Lawrence Baker
RAND Corporation
14 Papers
15 Citations
Lawrence Baker is an academic researcher from RAND Corporation. The author has contributed to research in topics: Medicine & Robust decision-making. The author has an hindex of 2, co-authored 9 publications. Previous affiliations of Lawrence Baker include Frederick S. Pardee RAND Graduate School.
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Papers
The Health and Economic Impacts of Nonpharmaceutical Interventions to Address COVID-19: A Decision Support Tool for State and Local Policymakers
Raffaele Vardavas,Aaron Strong,Jennifer Bouey,Jonathan William Welburn,Pedro Nascimento de Lima,Lawrence Baker,Keren Zhu,Michelle Priest,Lynn Hu,Jeanne S. Ringel +9 more
- 04 May 2020
TL;DR: This document describes the COVID-19 Decision Support Tool, which is designed to fill the urgent need for an assessment of public health interventions to address coronavirus disease 2019 and determine when to relax them.
Real-world characterization of blood glucose control and insulin use in the intensive care unit.
Lawrence Baker,Jason H. Maley,Jason H. Maley,Aldo Robles Arévalo,Aldo Robles Arévalo,Francis DeMichele,Roselyn Mateo-Collado,Stan N. Finkelstein,Leo Anthony Celi,Leo Anthony Celi,Leo Anthony Celi +10 more
TL;DR: It is demonstrated that hyper- and hypoglycaemia are common at the time of admission and remain so 1 week into an ICU admission and a tremendous opportunity for EMR data to guide tailored management is revealed.
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Racial And Ethnic Disparities In COVID-19 Booster Uptake.
TL;DR: Racial and ethnic disparities in COVID-19 vaccine uptake are investigated, using data from the Centers for Disease Control and Prevention, to find uptake of the first dose was higher among Hispanic and Asian people than among White and Black people.
22
Modeling COVID-19 Nonpharmaceutical Interventions: Exploring periodic NPI Strategies
TL;DR: This article developed a COVID-19 transmission model used as part of RAND's web-based decision support tool that compares the effects of non-pharmaceutical public health interventions on health and economic outcomes.
Data-driven curation process for describing the blood glucose management in the intensive care unit.
Aldo Robles Arévalo,Jason H. Maley,Lawrence Baker,Susana M. Vieira,João M. C. Sousa,Stan N. Finkelstein,Roselyn Mateo-Collado,Jesse D. Raffa,Leo Anthony Celi,Leo Anthony Celi,Leo Anthony Celi,Francis DeMichele +11 more
TL;DR: In this paper, the authors make publicly available a dataset that contains the curated entries of blood glucose readings and administered insulin on a per-patient basis during ICU admissions in the Medical Information Mart for Intensive Care (MIMIC-III) database version 1.4.