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Managing Pandemics with Health Informatics: Successes and Challenges

Mujeeb Basit, Christoph U. Lehmann, Richard J Medford

2021Yearbook of Medical Informatics25 citationsDOIOpen Access PDF

Abstract

INTRODUCTION: The novel COVID-19 pandemic struck the world unprepared. This keynote outlines challenges and successes using data to inform providers, government officials, hospitals, and patients in a pandemic. METHODS: The authors outline the data required to manage a novel pandemic including their potential uses by governments, public health organizations, and individuals. RESULTS: An extensive discussion on data quality and on obstacles to collecting data is followed by examples of successes in clinical care, contact tracing, and forecasting. Generic local forecast model development is reviewed followed by ethical consideration around pandemic data. We leave the reader with thoughts on the next inevitable outbreak and lessons learned from the COVID-19 pandemic. CONCLUSION: COVID-19 must be a lesson for the future to direct us to better planning and preparing to manage the next pandemic with health informatics.

Topics & Concepts

PandemicCoronavirus disease 2019 (COVID-19)InformaticsHealth informatics2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Data sciencePolitical scienceComputer scienceMedicineVirologyHealth careInfectious disease (medical specialty)OutbreakDiseaseLawPathologyCOVID-19 Digital Contact TracingCOVID-19 epidemiological studiesData-Driven Disease Surveillance
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