From 8051e4cb0ed2b1f249a33d3ad04ee5329f0dbc1a Mon Sep 17 00:00:00 2001
From: Tina Townes <tina.c.townes@gmail.com>
Date: Tue, 17 Sep 2024 10:16:27 -0400
Subject: [PATCH 1/4] Edited language regarding weekly deaths

---
 docs/api/covidcast-signals/nchs-mortality.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/api/covidcast-signals/nchs-mortality.md b/docs/api/covidcast-signals/nchs-mortality.md
index 278061c04..94a72ead2 100644
--- a/docs/api/covidcast-signals/nchs-mortality.md
+++ b/docs/api/covidcast-signals/nchs-mortality.md
@@ -30,8 +30,8 @@ as additional death certificates from recent weeks are received and tabulated.
 | `deaths_covid_incidence_prop` | Number of weekly new deaths with confirmed or presumed COVID-19, per 100,000 population <br/> **Earliest date available:** Epiweek 05 2020 |
 | `deaths_allcause_incidence_num` | Number of weekly new deaths from all causes <br/> **Earliest date available:** Epiweek 05 2020 |
 | `deaths_allcause_incidence_prop` | Number of weekly new deaths from all causes, per 100,000 population <br/> **Earliest date available:** Epiweek 05 2020 |
-| `deaths_flu_incidence_num` | Number of weekly new deaths involving Influenza and at least one of (Pneumonia, COVID-19) <br/> **Earliest date available:** Epiweek 05 2020 |
-| `deaths_flu_incidence_prop` | Number of weekly new deaths involving Influenza and at least one of (Pneumonia, COVID-19), per 100,000 population <br/> **Earliest date available:** Epiweek 05 2020 |
+| `deaths_flu_incidence_num` | Number of weekly new deaths involving influenza, including those with COVID-19 or pneumonia also listed as a cause of death <br/> **Earliest date available:** Epiweek 05 2020 |
+| `deaths_flu_incidence_prop` | Number of weekly new deaths involving influenza, including those with COVID-19 or pneumonia also listed as a cause of death, per 100,000 population <br/> **Earliest date available:** Epiweek 05 2020 |
 | `deaths_pneumonia_notflu_incidence_num` | Number of weekly new deaths involving Pneumonia, excluding Influenza deaths <br/> **Earliest date available:** Epiweek 05 2020 |
 | `deaths_pneumonia_notflu_incidence_prop` | Number of weekly new deaths involving Pneumonia, excluding Influenza deaths, per 100,000 population <br/> **Earliest date available:** Epiweek 05 2020 |
 | `deaths_covid_and_pneumonia_notflu_incidence_num`| Number of weekly new deaths involving COVID-19 and Pneumonia, excluding Influenza <br/> **Earliest date available:** Epiweek 05 2020 |

From f15b7225c3c5de53ca0ce0b210cf0ef8b332c814 Mon Sep 17 00:00:00 2001
From: Tina Townes <tina.c.townes@gmail.com>
Date: Mon, 7 Oct 2024 23:25:55 -0400
Subject: [PATCH 2/4] Edits to add descriptve links to other endpoints

---
 docs/api/covidcast-signals/google-survey.md   |  2 +-
 docs/api/covidcast-signals/google-symptoms.md |  2 +-
 docs/api/covidcast-signals/safegraph.md       | 12 ++++++------
 docs/api/flusurv.md                           | 10 +++++-----
 docs/api/gft.md                               |  3 ++-
 docs/api/ght.md                               |  7 +++++--
 docs/api/nidss_dengue.md                      |  2 +-
 docs/api/nidss_flu.md                         |  2 +-
 8 files changed, 22 insertions(+), 18 deletions(-)

diff --git a/docs/api/covidcast-signals/google-survey.md b/docs/api/covidcast-signals/google-survey.md
index c1f4819ab..208bf23d4 100644
--- a/docs/api/covidcast-signals/google-survey.md
+++ b/docs/api/covidcast-signals/google-survey.md
@@ -18,7 +18,7 @@ nav_order: 2
 
