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Surveillance systems are essential for dengue prevention and control. However, traditional systems often rely on delayed data, limiting their effectiveness. To address this, nowcasting methods are needed to estimate underreported cases, enabling more timely decision-making. This study evaluates the value of using Google Trends indices of dengue-related keywords to complement official dengue data for nowcasting dengue in Brazil, a country frequently affected by this disease. We compare various nowcasting approaches that incorporate autoregressive features from official dengue cases, Google Trends data, and a combination of both, using a naive approach as a baseline. The performance of these methods is evaluated by nowcasting weekly dengue cases from March 2024 to January 2025 across Brazilian states. Error measures and 50% and 95% coverage probabilities reveal that models incorporating Google Trends data enhance the accuracy of weekly nowcasts across states and offer valuable insights into dengue activity levels. To support real-time decision-making, we also present Dengue Tracker, a website that displays weekly dengue nowcasts and trends to inform both decision-makers and the public, improving situational awareness of dengue activity. In conclusion, the study demonstrates the value of digital data sources in enhancing dengue nowcasting, and emphasizes the value of integrating alternative data streams into traditional surveillance systems for better-informed decision-making.<\/jats:p>","DOI":"10.1371\/journal.pntd.0012501","type":"journal-article","created":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T18:03:06Z","timestamp":1755540186000},"page":"e0012501","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":10,"title":["Dengue nowcasting in Brazil by combining official surveillance data and Google Trends information"],"prefix":"10.1371","volume":"19","author":[{"given":"Yang","family":"Xiao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guilherme","family":"Soares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonardo","family":"Bastos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Izbicki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5266-0201","authenticated-orcid":true,"given":"Paula","family":"Moraga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2025,8,18]]},"reference":[{"issue":"10450","key":"pntd.0012501.ref001","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/S0140-6736(24)01542-3","article-title":"Dengue: The threat to health now and in the future","volume":"404","year":"2024","journal-title":"Lancet."},{"issue":"8","key":"pntd.0012501.ref002","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1111\/tmi.13797","article-title":"Risk factors for mortality in patients with dengue: A systematic review and meta-analysis","volume":"27","author":"GCL Chagas","year":"2022","journal-title":"Trop Med Int Health."},{"key":"pntd.0012501.ref003","doi-asserted-by":"crossref","first-page":"100616","DOI":"10.1016\/j.sste.2023.100616","article-title":"Joint spatial modeling of the risks of co-circulating mosquito-borne diseases in Cear\u00e1, Brazil","volume":"47","author":"J Pavani","year":"2023","journal-title":"Spat Spatiotemporal Epidemiol."},{"issue":"1665","key":"pntd.0012501.ref004","doi-asserted-by":"crossref","first-page":"20130551","DOI":"10.1098\/rstb.2013.0551","article-title":"Climate, environmental and socio-economic change: Weighing up the balance in vector-borne disease transmission","volume":"370","author":"PE Parham","year":"2015","journal-title":"Philos Trans R Soc Lond B Biol Sci."},{"key":"pntd.0012501.ref005","unstructured":"Pan American Health Organization. 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