diff --git a/.prettierignore b/.prettierignore
index d20268ad4..74222a5af 100644
--- a/.prettierignore
+++ b/.prettierignore
@@ -29,3 +29,4 @@
*.md
*.jpeg
*.ico
+/themes/delphi/layouts/partials/webp-image.html
\ No newline at end of file
diff --git a/content/_index.md b/content/_index.md
index 5f36b8ff8..14524bdfc 100644
--- a/content/_index.md
+++ b/content/_index.md
@@ -8,15 +8,15 @@ carousel:
title: Real-time Indicators of COVID-19 Activity
ref: covidcast
alt: Explore COVIDCast
- image: covidcast_withfill.png
+ image: covidcast_withfill.jpg
- pre: Our Blog Post
title: New and improved COVID Symptom Survey Tracks Testing and Mask-Wearing
ref: 2020-10-06-survey-wave-4
alt: Learn more
- image: landing-pg_hero-img-2_New and Improved COVID Symptom Survey Tracks Testing and Mask-Wearing.png
+ image: landing-pg_hero-img-2_New and Improved COVID Symptom Survey Tracks Testing and Mask-Wearing.jpg
- pre: Our Research and White Papers
title: "Pancasting: forecasting epidemics from provisional data"
link: https://delphi.cmu.edu/~lcbrooks/brooks2020pancasting.pdf
alt: View Paper
- image: landing-pg_hero-img-2_Pancasting_ forecasting epidemics from provisional data.png
+ image: landing-pg_hero-img-2_Pancasting_ forecasting epidemics from provisional data.jpg
---
diff --git a/content/about/publications/images/evaluation.jpg b/content/about/publications/images/evaluation.jpg
new file mode 100644
index 000000000..36ee42d10
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deleted file mode 100644
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diff --git a/content/about/publications/images/flexible_modeling.jpg b/content/about/publications/images/flexible_modeling.jpg
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diff --git a/content/about/publications/images/human.jpg b/content/about/publications/images/human.jpg
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diff --git a/content/about/publications/images/kalman_filter.jpg b/content/about/publications/images/kalman_filter.jpg
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diff --git a/content/about/publications/images/modeling.jpg b/content/about/publications/images/modeling.jpg
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diff --git a/content/about/publications/images/pancasting.jpg b/content/about/publications/images/pancasting.jpg
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index 000000000..5b4a4b968
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diff --git a/content/about/publications/images/pancasting.png b/content/about/publications/images/pancasting.png
deleted file mode 100644
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diff --git a/content/about/publications/images/predicting.jpg b/content/about/publications/images/predicting.jpg
new file mode 100644
index 000000000..ac3a09f4c
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diff --git a/content/about/publications/images/predicting.png b/content/about/publications/images/predicting.png
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diff --git a/content/about/publications/index.md b/content/about/publications/index.md
index 2ba78888b..d3a133b5a 100644
--- a/content/about/publications/index.md
+++ b/content/about/publications/index.md
@@ -2,49 +2,49 @@
title: Research and White Papers
papers:
- title: "Pancasting: forecasting epidemics from provisional data"
- image: pancasting.png
+ image: pancasting.jpg
authors: Brooks
link: https://delphi.cmu.edu/~lcbrooks/brooks2020pancasting.pdf
journal: PhD thesis
year: 2020
- title: "Kalman filter, sensor fusion, and constrained regression: equivalences and insights"
- image: kalman_filter.png
+ image: kalman_filter.jpg
authors: Jahja, Farrow, Rosenfeld, Tibshirani
link: https://papers.nips.cc/paper/9475-kalman-filter-sensor-fusion-and-constrained-regression-equivalences-and-insights
journal: Neural Information Processing Systems
year: 2019
- title: "Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions"
- image: nonmechanistic_forecasts.png
+ image: nonmechanistic_forecasts.jpg