 ## Overview
 
-Data source based on Google-run symptom surveys, through publisher websites,
+Data source based on [Google-run symptom surveys](https://9to5google.com/2020/03/23/google-coronavirus-survey/), through publisher websites,
 their Opinions Reward app, and similar applications. Respondents can opt to skip
 the survey and complete a different one if they prefer not to answer. The survey
 is just one question long, and asks "Do you know someone in your community who
diff --git a/docs/api/covidcast-signals/google-symptoms.md b/docs/api/covidcast-signals/google-symptoms.md
index f856920f3..1742ddee4 100644
--- a/docs/api/covidcast-signals/google-symptoms.md
+++ b/docs/api/covidcast-signals/google-symptoms.md
@@ -21,7 +21,7 @@ nav_order: 1
 ## Overview
 
 This data source is based on the [COVID-19 Search Trends symptoms
-dataset](http://goo.gle/covid19symptomdataset). Using
+dataset](https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-search-trends?q=search&referrer=search&project=southern-guild-298314). Using
 this search data, we estimate the volume of searches mapped to symptom sets related
 to COVID-19. The resulting daily dataset for each region shows the average relative frequency of searches for each symptom set. The signals are measured in arbitrary units that are normalized for overall search users in the region and scaled by the maximum value of the normalized popularity within a geographic region across a specific time range. **Values are comparable across signals in the same location but NOT across geographic regions**. For example, within a state, we can compare `s01_smoothed_search` and `s02_smoothed_search`. However, we cannot compare `s01_smoothed_search` between states. Larger numbers represent increased relative popularity of symptom-related searches.
 
diff --git a/docs/api/covidcast-signals/safegraph.md b/docs/api/covidcast-signals/safegraph.md
index 8824c3e3e..142791232 100644
--- a/docs/api/covidcast-signals/safegraph.md
+++ b/docs/api/covidcast-signals/safegraph.md
@@ -31,8 +31,8 @@ surface signals from two such datasets.
 
 **This dataset is no longer updated after April 19th, 2021.**
 
-Data source based on [social distancing
-metrics](https://docs.safegraph.com/docs/social-distancing-metrics).  SafeGraph
+Data source based on [Social Distancing
+Metrics](https://docs.safegraph.com/docs/social-distancing-metrics).  SafeGraph
 provided this data for individual census block groups, using differential
 privacy to protect individual people's data privacy. 
 
@@ -40,8 +40,8 @@ Delphi creates features of the SafeGraph data at the census block group level,
 then aggregates these features to the county and state levels. The aggregated
 data is freely available through the COVIDcast API.
 
-For precise definitions of the quantities below, consult the [SafeGraph social
-distancing metric
+For precise definitions of the quantities below, consult the [SafeGraph Social
+Distancing Metric
 documentation](https://docs.safegraph.com/docs/social-distancing-metrics).
 
 | Signal | Description |
@@ -119,7 +119,7 @@ available from the [US Census Bureau: North American Industry Classification
 System](https://www.census.gov/eos/www/naics/index.html).
 
 The number of POIs coded as bars is much smaller than the number of POIs coded as restaurants.
-SafeGraph's Weekly Patterns data consistently lacks data on bar visits for Alaska, Delaware, Maine, North Dakota, New Hampshire, South Dakota, Vermont, West Virginia, and Wyoming.
+SafeGraph's [Weekly Patterns](https://docs.safegraph.com/docs/weekly-patterns) data consistently lacks data on bar visits for Alaska, Delaware, Maine, North Dakota, New Hampshire, South Dakota, Vermont, West Virginia, and Wyoming.
 For certain dates, bar visits data is also missing for District of Columbia, Idaho and Washington. Restaurant visits data is available for all of the states, as well as the District of Columbia and Puerto Rico.
 
 ### Lag
@@ -131,7 +131,7 @@ COVIDcast API.
 
 ## Limitations
 
-SafeGraph's Social Distancing Metrics and Weekly Patterns are based on mobile devices that are members of SafeGraph panels, which is not necessarily the same thing as measuring the general public. These counts do not represent absolute counts, and only count visits by members of the panel in that region. This can result in several biases:
+SafeGraph's [Social Distancing Metrics](https://docs.safegraph.com/docs/social-distancing-metrics) and [Weekly Patterns](https://docs.safegraph.com/docs/weekly-patterns) are based on mobile devices that are members of SafeGraph panels, which is not necessarily the same thing as measuring the general public. These counts do not represent absolute counts, and only count visits by members of the panel in that region. This can result in several biases:
 
