Publications – Center for Communicable Disease Dynamics

Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data.

Author(s): De Salazar PM, Lu F, Hay JA, Gomez-Barroso D, Fernandez-Navarro P, Martínez E, Astray-Mochales J, Amillategui R, Garcia-Fulgueiras A, Chirlaque MD, Sanchez-Migallon A, Larrauri A, Sierra MJ, Lipsitch M, Simon F, Santillana M, Hernán MAJournal: medRxivPMID: 33532788 January 2021

Designing public health responses to outbreaks requires close monitoring of population-level health indicators in real-time. Thus, an accurate estimation of…

Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile.

Author(s): Mena G, Martinez PP, Mahmud AS, Marquet PA, Buckee CO, Santillana MJournal: medRxivPMID: 33469598 January 2021

The current coronavirus disease 2019 (COVID-19) pandemic has impacted dense urban populations particularly hard. Here, we provide an in-depth characterization…

Incorporating human mobility data improves forecasts of Dengue fever in Thailand.

Author(s): Kiang MV, Santillana M, Chen JT, Onnela JP, Krieger N, Engø-Monsen K, Ekapirat N, Areechokchai D, Prempree P, Maude RJ, Buckee COJournal: Sci RepPMID: 33441598 January 2021

Over 390 million people worldwide are infected with dengue fever each year. In the absence of an effective vaccine for…

Avoidable Serum Potassium Testing in the Cardiac ICU: Development and Testing of a Machine-Learning Model.

Author(s): Patel BB, Sperotto F, Molina M, Kimura S, Delgado MI, Santillana M, Kheir JNJournal: Pediatr Crit Care MedPMID: 33332868 December 2020

To create a machine-learning model identifying potentially avoidable blood draws for serum potassium among pediatric patients following cardiac surgery.

Stress as a meaningful variable in models of COVID-19 spreading

Author(s): Trenado C, Santillana M, Ruge DJournal: PsyArXiv December 2020

Covid-19 is a respiratory disease caused by the severe acute respiratory syndrome coronavirus – 2 (SARS-CoV-2), which was first identified…

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