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Harmonizing government responses to the COVID-19 pandemic

Health and Fitness

Harmonizing government responses to the COVID-19 pandemic

C. Cheng, L. Messerschmidt, et al.

Explore the groundbreaking harmonization of COVID-19 public health and safety measures data conducted by leading researchers including Cindy Cheng, Luca Messerschmidt, and Isaac Bravo. This work bridges significant gaps in existing datasets, unveiling insights that span time and geography to improve our understanding of the pandemic's response.

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Playback language: English
Abstract
This paper presents a harmonization effort of COVID-19 public health and safety measures (PHSM) data from eight major datasets into the CoronaNet taxonomy. The authors address the existing gaps in comprehensive COVID-19 PHSM data, highlighting the challenges and methodologies used to harmonize diverse datasets. A comparative analysis of the datasets, the harmonization process, and an assessment of the resulting dataset's strengths and limitations are provided. The harmonized dataset offers improved coverage of COVID-19 PHSM across time and geographic regions.
Publisher
Scientific Data
Published On
Feb 14, 2024
Authors
Cindy Cheng, Luca Messerschmidt, Isaac Bravo, Marco Waldbauer, Rohan Bhavikatti, Caress Schenk, Vanja Grujic, Tim Model, Robert Kubinec, Joan Barceló
Tags
COVID-19
Public Health
Data Harmonization
Safety Measures
Comparative Analysis
Taxonomy
Pandemic Response

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