📊 antibiotics: microbe total deaths from pathogens

dag/health.yml

@@ -969,3 +969,18 @@ steps:
     - data://meadow/antibiotics/2024-12-03/glass_enrolment
   data://grapher/antibiotics/2024-12-03/glass_enrolment:
     - data://garden/antibiotics/2024-12-03/glass_enrolment
+  # MICROBE - total deaths by pathogen
+  data-private://meadow/antibiotics/2024-12-04/microbe_total_pathogens:
+    - snapshot-private://antibiotics/2024-12-04/microbe_total_pathogens.csv
+  data-private://garden/antibiotics/2024-12-04/microbe_total_pathogens:
+    - data-private://meadow/antibiotics/2024-12-04/microbe_total_pathogens
+  data-private://grapher/antibiotics/2024-12-04/microbe_total_pathogens:
+    - data-private://garden/antibiotics/2024-12-04/microbe_total_pathogens
+  # MICROBE - total deaths by pathogen and amr resistance
+  data-private://meadow/antibiotics/2024-12-04/microbe_total_pathogens_amr:
+    - snapshot-private://antibiotics/2024-12-04/microbe_total_pathogens_amr.csv
+  data-private://garden/antibiotics/2024-12-04/microbe_total_pathogens_amr:
+    - data-private://meadow/antibiotics/2024-12-04/microbe_total_pathogens_amr
+    - data-private://garden/antibiotics/2024-12-04/microbe_total_pathogens
+  data-private://grapher/antibiotics/2024-12-04/microbe_total_pathogens_amr:
+    - data-private://garden/antibiotics/2024-12-04/microbe_total_pathogens_amr

etl/steps/data/garden/antibiotics/2024-12-02/total_pathogen_bloodstream.meta.yml

@@ -15,31 +15,31 @@ tables:
   total_pathogen_bloodstream:
     variables:
       value:
-        title: Total deaths from << pathogen >> infections
+        title: Total deaths from << pathogen >> bloodstream infections
         unit: deaths
-        description_short: Estimated number of deaths << pathogen >> infections. << pathogen >> is a {definitions.pathogen_type}.
+        description_short: Estimated number of deaths << pathogen >> bloodstream infections. << pathogen >> is a {definitions.pathogen_type}.
         presentation:
-          title_public: Total deaths from << pathogen >> infections
+          title_public: Total deaths from << pathogen >> bloodstream infections
         display:
           roundingMode: significantFigures
           numSignificantFigures: 3
           name: << pathogen >>
       upper:
-        title: Upper bound of total deaths from << pathogen >> infections
+        title: Upper bound of total deaths from << pathogen >> bloodstream infections
         unit: deaths
-        description_short: Estimated number of deaths << pathogen >> infections. << pathogen >> is a {definitions.pathogen_type}.
+        description_short: Estimated number of deaths << pathogen >> bloodstream infections. << pathogen >> is a {definitions.pathogen_type}.
         presentation:
-          title_public: Upper bound of total deaths from << pathogen >> infections
+          title_public: Upper bound of total deaths from << pathogen >> bloodstream infections
         display:
           roundingMode: significantFigures
           numSignificantFigures: 3
           name: << pathogen >>
       lower:
-        title: Lower bound of total deaths from << pathogen >> infections
+        title: Lower bound of total deaths from << pathogen >> bloodstream infections
         unit: deaths
-        description_short: Estimated number of deaths << pathogen >> infections. << pathogen >> is a {definitions.pathogen_type}.
+        description_short: Estimated number of deaths << pathogen >> bloodstream infections. << pathogen >> is a {definitions.pathogen_type}.
         presentation:
-          title_public: Lower bound of total deaths from << pathogen >> infections
+          title_public: Lower bound of total deaths from << pathogen >> bloodstream infections
         display:
           roundingMode: significantFigures
           numSignificantFigures: 3

etl/steps/data/garden/antibiotics/2024-12-04/microbe_total_pathogens.countries.json