authors: Brooks, Farrow, Hyun, Tibshirani, Rosenfeld
link: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006134
journal: PLOS Computational Biology
year: 2018
- title: "A human judgment approach to epidemiological forecasting"
- image: human.png
+ image: human.jpg
authors: Farrow, Brooks, Hyun, Tibshirani, Burke, Rosenfeld
link: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005248
journal: PLOS Computational Biology
year: 2017
- title: "Modeling the past, present, and future of influenza"
- image: modeling.png
+ image: modeling.jpg
authors: Farrow
link: https://delphi.cmu.edu/~dfarrow/thesis.pdf
journal: PhD thesis
year: 2016
- title: "Flexible modeling of epidemics with an empirical Bayes framework"
- image: flexible_modeling.png
+ image: flexible_modeling.jpg
authors: Brooks, Farrow, Hyun, Tibshirani, Rosenfeld
link: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004382
journal: PLOS Computational Biology
year: 2015
- title: "Predicting the predictable"
- image: predicting.png
+ image: predicting.jpg
authors: Rosenfeld
link: https://delphi.cmu.edu/files/PredictingThePredictable_13-04-03.pdf
journal: presentation
year: 2013
- title: "A proposal for standardized evaluation of epidemiological models"
- image: evaluation.png
+ image: evaluation.jpg
authors: Rosenfeld, Grefenstette, Burke
link: http://www.cs.cmu.edu/~roni/standardized-evaluation-of-epi-models-rev-09nov2012.pdf
journal: White paper
diff --git a/content/blog/2015-07-23-template-post.Rmd b/content/blog/2015-07-23-template-post.Rmd
index ba4887db3..c44aa5852 100644
--- a/content/blog/2015-07-23-template-post.Rmd
+++ b/content/blog/2015-07-23-template-post.Rmd
@@ -9,8 +9,8 @@ tags:
draft: true # remove this line in new blog posts
authors: # list of author keys, see /data/authors.yaml
- frida
-heroImage: /blog/images/blog-lg-img_hello-world.png
-heroImageThumb: /blog/images/blog-thumb-img_hello-world.png
+heroImage: /blog/images/blog-lg-img_hello-world.jpg
+heroImageThumb: /blog/images/blog-thumb-img_hello-world.jpg
summary: |
Blog summary, the first 150 characters are used for the blog list
acknowledgements: |
diff --git a/content/blog/2015-07-23-template-post.html b/content/blog/2015-07-23-template-post.html
index 03936f4cc..19cc04435 100644
--- a/content/blog/2015-07-23-template-post.html
+++ b/content/blog/2015-07-23-template-post.html
@@ -9,8 +9,8 @@
draft: true # remove this line in new blog posts
authors: # list of author keys, see /data/authors.yaml
- frida
-heroImage: /blog/images/blog-lg-img_hello-world.png
-heroImageThumb: /blog/images/blog-thumb-img_hello-world.png
+heroImage: /blog/images/blog-lg-img_hello-world.jpg
+heroImageThumb: /blog/images/blog-thumb-img_hello-world.jpg
summary: |
Blog summary, the first 150 characters are used for the blog list
acknowledgements: |
@@ -49,21 +49,21 @@
see http://rmarkdown.rstudio.com.
You can embed an R code chunk like this:
summary(cars)
-## speed dist
-## Min. : 4.0 Min. : 2.00
-## 1st Qu.:12.0 1st Qu.: 26.00
-## Median :15.0 Median : 36.00
-## Mean :15.4 Mean : 42.98
-## 3rd Qu.:19.0 3rd Qu.: 56.00
+## speed dist
+## Min. : 4.0 Min. : 2.00
+## 1st Qu.:12.0 1st Qu.: 26.00
+## Median :15.0 Median : 36.00
+## Mean :15.4 Mean : 42.98
+## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
fit <- lm(dist ~ speed, data = cars)
fit
-##
+##
## Call:
## lm(formula = dist ~ speed, data = cars)
-##
+##
## Coefficients:
-## (Intercept) speed
+## (Intercept) speed
## -17.579 3.932
Including Plots
diff --git a/content/blog/2020-08-10-hello-world.Rmd b/content/blog/2020-08-10-hello-world.Rmd
index 31d12e6b7..572115a12 100644
--- a/content/blog/2020-08-10-hello-world.Rmd
+++ b/content/blog/2020-08-10-hello-world.Rmd
@@ -7,8 +7,8 @@ tags:
authors:
- roni
- ryan
-heroImage: /blog/images/blog-lg-img_hello-world.png
-heroImageThumb: /blog/images/blog-thumb-img_hello-world.png
+heroImage: /blog/images/blog-lg-img_hello-world.jpg
+heroImageThumb: /blog/images/blog-thumb-img_hello-world.jpg
summary: |
Hello from the Delphi research group at Carnegie Mellon University!
