This date ({formatDateYearDayOfWeekAbbr(date.value)}) does not yet have data for all of the highlighted
diff --git a/src/modes/exportdata/ExportData.svelte b/src/modes/exportdata/ExportData.svelte
index b04c2da7..bde068c3 100644
--- a/src/modes/exportdata/ExportData.svelte
+++ b/src/modes/exportdata/ExportData.svelte
@@ -27,18 +27,37 @@
}
}
+ // Pre-fill the form from URL parameters.
+ // Supported parameters: data_source, signal, start_day, end_day, geo_type, geo_value, as_of
+ const urlParams = new URLSearchParams(window.location.search);
+
+ // Overwrite default source & sensor if these are present in the URL
+ if (urlParams.has('data_source')) {
+ sourceValue = urlParams.get('data_source');
+
+ if (urlParams.has('signal')) {
+ sensorValue = urlParams.get('signal');
+ }
+ }
+
$: isWeekly = sensor ? sensor.isWeeklySignal : false;
$: formatDate = isWeekly ? (d) => formatWeek(d).replace('W', '') : formatDateISO;
- let geoType = 'county';
+ let geoType = urlParams.has('geo_type') ? urlParams.get('geo_type') : 'county';
let startDate = new Date();
let endDate = new Date();
function initDate(date) {
const param = new DateParam(date);
- endDate = param.sparkLineTimeFrame.max;
- startDate = param.sparkLineTimeFrame.min;
+
+ // Populate date based on URL params or, if absent, the current date
+ startDate = urlParams.has('start_day') ? new Date(urlParams.get('start_day')) : param.sparkLineTimeFrame.min;
+ endDate = urlParams.has('end_day') ? new Date(urlParams.get('end_day')) : param.sparkLineTimeFrame.max;
+
+ // Also normalize the dates to the current timezone
+ startDate = new Date(startDate.getTime() - startDate.getTimezoneOffset() * -60000);
+ endDate = new Date(endDate.getTime() - endDate.getTimezoneOffset() * -60000);
}
$: initDate($currentDateObject);
@@ -59,12 +78,20 @@
let geoValuesMode = 'all';
let geoValues = [];
+ let geoURLSet = false;
$: geoItems = [...(infosByLevel[geoType] || []), ...(geoType === 'county' ? infosByLevel.state : [])];
$: {
if (geoItems != null) {
geoValues = [];
geoValuesMode = guessMode(geoItems.length);
}
+
+ // Populate region based on URL params... but let the user override this later
+ if (urlParams.has('geo_value') && !geoURLSet) {
+ let infos = infosByLevel[geoType].filter((d) => d.propertyId == urlParams.get('geo_value'));
+ addRegion(infos[0]);
+ geoURLSet = true;
+ }
}
function flatIds(geoValues) {
@@ -90,6 +117,13 @@
}
}
$: usesAsOf = asOfMode !== 'latest' && asOfDate instanceof Date;
+ // set as_of based on URL params, if it's a valid date
+ if (urlParams.has('as_of') && !isNaN(new Date(urlParams.get('as_of')))) {
+ asOfMode = 'single';
+ asOfDate = new Date(urlParams.get('as_of'));
+ // Also normalize the dates to the current timezone
+ asOfDate = new Date(asOfDate.getTime() - asOfDate.getTimezoneOffset() * -60000);
+ }
let form = null;
@@ -104,6 +138,14 @@
);
});
}
+ // Fix up the UI if we got an inactive sensor from the URL parameters.
+ if (sensor && !sensor.active) {
+ showInActive = true;
+ // Force an update to sourceValue to set related reactive statements correctly.
+ let temp = sourceValue;
+ sourceValue = '';
+ sourceValue = temp;
+ }
});
function addRegion(detail) {
diff --git a/src/modes/summary/Overview.svelte b/src/modes/summary/Overview.svelte
index fc4b4a8a..cc96f3d0 100644
--- a/src/modes/summary/Overview.svelte
+++ b/src/modes/summary/Overview.svelte
@@ -6,7 +6,7 @@
import MaxDateHint from '../../blocks/MaxDateHint.svelte';
import NoRecentDataWarning from '../../blocks/NoRecentDataWarning.svelte';
import { defaultDeathSensor, defaultCasesSensor, defaultHospitalSensor, metaDataManager } from '../../stores';
- import { onMount, beforeUpdate } from 'svelte';
+ import { onMount } from 'svelte';
/**
* @type {import("../../stores/params").DateParam}
@@ -30,44 +30,30 @@
$: hospitalTrend = trends[1];
$: deathTrend = trends[2];
- let minMaxDate = new Date();
+ // Get the latest date that has data for all 3 indicators(CASES, HOSPITAL_ADMISSION and DEATHS).
+ $: minMaxDate = new Date(
+ Math.min(
+ ...[CASES, HOSPITAL_ADMISSION, DEATHS].map((s) => {
+ // As DEATHS sensor is weekly based, we need to add 6 days to the max date of DEATHS sensor to get the last day of the week.