 * **Geographic bias.** If some regions have a greater density of SafeGraph panel members as a percentage of the population than other regions, comparisons of metrics between regions may be biased. Regions with more SafeGraph panel members will appear to have more visits counted, even if the rate of visits in the general population is the same.
 * **Demographic bias.** SafeGraph panels may not be representative of the local population as a whole. For example, [some research suggests](https://doi.org/10.1145/3442188.3445881) that "older and non-white voters are less likely to be captured by mobility data", so this data will not accurately reflect behavior in those populations. Since population demographics vary across the United States, this can also contribute to geographic biases.
diff --git a/docs/api/flusurv.md b/docs/api/flusurv.md
index d7f017883..3e6923bf2 100644
--- a/docs/api/flusurv.md
+++ b/docs/api/flusurv.md
@@ -20,15 +20,15 @@ General topics not specific to any particular endpoint are discussed in the
 FluSurv-NET data (flu hospitaliation rates) from CDC.
 
 See also:
-  - https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html
-  - https://wwwnc.cdc.gov/eid/article/21/9/14-1912_article
+  - <https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html>
+  - <https://wwwnc.cdc.gov/eid/article/21/9/14-1912_article>
   - Chaves, S., Lynfield, R., Lindegren, M., Bresee, J., & Finelli, L. (2015).
     The US Influenza Hospitalization Surveillance Network. Emerging Infectious
-    Diseases, 21(9), 1543-1550. https://dx.doi.org/10.3201/eid2109.141912.
+    Diseases, 21(9), 1543-1550. <https://dx.doi.org/10.3201/eid2109.141912>.
 
 # The API
 
-The base URL is: https://api.delphi.cmu.edu/epidata/flusurv/
+The base URL is: <https://api.delphi.cmu.edu/epidata/flusurv/>
 
 See [this documentation](README.md) for details on specifying epiweeks, dates, and lists.
 
