| 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 | 227 | 2014 |
| 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 | 179 | 2015 |
| 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 | 164 | 2015 |
| 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 | 143 | 2016 |
| 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, 336, 2018 | 56 | 2018 |
| 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 | 40 | 2017 |
| Worldwide influenza surveillance through twitter MJ Paul, M Dredze, DA Broniatowski, N Generous Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015 | 39 | 2015 |
| 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 | 33 | 2020 |
| 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 | 28 | 2017 |
| 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 | 27 | 2014 |
| 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 | 24 | 2022 |
| 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 | 22 | 2020 |
| 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 | 22 | 2019 |
| 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 | 19 | 2021 |
| 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 | 14 | 2016 |
| 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 | 10 | 2018 |
| 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 | 6 | 2019 |
| 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 | 3 | 2017 |
| 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 Laboratory (LANL), Los Alamos, NM (United States), 2013 | 3 | 2013 |
Geoffrey FairchildLos Alamos National LaboratoryVerified email at lanl.gov
