obtain good estimates. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: Introducción: Seguir la evolución del COVID-19 ha sido esencial para la toma de decisiones sanitarias. Pero ello requiere de cifras fiables de los infectados, muertos y hospitalizados, muchas veces complicadas de tener por múltiples razones. El uso de técnicas de estimación rápidas y fiables, como las encuestas indirectas, es una opción. Objetivos: Presentar el proyecto CoronaSurveys, el cual monitorea el COVID-19 combinando encuestas indirectas con el método de ampliación de red (Network Scale-up Method, NSUM). Metodología: El sistema usa encuestas anónimas indirectas en línea para consultar sobre el COVID-19, y el método NSUM para estimar los casos. Las encuestas están en múltiples idiomas con preguntas para rastrear los casos activos, nuevos y de muertes, entre otros. Resultados: CoronaSurveys está operando desde marzo de 2020, y sigue recopilando datos, con más de cien mil respuestas en la actualidad (millones de muestras). El sistema ha hecho buenas estimaciones para España y el Reino Unido, entre otros países. Conclusión: Este sistema es adecuado en países con infraestructura sanitaria limitada o en situaciones de desconocimiento de la pandemia, como al inicio del COVID-19, porque su coste de implementación es pequeño, requiere dispositivos simples para usarlo, y de pocos participantes para obtener buenas estimaciones. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Revista Española de Comunicación en Salud is the property of Asociacion Espanola de Comunicacion Sanitaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.20318/recs.2024.7876 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 9 StartPage: 15 Subjects: – SubjectFull: PUBLIC health surveillance Type: general – SubjectFull: DATA analysis Type: general – SubjectFull: QUESTIONNAIRES Type: general – SubjectFull: HOSPITAL care Type: general – SubjectFull: DECISION making Type: general – SubjectFull: SURVEYS Type: general – SubjectFull: SOCIAL networks Type: general – SubjectFull: STATISTICS Type: general – SubjectFull: RESOURCE-limited settings Type: general – SubjectFull: COVID-19 pandemic Type: general – SubjectFull: COVID-19 Type: general – SubjectFull: MEDICAL care costs Type: general – SubjectFull: EVALUATION Type: general – SubjectFull: UNITED Kingdom Type: general – SubjectFull: SPAIN Type: general Titles: – TitleFull: Coronasurveys: encuestas indirectas en línea para monitorizar la evolución del COVID-19. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fernández-Anta, Antonio – PersonEntity: Name: NameFull: Aguilar, Jose – PersonEntity: Name: NameFull: Ramírez, Juan M. – PersonEntity: Name: NameFull: Lillo, Rosa Elvira – PersonEntity: Name: NameFull: Díaz-Aranda, Sergio IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 01 Text: 2024 Supplement Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19899882 Titles: – TitleFull: Revista Española de Comunicación en Salud Type: main |
| ResultId | 1 |