The challenges of data usage for the United States’ COVID-19 response
| Autor: | Matthew D. Joyner, Benjamin D. Trump, Igor Linkov, Jeffrey C. Cegan, Stephanie Galaitsi, Kaitlin M. Volk |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19) Computer Networks and Communications Data management 02 engineering and technology Library and Information Sciences New england 020204 information systems 0502 economics and business Pandemic Opinion Paper 0202 electrical engineering electronic engineering information engineering medicine Data reporting Public health data business.industry Public health 05 social sciences Public relations Emergency situations Coronavirus Action (philosophy) 050211 marketing business Decision making Information Systems |
| Zdroj: | International Journal of Information Management |
| ISSN: | 0143-6236 0268-4012 |
| Popis: | During the coronavirus pandemic, policy makers need to interpret available public health data to make decisions affecting public health. However, the United States' coronavirus response faced data gaps, inadequate and inconsistent definitions of data across different governmental jurisdictions, ambiguous timing in reporting, problems in accessing data, and changing interpretations from scientific institutions. These present numerous problems for the decision makers relying on this information. This paper documents some of the data pitfalls in coronavirus public health data reporting, as identified by the authors in the course of supporting data management for New England's coronavirus response. We provide recommendations for individuals to collect data more effectively during emergency situations such as a COVID-19 surge, as well as recommendations for institutions to provide more meaningful data for various users to access. Through this, we hope to motivate action to avoid data pitfalls during public health responses in the future. |
| Databáze: | OpenAIRE |
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