We're a group of faculty, students, and staff, based primarily out of CMU
diff --git a/content/blog/2020-08-10-hello-world.html b/content/blog/2020-08-10-hello-world.html
index bca6020a8..f683c0b12 100644
--- a/content/blog/2020-08-10-hello-world.html
+++ b/content/blog/2020-08-10-hello-world.html
@@ -7,18 +7,18 @@
authors:
- roni
- ryan
-heroImage: /blog/images/blog-lg-img_hello-world.png
-heroImageThumb: /blog/images/blog-thumb-img_hello-world.png
+heroImage: /blog/images/blog-lg-img_hello-world.jpg
+heroImageThumb: /blog/images/blog-thumb-img_hello-world.jpg
summary: |
Hello from the Delphi research group at Carnegie Mellon University!
We're a group of faculty, students, and staff, based primarily out of CMU
together with strong collaborators from other universities and industry.
- Our group was founded in 2012 to advance the theory and practice of epidemic
- forecasting. Since March 2020, we have refocused efforts towards helping combat
+ Our group was founded in 2012 to advance the theory and practice of epidemic
+ forecasting. Since March 2020, we have refocused efforts towards helping combat
the COVID-19 pandemic, by supporting informed decision-making at federal, state,
and local levels of government and in the healthcare sector. Until now, we've
- been pretty “heads down” with our work, and slow to communicate what we've been
- up to. But at last ... Delphi finally has a blog! This first post serves as an
+ been pretty “heads down” with our work, and slow to communicate what we've been
+ up to. But at last ... Delphi finally has a blog! This first post serves as an
introduction of sorts. Future posts will dive deeper into our various projects.
output:
blogdown::html_page:
diff --git a/content/blog/2020-08-26-fb-survey.Rmd b/content/blog/2020-08-26-fb-survey.Rmd
index 01082460b..cf7ca4e82 100644
--- a/content/blog/2020-08-26-fb-survey.Rmd
+++ b/content/blog/2020-08-26-fb-survey.Rmd
@@ -9,8 +9,8 @@ tags:
authors:
- alex
- ryan
-heroImage: /blog/images/blog-lg-img_facebook-survey-post.png
-heroImageThumb: /blog/images/blog-thumb-img_facebook-survey-post.png
+heroImage: /blog/images/blog-lg-img_facebook-survey-post.jpg
+heroImageThumb: /blog/images/blog-thumb-img_facebook-survey-post.jpg
summary: |
Since April 2020, in collaboration with Facebook,
partner universities, and public health officials,
diff --git a/content/blog/2020-08-26-fb-survey.html b/content/blog/2020-08-26-fb-survey.html
index 3138a7e7a..cd2bdc214 100644
--- a/content/blog/2020-08-26-fb-survey.html
+++ b/content/blog/2020-08-26-fb-survey.html
@@ -9,8 +9,8 @@
authors:
- alex
- ryan
-heroImage: /blog/images/blog-lg-img_facebook-survey-post.png
-heroImageThumb: /blog/images/blog-thumb-img_facebook-survey-post.png
+heroImage: /blog/images/blog-lg-img_facebook-survey-post.jpg
+heroImageThumb: /blog/images/blog-thumb-img_facebook-survey-post.jpg
summary: |
Since April 2020, in collaboration with Facebook,
partner universities, and public health officials,
@@ -36,7 +36,7 @@
survey data. The COVIDcast API, which serves these estimates and is updated
daily, is a much larger effort run by the Delphi group, and our entire
engineering team is owed a lot of credit here. Ryan came up with the
- idea of running the surveys, and worked with Facebook to make this a reality.
+ idea of running the surveys, and worked with Facebook to make this a reality.
On the Facebook side, Curtiss Cobb and Jonathan McKay played big roles. The
University of Maryland team, including Adrianne Bradford and Samantha Chiu and
led by Frauke Kreuter, made many contributions to the survey design.
