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Mauricio Santillana
Mauricio Santillana
Professor of Physics and Electr. and Comp. Engineering, Northeastern Univ. and Harvard T. H. Chan
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 OutbreakPatients with Cancer in SARS-COV-2 Infection
M Dai, D Liu, M Liu, F Zhou, G Li, Z Chen, Z Zhang, H You, M Wu, ...
Cancer discovery 10 (6), 783-791, 2020
12212020
Effect of non-pharmaceutical interventions to contain COVID-19 in China
S Lai, NW Ruktanonchai, L Zhou, O Prosper, W Luo, JR Floyd, ...
nature 585 (7825), 410-413, 2020
10422020
Combining search, social media, and traditional data sources to improve influenza surveillance
M Santillana, AT Nguyen, M Dredze, MJ Paul, EO Nsoesie, JS Brownstein
PLoS computational biology 11 (10), e1004513, 2015
3972015
Aggregated mobility data could help fight COVID-19
CO Buckee, S Balsari, J Chan, M Crosas, F Dominici, U Gasser, YH Grad, ...
Science 368 (6487), 145-146, 2020
3512020
Accurate estimation of influenza epidemics using Google search data via ARGO
S Yang, M Santillana, SC Kou
Proceedings of the National Academy of Sciences 112 (47), 14473-14478, 2015
3502015
Antibiotic resistance increases with local temperature
DR MacFadden, SF McGough, D Fisman, M Santillana, JS Brownstein
Nature Climate Change 8 (6), 510-514, 2018
2352018
The role of absolute humidity on transmission rates of the COVID-19 outbreak
W Luo, MS Majumder, D Liu, C Poirier, KD Mandl, M Lipsitch, ...
MedRxiv, 2020
2312020
Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile
GE Mena, PP Martinez, AS Mahmud, PA Marquet, CO Buckee, ...
Science 372 (6545), eabg5298, 2021
2212021
What can digital disease detection learn from (an external revision to) Google Flu Trends?
M Santillana, DW Zhang, BM Althouse, JW Ayers
American journal of preventive medicine 47 (3), 341-347, 2014
1972014
Flu near you: crowdsourced symptom reporting spanning 2 influenza seasons
MS Smolinski, AW Crawley, K Baltrusaitis, R Chunara, JM Olsen, ...
American journal of public health 105 (10), 2124-2130, 2015
1902015
SARS-CoV-2 RNA concentrations in wastewater foreshadow dynamics and clinical presentation of new COVID-19 cases
F Wu, A Xiao, J Zhang, K Moniz, N Endo, F Armas, R Bonneau, MA Brown, ...
Science of The Total Environment 805, 150121, 2022
1732022
Forecasting Zika incidence in the 2016 Latin America outbreak combining traditional disease surveillance with search, social media, and news report data
SF McGough, JS Brownstein, JB Hawkins, M Santillana
PLoS neglected tropical diseases 11 (1), e0005295, 2017
1712017
A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives
R Nagar, Q Yuan, CC Freifeld, M Santillana, A Nojima, R Chunara, ...
Journal of medical Internet research 16 (10), e3416, 2014
1522014
Evaluation of Internet-based dengue query data: Google Dengue Trends
RT Gluskin, MA Johansson, M Santillana, JS Brownstein
PLoS neglected tropical diseases 8 (2), e2713, 2014
1462014
The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales
C Poirier, W Luo, MS Majumder, D Liu, KD Mandl, TA Mooring, ...
Scientific reports 10 (1), 1-11, 2020
1152020
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, JT Davis, A Vespignani, ...
arXiv preprint arXiv:2004.04019, 2020
1102020
Utilizing nontraditional data sources for near real-time estimation of transmission dynamics during the 2015-2016 Colombian Zika virus disease outbreak
MS Majumder, M Santillana, SR Mekaru, DP McGinnis, K Khan, ...
JMIR public health and surveillance 2 (1), e5814, 2016
1092016
Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches
FS Lu, MW Hattab, CL Clemente, M Biggerstaff, M Santillana
Nature communications 10 (1), 1-10, 2019
1062019
Using electronic health records and Internet search information for accurate influenza forecasting
S Yang, M Santillana, JS Brownstein, J Gray, S Richardson, SC Kou
BMC infectious diseases 17 (1), 1-9, 2017
1032017
Accurate influenza monitoring and forecasting using novel internet data streams: a case study in the Boston Metropolis
FS Lu, S Hou, K Baltrusaitis, M Shah, J Leskovec, J Hawkins, ...
JMIR public health and surveillance 4 (1), e8950, 2018
952018
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