+ if (s.name === 'COVID Deaths') {
+ return s.timeFrame.max.getTime() + 6 * 24 * 60 * 60 * 1000; // add 6 days to the max date of DEATHS sensor to get the last day of the week.
+ } else {
+ return s.timeFrame.max;
+ }
+ }),
+ ),
+ );
onMount(() => {
- [CASES, HOSPITAL_ADMISSION].map((s) => {
- if (s.timeFrame.max < minMaxDate) {
- minMaxDate = s.timeFrame.max;
- }
- });
let urlSearchParams = new URLSearchParams(window.location.search);
if (!urlSearchParams.has('date')) {
- // if no date is specified in the URL, default to the latest day before today with data from all 3 highlighted indicators
+ // if no date is specified in the URL, default to the latest day with data from 3 highlighted indicators (CASES, HOSPITAL_ADMISSION and DEATHS).
date.set(minMaxDate);
}
});
-
- // warningType is indicator of which exact warning message should be shown.
- // By default, when user opens page with no specified date, the date will be set to the latest date we have data for all 3 indicators.
- // In this case, warningType should be set to 1.
- // In case selected date is set to future date (date > minMaxDate, where we don't have recent data for all 3 indicators), the warningType will be set to 2
- // which has different warning message.
- // In case selected date is set to some date which is < minMaxDate, the warningType will be set to 0 which means that we will not show
- // any warning message.
-
- // warningType should be set in beforeUpdate() method, to guess correct warningType.
-
- let warningType = 1;
- beforeUpdate(() => {
- if (date.value > minMaxDate) {
- warningType = 2;
- } else if (date.value < minMaxDate) {
- warningType = 0;
- } else {
- warningType = 1;
- }
- });
-
+
diff --git a/src/stores/descriptions.raw.txt b/src/stores/descriptions.raw.txt
index 98bda8f1..c403121f 100644
--- a/src/stores/descriptions.raw.txt
+++ b/src/stores/descriptions.raw.txt
@@ -21,6 +21,39 @@ SignalTooltip: Google search volume of COVID-related symptom searches about comm
Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to nasal congestion, post nasal drip, rhinorrhea, sinusitis, rhinitis, and common cold in each area. These symptoms have shown positive correlation with reported COVID cases, especially since Omicron was declared a variant of concern by the World Health Organization. Note that the average search volume of these symptoms is not equivalent to the search volume of their union. According to Google, the estimates are not comparable across regions since the values are normalized by population and scaled by region-specific maximum popularity (and for this reason, we omit beehive grids and choropleth maps of this signal on the dashboard).
---
+Name: Symptom Searches (Cough, Phlegm, Sputum, Upper respiratory tract infection) on Google
+Id: google-symptoms
+Signal: s01_smoothed_search
+Unit: scaled search volume
+UnitShort:
+noMaps: true
+
+SignalTooltip: Google search volume of COVID-related symptom searches about Cough, Phlegm, Sputum, Upper respiratory tract infection
+
+Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to cough, phlegm, sputum, and upper respiratory tract infection in each area. These symptoms have shown positive correlation with reported COVID cases. Note that the average search volume of these symptoms is not equivalent to the search volume of their union. According to Google, the estimates are not comparable across regions since the values are normalized by population and scaled by region-specific maximum popularity (and for this reason, we omit beehive grids and choropleth maps of this signal on the dashboard).
+---
+Name: Symptom Searches (Fever, Hyperthermia, Chills, Shivering) on Google
+Id: google-symptoms
+Signal: s03_smoothed_search
+Unit: scaled search volume
+UnitShort:
+noMaps: true
+
+SignalTooltip: Google search volume of COVID-related symptom searches about Fever, Hyperthermia, Chills, Shivering
+
+Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to fever, hyperthermia, chills, shivering, and low grade fever in each area. These symptoms have shown positive correlation with reported COVID cases. Note that the average search volume of these symptoms is not equivalent to the search volume of their union. According to Google, the estimates are not comparable across regions since the values are normalized by population and scaled by region-specific maximum popularity (and for this reason, we omit beehive grids and choropleth maps of this signal on the dashboard).
+---
+Name: Symptom Searches (Shortness of breath, Wheeze, Croup, Pneumonia, Asthma, Crackles, Bronchitis) on Google
+Id: google-symptoms
+Signal: s04_smoothed_search
+Unit: scaled search volume
+UnitShort:
+noMaps: true
+
+SignalTooltip: Google search volume of COVID-related symptom searches about Shortness of breath, Wheeze, Croup, Pneumonia, Asthma, Crackles, Bronchitis
+
+Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to shortness of breath, wheeze, croup, pneumonia, asthma, crackles, acute bronchitis, and bronchitis in each area. These symptoms have shown positive correlation with reported COVID cases. Note that the average search volume of these symptoms is not equivalent to the search volume of their union. According to Google, the estimates are not comparable across regions since the values are normalized by population and scaled by region-specific maximum popularity (and for this reason, we omit beehive grids and choropleth maps of this signal on the dashboard).
