TY - GEN
T1 - Multi-perspective Characterization of Anaphylactic Risk for COVID-19 Vaccination - A Visual Analytic Approach
AU - Hao, Yue
AU - Cai, Guoray
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Currently, communications of the COVID-19 vaccine risk and benefit have been confusing and ineffective. This research presents a visual analytical approach to enable decision-driven, multi-perspective risk characterization of COVID-19 vaccination. Using data collected from Vaccine Adverse Event Reporting System (VAERS), we designed multiple-views dash-boards based on identified risk factors to support interactive explorations of anaphylactic risks from policy, clinical, and personal contexts. Based on the hypothetical scenarios, we showed that our visual analytical approach offers multiple benefits for risk characterization tasks, including flexibility in focusing on the subset of risk factors that are specific to user's decision context, exploring and assessing risk in multiple levels of details, and characterizing risk metrics together with uncertainties. Our method and tools have potentials of improving COVID-19 vaccine risk communication to address vaccine hesitancy and to inform public policy.
AB - Currently, communications of the COVID-19 vaccine risk and benefit have been confusing and ineffective. This research presents a visual analytical approach to enable decision-driven, multi-perspective risk characterization of COVID-19 vaccination. Using data collected from Vaccine Adverse Event Reporting System (VAERS), we designed multiple-views dash-boards based on identified risk factors to support interactive explorations of anaphylactic risks from policy, clinical, and personal contexts. Based on the hypothetical scenarios, we showed that our visual analytical approach offers multiple benefits for risk characterization tasks, including flexibility in focusing on the subset of risk factors that are specific to user's decision context, exploring and assessing risk in multiple levels of details, and characterizing risk metrics together with uncertainties. Our method and tools have potentials of improving COVID-19 vaccine risk communication to address vaccine hesitancy and to inform public policy.
UR - http://www.scopus.com/inward/record.url?scp=85139002279&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139002279&partnerID=8YFLogxK
U2 - 10.1109/ICHI54592.2022.00103
DO - 10.1109/ICHI54592.2022.00103
M3 - Conference contribution
AN - SCOPUS:85139002279
T3 - Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
SP - 539
EP - 541
BT - Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Healthcare Informatics, ICHI 2022
Y2 - 11 June 2022 through 14 June 2022
ER -
