Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ashlynn R Daughton"'
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 10, p e1007165 (2019)
Seasonal influenza is a sometimes surprisingly impactful disease, causing thousands of deaths per year along with much additional morbidity. Timely knowledge of the outbreak state is valuable for managing an effective response. The current state of t
Externí odkaz:
https://doaj.org/article/01d0763d434c4d05998166dd8798c71d
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006599 (2019)
The ability to produce timely and accurate flu forecasts in the United States can significantly impact public health. Augmenting forecasts with internet data has shown promise for improving forecast accuracy and timeliness in controlled settings, but
Externí odkaz:
https://doaj.org/article/4813bf4d25db4fc698fc2f8717765c40
Autor:
Dasha Pruss, Yoshinari Fujinuma, Ashlynn R Daughton, Michael J Paul, Brad Arnot, Danielle Albers Szafir, Jordan Boyd-Graber
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0216922 (2019)
This work examines Twitter discussion surrounding the 2015 outbreak of Zika, a virus that is most often mild but has been associated with serious birth defects and neurological syndromes. We introduce and analyze a collection of 3.9 million tweets me
Externí odkaz:
https://doaj.org/article/2912c455711749f2a7447df49eae057a
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0158330 (2016)
Influenza causes significant morbidity and mortality each year, with 2-8% of weekly outpatient visits around the United States for influenza-like-illness (ILI) during the peak of the season. Effective use of existing flu surveillance data allows offi
Externí odkaz:
https://doaj.org/article/9942411b78ba4b86b00aa24286b41863
Publikováno v:
Digital Government: Research and Practice. 2:1-14
Colombia experienced a decades-long civil war between the government and many left-wing guerrilla groups. It was marked by violence, kidnappings, and large quantities of human displacement. Monitoring and forecasting civil wars are important to mitig
Autor:
Ashlynn R. Daughton, Michael J. Paul
Publikováno v:
Social Network Analysis and Mining. 11
This work considers the use of classifiers in a downstream aggregation task estimating class proportions, such as estimating the percentage of reviews for a movie with positive sentiment. We derive the bias and variance of the class proportion estima
Autor:
Nilesh Mukundan, Gopal Nadiga, Chrysm Watson Ross, Martha Barnard, Dax Gerts, Courtney D. Shelley, Nidhi Parikh, Geoffrey Fairchild, Isabel Crooker, Nidia Yadira Vaquera Chavez, Travis Pitts, Ashlynn R. Daughton
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e27059 (2021)
Journal of Medical Internet Research
Journal of Medical Internet Research
Background Health authorities can minimize the impact of an emergent infectious disease outbreak through effective and timely risk communication, which can build trust and adherence to subsequent behavioral messaging. Monitoring the psychological imp
Autor:
Ashlynn R Daughton, Courtney D Shelley, Martha Barnard, Dax Gerts, Chrysm Watson Ross, Isabel Crooker, Gopal Nadiga, Nilesh Mukundan, Nidia Yadira Vaquera Chavez, Nidhi Parikh, Travis Pitts, Geoffrey Fairchild
BACKGROUND Health authorities can minimize the impact of an emergent infectious disease outbreak through effective and timely risk communication, which can build trust and adherence to subsequent behavioral messaging. Monitoring the psychological imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3811e8641f9d176d11a06b895b025198
https://doi.org/10.2196/preprints.27059
https://doi.org/10.2196/preprints.27059
Autor:
Dax Gerts, Courtney D Shelley, Nidhi Parikh, Travis Pitts, Chrysm Watson Ross, Geoffrey Fairchild, Nidia Yadria Vaquera Chavez, Ashlynn R Daughton
BACKGROUND The COVID-19 outbreak has left many people isolated within their homes; these people are turning to social media for news and social connection, which leaves them vulnerable to believing and sharing misinformation. Health-related misinform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1655ca9854b34a09b94ff87d77c7807b
https://doi.org/10.2196/preprints.26527
https://doi.org/10.2196/preprints.26527
Autor:
Chrysm Watson Ross, Geoffrey Fairchild, Courtney D. Shelley, Ashlynn R. Daughton, Nidhi Parikh, Travis Pitts, Nidia Yadria Vaquera Chavez, Dax Gerts
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 4, p e26527 (2021)
JMIR Public Health and Surveillance
JMIR Public Health and Surveillance
Background The COVID-19 outbreak has left many people isolated within their homes; these people are turning to social media for news and social connection, which leaves them vulnerable to believing and sharing misinformation. Health-related misinform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa14030260b0390bad863bae0e7b2599
http://arxiv.org/abs/2012.07729
http://arxiv.org/abs/2012.07729