Add links to final published versions

README.md

@@ -1,9 +1,10 @@
 # COVIDcast PNAS Papers: Source Code, Data, Text
 
-Source code for Delphi's PNAS papers on our COVIDcast effort, published in the
-special issue "Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams
-in Tracking the COVID-19 Pandemic". Each directory contains the text, figures,
-and code used to produce each paper:
+Source code for Delphi's papers on our COVIDcast effort, published in the
+*Proceedings of the National Academy of Sciences* special issue "Beyond Cases
+and Deaths: The Benefits of Auxiliary Data Streams in Tracking the COVID-19
+Pandemic" (vol. 118 no. 51, December 2021). Each directory contains the text,
+figures, and code used to produce each paper:
 
 * **forecast:** Text and code for "Can Auxiliary Indicators Improve COVID-19
   Forecasting and Hotspot Prediction?", by Daniel J. McDonald, Jacob Bien, Alden
@@ -26,11 +27,12 @@ and code used to produce each paper:
   Elena Tuzhilina, Ana Karina Van Nortwick, Valérie Ventura, Larry Wasserman,
   Benjamin Weaver, Jeremy C. Weiss, Spencer Whitman, Kristin Williams, Roni
   Rosenfeld, and Ryan J. Tibshirani.
-* **survey:** Text and code for "Continuous Real-Time Measurement of COVID-19
-  Symptoms, Risks, Protective Behaviors, Testing and Vaccination", by Joshua
-  A. Salomon, Alex Reinhart, Alyssa Bilinski, Eu Jing Chua, Wichada La
-  Motte-Kerr, Minttu M. Rönn, Marissa Reitsma, Katherine Ann Morris, Sarah
-  LaRocca, Tamar Farag, Frauke Kreuter, Roni Rosenfeld, and Ryan J. Tibshirani. 
+* **survey:** Text and code for "The US COVID-19 Trends and Impact Survey:
+  Continuous real-time measurement of COVID-19 symptoms, risks, protective
+  behaviors, testing, and vaccination", by Joshua A. Salomon, Alex Reinhart,
+  Alyssa Bilinski, Eu Jing Chua, Wichada La Motte-Kerr, Minttu M. Rönn, Marissa
+  Reitsma, Katherine Ann Morris, Sarah LaRocca, Tamar Farag, Frauke Kreuter,
+  Roni Rosenfeld, and Ryan J. Tibshirani.
 * **perspective:** Text for "Epidemic Tracking and Forecasting: Lessons Learned
   from a Tumultuous Year", by Roni Rosenfeld and Ryan J. Tibshirani.
 

forecast/README.md

@@ -1,7 +1,8 @@
 # Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?
 
 This directory contains code, data, and text for "Can Auxiliary Indicators
-Improve COVID-19 Forecasting and Hotspot Prediction?". 
+Improve COVID-19 Forecasting and Hotspot Prediction?". The final published
+version is available at <https://doi.org/10.1073/pnas.2111453118>.
 
 The LaTeX source of the paper is presented in `paper/` in PNAS's standard LaTeX 
 template. This can be rendered using a standard LaTeX distribution. The main
@@ -11,7 +12,7 @@ code in `paper/supplement.Rmd`, a standard Rmarkdown file.
 The entire analysis can be rerun using the workflow in the `code/` directory and
 described more fully in that `code/README.md`. However, this is likely to
 require around a week of CPU time. For this reason, we have also made
-intermediate data available in Dataverse at https://doi.org/10.5683/SP3/UW4VTC
-. Downloading these `.RDS` files to `forecast/data/` will allow the Supplemental
-Information and the paper to be recompiled with minimal additional effort. 
-
+intermediate data available in Dataverse at
+<https://doi.org/10.5683/SP3/UW4VTC>. Downloading these `.RDS` files to
+`forecast/data/` will allow the Supplemental Information and the paper to be
+recompiled with minimal additional effort.

indicators/README.md

@@ -1,7 +1,8 @@
 # An Open Repository of Real-Time COVID-19 Indicators
 
 This directory contains code, data, and text for "An Open Repository of
-Real-Time COVID-19 Indicators".
+Real-Time COVID-19 Indicators". The final published version is available at
+<https://doi.org/10.1073/pnas.2111452118>.
 
 All figures in the paper are generated using `code/indicator-paper-figures.Rmd`,
 a standard R Markdown file. It contains instructions on the packages required to

survey/README.md

@@ -1,7 +1,9 @@
-# Continuous Real-Time Measurement of COVID-19 Symptoms, Risks, Protective Behaviors, Testing and Vaccination
+# The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination
 
-This directory contains code and text for "Continuous Real-Time Measurement of
-COVID-19 Symptoms, Risks, Protective Behaviors, Testing and Vaccination".
+This directory contains code and text for "The US COVID-19 Trends and Impact
+Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective
+behaviors, testing, and vaccination". The final published version is available
+at <https://doi.org/10.1073/pnas.2111454118>.
 
 Tables and figures for the paper are generated by two files:
 `code/paper-tables.Rmd`, which generates most tables and figures, and
@@ -14,3 +16,6 @@ Information on how to request access is [available on our documentation
 website](https://cmu-delphi.github.io/delphi-epidata/symptom-survey/data-access.html).
 The code also uses auxiliary data, such as Census information, which is included
 here; comments in the code indicate the source of each data file used.
+
+A preprint PDF is included in `paper/` along with the rendered versions of all
+figures.