Publications

Methods for early characterisation of the severity and dynamics of SARS-CoV-2 variants: a population-based time series analysis in South Africa.

Author(s): Reichert E, Schaeffer B, Gantt S, Rumpler E, Govender N, Welch R, Shonhiwa AM, Iwu CD, Lamola TM, Moema-Matiea I, Muganhiri D, Hanage W, Santillana M, Jassat W, Cohen C, Swerdlow DJournal: Lancet MicrobePMID: 36057266 August 2022

Assessment of disease severity associated with a novel pathogen or variant provides crucial information needed by public health agencies and…

Leveraging Serosurveillance and Postmortem Surveillance to Quantify the Impact of COVID-19 in Africa

Author(s): Kogan NE, Gantt S, Swerdlow D, Viboud C, Semakula M, Lipsitch M, Santillana MJournal: medRxiv July 2022

The COVID-19 pandemic has had a devastating impact on global health, the magnitude of which appears to differ intercontinentally: for…

Prediction of Impending Central Line Associated Bloodstream Infections in Hospitalized Cardiac Patients: Development and Testing of a Machine-Learning Model.

Author(s): Bonello K, Emani S, Sorensen A, Shaw L, Godsay M, Delgado M, Sperotto F, Santillana M, Kheir JNJournal: J Hosp InfectPMID: 35738317 June 2022

While modeling of central line-associated blood stream infection (CLABSI) risk factors is common, models that predict an impending CLABSI in…

Machine learning approaches to predicting no-shows in pediatric medical appointment.

Author(s): Liu D, Shin WY, Sprecher E, Conroy K, Santiago O, Wachtel G, Santillana MJournal: NPJ Digit MedPMID: 35444260 April 2022

Patients' no-shows, scheduled but unattended medical appointments, have a direct negative impact on patients' health, due to discontinuity of treatment…

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, Martinez EV, 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: PLoS Comput BiolPMID: 35358171 March 2022

When responding to infectious disease outbreaks, rapid and accurate estimation of the epidemic trajectory is critical. However, two common data…

Methods for early characterisation of the severity and dynamics of SARS-CoV-2 variants: a population-based time series analysis in South Africa.

Leveraging Serosurveillance and Postmortem Surveillance to Quantify the Impact of COVID-19 in Africa

Prediction of Impending Central Line Associated Bloodstream Infections in Hospitalized Cardiac Patients: Development and Testing of a Machine-Learning Model.

Machine learning approaches to predicting no-shows in pediatric medical appointment.

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

Prevalence of Firearm Ownership Among Individuals With Major Depressive Symptoms.

Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil.

Characterizing features of outbreak duration for novel SARS-CoV-2 variants of concern

Association of Major Depressive Symptoms With Endorsement of COVID-19 Vaccine Misinformation Among US Adults.

A nowcasting framework for correcting for reporting delays in malaria surveillance.