2026-10-11T21:46:07Z
https://api.figshare.com/v2/oai
oai:figshare.com:article/33813211
2026-09-15T17:49:42Z
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<p>Annotated R code demonstrating the RSV and hMPV imputation workflows on simulated data.</p>
Sudhir Venkatesan (7512650)
Lisa White (483373)
Hyewon Nina Koo (24949663)
John Dickerson (18490561)
Weiming Hu (257720)
Jennifer Kuntz (24949666)
Mark Schmidt (3172602)
Sylvia Taylor (62663)
Carla Talarico (13580462)
Medicine
Biotechnology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Cancer
Infectious Diseases
Plant Biology
Virology
larger cumulative errors
kaiser permanente northwest
2023 – 24
2022 – 23
estimating cumulative incidence
nrevss test positivity
season time series
weeks removed ).
retrospectively correct partial
overlap peak activity
evaluated using rmse
hmpv test positivity
contiguous missing weeks
season missingness scenarios
peak weeks
peak overlap
season weeks
underestimated incidence
normalized rmse
applicable ).
contiguous early
season missingness
season gaps
world data
weekly accuracy
transparent method
testing volume
signed difference
seasonal circulation
prediction intervals
pharmetrics plus
per 100
observed totals
missingness level
major contributors
logit model
kpnw due
kpnw ],
human metapneumovirus
hmpv findings
hmpv ),
hinder inter
fit within
data sources
data collection
based approach
<p>All author-generated code used for data preprocessing, model fitting, prediction/imputation, and figure/table generation have been provided. Because the underlying real-world datasets are proprietary, the repository also includes a complete simulated-data example that reproduces the full analysis workflow.</p> <p>(ZIP)</p>
2026-09-15T17:49:23Z
Dataset
Dataset
10.1371/journal.pone.0353681.s015
https://figshare.com/articles/dataset/_p_Annotated_R_code_demonstrating_the_RSV_and_hMPV_imputation_workflows_on_simulated_data_p_/33813211
CC BY 4.0