@@ -81,7 +81,7 @@ Notes:
 # Example URLs
 
 ### FluSurv on 2020w01 (CA)
-https://api.delphi.cmu.edu/epidata/flusurv/?locations=ca&epiweeks=202001
+<https://api.delphi.cmu.edu/epidata/flusurv/?locations=ca&epiweeks=202001>
 
 ```json
 {
diff --git a/docs/api/gft.md b/docs/api/gft.md
index c2642269b..3d665dff6 100644
--- a/docs/api/gft.md
+++ b/docs/api/gft.md
@@ -18,9 +18,10 @@ General topics not specific to any particular endpoint are discussed in the
 ## Google Flu Trends Data
 
 Estimate of influenza activity based on volume of certain search queries. Google has discontinued Flu Trends, and this is now a static endpoint.
- - Source: [Google](https://www.google.org/flutrends/)
+ - Data Source: [Google Flu Trends Estimates](https://www.google.com/publicdata/explore?ds=z3bsqef7ki44ac_)
  - Temporal Resolution: Weekly from 2003w40 until 2015w32
  - Spatial Resolution: National, [HHS regions](http://www.hhs.gov/iea/regional/) ([1+10](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/regions.txt)); by state/territory ([50+1](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/states.txt)); and by city ([97](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/cities.txt))
+ - Wikipedia Article: <https://en.wikipedia.org/wiki/Google_Flu_Trends>
  - Open access
 
 # The API
diff --git a/docs/api/ght.md b/docs/api/ght.md
index 67f23f435..bbe77836c 100644
--- a/docs/api/ght.md
+++ b/docs/api/ght.md
@@ -7,7 +7,7 @@ nav_order: 2
 
 # Google Health Trends
 
-This is the API documentation for accessing the Google Health Trends (`ght`)
+This is the API documentation for accessing the [Google Health Trends](https://trends.google.com/trends/fullscreen/m/IN)  (`ght`)
 endpoint of [Delphi](https://delphi.cmu.edu/)'s epidemiological data.
 
 General topics not specific to any particular endpoint are discussed in the
@@ -17,7 +17,10 @@ General topics not specific to any particular endpoint are discussed in the
 
 ## Google Health Trends Data
 
-Estimate of influenza activity based on volume of certain search queries. ... <!-- TODO -->
+Estimate of influenza activity based on volume of certain search queries.
+
+See also:
+  - 
 
 # The API
 
diff --git a/docs/api/nidss_dengue.md b/docs/api/nidss_dengue.md
index fd97a7c08..e11ef0713 100644
--- a/docs/api/nidss_dengue.md
+++ b/docs/api/nidss_dengue.md
@@ -36,7 +36,7 @@ See [this documentation](README.md) for details on specifying epiweeks, dates, a
 | Parameter | Description | Type |
 | --- | --- | --- |
 | `epiweeks` | epiweeks | `list` of epiweeks |
-| `locations` | locations | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) and/or [location](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_locations.txt) labels |
+| `locations` | **regions** (nationwide, central, eastern, Kaoping, northern, southern, Taipei) and **counties or cities** (Changhua County, Chiayi City, Chiayi County, Hsinchu City, Hsinchu County, Hualien County, Kaohsiung City, Keelung City, Kinmen County, Lienchiang County, Miaoli County, Nantou County, New Taipei City, Penghu County, Pingtung County, Taichung City, Tainan City, Taipei City, Taitung County, Taoyuan City, Yilan County, Yunlin County) | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) and/or [location](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_locations.txt) labels |
 
 ## Response
 
diff --git a/docs/api/nidss_flu.md b/docs/api/nidss_flu.md
index d168bcf82..457ad99e6 100644
--- a/docs/api/nidss_flu.md
+++ b/docs/api/nidss_flu.md
@@ -38,7 +38,7 @@ See [this documentation](README.md) for details on specifying epiweeks, dates, a
 | Parameter | Description | Type |
 | --- | --- | --- |
 | `epiweeks` | epiweeks | `list` of epiweeks |
-| `regions` | regions | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) labels |
+| `regions` | **regions** (nationwide, central, eastern, Kaoping, northern, southern, Taipei) | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) labels |
 
 ### Optional
 

From d80426d0e38e3208a20d6f1ae70a30d738476947 Mon Sep 17 00:00:00 2001
From: Tina Townes <tina.c.townes@gmail.com>
Date: Wed, 16 Oct 2024 23:22:58 -0400
Subject: [PATCH 3/4] second set of committs for descriptive links issue

---
 docs/api/covid_hosp.md   | 77 ++++++++++++++++++++++++++++++++++++----
 docs/api/ght.md          | 10 ++++--
 docs/api/nidss_dengue.md |  8 +++--
 docs/api/nidss_flu.md    |  6 +++-
 4 files changed, 89 insertions(+), 12 deletions(-)

diff --git a/docs/api/covid_hosp.md b/docs/api/covid_hosp.md
index 30d56e351..372402e5b 100644
--- a/docs/api/covid_hosp.md
+++ b/docs/api/covid_hosp.md
@@ -88,12 +88,19 @@ https://api.delphi.cmu.edu/epidata/covid_hosp_state_timeseries/?states=MA&dates=
 