diff --git a/content/blog/2020-08-28-api.Rmd b/content/blog/2020-08-28-api.Rmd
index 4d8bc32f0..926f08767 100644
--- a/content/blog/2020-08-28-api.Rmd
+++ b/content/blog/2020-08-28-api.Rmd
@@ -10,8 +10,8 @@ tags:
authors:
- kathryn
- alex
-heroImage: /blog/images/blog-lg-img_Accessing Open COVID-19.png
-heroImageThumb: /blog/images/blog-thumb-img_Accessing Open COVID-19.png
+heroImage: /blog/images/blog-lg-img_Accessing Open COVID-19.jpg
+heroImageThumb: /blog/images/blog-thumb-img_Accessing Open COVID-19.jpg
summary: |
One of our primary initiatives at the Delphi COVIDcast project
has been to curate a diverse set of COVID-related data streams,
diff --git a/content/blog/2020-08-28-api.html b/content/blog/2020-08-28-api.html
index 8f3c6d8a4..8fa1a3ee2 100644
--- a/content/blog/2020-08-28-api.html
+++ b/content/blog/2020-08-28-api.html
@@ -10,8 +10,8 @@
authors:
- kathryn
- alex
-heroImage: /blog/images/blog-lg-img_Accessing Open COVID-19.png
-heroImageThumb: /blog/images/blog-thumb-img_Accessing Open COVID-19.png
+heroImage: /blog/images/blog-lg-img_Accessing Open COVID-19.jpg
+heroImageThumb: /blog/images/blog-thumb-img_Accessing Open COVID-19.jpg
summary: |
One of our primary initiatives at the Delphi COVIDcast project
has been to curate a diverse set of COVID-related data streams,
diff --git a/content/blog/2020-09-18-google-survey.Rmd b/content/blog/2020-09-18-google-survey.Rmd
index 86b22e618..ea565b0ca 100644
--- a/content/blog/2020-09-18-google-survey.Rmd
+++ b/content/blog/2020-09-18-google-survey.Rmd
@@ -8,8 +8,8 @@ tags:
- R
authors:
- ryan
-heroImage: /blog/images/blog-lg-img_google-survey-post.png
-heroImageThumb: /blog/images/blog-thumb-img_google-survey-post.png
+heroImage: /blog/images/blog-lg-img_google-survey-post.jpg
+heroImageThumb: /blog/images/blog-thumb-img_google-survey-post.jpg
summary: |
Since April 2020, in addition to our massive daily survey advertised on
Facebook, we've been running (even-more-massive) surveys through Google to
diff --git a/content/blog/2020-09-18-google-survey.html b/content/blog/2020-09-18-google-survey.html
index 83520de30..a58fca1bc 100644
--- a/content/blog/2020-09-18-google-survey.html
+++ b/content/blog/2020-09-18-google-survey.html
@@ -8,30 +8,30 @@
- R
authors:
- ryan
-heroImage: /blog/images/blog-lg-img_google-survey-post.png
-heroImageThumb: /blog/images/blog-thumb-img_google-survey-post.png
+heroImage: /blog/images/blog-lg-img_google-survey-post.jpg
+heroImageThumb: /blog/images/blog-thumb-img_google-survey-post.jpg
summary: |
- Since April 2020, in addition to our massive daily survey advertised on
- Facebook, we've been running (even-more-massive) surveys through Google to
- track the spread of COVID-19 in the United States.
- At its peak, our Google survey was taken by over 1.2 million people in a single
- day, and over its first month in operation, averaged over 600,000 daily
- respondents. In mid-May, we paused daily dissemination of this survey in order
+ Since April 2020, in addition to our massive daily survey advertised on
+ Facebook, we've been running (even-more-massive) surveys through Google to
+ track the spread of COVID-19 in the United States.
+ At its peak, our Google survey was taken by over 1.2 million people in a single
+ day, and over its first month in operation, averaged over 600,000 daily
+ respondents. In mid-May, we paused daily dissemination of this survey in order
to focus on our (longer, more complex) survey through Facebook,
- but we plan to bring back the Google survey this fall.
- This short post covers some key differences between our Google and Facebook
+ but we plan to bring back the Google survey this fall.
+ This short post covers some key differences between our Google and Facebook
surveys, explains the backstory behind the "CLI-in-community" question
- as it arose through our collaboration with Google,
+ as it arose through our collaboration with Google,
and shares some of our thinking about next steps for the Google survey.
acknowledgements: |
- Ryan Tibshirani wrote the initial code for producing
- estimates from the aggregated survey data. Sangwon Hyun, Natalia Lombardi de
+ Ryan Tibshirani wrote the initial code for producing
+ estimates from the aggregated survey data. Sangwon Hyun, Natalia Lombardi de
Oliveira, and Lester Mackey greatly extended and improved this codebase, and
- they developed, along with Ryan, the underlying statistical methodology. Ryan
- came up with the idea of running the surveys, and worked with Google to make
- this a reality. On the Google side, Brett Slatkin and Hal Varian have been key
- collaborators; Brett wrote the code to get daily survey data over to Delphi's
- estimation pipeline; and both contributed numerous important ideas at various
+ they developed, along with Ryan, the underlying statistical methodology. Ryan
+ came up with the idea of running the surveys, and worked with Google to make
+ this a reality. On the Google side, Brett Slatkin and Hal Varian have been key
+ collaborators; Brett wrote the code to get daily survey data over to Delphi's
+ estimation pipeline; and both contributed numerous important ideas at various
stages of the project.
