{"id":11012,"date":"2020-11-12T09:44:37","date_gmt":"2020-11-12T15:44:37","guid":{"rendered":"https:\/\/saluddigital.com\/?p=11012"},"modified":"2025-10-21T14:14:01","modified_gmt":"2025-10-21T20:14:01","slug":"resultados-alentadores-en-la-utilizacion-de-wearables","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/comunidades-conectadas\/resultados-alentadores-en-la-utilizacion-de-wearables\/","title":{"rendered":"Positive results in wearable use for COVID-19 symptom monitoring and disease prediction"},"content":{"rendered":"
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Nature recently published the article \u201cWearable sensor data and self-reported symptoms for COVID-19 detection\u201d which shows that through symptom monitoring it is possible to improve the prediction of COVID-19 infection. <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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As part of the DETECT (Digital Participation and Early Control and Treatment Monitoring) program, the study was conducted to explore whether wearables such as smartwatches can be used to collect data on COVID-19 symptoms. For them, 30,529 participants were registered between 25 March and 7 June 2020.<\/p>

Of the total number of participants, 3,811 reported symptoms of COVID-19, however, only 54 people tested positive for COVID-19 after undergoing the test and 279 reported a negative result.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The study addresses the problems of reopening businesses, schools and other activities and considers that applied measures can ignore pre-symptomatic or asymptomatic cases, representing between 40 and 45% of SARS-CoV-2 infection cases. The study presents data from other sources, indicating that high temperature (>37.8oC), is not a common factor in infected patients, as it is only present in 12% of positive cases, and in 31% of hospitalized patients.<\/p>

Through smartwatches and activity trackers, they record physical activity, soil and other metrics such as resting heart rate, among others. On the DETECT platform, users can share their device data, self-informed symptoms, diagnostics, electrical health log data to improve viral disease tracking.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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The symptoms reported through these more recurrent devices in users who tested positive for COVID-19, were fatigue, cough and headache. In addition, sleep and physical activity also showed differences between users who tested positively and those who tested negative.<\/p>

\u201cOur results show that individual changes in physiological measures captured by most smartwatches and activity trackers are able to significantly improve the distinction between symptomatic individuals with and without a diagnosis of COVID-19 beyond symptoms alone. Although encouraging, these results are based on a relatively small sample of participants,\u201d the authors mention on the article\u2019s discussion chapter.<\/p>

In addition, the authors also consider that such devices and studies work for the detection of other viral diseases, such as flu.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tBIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

NATURE<\/strong><\/p>

https:\/\/www.nature.com\/articles\/s41591-020-1123-x<\/a><\/p>

\u00a0<\/p>

MOBI HEALTH NEWS <\/strong><\/p>

https:\/\/www.mobihealthnews.com\/news\/pairing-wearables-data-self-reported-symptoms-could-improve-covid-19-prediction<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

La revista Nature recientemente public\u00f3 el art\u00edculo \u201cDatos de sensores port\u00e1tiles y s\u00edntomas auto informados para la detecci\u00f3n de COVID-19\u201d, el cual muestra que a trav\u00e9s del monitoreo de s\u00edntomas es posible mejorar la predicci\u00f3n de infecci\u00f3n por COVID-19. Como parte del programa DETECT (participaci\u00f3n digital y seguimiento para el control y el tratamiento tempranos, por sus siglas en ingl\u00e9s), el estudio fue realizado con el prop\u00f3sito de explorar si los wearables, como relojes inteligentes pueden utilizarse para la recopilaci\u00f3n de datos sobre s\u00edntomas de COVID-19. Para ellos se registraron a 30,529 participantes entre el 25 de marzo y el 7 de junio de 2020. Del total de participantes, 3,811 informaron sobre s\u00edntomas de COVID-19, sin embargo, solamente 54 personas arrojaron un resultado positivo a COVID-19 tras someterse a la prueba y 279 informaron un resultado negativo. El estudio aborda la problem\u00e1tica de la reapertura de negocios, escuelas y otras actividades y consideran que las medidas aplicadas pueden pasar por alto casos presintom\u00e1ticos o asintom\u00e1ticos, que representan entre el 40 y 45% de los casos de infecci\u00f3n por SARS-CoV-2. El estudio presenta datos de otras fuentes, que indican que la temperatura elevada (>37,8\u00b0C), no es un factor frecuente en los pacientes infectados, ya que solo est\u00e1 presente en el 12% de los casos positivos, y en 31% de los pacientes hospitalizados. A trav\u00e9s de relojes inteligentes y rastreadores de actividad, que registran la actividad f\u00edsica, el suelo y otras m\u00e9tricas como la frecuencia cardiaca en reposo, entre otras. En la plataforma DETECT, los usuarios pueden compartir los datos de sus dispositivos, s\u00edntomas auto informados, diagn\u00f3sticos, datos de registros de salud el\u00e9ctricos para mejorar el rastreo de enfermedades virales. Los s\u00edntomas reportados a trav\u00e9s de estos dispositivos m\u00e1s recurrentes en usuarios que resultaron positivos en prueba de COVID-19, fueron fatiga, tos y dolor de cabeza. Adem\u00e1s, tambi\u00e9n el sue\u00f1o y la actividad f\u00edsica mostraron diferencias entre los usuarios que arrojaron prueba positiva y los que arrojaron negativo. \u201cNuestros resultados muestran que los cambios individuales en las medidas fisiol\u00f3gicas capturadas por la mayor\u00eda de los relojes inteligentes y rastreadores de actividad pueden mejorar significativamente la distinci\u00f3n entre individuos sintom\u00e1ticos con y sin un diagn\u00f3stico de COVID-19 m\u00e1s all\u00e1 de los s\u00edntomas solamente. Aunque alentadores, estos resultados se basan en una muestra relativamente peque\u00f1a de participantes\u201d, mencionan los autores en el cap\u00edtulo de discusi\u00f3n. Adem\u00e1s, los autores tambi\u00e9n consideran que este tipo de dispositivos y estudios funcionan para la detecci\u00f3n de otras enfermedades virales, como influenza. BIBLIOGRAF\u00cdA NATURE https:\/\/www.nature.com\/articles\/s41591-020-1123-x MOBI HEALTH NEWS https:\/\/www.mobihealthnews.com\/news\/pairing-wearables-data-self-reported-symptoms-could-improve-covid-19-prediction<\/p>","protected":false},"author":1,"featured_media":11013,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[154,155,3401,1418],"tags":[145],"class_list":["post-11012","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comunidades-conectadas","category-el-mundo-en-la-nube","category-iotapps","category-resena-de-publicaciones-cientificas","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/11012","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=11012"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/11012\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/11013"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=11012"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=11012"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=11012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}