 ```json
 {
-    "result": 1,
-    "epidata": [
+    "epidata":
+    [
         {
             "state": "MA",
-            "issue": 20201116,
+            "geocoded_state": null,
+            "issue": 20240503,
             "date": 20200510,
+            "critical_staffing_shortage_today_yes": 0,
+            "critical_staffing_shortage_today_no": 0,
+            "critical_staffing_shortage_today_not_reported": 84,
+            "critical_staffing_shortage_anticipated_within_week_yes": 0,
+            "critical_staffing_shortage_anticipated_within_week_no": 0,
+            "critical_staffing_shortage_anticipated_within_week_not_reported": 84,
             "hospital_onset_covid": 53,
             "hospital_onset_covid_coverage": 84,
             "inpatient_beds": 15691,
@@ -141,18 +148,74 @@ https://api.delphi.cmu.edu/epidata/covid_hosp_state_timeseries/?states=MA&dates=
             "adult_icu_bed_utilization_coverage": null,
             "adult_icu_bed_utilization_numerator": null,
             "adult_icu_bed_utilization_denominator": null,
-            "inpatient_beds_utilization": 0.6978504972730191,
-            "percent_of_inpatients_with_covid": 0.2902550897239881,
-            "inpatient_bed_covid_utilization": 0.21056656682174496,
+            "deaths_covid": 48,
+            "deaths_covid_coverage": 73,
+            "icu_patients_confirmed_influenza": null,
+            "icu_patients_confirmed_influenza_coverage": 0,
+            "on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses": null,
+            "on_hand_supply_therapeutic_b_bamlanivimab_courses": null,
+            "on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses": null,
+            "previous_day_admission_adult_covid_confirmed_18_19": null,
+            "previous_day_admission_adult_covid_confirmed_18_19_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_20_29": null,
+            "previous_day_admission_adult_covid_confirmed_20_29_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_30_39": null,
+            "previous_day_admission_adult_covid_confirmed_30_39_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_40_49": null,
+            "previous_day_admission_adult_covid_confirmed_40_49_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_50_59": null,
+            "previous_day_admission_adult_covid_confirmed_50_59_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_60_69": null,
+            "previous_day_admission_adult_covid_confirmed_60_69_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_70_79": null,
+            "previous_day_admission_adult_covid_confirmed_70_79_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_80plus": null,
+            "previous_day_admission_adult_covid_confirmed_80plus_coverage": 0,
+            "previous_day_admission_adult_covid_confirmed_unknown": null,
+            "previous_day_admission_adult_covid_confirmed_unknown_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_18_19": null,
+            "previous_day_admission_adult_covid_suspected_18_19_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_20_29": null,
+            "previous_day_admission_adult_covid_suspected_20_29_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_30_39": null,
+            "previous_day_admission_adult_covid_suspected_30_39_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_40_49": null,
+            "previous_day_admission_adult_covid_suspected_40_49_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_50_59": null,
+            "previous_day_admission_adult_covid_suspected_50_59_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_60_69": null,
+            "previous_day_admission_adult_covid_suspected_60_69_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_70_79": null,
+            "previous_day_admission_adult_covid_suspected_70_79_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_80plus": null,
+            "previous_day_admission_adult_covid_suspected_80plus_coverage": 0,
+            "previous_day_admission_adult_covid_suspected_unknown": null,
+            "previous_day_admission_adult_covid_suspected_unknown_coverage": 0,
+            "previous_day_admission_influenza_confirmed": null,
+            "previous_day_admission_influenza_confirmed_coverage": 0,
+            "previous_day_deaths_covid_and_influenza": null,
+            "previous_day_deaths_covid_and_influenza_coverage": 0,