output:
html_document:
diff --git a/content/blog/2020-09-21-forecast-demo.Rmd b/content/blog/2020-09-21-forecast-demo.Rmd
index e360aa9e3..d10b13a81 100644
--- a/content/blog/2020-09-21-forecast-demo.Rmd
+++ b/content/blog/2020-09-21-forecast-demo.Rmd
@@ -9,8 +9,8 @@ tags:
- R
authors:
- ryan
-heroImage: /blog/images/blog-Lg-img_can symptoms surveys improve covid-19.png
-heroImageThumb: /blog/images/blog-thumbnail_can symptoms surveys improve covid-19.png
+heroImage: /blog/images/blog-Lg-img_can symptoms surveys improve covid-19.jpg
+heroImageThumb: /blog/images/blog-thumbnail_can symptoms surveys improve covid-19.jpg
summary: |
Building on our previous two posts (on our COVID-19 symptom surveys through
Facebook and Google)
diff --git a/content/blog/2020-09-21-forecast-demo.html b/content/blog/2020-09-21-forecast-demo.html
index defcebb63..632638cf3 100644
--- a/content/blog/2020-09-21-forecast-demo.html
+++ b/content/blog/2020-09-21-forecast-demo.html
@@ -9,19 +9,19 @@
- R
authors:
- ryan
-heroImage: /blog/images/blog-Lg-img_can symptoms surveys improve covid-19.png
-heroImageThumb: /blog/images/blog-thumbnail_can symptoms surveys improve covid-19.png
+heroImage: /blog/images/blog-Lg-img_can symptoms surveys improve covid-19.jpg
+heroImageThumb: /blog/images/blog-thumbnail_can symptoms surveys improve covid-19.jpg
summary: |
Building on our previous two posts (on our COVID-19 symptom surveys through
Facebook and Google)
- this post offers a deeper dive into empirical analysis, examining whether the
- % CLI-in-community indicators from our two surveys can be used to improve
+ this post offers a deeper dive into empirical analysis, examining whether the
+ % CLI-in-community indicators from our two surveys can be used to improve
the accuracy of short-term forecasts of county-level COVID-19 case rates.
acknowledgements: |
Delphi's forecasting effort involves many people from our
- modeling team, from forecaster design, to implementation, to evaluation. The
+ modeling team, from forecaster design, to implementation, to evaluation. The
broader insights on forecasting shared in this post certainly cannot be
- attributable to Ryan's work alone, and are a reflection of the work carried out
+ attributable to Ryan's work alone, and are a reflection of the work carried out
by all these team members.
related:
- 2020-09-18-google-survey
@@ -217,17 +217,17 @@
Forecasting Code
as.Date(max(time_value)),
by = "day")) %>% ungroup()
df = full_join(df, df_all, by = c("geo_value", "time_value"))
-
+
# Group by geo value, sort rows by increasing time
- df = df %>% group_by(geo_value) %>% arrange(time_value)
-
+ df = df %>% group_by(geo_value) %>% arrange(time_value)
+
# Load over shifts, and add lag value or lead value
for (shift in shifts) {
fun = ifelse(shift < 0, lag, lead)
varname = sprintf("value%+d", shift)
df = mutate(df, !!varname := fun(value, n = abs(shift)))
}
-
+
# Ungroup and return
return(ungroup(df))
}
@@ -261,40 +261,40 @@
Forecasting Code
case_num = 200
geo_values = covidcast_signal("jhu-csse", "confirmed_cumulative_num",
"2020-05-14", "2020-05-14") %>%
- filter(value >= case_num) %>% pull(geo_value)
+ filter(value >= case_num) %>% pull(geo_value)
# Fetch county-level Google and Facebook % CLI-in-community signals, and JHU
# confirmed case incidence proportion
start_day = "2020-04-11"
end_day = "2020-09-01"
g = covidcast_signal("google-survey", "smoothed_cli") %>%
- filter(geo_value %in% geo_values) %>%
- select(geo_value, time_value, value)
-f = covidcast_signal("fb-survey", "smoothed_hh_cmnty_cli",
+ filter(geo_value %in% geo_values) %>%
+ select(geo_value, time_value, value)
+f = covidcast_signal("fb-survey", "smoothed_hh_cmnty_cli",
start_day, end_day) %>%
- filter(geo_value %in% geo_values) %>%
- select(geo_value, time_value, value)
+ filter(geo_value %in% geo_values) %>%
+ select(geo_value, time_value, value)
c = covidcast_signal("jhu-csse", "confirmed_7dav_incidence_prop",
start_day, end_day) %>%
- filter(geo_value %in% geo_values) %>%
+ filter(geo_value %in% geo_values) %>%
select(geo_value, time_value, value)
-# Find "complete" counties, present in all three data signals at all times
+# Find "complete" counties, present in all three data signals at all times