+---
Name: COVID-Related Doctor Visits
Id: doctor-visits
Signal: smoothed_adj_cli
@@ -32,49 +65,18 @@ SignalTooltip: Percentage of daily doctor visits that are due to COVID-like symp
Description: Delphi receives aggregated statistics from health system partners on COVID-related outpatient doctor visits, derived from ICD codes found in insurance claims. Using this data, we estimate the percentage of daily doctor’s visits in each area that are due to COVID-like illness. Note that these estimates are based only on visits by patients whose data is accessible to our partners.
---
-Name: Lab-Confirmed Flu in Doctor Visits
-Id: chng
-Signal: smoothed_adj_outpatient_flu
-Unit: per 100 visits
-
-
-SignalTooltip: Percentage of daily doctor visits that are due to lab-confirmed influenza
-
-
-Description: Delphi receives aggregated statistics from Change Healthcare, Inc. on lab-confirmed influenza outpatient doctor visits, derived from ICD codes found in insurance claims. Using this data, we estimate the percentage of daily doctor’s visits in each area that resulted in a diagnosis of influenza. Note that these estimates are based only on visits by patients whose insurance claims are accessible to Change Healthcare.
----
-Name: COVID Hospital Admissions
-Id: hhs
-Signal: confirmed_admissions_covid_1d_prop_7dav
-ExtendedColorScale: true
-# override with additional county
-Levels: [nation, state, county]
-Overrides:
- County:
- Id: hospital-admissions
- Signal: smoothed_adj_covid19_from_claims
-
-
-
-
-SignalTooltip: Confirmed COVID-19 hospital admissions per 100,000 people
-
-
-Description: This data shows the number of hospital admissions with lab-confirmed COVID-19 each day. At the state level and above, we show data from the Report on Patient Impact and Hospital Capacity published by the US Department of Health & Human Services (HHS). At the county and metro level, we show data from the Community Profile Report published by the Data Strategy Execution Workgroup.
----
-Name: Flu Hospital Admissions
-Id: hhs
-Signal: confirmed_admissions_influenza_1d_prop_7dav
+Name: COVID Hospital Admissions From Claims
+Id: hospital-admissions
+Signal: smoothed_adj_covid19_from_claims
ExtendedColorScale: true
-Levels: [nation, state]
-SignalTooltip: Confirmed influenza hospital admissions per 100,000 people
+SignalTooltip: COVID Hospital Admissions From Claims
-Description: This data shows the number of hospital admissions with lab-confirmed influenza each day. We source this data from the Report on Patient Impact and Hospital Capacity published by the US Department of Health & Human Services (HHS).
+Description: Estimated percentage of new hospital admissions with COVID-associated diagnoses, based on counts of claims from health system partners, smoothed in time using a Gaussian linear smoother, and adjusted to reduce day-of-week effects.
---
Name: COVID Deaths
Id: nchs-mortality
@@ -85,3 +87,19 @@ SignalTooltip: Newly reported COVID-19 deaths per 100,000 people, based on NCHS
Description: This data shows the number of COVID-19 deaths newly reported each week. The signal is based on COVID-19 death counts compiled and made public by [the National Center for Health Statistics](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm).
+---
+Name: COVID Emergency Department Visits (Percent of total ED visits)
+Id: nssp
+Signal: pct_ed_visits_covid
+
+SignalTooltip: COVID Emergency Department Visits (Percent of total ED visits)
+
+Description: Percent of ED visits that had a discharge diagnosis code of COVID-19
+---
+Name: Influenza Emergency Department Visits (Percent of total ED visits)
+Id: nssp
+Signal: pct_ed_visits_influenza
+
+SignalTooltip: Influenza Emergency Department Visits (Percent of total ED visits)
+
+Description: Percent of ED visits that had a discharge diagnosis code of influenza
diff --git a/src/stores/index.ts b/src/stores/index.ts
index 788c30b3..10141ee3 100644
--- a/src/stores/index.ts
+++ b/src/stores/index.ts
@@ -112,7 +112,7 @@ export const defaultCasesSensor = derived(sensorList, (sensorList) => {
return sensorList.find((d) => d.signal === 'smoothed_adj_cli');
});
export const defaultHospitalSensor = derived(sensorList, (sensorList) => {
- return sensorList.find((d) => d.signal === 'confirmed_admissions_covid_1d_prop_7dav');
+ return sensorList.find((d) => d.signal === 'smoothed_adj_covid19_from_claims');
});
export const defaultDeathSensor = derived(sensorList, (sensorList) => {
return sensorList.find((d) => d.signal === 'deaths_covid_incidence_prop');