Harvard Catalyst Profiles

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Mauricio Santillana, Ph.D.

Co-Author

This page shows the publications co-authored by Mauricio Santillana and Canelle Poirier.
Connection Strength

3.207
  1. Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach. PLoS One. 2021; 16(5):e0250890.
    View in: PubMed
    Score: 0.937
  2. The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales. Sci Rep. 2020 10 12; 10(1):17002.
    View in: PubMed
    Score: 0.899
  3. The Role of Environmental Factors on Transmission Rates of the COVID-19 Outbreak: An Initial Assessment in Two Spatial Scales. SSRN. 2020 Mar 12; 3552677.
    View in: PubMed
    Score: 0.863
  4. Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models. J Med Internet Res. 2020 Sep 22; 22(9):e23996.
    View in: PubMed
    Score: 0.224
  5. Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models. J Med Internet Res. 2020 08 17; 22(8):e20285.
    View in: PubMed
    Score: 0.222
  6. A nowcasting framework for correcting for reporting delays in malaria surveillance. PLoS Comput Biol. 2021 11; 17(11):e1009570.
    View in: PubMed
    Score: 0.061
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.