geo_values_complete = intersect(intersect(g$geo_value, f$geo_value),
c$geo_value)
-# Filter to complete counties, transform the signals, append 1-2 week lags to
+# Filter to complete counties, transform the signals, append 1-2 week lags to
# all three, and also 1-2 week leads to case rates
-lags = 1:2 * -7
+lags = 1:2 * -7
leads = 1:2 * 7
-g = g %>% filter(geo_value %in% geo_values_complete) %>%
- mutate(value = trans(value * rescale_g)) %>%
- append_shifts(shifts = lags)
-f = f %>% filter(geo_value %in% geo_values_complete) %>%
- mutate(value = trans(value * rescale_f)) %>%
- append_shifts(shifts = lags)
+g = g %>% filter(geo_value %in% geo_values_complete) %>%
+ mutate(value = trans(value * rescale_g)) %>%
+ append_shifts(shifts = lags)
+f = f %>% filter(geo_value %in% geo_values_complete) %>%
+ mutate(value = trans(value * rescale_f)) %>%
+ append_shifts(shifts = lags)
c = c %>% filter(geo_value %in% geo_values_complete) %>%
- mutate(value = trans(value * rescale_c)) %>%
+ mutate(value = trans(value * rescale_c)) %>%
append_shifts(shifts = c(lags, leads))
# Rename columns
@@ -310,47 +310,47 @@
Forecasting Code
# Use quantgen for LAD regression (this package supports quantile regression and
# more; you can find it on GitHub here: https://github.com/ryantibs/quantgen)
-library(quantgen)
+library(quantgen)
res_list = vector("list", length = length(leads))
# Loop over lead, forecast dates, build models and record errors (warning: this
# computation takes a while)
-for (i in 1:length(leads)) {
+for (i in 1:length(leads)) {
lead = leads[i]; if (verbose) cat("***", lead, "***\n")
-
+
# Create a data frame to store our forecast results. Code below populates its
- # rows in a way that breaks from typical dplyr operations, done for efficiency
- res_list[[i]] = z %>%
- filter(between(time_value, as.Date(start_day) - min(lags) + lead,
+ # rows in a way that breaks from typical dplyr operations, done for efficiency
+ res_list[[i]] = z %>%
+ filter(between(time_value, as.Date(start_day) - min(lags) + lead,
as.Date(end_day) - lead)) %>%
select(geo_value, time_value) %>%
- mutate(err0 = as.double(NA), err1 = as.double(NA), err2 = as.double(NA),
- err3 = as.double(NA), err4 = as.double(NA), lead = lead)
+ mutate(err0 = as.double(NA), err1 = as.double(NA), err2 = as.double(NA),
+ err3 = as.double(NA), err4 = as.double(NA), lead = lead)
valid_dates = unique(res_list[[i]]$time_value)
-
+
for (k in 1:length(valid_dates)) {
date = valid_dates[k]; if (verbose) cat(format(date), "... ")
-
+
# Filter down to training set and test set
z_tr = z %>% filter(between(time_value, date - lead - n, date - lead))
z_te = z %>% filter(time_value == date)
inds = which(res_list[[i]]$time_value == date)
-
+
# Create training and test responses
y_tr = z_tr %>% pull(paste0("case+", lead))
y_te = z_te %>% pull(paste0("case+", lead))
-
+
# Strawman model
if (verbose) cat("0")
y_hat = z_te %>% pull(case)
res_list[[i]][inds,]$err0 = abs(inv_trans(y_hat) - inv_trans(y_te))
-
+
# Cases only model
if (verbose) cat("1")
x_tr_case = z_tr %>% select(starts_with("case") & !contains("+"))
x_te_case = z_te %>% select(starts_with("case") & !contains("+"))
- x_tr = x_tr_case; x_te = x_te_case # For symmetry wrt what follows
+ x_tr = x_tr_case; x_te = x_te_case # For symmetry wrt what follows
ok = complete.cases(x_tr, y_tr)
if (sum(ok) > 0) {
obj = quantile_lasso(as.matrix(x_tr[ok,]), y_tr[ok], tau = 0.5,
@@ -358,7 +358,7 @@
y_hat = as.numeric(predict(obj, newx = as.matrix(x_te)))
res_list[[i]][inds,]$err3 = abs(inv_trans(y_hat) - inv_trans(y_te))
}
-
+
# Cases, Facebook, and Google model
if (verbose) cat("4\n")
x_tr = cbind(x_tr_case, x_tr_fb, x_tr_goog)
@@ -401,7 +401,7 @@
Forecasting Code
}
}
-# Bind results over different leads into one big data frame, and save
+# Bind results over different leads into one big data frame, and save
res = do.call(rbind, res_list)
save(list = ls(), file = "demo.rda")
diff --git a/content/blog/2020-10-06-survey-wave-4.Rmd b/content/blog/2020-10-06-survey-wave-4.Rmd
index 4878617ec..ad8ea7d5f 100644
--- a/content/blog/2020-10-06-survey-wave-4.Rmd
+++ b/content/blog/2020-10-06-survey-wave-4.Rmd
@@ -12,8 +12,8 @@ summary: |
Today we release new public datasets and share maps revealing access to COVID testing, test results, and public use of masks.