+            "previous_day_deaths_influenza": null,
+            "previous_day_deaths_influenza_coverage": 0,
+            "previous_week_therapeutic_a_casirivimab_imdevimab_courses_used": null,
+            "previous_week_therapeutic_b_bamlanivimab_courses_used": null,
+            "previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used": null,
+            "total_patients_hospitalized_confirmed_influenza": null,
+            "total_patients_hospitalized_confirmed_influenza_coverage": 0,
+            "total_patients_hospitalized_confirmed_influenza_covid": null,
+            "total_patients_hospitalized_confirmed_influenza_covid_coverage": null,
+            "inpatient_beds_utilization": 0.697850497273019,
+            "percent_of_inpatients_with_covid": 0.290255089723988,
+            "inpatient_bed_covid_utilization": 0.210566566821745,
             "adult_icu_bed_covid_utilization": null,
             "adult_icu_bed_utilization": null
         }
     ],
+    "result": 1,
     "message": "success"
 }
 ```
 
-
 # Code Samples
 
 Libraries are available for [JavaScript](https://github.com/cmu-delphi/delphi-epidata/blob/main/src/client/delphi_epidata.js), [Python](https://pypi.org/project/delphi-epidata/), and [R](https://github.com/cmu-delphi/delphi-epidata/blob/dev/src/client/delphi_epidata.R).
diff --git a/docs/api/ght.md b/docs/api/ght.md
index bbe77836c..e5c2d7dcb 100644
--- a/docs/api/ght.md
+++ b/docs/api/ght.md
@@ -19,8 +19,14 @@ General topics not specific to any particular endpoint are discussed in the
 
 Estimate of influenza activity based on volume of certain search queries.
 
-See also:
-  - 
+## Example Publications 
+
+Herman Anthony Carneiro, Eleftherios Mylonakis. [Google Trends: A Web-Based Tool for Real-Time Surveillance of Disease Outbreaks](https://doi.org/10.1086/630200). Clinical Infectious Diseases, Volume 49, Issue 10, 15 November 2009, Pages 1557–1564. 
+
+Abel Brodeur, Andrew E. Clark, Sarah Fleche, Nattavudh Powdthavee.
+[COVID-19, lockdowns and well-being: Evidence from Google Trends](https://doi.org/10.1016/j.jpubeco.2020.104346). Journal of Public Economics, Volume 193, 2021, 104346.
+
+Sudhakar V. Nuti, Brian Wayda, Isuru Ranasinghe, Sisi Wang, Rachel P. Dreyer, Serene I. Chen, Karthik Murugiah. [The Use of Google Trends in Health Care Research: A Systematic Review](https://doi.org/10.1371/journal.pone.0109583), October 2014.
 
 # The API
 
diff --git a/docs/api/nidss_dengue.md b/docs/api/nidss_dengue.md
index e11ef0713..76effed61 100644
--- a/docs/api/nidss_dengue.md
+++ b/docs/api/nidss_dengue.md
@@ -7,7 +7,7 @@ nav_order: 2
 
 # NIDSS Dengue
 
-This is the documentation of the API for accessing the NIDSS Dengue (`nidss_dengue`) endpoint of
+This is the documentation of the API for accessing the Taiwan National Infectious Disease Statistics System Dengue (`nidss_dengue`) endpoint of
 the [Delphi](https://delphi.cmu.edu/)'s epidemiological data.
 
 General topics not specific to any particular endpoint are discussed in the
@@ -17,7 +17,7 @@ General topics not specific to any particular endpoint are discussed in the
 
 ## NIDSS Dengue Data
 
-Counts of confirmed dengue cases from Taiwan's NIDSS.
+Counts of confirmed dengue cases from Taiwan's National Infectious Disease Statistics System (NIDSS).
  - Data source: [Taiwan CDC](http://nidss.cdc.gov.tw/en/SingleDisease.aspx?dc=1&dt=4&disease=061&position=1)
  - Temporal Resolution: Weekly from 2003w01
  - Spatial Resolution: By [hexchotomy region](https://en.wikipedia.org/wiki/Regions_of_Taiwan#Hexchotomy) ([6+1](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt)) and by [city/county](https://en.wikipedia.org/wiki/List_of_administrative_divisions_of_Taiwan) ([22](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_locations.txt))
@@ -113,3 +113,7 @@ source('delphi_epidata.R')
 res <- Epidata$nidss_dengue(list('nationwide'), list(201440, Epidata$range(201501, 201510)))
 cat(paste(res$result, res$message, length(res$epidata), "\n"))
 ````
+
+# Source and Licensing
+
+The full text of the NIDSS Dengue license information is available on the Taiwan Digital Development Department's [website](https://data.gov.tw/license).
\ No newline at end of file
diff --git a/docs/api/nidss_flu.md b/docs/api/nidss_flu.md
index 457ad99e6..578d8cc84 100644
--- a/docs/api/nidss_flu.md
+++ b/docs/api/nidss_flu.md
@@ -7,7 +7,7 @@ nav_order: 2
 
