Cleanup text

Text cleanup in sidebar and main page

Author: jlubken

src/chime_dash/app/templates/en/intro.md

@@ -1,5 +1,5 @@
 The estimated number of currently infected individuals is **{total_infections:.0f}**. This is based on current inputs for
-    Hospitalizations (**{current_hosp}**), Hospitalization rate (**{hosp_rate:.0%}**), Region size (**{S}**),
+    Hospitalizations (**{current_hosp}**), Hospitalization rate (**{hosp_rate:.0%}**), Regional population (**{S}**),
     and Hospital market share (**{market_share:.0%}**).
 
 {infected_population_warning_str}

src/chime_dash/app/templates/en/sidebar.yml

@@ -1,25 +1,25 @@
 hospital_parameters: Hospital Parameters
-population: Regional Population
-market_share: Hospital Market Share (%)
-current_hospitalized: Currently Hospitalized COVID-19 Patients
+population: Regional population
+market_share: Hospital market share (%)
+current_hospitalized: Currently hospitalized COVID-19 patients
 
 spread_parameters: Spread and Contact Parameters
-date_first_hospitalized: Date of first hospitalized case - Enter this date to have chime estimate the initial doubling time
+date_first_hospitalized: Date of first hospitalized case (enter this date to have CHIME estimate the initial doubling time)
 doubling_time: Doubling time in days (up to today. This overwrites date of first hospitalized estimation)
 relative_contact_rate: Social distancing (% reduction in social contact going forward)
 
 severity_parameters: Severity Parameters
-hospitalized_rate: Hospitalization %(total infections)
-icu_rate: ICU %(total infections)
-ventilated_rate: Ventilated %(total infections)
-infectious_days: Infectious Days
-hospitalized_los: Average Hospital Length of Stay (days)
-icu_los: Average Days in ICU
-ventilated_los: Average Days on Ventilator
+hospitalized_rate: Hospitalization rate (% of total infections)
+icu_rate: ICU (% of total infections)
+ventilated_rate: Ventilated (% of total infections)
+infectious_days: Infectious days
+hospitalized_los: Average hospital length of stay (in days)
+icu_los: Average days in ICU
+ventilated_los: Average days on ventilator
 
-display_parameters: Display parameters
+display_parameters: Display Parameters
 n_days: Number of days to project
-current_date: Current date (Default is today)
+current_date: Current date (default is today)
 max_y_axis: Set the Y-axis on graphs to a static
 max_y_axis_value: Maximal y-axis value (leave blank for no max value)
 show_tables: Show tables with data

src/penn_chime/cli.py

@@ -55,7 +55,7 @@ def parse_args():
             int,
             0,
             None,
-            "Currently Hospitalized COVID-19 Patients (>= 0)",
+            "Currently hospitalized COVID-19 patients (>= 0)",
             True,
         ),
         (
@@ -74,7 +74,7 @@ def parse_args():
             "Doubling time before social distancing (days)",
             True,
         ),
-        ("--hospitalized-days", int, 0, None, "Average Hospital Length of Stay (days)", True),
+        ("--hospitalized-days", int, 0, None, "Average hospital length of stay (in days)", True),
         (
             "--hospitalized-rate",
             float,
@@ -83,14 +83,14 @@ def parse_args():
             "Hospitalized Rate: 0.00001 - 1.0",
             True,
         ),
-        ("--icu-days", int, 0, None, "Average Days in ICU", True),
-        ("--icu-rate", float, 0.0, 1.0, "ICU Rate: 0.0 - 1.0", True),
+        ("--icu-days", int, 0, None, "Average days in ICU", True),
+        ("--icu-rate", float, 0.0, 1.0, "ICU rate: 0.0 - 1.0", True),
         (
             "--market_share",
             float,
             0.00001,
             1.0,
-            "Hospital Market Share (0.00001 - 1.0)",
+            "Hospital market share (0.00001 - 1.0)",
             True,
         ),
         ("--infectious-days", float, 0.0, None, "Infectious days", True),
@@ -100,11 +100,11 @@ def parse_args():
             float,
             0.0,
             1.0,
-            "Social Distancing Reduction Rate: 0.0 - 1.0",
+            "Social distancing reduction rate: 0.0 - 1.0",
             True,
         ),
-        ("--population", int, 1, None, "Regional Population >= 1", True),
-        ("--ventilated-days", int, 0, None, "Average Days on Ventilator", True),
+        ("--population", int, 1, None, "Regional population >= 1", True),
+        ("--ventilated-days", int, 0, None, "Average days on ventilator", True),
         ("--ventilated-rate", float, 0.0, 1.0, "Ventilated Rate: 0.0 - 1.0", True),
     ):
         parser.add_argument(

src/penn_chime/presentation.py

@@ -70,7 +70,7 @@ def display_header(st, m, p):
 
     st.markdown(
         """The estimated number of currently infected individuals is **{total_infections:.0f}**. This is based on current inputs for
-    Hospitalizations (**{current_hosp}**), Hospitalization rate (**{hosp_rate:.0%}**), Region size (**{S}**),
+    Hospitalizations (**{current_hosp}**), Hospitalization rate (**{hosp_rate:.0%}**), Regional population (**{S}**),
     and Hospital market share (**{market_share:.0%}**).
 
 {infected_population_warning_str}
@@ -179,7 +179,7 @@ def display_sidebar(st, d: Parameters) -> Parameters:
     st_obj = st.sidebar
     current_hospitalized_input = NumberInput(
         st_obj,
-        "Currently Hospitalized COVID-19 Patients",
+        "Currently hospitalized COVID-19 patients",
         min_value=0,
         value=d.current_hospitalized,
         step=1,
@@ -202,10 +202,10 @@ def display_sidebar(st, d: Parameters) -> Parameters:
         format="%f",
     )
     current_date_input = DateInput(
-        st_obj, "Current date (Default is today)", value=d.current_date,
+        st_obj, "Current date (default is today)", value=d.current_date,
     )
     date_first_hospitalized_input = DateInput(
-        st_obj, "Date of first hospitalized case - Enter this date to have chime estimate the initial doubling time",
+        st_obj, "Date of first hospitalized case (enter this date to have CHIME estimate the initial doubling time)",
         value=d.date_first_hospitalized,
     )
     mitigation_date_input = DateInput(
@@ -234,45 +234,45 @@ def display_sidebar(st, d: Parameters) -> Parameters:
     )
     hospitalized_days_input = NumberInput(
         st_obj,
-        "Average Hospital Length of Stay (days)",
+        "Average hospital length of stay (in days)",
         min_value=0,
         value=d.hospitalized.days,
         step=1,
         format="%i",
     )
     icu_days_input = NumberInput(
         st_obj,
-        "Average Days in ICU",
+        "Average days in ICU",
         min_value=0,
         value=d.icu.days,
         step=1,
         format="%i",
     )
     ventilated_days_input = NumberInput(
         st_obj,
-        "Average Days on Ventilator",
+        "Average days on ventilator",
         min_value=0,
         value=d.ventilated.days,
         step=1,
         format="%i",
     )
     market_share_pct_input = PercentInput(
         st_obj,
-        "Hospital Market Share (%)",
+        "Hospital market share (%)",
         min_value=0.5,
         value=d.market_share,
     )
     population_input = NumberInput(
         st_obj,
-        "Regional Population",
+        "Regional population",
         min_value=1,
         value=(d.population),
         step=1,
         format="%i",
     )
     infectious_days_input = NumberInput(
         st_obj,
-        "Infectious Days",
+        "Infectious days",
         min_value=0,
         value=d.infectious_days,
         step=1,