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Journal of Medical Internet Research|May 17, 2019
Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika VirusAshlynn R Daughton, Michael J Paul
Plos Computational Biology|February 2, 2019
Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limitedDave Osthus, Ashlynn R Daughton, Reid Priedhorsky
JMIR Public Health and Surveillance|April 25, 2020
Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational StudyAshlynn R Daughton, Rumi Chunara, Michael J Paul
Scientific Reports|June 20, 2017
Corrigendum: An approach to and web-based tool for infectious disease outbreak intervention analysisAshlynn R Daughton, Nicholas Generous, Reid Priedhorsky, et al.
Scientific Reports|April 19, 2017
An approach to and web-based tool for infectious disease outbreak intervention analysisAshlynn R Daughton, Nicholas Generous, Reid Priedhorsky, et al.
Plos Computational Biology|October 2, 2019
Estimating influenza incidence using search query deceptiveness and generalized ridge regressionReid Priedhorsky, Ashlynn R Daughton, Martha Barnard, et al.
Nature Protocols|February 15, 2014
Capturing and cultivating single bacterial cells in gel microdroplets to obtain near-complete genomesArmand E K Dichosa, Ashlynn R Daughton, Krista G Reitenga, et al.
Health Security|June 18, 2016
Surveillance for Emerging Diseases with Multiplexed Point-of-Care DiagnosticsAlina Deshpande, Benjamin McMahon, Ashlynn R Daughton, et al.
Frontiers in Public Health|December 12, 2018
Epidemiological Data Challenges: Planning for a More Robust Future Through Data StandardsGeoffrey Fairchild, Byron Tasseff, Hari Khalsa, et al.
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