 # NIDSS Flu
 
-This is the documentation of the API for accessing the NIDSS Flu (`nidss_flu`) endpoint of
+This is the documentation of the API for accessing the Taiwan National Infectious Disease Statistics System Flu (`nidss_flu`) endpoint of
 the [Delphi](https://delphi.cmu.edu/)'s epidemiological data.
 
 General topics not specific to any particular endpoint are discussed in the
@@ -134,3 +134,7 @@ source('delphi_epidata.R')
 res <- Epidata$nidss_flu(list('nationwide'), list(201440, Epidata$range(201501, 201510)))
 cat(paste(res$result, res$message, length(res$epidata), "\n"))
 ````
+
+# Source and Licensing
+
+The full text of the NIDSS Flu license information is available on the Taiwan Digital Development Department's [website](https://data.gov.tw/license).
\ No newline at end of file

From b896726e026f0314f448aa464fe3b05153ac9ddb Mon Sep 17 00:00:00 2001
From: nmdefries <42820733+nmdefries@users.noreply.github.com>
Date: Mon, 4 Nov 2024 14:57:30 -0500
Subject: [PATCH 4/4] Wording changes for clarity

---
 docs/api/covidcast-signals/google-symptoms.md |  2 +-
 docs/api/covidcast-signals/safegraph.md       |  8 +++++---
 docs/api/gft.md                               |  3 +--
 docs/api/ght.md                               | 11 ++++-------
 docs/api/nidss_dengue.md                      |  2 +-
 docs/api/nidss_flu.md                         |  2 +-
 6 files changed, 13 insertions(+), 15 deletions(-)

diff --git a/docs/api/covidcast-signals/google-symptoms.md b/docs/api/covidcast-signals/google-symptoms.md
index 1742ddee4..a8d403de2 100644
--- a/docs/api/covidcast-signals/google-symptoms.md
+++ b/docs/api/covidcast-signals/google-symptoms.md
@@ -21,7 +21,7 @@ nav_order: 1
 ## Overview
 
 This data source is based on the [COVID-19 Search Trends symptoms
-dataset](https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-search-trends?q=search&referrer=search&project=southern-guild-298314). Using
+dataset](https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-search-trends?hl=en-GB). Using
 this search data, we estimate the volume of searches mapped to symptom sets related
 to COVID-19. The resulting daily dataset for each region shows the average relative frequency of searches for each symptom set. The signals are measured in arbitrary units that are normalized for overall search users in the region and scaled by the maximum value of the normalized popularity within a geographic region across a specific time range. **Values are comparable across signals in the same location but NOT across geographic regions**. For example, within a state, we can compare `s01_smoothed_search` and `s02_smoothed_search`. However, we cannot compare `s01_smoothed_search` between states. Larger numbers represent increased relative popularity of symptom-related searches.
 
diff --git a/docs/api/covidcast-signals/safegraph.md b/docs/api/covidcast-signals/safegraph.md
index 142791232..6bf377437 100644
--- a/docs/api/covidcast-signals/safegraph.md
+++ b/docs/api/covidcast-signals/safegraph.md
@@ -31,8 +31,7 @@ surface signals from two such datasets.
 
 **This dataset is no longer updated after April 19th, 2021.**
 
-Data source based on [Social Distancing
-Metrics](https://docs.safegraph.com/docs/social-distancing-metrics).  SafeGraph
+Data source based on the [Social Distancing Metrics](https://docs.safegraph.com/docs/social-distancing-metrics) data product.  SafeGraph
 provided this data for individual census block groups, using differential
 privacy to protect individual people's data privacy. 
 
@@ -131,7 +130,10 @@ COVIDcast API.
 
 ## Limitations
 
-SafeGraph's [Social Distancing Metrics](https://docs.safegraph.com/docs/social-distancing-metrics) and [Weekly Patterns](https://docs.safegraph.com/docs/weekly-patterns) are based on mobile devices that are members of SafeGraph panels, which is not necessarily the same thing as measuring the general public. These counts do not represent absolute counts, and only count visits by members of the panel in that region. This can result in several biases:
+SafeGraph's [Social Distancing Metrics](https://docs.safegraph.com/docs/social-distancing-metrics) 
+and [Weekly Patterns](https://docs.safegraph.com/docs/weekly-patterns) data products
+are based on mobile devices that are members of SafeGraph panels, which is not necessarily the same thing as measuring the general public. 
+These counts do not represent absolute counts, and only count visits by members of the panel in that region. This can result in several biases:
 
 * **Geographic bias.** If some regions have a greater density of SafeGraph panel members as a percentage of the population than other regions, comparisons of metrics between regions may be biased. Regions with more SafeGraph panel members will appear to have more visits counted, even if the rate of visits in the general population is the same.
