{"id":11253,"date":"2018-12-17T15:32:42","date_gmt":"2018-12-17T15:32:42","guid":{"rendered":"https:\/\/www.gsma.com\/solutions-and-impact\/connectivity-for-good\/external-affairs\/gsma_resources\/telefonica-case-study-predicting-air-pollution-levels-24-to-48-hours-in-advance-in-sao-paulo-brazil"},"modified":"2025-11-26T11:50:31","modified_gmt":"2025-11-26T11:50:31","slug":"telefonica-case-study-predicting-air-pollution-levels-24-to-48-hours-in-advance-in-sao-paulo-brazil","status":"publish","type":"gsma_theme_resources","link":"https:\/\/www.gsma.com\/solutions-and-impact\/connectivity-for-good\/external-affairs\/gsma_resources\/telefonica-case-study-predicting-air-pollution-levels-24-to-48-hours-in-advance-in-sao-paulo-brazil\/","title":{"rendered":"Telef\u00f3nica Case Study: Predicting air pollution levels 24 to 48 hours in advance in S\u00e3o Paulo, Brazil"},"content":{"rendered":"<p>Telef\u00f3nica Brazil (Vivo) is working with the municipalities of S\u00e3o Paulo to harness mobile network data to help combat the adverse health impact of air pollution. Developed by the LUCA team, Telef\u00f3nica\u2019s algorithms use machine learning and anonymised data from the mobile network, combined with data from weather, traffic and pollution sensors, to monitor and predict pollution levels over the entire city. The solution can predict pollution levels 24 to 48 hours in advance, enabling local authorities in S\u00e3o Paulo to take preventative steps if nitrogen dioxide (NO2) emissions could endanger human health.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Telef\u00f3nica Brazil (Vivo) is working with the municipalities of S\u00e3o Paulo to harness mobile network data to help combat the adverse health impact of air pollution. Developed by the LUCA team, Telef\u00f3nica\u2019s algorithms use machine learning and anonymised data from the mobile network, combined with data from weather, traffic and pollution sensors, to monitor and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"image":"https:\/\/www.gsma.com\/solutions-and-impact\/connectivity-for-good\/external-affairs\/wp-content\/uploads\/2018\/12\/Screenshot-2018-12-17-at-15.31.12.png","json":{"gsma_resources_type":"0","gsma_resources_thumb":"[2507]","gsma_resources_file":"[]","gsma_resources_multi":[{"version":"English","offsite":"No","file":"[2508]","url":"","video":"","desc":"","image":"[2507]"},{"version":"Espa\u00f1ol","offsite":"No","file":"[2506]","url":"","video":"","desc":"","image":"[2505]"},{"version":"Portugu\u00eas","offsite":"No","file":"[2504]","url":"","video":"","desc":"","image":"[2503]"}],"gsma_resources_wgr":null,"gsma_resources_video":"","gsma_resources_image":"[]","gsma_resources_url":"","gsma_resources_date":"","gsma_resources_button":"Download"}},"tags":[],"resource_categories":[1242],"algolia_discover_type":[3514],"class_list":["post-11253","gsma_theme_resources","type-gsma_theme_resources","status-publish","hentry","resource_categories-ai-for-impact","algolia_discover_type-resource"],"yoast_head":"<!-- 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