Open AccessStructural Zero Data of COVID-19 Discovers Exodus Probabilities
Author(s) -
Ramalingam Shanmugam,
Karan P. Singh
Publication year - 2021
Publication title -
journal of multidisciplinary healthcare
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 30
ISSN - 1178-2390
DOI - 10.2147/jmdh.s304419
Subject(s) - zero (linguistics) , covid-19 , perception , survey data collection , pandemic , data science , computer science , psychology , mathematics , medicine , statistics , linguistics , disease , pathology , neuroscience , infectious disease (medical specialty) , philosophy
Challenges to manage, mitigate, or prevent the COVID-19's pandemics are felt by medical, healthcare professionals and governing agencies. Health researchers conduct survey among the citizens to capture their opinion on COVID-19. In such surveys like in Hanafiah and Wan (2020), structural-zero (different from sampling zero) category occurs as they question about perception, knowledge, and communication regarding COVID-19.