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Nicholas Generous
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Global disease monitoring and forecasting with Wikipedia
N Generous, G Fairchild, A Deshpande, SY Del Valle, R Priedhorsky
PLoS computational biology 10 (11), e1003892, 2014
2192014
Forecasting the 2013–2014 influenza season using Wikipedia
KS Hickmann, G Fairchild, R Priedhorsky, N Generous, JM Hyman, ...
PLoS computational biology 11 (5), e1004239, 2015
1752015
Enhancing disease surveillance with novel data streams: challenges and opportunities
BM Althouse, SV Scarpino, LA Meyers, JW Ayers, M Bargsten, ...
EPJ data science 4 (1), 1-8, 2015
1552015
Epidemic forecasting is messier than weather forecasting: The role of human behavior and internet data streams in epidemic forecast
KR Moran, G Fairchild, N Generous, K Hickmann, D Osthus, ...
The Journal of infectious diseases 214 (suppl_4), S404-S408, 2016
1252016
Epidemiological data challenges: planning for a more robust future through data standards
G Fairchild, B Tasseff, H Khalsa, N Generous, AR Daughton, N Velappan, ...
Frontiers in Public Health 6, 414526, 2018
432018
Measuring global disease with Wikipedia: Success, failure, and a research agenda
R Priedhorsky, D Osthus, AR Daughton, KR Moran, N Generous, ...
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
392017
Worldwide influenza surveillance through twitter
MJ Paul, M Dredze, DA Broniatowski, N Generous
Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015
362015
Resources to discover and use short linear motifs in viral proteins
P Hraber, PE O’Maille, A Silberfarb, K Davis-Anderson, N Generous, ...
Trends in biotechnology 38 (1), 113-127, 2020
302020
An approach to and web-based tool for infectious disease outbreak intervention analysis
AR Daughton, N Generous, R Priedhorsky, A Deshpande
Scientific Reports 7 (1), 46076, 2017
252017
Advancing a framework to enable characterization and evaluation of data streams useful for biosurveillance
KJ Margevicius, N Generous, KJ Taylor-McCabe, M Brown, WB Daniel, ...
PLoS One 9 (1), e83730, 2014
252014
Defending our public biological databases as a global critical infrastructure
J Caswell, JD Gans, N Generous, CM Hudson, E Merkley, C Johnson, ...
Frontiers in bioengineering and biotechnology 7, 58, 2019
202019
Google Health Trends performance reflecting dengue incidence for the Brazilian states
D Romero-Alvarez, N Parikh, D Osthus, K Martinez, N Generous, ...
BMC infectious diseases 20, 1-15, 2020
172020
Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil
LA Castro, N Generous, W Luo, A Pastore y Piontti, K Martinez, ...
PLoS neglected tropical diseases 15 (5), e0009392, 2021
152021
Higher education responses to COVID-19 in the United States: Evidence for the impacts of university policy
B Klein, N Generous, M Chinazzi, Z Bhadricha, R Gunashekar, P Kori, ...
PLOS digital health 1 (6), e0000065, 2022
132022
The Biosurveillance Analytics Resource Directory (BARD): facilitating the use of epidemiological models for infectious disease surveillance
KJ Margevicius, N Generous, E Abeyta, B Althouse, H Burkom, L Castro, ...
PLoS One 11 (1), e0146600, 2016
102016
Predicting dengue incidence in Brazil using broad-scale spectral remote sensing imagery
A Ziemann, G Fairchild, J Conrad, C Manore, N Parikh, S Del Valle, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
92018
Selecting essential information for biosurveillance—a multi-criteria decision analysis
N Generous, KJ Margevicius, KJ Taylor-McCabe, M Brown, WB Daniel, ...
PLoS One 9 (1), e86601, 2014
7*2014
Analytics for investigation of disease outbreaks: web-based analytics facilitating situational awareness in unfolding disease outbreaks
N Velappan, AR Daughton, G Fairchild, WE Rosenberger, N Generous, ...
JMIR Public Health and Surveillance 5 (1), e12032, 2019
52019
An extensible framework and database of infectious disease for biosurveillance
AR Daughton, R Priedhorsky, G Fairchild, N Generous, A Hengartner, ...
BMC Infectious Diseases 17, 1-8, 2017
32017
A Systematic Evaluation of Traditional and Non-Traditional Data Streams for Integrated Global Biosurveillance–Final Report
A Deshpande, MG Brown, LA Castro, WB Daniel, EN Generous, ...
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2013
32013
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Articles 1–20