{"id":22445,"date":"2021-11-02T09:11:26","date_gmt":"2021-11-02T15:11:26","guid":{"rendered":"https:\/\/saluddigital.com\/?p=22445"},"modified":"2025-10-21T11:45:41","modified_gmt":"2025-10-21T17:45:41","slug":"estudio-analizo-la-movilidad-de-314-ciudades-de-latinoamerica-durante-la-pandemia-con-datos-de-telefonos-moviles","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/plataformas-digitales\/estudio-analizo-la-movilidad-de-314-ciudades-de-latinoamerica-durante-la-pandemia-con-datos-de-telefonos-moviles\/","title":{"rendered":"Study analyzed the mobility of 314 cities in Latin America during the pandemic with mobile phone data"},"content":{"rendered":"
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The study was published in the scientific journal The Lancet and aimed to analyze the effects of changes in mobility during the health emergency in Latin American cities.<\/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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The study entitled: "The effect of population mobility on the incidence of COVID-19 in 314 Latin American cities: a longitudinal ecological study with mobile phone location data", was published in August of this year and will appear in the edition November of The Lancet.<\/p>

\u00a0<\/p>

The analysis aimed to examine the longitudinal relationships between population mobility and the incidence of COVID-19 in Latin American cities. For this, mobile phone location data, confined cases of COVID-19 per day, as well as urban and social characteristics of the cities, were compiled to analyze the mobility and incidence of COVID-19. The data used correspond to cities with more than 100 thousand inhabitants in Argentina, Brazil, Colombia, Guatemala and Mexico from March to August 2020.<\/p>

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The United Nations Development Program in Latin America and the Caribbean (UNDP), and Grandata, an American advanced research company specialized in identifying market trends, which formed a collaboration alliance in April 2020 during the first months of the pandemic, were in charge of providing mobile phone-based mobility data for this study.<\/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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"We include 1,031 suburban areas, which represent 314 Latin American cities, in Argentina (107 suburban areas), Brazil (416), Colombia (82), Guatemala (20), and Mexico (406)," the study explains.<\/p>

The study sought to verify that high levels of international and intercity mobility cause serious outbreaks of COVID-19. This specific study provided evidence within Latin America, and provided evidence of the importance of social distancing to prevent the spread of the virus.<\/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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\u201cSuburban areas in every country had sharp reductions in mobility in March 2020, even before federal restrictions began. In Argentina, Colombia, and Mexico, mobility declines persisted in the following months, with relatively narrow within-country variability. In contrast, in Brazil and Guatemala, daily mobility gradually returned to rates similar to baseline mobility, with great variability within the country,\u201d the authors noted in the study results.<\/p>

The authors observed a positive association between changes in population mobility in suburban areas and the incidence of COVID-19 among their residents.<\/p>

"This study has several limitations. Confirmed cases of COVID-19 were obtained directly from official government sources and are likely to be underreported, which may vary depending on access to testing and care. However, we adjusted for suburban area education, which has been shown to be associated with access to testing.<\/p>

Get to know the results of the study in detail by entering the following link: https:\/\/www.thelancet.com\/journals\/landig\/article\/PIIS2589-7500(21)00174-6\/fulltext<\/a><\/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 LANCET<\/strong><\/p>

https:\/\/www.thelancet.com\/journals\/landig\/article\/PIIS2589-7500(21)00174-6\/fulltext<\/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":"