@@ -0,0 +1,3 @@
+{
+  "Global": "World"
+}

etl/steps/data/garden/antibiotics/2024-12-04/microbe_total_pathogens.meta.yml

@@ -0,0 +1,46 @@
+# NOTE: To learn more about the fields, hover over their names.
+definitions:
+  common:
+    presentation:
+      topic_tags:
+        - Antibiotics
+  pathogen_type: <% if pathogen_type == "Fungi" %>fungus<% elif pathogen_type == "Viruses" %>virus<% else  %><< pathogen_type.lower() >><% endif %>
+
+# Learn more about the available fields:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+dataset:
+  update_period_days: 365
+
+tables:
+  microbe_total_pathogens:
+    variables:
+      value:
+        title: Total deaths from << pathogen >> infections
+        unit: deaths
+        description_short: Estimated number of deaths << pathogen >> infections. << pathogen >> is a {definitions.pathogen_type}.
+        presentation:
+          title_public: Total deaths from << pathogen >> infections
+        display:
+          roundingMode: significantFigures
+          numSignificantFigures: 3
+          name: << pathogen >>
+      upper:
+        title: Upper bound of total deaths from << pathogen >> infections
+        unit: deaths
+        description_short: Estimated number of deaths << pathogen >> infections. << pathogen >> is a {definitions.pathogen_type}.
+        presentation:
+          title_public: Upper bound of total deaths from << pathogen >> infections
+        display:
+          roundingMode: significantFigures
+          numSignificantFigures: 3
+          name: << pathogen >>
+      lower:
+        title: Lower bound of total deaths from << pathogen >> infections
+        unit: deaths
+        description_short: Estimated number of deaths << pathogen >> infections. << pathogen >> is a {definitions.pathogen_type}.
+        presentation:
+          title_public: Lower bound of total deaths from << pathogen >> infections
+        display:
+          roundingMode: significantFigures
+          numSignificantFigures: 3
+          name: << pathogen >>

etl/steps/data/garden/antibiotics/2024-12-04/microbe_total_pathogens.py

@@ -0,0 +1,35 @@
+"""Load a meadow dataset and create a garden dataset."""
+
+from etl.data_helpers import geo
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load meadow dataset.
+    ds_meadow = paths.load_dataset("microbe_total_pathogens")
+
+    # Read table from meadow dataset.
+    tb = ds_meadow.read("microbe_total_pathogens")
+
+    #
+    # Process data.
+    #
+    tb = geo.harmonize_countries(df=tb, countries_file=paths.country_mapping_path)
+    tb = tb.format(["country", "year", "pathogen", "pathogen_type"])
+
+    #
+    # Save outputs.
+    #
+    # Create a new garden dataset with the same metadata as the meadow dataset.
+    ds_garden = create_dataset(
+        dest_dir, tables=[tb], check_variables_metadata=True, default_metadata=ds_meadow.metadata
+    )
+
+    # Save changes in the new garden dataset.
+    ds_garden.save()

etl/steps/data/garden/antibiotics/2024-12-04/microbe_total_pathogens_amr.countries.json

@@ -0,0 +1,3 @@
+{
+  "Global": "World"
+}

etl/steps/data/garden/antibiotics/2024-12-04/microbe_total_pathogens_amr.meta.yml

@@ -0,0 +1,42 @@
+# NOTE: To learn more about the fields, hover over their names.
+definitions:
+  common:
+    presentation:
+      topic_tags:
+        - Antibiotics
+
+# Learn more about the available fields:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+dataset:
+  update_period_days: 365
+
+tables:
+  microbe_total_pathogens_amr:
+    variables:
+      amr_attributable_deaths:
+        title: Total deaths from infections attributed to AMR, by pathogen
+        unit: deaths
+        description_short: Estimated number of deaths from infections that are attributed to antimicrobial resistance.
+        presentation:
+          title_public: Total deaths from infections attributed to AMR, by pathogen
+        display:
+          roundingMode: significantFigures
+          numSignificantFigures: 3
+      non_amr_attributable_deaths:
+        title: Total global deaths from infections not attributed to AMR, by pathogen
+        unit: deaths
+        description_short: Estimated number of deaths from infections that are not attributed to antimicrobial resistance.
+        presentation:
+          title_public: Total global deaths from infections not attributed to AMR, by pathogen
+        display:
+          roundingMode: significantFigures
+          numSignificantFigures: 3
+      total_deaths:
+        title: Total global deaths from infections
+        unit: deaths
+        description_short: Estimated number of deaths from infections.
+        presentation:
+          title_public: Total global deaths from infections
+        display:
+          roundingMode: significantFigures
+          numSignificantFigures: 3

