Gregory L. Watson
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View article: The Sepsis ImmunoScore Predicts Sepsis, Mortality, and Deterioration Better than Clinical Scores and Widely Available Biomarkers
The Sepsis ImmunoScore Predicts Sepsis, Mortality, and Deterioration Better than Clinical Scores and Widely Available Biomarkers Open
Background Early identification of patients at risk for sepsis, mortality, and clinical deterioration is essential for improving outcomes, but existing diagnostic and predictive tools have limited accuracy. The objective was to evaluate th…
View article: Multivariate protein landscape of host response in hospitalised patients with suspected infection in the emergency department
Multivariate protein landscape of host response in hospitalised patients with suspected infection in the emergency department Open
Suspected infection requiring hospitalisation has highly heterogenous presentation. Yet, variances in host response and its implications are largely unknown. In this multicentre cohort of 3802 individual patients presenting to the Emergenc…
View article: An evidence review of face masks against COVID-19
An evidence review of face masks against COVID-19 Open
The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform mult…
View article: Development and Validation of the First FDA Authorized Artificial Intelligence/Machine Learning Diagnostic Tool for the Prediction of Sepsis Risk
Development and Validation of the First FDA Authorized Artificial Intelligence/Machine Learning Diagnostic Tool for the Prediction of Sepsis Risk Open
Background Sepsis is a life-threatening condition that demands prompt treatment for improved patient outcomes. Its heterogenous presentation makes early detection challenging, highlighting the need for effective risk assessment tools. Arti…
View article: Effect modification of the association between fine particulate air pollution during a wildfire event and respiratory health by area-level measures of socio-economic status, race/ethnicity, and smoking prevalence
Effect modification of the association between fine particulate air pollution during a wildfire event and respiratory health by area-level measures of socio-economic status, race/ethnicity, and smoking prevalence Open
Fine particulate air pollution (PM 2.5 ) is decreasing in most areas of the United States, except for areas most affected by wildfires, where increasing trends in PM 2.5 can be attributed to wildfire smoke. The frequency and duration of la…
View article: Treeging
Treeging Open
Treeging combines the flexible mean structure of regression trees with the covariance-based prediction strategy of kriging into the base learner of an ensemble prediction algorithm. In so doing, it combines the strengths of the two primary…
View article: Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model
Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model Open
Predictions of COVID-19 case growth and mortality are critical to the decisions of political leaders, businesses, and individuals grappling with the pandemic. This predictive task is challenging due to the novelty of the virus, limited dat…
View article: An evidence review of face masks against COVID-19
An evidence review of face masks against COVID-19 Open
The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform mult…
View article: On Model Determination, Prediction and Statistical Learning: The Case of Space-Time Data
On Model Determination, Prediction and Statistical Learning: The Case of Space-Time Data Open
Problems of model determination, prediction and statistical learning for space-time data arise in many fields. Evaluation metrics developed for independent data are overly optimistic in the dependent context of space-time data and are unre…
View article: Prediction & Model Evaluation for Space-Time Data
Prediction & Model Evaluation for Space-Time Data Open
Evaluation metrics for prediction error, model selection and model averaging on space-time data are understudied and poorly understood. The absence of independent replication makes prediction ambiguous as a concept and renders evaluation p…
View article: Prediction & Model Evaluation for Space-Time Data
Prediction & Model Evaluation for Space-Time Data Open
Evaluation metrics for prediction error, model selection and model averaging on space-time data are understudied and poorly understood. The absence of independent replication makes prediction ambiguous as a concept and renders evaluation p…
View article: Face Masks Against COVID-19: An Evidence Review
Face Masks Against COVID-19: An Evidence Review Open
The science around the use of masks by the general public to impede COVID-19 transmission is advancing rapidly. Policymakers need guidance on how masks should be used by the general population to combat the COVID-19 pandemic. In this narra…
View article: Face Masks Against COVID-19: An Evidence Review
Face Masks Against COVID-19: An Evidence Review Open
The science around the use of masks by the general public to impede COVID-19 transmission is advancing rapidly. Policymakers need guidance on how masks should be used by the general population to combat the COVID-19 pandemic. In this narra…
View article: Pseudo-Likelihood Based Logistic Regression for Estimating COVID-19 Infection and Case Fatality Rates by Gender, Race, and Age in California
Pseudo-Likelihood Based Logistic Regression for Estimating COVID-19 Infection and Case Fatality Rates by Gender, Race, and Age in California Open
In emerging epidemics, early estimates of key epidemiological characteristics of the disease are critical for guiding public policy. In particular, identifying high risk population subgroups aids policymakers and health officials in combat…
View article: Fusing a Bayesian case velocity model with random forest for predicting COVID-19 in the U.S.
Fusing a Bayesian case velocity model with random forest for predicting COVID-19 in the U.S. Open
Predictions of COVID-19 case growth and mortality are critical to the decisions of political leaders, businesses, and individuals grappling with the pandemic. This predictive task is challenging due to the novelty of the virus, limited dat…
View article: Face Masks Against COVID-19: An Evidence Review
Face Masks Against COVID-19: An Evidence Review Open
The science around the use of masks by the general public to impede COVID-19 transmission is advancing rapidly. Policymakers need guidance on how masks should be used by the general population to combat the COVID-19 pandemic. Here,we devel…
View article: Face Masks Against COVID-19: An Evidence Review
Face Masks Against COVID-19: An Evidence Review Open
The science around the use of masks by the general public to impede COVID-19 transmission is advancing rapidly. Policymakers need guidance on how masks should be used by the general population to combat the COVID-19 pandemic. Here, we synt…
View article: Associations between respiratory health and ozone and fine particulate matter during a wildfire event
Associations between respiratory health and ozone and fine particulate matter during a wildfire event Open
Wildfires have been increasing in frequency in the western United States (US) with the 2017 and 2018 fire seasons experiencing some of the worst wildfires in terms of suppression costs and air pollution that the western US has seen. Althou…