authors:
- alex
-heroImage: /blog/images/blog-lg-img_New and Improved COVID.png
-heroImageThumb: /blog/images/blog-thumb-img_New and Improved COVID.png
+heroImage: /blog/images/blog-lg-img_New and Improved COVID.jpg
+heroImageThumb: /blog/images/blog-thumb-img_New and Improved COVID.jpg
acknowledgements: |
Many items in Wave 4 of our survey are based on work by
the team at the Joint Program in Survey Methodology at the University of
diff --git a/content/blog/2020-10-06-survey-wave-4.html b/content/blog/2020-10-06-survey-wave-4.html
index 9dd48f166..bea390eb1 100644
--- a/content/blog/2020-10-06-survey-wave-4.html
+++ b/content/blog/2020-10-06-survey-wave-4.html
@@ -7,13 +7,13 @@
- COVIDcast
- R
summary: |
- Beginning on September 8, 2020, we deployed a new version of our symptom survey.
- Facebook helps us recruit tens of thousands of respondents daily, and the new survey gives us unprecedented insights into the effects of COVID-19 across the United States.
+ Beginning on September 8, 2020, we deployed a new version of our symptom survey.
+ Facebook helps us recruit tens of thousands of respondents daily, and the new survey gives us unprecedented insights into the effects of COVID-19 across the United States.
Today we release new public datasets and share maps revealing access to COVID testing, test results, and public use of masks.
authors:
- alex
-heroImage: /blog/images/blog-lg-img_New and Improved COVID.png
-heroImageThumb: /blog/images/blog-thumb-img_New and Improved COVID.png
+heroImage: /blog/images/blog-lg-img_New and Improved COVID.jpg
+heroImageThumb: /blog/images/blog-thumb-img_New and Improved COVID.jpg
acknowledgements: |
Many items in Wave 4 of our survey are based on work by
the team at the Joint Program in Survey Methodology at the University of
diff --git a/content/blog/2020-10-14-dv-signal.Rmd b/content/blog/2020-10-14-dv-signal.Rmd
index 0abe6dd81..f5b4119ba 100644
--- a/content/blog/2020-10-14-dv-signal.Rmd
+++ b/content/blog/2020-10-14-dv-signal.Rmd
@@ -9,8 +9,8 @@ tags:
authors:
- aaron
- roni
-heroImage: /blog/images/blog-img_A Syndromic COVID-19.png
-heroImageThumb: /blog/images/blog-thumb-img_A Syndromic COVID-19.png
+heroImage: /blog/images/blog-img_A Syndromic COVID-19.jpg
+heroImageThumb: /blog/images/blog-thumb-img_A Syndromic COVID-19.jpg
related:
- 2020-09-18-google-survey
- 2020-08-26-fb-survey
diff --git a/content/blog/2020-10-14-dv-signal.html b/content/blog/2020-10-14-dv-signal.html
index 0eec260d0..deaebcd25 100644
--- a/content/blog/2020-10-14-dv-signal.html
+++ b/content/blog/2020-10-14-dv-signal.html
@@ -9,16 +9,16 @@
authors:
- aaron
- roni
-heroImage: /blog/images/blog-img_A Syndromic COVID-19.png
-heroImageThumb: /blog/images/blog-thumb-img_A Syndromic COVID-19.png
+heroImage: /blog/images/blog-img_A Syndromic COVID-19.jpg
+heroImageThumb: /blog/images/blog-thumb-img_A Syndromic COVID-19.jpg
related:
- 2020-09-18-google-survey
- 2020-08-26-fb-survey
summary: |
In previous posts, we discussed our massive ongoing symptom surveys that have reached over 12 million people in the U.S. since April 2020, in partnership with Facebook and Google. Another one of our major data initiatives is based on partnerships with healthcare systems, granting us access to various aggregate statistics from hospital records and insurance claims covering 10-15% of the United States population. From these data, we can extract informative indicators that can be early indicators of COVID activity. This post focuses on one indicator in particular, based on outpatient visits, and demonstrates both the challenges and promises associated with medical records data.
