Open AccessA data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers
Author(s) -
Siddikur Rahman,
Arman Hossain Chowdhury
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0273319
Subject(s) - pandemic , covid-19 , wind speed , autoregressive integrated moving average , incidence (geometry) , transmission (telecommunications) , demography , boosting (machine learning) , meteorology , predictive modelling , statistics , medicine , environmental science , geography , mathematics , computer science , machine learning , time series , disease , infectious disease (medical specialty) , telecommunications , geometry , pathology , sociology