https://hou-wastewater-epi.org
Rendered Tutorial Website: https://hou-wastewater-epi-org.github.io/online_trend_estimation/
Contact email: info@hou-wastewater-epi.org
Paper: "Online trend estimation and detection of trend deviations in sub-sewershed time series of SARS-CoV-2 RNA measured in wastewater ."
- Link to paper: https://www.nature.com/articles/s41598-024-56175-2
- To Cite:
- Ensor, K.B., Schedler, J.C., Sun, T. et al. Online trend estimation and detection of trend deviations in sub-sewershed time series of SARS-CoV-2 RNA measured in wastewater. Sci Rep 14, 5575 (2024). https://doi.org/10.1038/s41598-024-56175-2
PI of Analytics Group: Dr. Katherine B. Ensor, Department of Statistics, Rice University
Lead Analyst for HHD: Rebecca Schneider, Houston Health Department
Lead Analyst for Rice: Julia Schedler, Department of Statistics, Rice University
Tutorials detailing Algorithms 1 and 2 in "Online trend estimation and detection of trend deviations in sub-sewershed time series of SARS-CoV-2 RNA measured in wastewater ." are provided in a rendered format here:
In addition to the code chunks in Algorithm1.qmd
and Algorithm2.qmd
, the following R files are included to produce the analyses used in the paper:
KFAS_rolling_estimation.r
appliesKFAS_state_space_spline.r
(wrappers forKFAS
package functions)ww_ewma.r
produces the EWMA control charts (a wrapper forqcc
package functions)fplot.r
, contains helper functions for producing nice plots.
Synthetic example data in the file synthetic_ww_time_series.csv
provided in the Data
folder to produce analysis and figures similar to those found in the paper.
Given the small populations associated with some of the lift stations, real data will be made available on a case-by-case basis by contacting the Houston Wastewater Epidemiology group and subsequent approval by Houston Health Department.
Because code and intellectual work have different licensing needs, a separate LICENSE
file is contained in each folder and applies to the files in that folder:
-
Files in the
Code
folder are licensed under the GNU General Public License, Version 3 (GPL-3). -
Files in the
Data
folder are licensed under the Creative Commons NonCommercial ShareAlike (CC by-NC-SA) license.
We are happy to discuss the possibility of an alternate (dual) license for the files in either folder. If you encounter a situation where you are unable to use the work for desired purposes, for example, a license compatibility issue, please reach out to info@hou-wastewater-epi.org.