acknowledgements: |
- Maria Jahja contributed immensely to every stage of this project, from determining which ICD codes to use to the final implementation of the indicator.
- Aaron Rumack devised the weekday adjustment and analyzed the performance of the DV indicator.
+ Maria Jahja contributed immensely to every stage of this project, from determining which ICD codes to use to the final implementation of the indicator.
+ Aaron Rumack devised the weekday adjustment and analyzed the performance of the DV indicator.
Roni Rosenfeld worked closely with our health systems partners to get access to the data and provided domain knowledge to ensure that the data was useful. Both Roni and Ryan Tibshirani provided helpful suggestions and insights towards the methodology and analysis.
output:
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diff --git a/static/images/red-bubble-map_mission-pg-short.webp b/static/images/red-bubble-map_mission-pg-short.webp
new file mode 100644
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diff --git a/themes/delphi/assets/css/components/_card_grid.scss b/themes/delphi/assets/css/components/_card_grid.scss
index 170fce8bb..5ec421bec 100644
--- a/themes/delphi/assets/css/components/_card_grid.scss
+++ b/themes/delphi/assets/css/components/_card_grid.scss
@@ -30,9 +30,14 @@
margin: 1em 1em 0 8em;
}
+ .card-grid-item > picture {
+ width: 12em;
+ flex-shrink: 0;
+ }
+
.card-grid-item-img {
- width: 14em;
- height: unset;
+ width: 12em;
+ height: 100%;
border-radius: 8px 0 0 8px;
}
diff --git a/themes/delphi/assets/css/pages/_about.scss b/themes/delphi/assets/css/pages/_about.scss
index 44371bbc6..986f90572 100644
--- a/themes/delphi/assets/css/pages/_about.scss
+++ b/themes/delphi/assets/css/pages/_about.scss
@@ -1,7 +1,9 @@
.about-mission {
- background-image: url("../images/red-bubble-map_mission-pg-short.jpg");
- background-size: auto;
height: 200px;
+ display: flex;
+}
+.about-mission-img {
+ flex: 1 1 0;
}
.mission-text {
diff --git a/themes/delphi/assets/css/pages/_landing.scss b/themes/delphi/assets/css/pages/_landing.scss
index a0c060695..d7600dc76 100644
--- a/themes/delphi/assets/css/pages/_landing.scss
+++ b/themes/delphi/assets/css/pages/_landing.scss
@@ -21,6 +21,10 @@ $carousel-height: 500px;
img {
z-index: -1;
+ width: 100%;
+ height: 100%;
+ object-fit: cover;
+ position: absolute;
}
}
@@ -99,6 +103,9 @@ $carousel-height: 500px;
max-width: 100%;
max-height: 100%;
}
+ > img {
+ border-radius: 5px;
+ }
}
.latest-news {
@@ -112,4 +119,16 @@ $carousel-height: 500px;
> img {
filter: grayscale(100%);
}
+ > img:first-of-type {
+ border-top-left-radius: 5px;
+ }
+ > img:nth-child(4) {
+ border-top-right-radius: 5px;
+ }
+ > img:nth-child(5) {
+ border-bottom-left-radius: 5px;
+ }
+ > img:last-of-type {
+ border-bottom-right-radius: 5px;
+ }
}
diff --git a/themes/delphi/layouts/_default/about.html b/themes/delphi/layouts/_default/about.html
index a828d9841..035ad24d0 100644
--- a/themes/delphi/layouts/_default/about.html
+++ b/themes/delphi/layouts/_default/about.html
@@ -1,5 +1,7 @@
{{ define "main" }}
-
+