 * **Demographic bias.** SafeGraph panels may not be representative of the local population as a whole. For example, [some research suggests](https://doi.org/10.1145/3442188.3445881) that "older and non-white voters are less likely to be captured by mobility data", so this data will not accurately reflect behavior in those populations. Since population demographics vary across the United States, this can also contribute to geographic biases.
diff --git a/docs/api/gft.md b/docs/api/gft.md
index 3d665dff6..ced862113 100644
--- a/docs/api/gft.md
+++ b/docs/api/gft.md
@@ -18,10 +18,9 @@ General topics not specific to any particular endpoint are discussed in the
 ## Google Flu Trends Data
 
 Estimate of influenza activity based on volume of certain search queries. Google has discontinued Flu Trends, and this is now a static endpoint.
- - Data Source: [Google Flu Trends Estimates](https://www.google.com/publicdata/explore?ds=z3bsqef7ki44ac_)
+ - Data Source: [Google Flu Trends Estimates](https://www.google.com/publicdata/explore?ds=z3bsqef7ki44ac_) ([context](https://en.wikipedia.org/wiki/Google_Flu_Trends))
  - Temporal Resolution: Weekly from 2003w40 until 2015w32
  - Spatial Resolution: National, [HHS regions](http://www.hhs.gov/iea/regional/) ([1+10](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/regions.txt)); by state/territory ([50+1](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/states.txt)); and by city ([97](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/cities.txt))
- - Wikipedia Article: <https://en.wikipedia.org/wiki/Google_Flu_Trends>
  - Open access
 
 # The API
diff --git a/docs/api/ght.md b/docs/api/ght.md
index e5c2d7dcb..20698e753 100644
--- a/docs/api/ght.md
+++ b/docs/api/ght.md
@@ -18,15 +18,12 @@ General topics not specific to any particular endpoint are discussed in the
 ## Google Health Trends Data
 
 Estimate of influenza activity based on volume of certain search queries.
+This data may be useful for real-time monitoring of diseases, as in:
 
-## Example Publications 
-
-Herman Anthony Carneiro, Eleftherios Mylonakis. [Google Trends: A Web-Based Tool for Real-Time Surveillance of Disease Outbreaks](https://doi.org/10.1086/630200). Clinical Infectious Diseases, Volume 49, Issue 10, 15 November 2009, Pages 1557–1564. 
-
-Abel Brodeur, Andrew E. Clark, Sarah Fleche, Nattavudh Powdthavee.
+- Herman Anthony Carneiro, Eleftherios Mylonakis. [Google Trends: A Web-Based Tool for Real-Time Surveillance of Disease Outbreaks](https://doi.org/10.1086/630200). Clinical Infectious Diseases, Volume 49, Issue 10, 15 November 2009, Pages 1557–1564. 
+- Abel Brodeur, Andrew E. Clark, Sarah Fleche, Nattavudh Powdthavee.
 [COVID-19, lockdowns and well-being: Evidence from Google Trends](https://doi.org/10.1016/j.jpubeco.2020.104346). Journal of Public Economics, Volume 193, 2021, 104346.
-
-Sudhakar V. Nuti, Brian Wayda, Isuru Ranasinghe, Sisi Wang, Rachel P. Dreyer, Serene I. Chen, Karthik Murugiah. [The Use of Google Trends in Health Care Research: A Systematic Review](https://doi.org/10.1371/journal.pone.0109583), October 2014.
+- Sudhakar V. Nuti, Brian Wayda, Isuru Ranasinghe, Sisi Wang, Rachel P. Dreyer, Serene I. Chen, Karthik Murugiah. [The Use of Google Trends in Health Care Research: A Systematic Review](https://doi.org/10.1371/journal.pone.0109583), October 2014.
 
 # The API
 
diff --git a/docs/api/nidss_dengue.md b/docs/api/nidss_dengue.md
index 76effed61..33cd2ffc3 100644
--- a/docs/api/nidss_dengue.md
+++ b/docs/api/nidss_dengue.md
@@ -36,7 +36,7 @@ See [this documentation](README.md) for details on specifying epiweeks, dates, a
 | Parameter | Description | Type |
 | --- | --- | --- |
 | `epiweeks` | epiweeks | `list` of epiweeks |
-| `locations` | **regions** (nationwide, central, eastern, Kaoping, northern, southern, Taipei) and **counties or cities** (Changhua County, Chiayi City, Chiayi County, Hsinchu City, Hsinchu County, Hualien County, Kaohsiung City, Keelung City, Kinmen County, Lienchiang County, Miaoli County, Nantou County, New Taipei City, Penghu County, Pingtung County, Taichung City, Tainan City, Taipei City, Taitung County, Taoyuan City, Yilan County, Yunlin County) | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) and/or [location](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_locations.txt) labels |
+| `locations` | locations | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) and/or [location](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_locations.txt) labels |
 
 ## Response
 
diff --git a/docs/api/nidss_flu.md b/docs/api/nidss_flu.md
index 578d8cc84..d35e991d3 100644
--- a/docs/api/nidss_flu.md
+++ b/docs/api/nidss_flu.md
@@ -38,7 +38,7 @@ See [this documentation](README.md) for details on specifying epiweeks, dates, a
 | Parameter | Description | Type |
 | --- | --- | --- |
 | `epiweeks` | epiweeks | `list` of epiweeks |
-| `regions` | **regions** (nationwide, central, eastern, Kaoping, northern, southern, Taipei) | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) labels |
+| `regions` | regions | `list` of [region](https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/nidss_regions.txt) labels |
 
 ### Optional