El estudio fue publicado en la revista cient\u00edfica The Lancet y tuvo como objetivo analizar los efectos del cambio en la movilidad durante la emergencia sanitaria en ciudades latinoamericanas. El estudio titulado: \u201cEl efecto de la movilidad de la poblaci\u00f3n en la incidencia de COVID-19 en 314 ciudades latinoamericanas: un estudio ecol\u00f3gico longitudinal con datos de ubicaci\u00f3n de tel\u00e9fonos m\u00f3viles\u201d, fue publicado en agosto de este a\u00f1o y aparecer\u00e1 en la edici\u00f3n de noviembre de The Lancet. El an\u00e1lisis tuvo como objetivo examinar las relaciones longitudinales entre la movilidad de la poblaci\u00f3n y la incidencia de COVID-19 en ciudades latinoamericanas. Para ello se compilaron datos de ubicaci\u00f3n de tel\u00e9fonos m\u00f3viles, casos confinados de COVID-19 por d\u00eda, as\u00ed como caracter\u00edsticas urbanas y sociales de las ciudades, para analizar la movilidad y la incidencia de COVID-19.  Los datos utilizados corresponden a ciudades de m\u00e1s de 100 mil habitantes en Argentina, Brasil, Colombia, Guatemala y M\u00e9xico de marzo a agosto de 2020. El Programa de Naciones Unidas para el Desarrollo en Am\u00e9rica Latina y el Caribe (PNUD), y Grandata, una compa\u00f1\u00eda estadounidense de investigaci\u00f3n avanzada, especializada en la identificaci\u00f3n de tendencias de mercado, que formaron una alianza de colaboraci\u00f3n en abril de 2020 durante los primeros meses de la pandemia, fueron los encargados de proporcionar los datos de movilidad basada en tel\u00e9fonos m\u00f3viles para este estudio. \u201cIncluimos 1031 \u00e1reas suburbanas, que representan 314 ciudades latinoamericanas, en Argentina (107 \u00e1reas suburbanas), Brasil (416), Colombia (82), Guatemala (20) y M\u00e9xico (406)\u201d, explica el estudio. El estudio busc\u00f3 comprobar que los altos niveles de movilidad internacional e interurbana provocan brotes graves de COVID-19. Este estudio en espec\u00edfico proporcion\u00f3 evidencia dentro de Latinoam\u00e9rica, y aport\u00f3 evidencia de la importancia del distanciamiento social para evitar la propagaci\u00f3n del virus. \u201cLas \u00e1reas suburbanas en todos los pa\u00edses tuvieron fuertes reducciones en la movilidad en marzo de 2020, incluso antes de que comenzaran las restricciones federales. En Argentina, Colombia y M\u00e9xico, las reducciones de la movilidad persistieron en los meses siguientes, con una variabilidad dentro del pa\u00eds relativamente estrecha. Por el contrario, en Brasil y Guatemala, la movilidad diaria volvi\u00f3 gradualmente a tasas similares a la movilidad de referencia, con una gran variabilidad dentro del pa\u00eds\u201d, indicaron los autores en los resultados del estudio. Los autores observaron una asociaci\u00f3n positiva entre los cambios de la movilidad de la poblaci\u00f3n en \u00e1reas suburbanas y en la incidencia de COVID-19 entre sus residentes. \u201cEste estudio tiene varias limitaciones. Los casos confirmados de COVID-19 se obtuvieron directamente de fuentes gubernamentales oficiales y es probable que no se notifiquen lo suficiente, lo que puede variar seg\u00fan el acceso a las pruebas y la atenci\u00f3n m\u00e9dica. Sin embargo, ajustamos la educaci\u00f3n del \u00e1rea suburbana, que se ha demostrado que est\u00e1 asociada con el acceso a las pruebas\u201d, explica la publicaci\u00f3n. Conoce los resultados del estudio de forma detallada ingresando en siguiente enlace: https:\/\/www.thelancet.com\/journals\/landig\/article\/PIIS2589-7500(21)00174-6\/fulltext BIBLIOGRAF\u00cdA THE LANCET https:\/\/www.thelancet.com\/journals\/landig\/article\/PIIS2589-7500(21)00174-6\/fulltext<\/p>","protected":false},"author":1,"featured_media":22453,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3395,156,160,153,1418],"tags":[145],"class_list":["post-22445","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-apps-moviles-e-internet-de-las-cosas","category-big-data","category-noticias","category-plataformas-digitales","category-resena-de-publicaciones-cientificas","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/22445","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=22445"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/22445\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/22453"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=22445"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=22445"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=22445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}