A Bayesian framework for modeling COVID‐19 case numbers through longitudinal monitoring of SARS‐CoV‐2 RNA in wastewater is a research paper published in Statistics in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 12 times.
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Canadian Institutes of Health Research
Grant: 448242
National Institute of General Medical Sciences
Grant: 1R35GM150537‐01
Natural Sciences and Engineering Research Council of Canada
Grant: RG/PIN06466‐2018
Natural Sciences and Engineering Research Council of Canada
Grant: RGPIN‐2019‐04810
NIGMS NIH HHS
Grant: R35 GM150537
NIGMS NIH HHS
Grant: 1R35GM150537-01
Interpretable Bayesian Non-linear statistical learning models for multi-omics data integration
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
Alberta Health
University of Minnesota
Illinois State University
FWCI
3.67
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals