Publications

Computerized Prediction of Avoidable Serum Potassium Testing in Critically Ill Cardiac Patients

Author(s): Sperotto F, Patel BB, Molina M, Kimura S, Delgado M, Santillana M, Kheir JJournal: Circ. J. November 2020

Electrolytes are frequently monitored among critically ill patients, especially among cardiac patients due to higher risk of arrhythmias. However, a…

Rates of increase of antibiotic resistance and ambient temperature in Europe: a cross-national analysis of 28 countries between 2000 and 2016.

Author(s): McGough SF, MacFadden DR, Hattab MW, Mølbak K, Santillana MJournal: Euro SurveillPMID: 33183408 November 2020

BackgroundThe rapid increase of bacterial antibiotic resistance could soon render our most effective method to address infections obsolete. Factors influencing…

COVID-19: US federal accountability for entry, spread, and inequities-lessons for the future.

Author(s): Hanage WP, Testa C, Chen JT, Davis L, Pechter E, Seminario P, Santillana M, Krieger NJournal: Eur J EpidemiolPMID: 33136249 November 2020

The United States (US) has been among those nations most severely affected by the first-and subsequent-phases of the pandemic of…

The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales.

Author(s): Poirier C, Luo W, Majumder MS, Liu D, Mandl KD, Mooring TA, Santillana MJournal: Sci RepPMID: 33046802 October 2020

First identified in Wuhan, China, in December 2019, a novel coronavirus (SARS-CoV-2) has affected over 16,800,000 people worldwide as of…

Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach.

Author(s): Castiñeira D, Schlosser KR, Geva A, Rahmani AR, Fiore G, Walsh BK, Smallwood CD, Arnold JH, Santillana MJournal: Respir CarePMID: 32879034 September 2020

Real-time estimation of disease activity in emerging outbreaks using internet search information.

Author(s): Aiken EL, McGough SF, Majumder MS, Wachtel G, Nguyen AT, Viboud C, Santillana MJournal: PLoS Comput BiolPMID: 32804932 August 2020

Understanding the behavior of emerging disease outbreaks in, or ahead of, real-time could help healthcare officials better design interventions to…

Real-time forecasting of the COVID-19 outbreak in Chinese provinces: Machine learning approach using novel digital data and estimates from mechanistic models.

Author(s): Poirier C, Liu D, Clemente L, Ding X, Chinazzi M, Vespignani A, Santillana MJournal: J Med Internet ResPMID: 32730217 July 2020

The inherent difficulty to identify and monitor emerging outbreaks caused by novel pathogens can lead to their rapid spread; and…