Article

An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: A Covid-19 case study

2023-07-11

Abstract excerpt

Institutions have an enhanced ability to implement tailored mitigation measures during infectious disease outbreaks. However, macro-level predictive models are inefficient for guiding institutional decision-making due to uncertainty in local-level model input parameters. We present an institutional-level modeling toolkit used to inform prediction, resource procurement and allocation, and policy implementation at C...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7fd0cf70-3838-543c-8473-c4c058a3fbf5
DOI: 10.21203/rs.3.rs-3116880/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: A Covid-19 case studyDOI 10.21203/rs.3.rs-3116880/v1Read

An Evaluation of Prospective COVID-19 Modeling: From Data to Science TranslationSemantic proximity Read

EpiControl: a data-driven tool for optimising epidemic interventions and automating scenario planning to support real-time responseSemantic proximity Read

Assessing the accuracy of California county level COVID-19 hospitalization forecasts to inform public policy decision makingSemantic proximity Read

Adaptive metrics for an evolving pandemic A dynamic approach to area-level COVID-19 risk designationsSemantic proximity Read

Democratizing Infectious Disease Modeling: An AI Assistant for Generating, Simulating, and Analyzing Dynamic ModelsSemantic proximity Read

Model-based Evaluation of Continued COVID-19 Risk at Long Term Care FacilitiesSemantic proximity Read

COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation ModelSemantic proximity Read

Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response frameworkSemantic proximity Read

Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemicSemantic proximity Read

Combining models to generate consensus medium-term projections of hospital admissions, occupancy and deaths relating to COVID-19 in EnglandSemantic proximity Read

A Multi-Method Approach to Modeling COVID-19 Disease Dynamics in the United StatesSemantic proximity Read

Foundation time series models for forecasting and policy evaluation in infectious disease epidemicsSemantic proximity Read