etl/steps/data/garden/antibiotics/2024-12-04/microbe_total_pathogens_amr.py

@@ -0,0 +1,55 @@
+"""Load a meadow dataset and create a garden dataset."""
+
+from etl.data_helpers import geo
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load meadow dataset.
+    ds_meadow = paths.load_dataset("microbe_total_pathogens_amr")
+    ds_total = paths.load_dataset("microbe_total_pathogens")
+
+    # Read table from meadow dataset.
+    tb = (
+        ds_meadow.read("microbe_total_pathogens_amr")
+        .drop(columns=["upper", "lower"])
+        .rename(columns={"value": "amr_attributable_deaths"})
+    )
+    tb_total = (
+        ds_total.read("microbe_total_pathogens")
+        .drop(columns=["upper", "lower"])
+        .rename(columns={"value": "total_deaths"})
+    )
+    #
+    # Process data.
+    #
+    tb = geo.harmonize_countries(
+        df=tb,
+        countries_file=paths.country_mapping_path,
+    )
+
+    tb = tb.merge(tb_total, on=["country", "year", "pathogen", "pathogen_type"], how="right")
+
+    tb["amr_attributable_deaths"] = tb["amr_attributable_deaths"].fillna(0)
+    tb["non_amr_attributable_deaths"] = tb["total_deaths"] - tb["amr_attributable_deaths"]
+    # Process data.
+    tb = tb.drop(columns=["country", "pathogen_type"]).rename(columns={"pathogen": "country"})
+
+    tb = tb.format(["country", "year"])
+
+    #
+    # Save outputs.
+    #
+    # Create a new garden dataset with the same metadata as the meadow dataset.
+    ds_garden = create_dataset(
+        dest_dir, tables=[tb], check_variables_metadata=True, default_metadata=ds_meadow.metadata
+    )
+
+    # Save changes in the new garden dataset.
+    ds_garden.save()

etl/steps/data/grapher/antibiotics/2024-12-04/microbe_total_pathogens.py

@@ -0,0 +1,28 @@
+"""Load a garden dataset and create a grapher dataset."""
+
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load garden dataset.
+    ds_garden = paths.load_dataset("microbe_total_pathogens")
+
+    # Read table from garden dataset.
+    tb = ds_garden.read("microbe_total_pathogens", reset_index=False)
+
+    #
+    # Save outputs.
+    #
+    # Create a new grapher dataset with the same metadata as the garden dataset.
+    ds_grapher = create_dataset(
+        dest_dir, tables=[tb], check_variables_metadata=True, default_metadata=ds_garden.metadata
+    )
+
+    # Save changes in the new grapher dataset.
+    ds_grapher.save()

etl/steps/data/grapher/antibiotics/2024-12-04/microbe_total_pathogens_amr.py

@@ -0,0 +1,28 @@
+"""Load a garden dataset and create a grapher dataset."""
+
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load garden dataset.
+    ds_garden = paths.load_dataset("microbe_total_pathogens_amr")
+
+    # Read table from garden dataset.
+    tb = ds_garden.read("microbe_total_pathogens_amr", reset_index=False)
+
+    #
+    # Save outputs.
+    #
+    # Create a new grapher dataset with the same metadata as the garden dataset.
+    ds_grapher = create_dataset(
+        dest_dir, tables=[tb], check_variables_metadata=True, default_metadata=ds_garden.metadata
+    )
+
+    # Save changes in the new grapher dataset.
+    ds_grapher.save()

etl/steps/data/meadow/antibiotics/2024-12-04/microbe_total_pathogens.py

@@ -0,0 +1,39 @@
+"""Load a snapshot and create a meadow dataset."""
+
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Retrieve snapshot.
+    snap = paths.load_snapshot("microbe_total_pathogens.csv")
+
+    # Load data from snapshot.
+    tb = snap.read()
+    assert all(tb["Age"] == "All Ages")
+    assert all(tb["Sex"] == "Both sexes")
+    assert all(tb["Measure"] == "Deaths")
+    assert all(tb["Metric"] == "Number")
+    assert all(tb["Counterfactual"] == "Total")
+    assert all(tb["Infectious syndrome"] == "All infectious syndromes")
+
+    #
+    # Process data.
+    tb = tb.drop(columns=["Age", "Sex", "Measure", "Metric", "Infectious syndrome", "Counterfactual"])
+    tb = tb.rename(columns={"Location": "country", "Year": "year", "Pathogen": "pathogen"})
+    # Ensure all columns are snake-case, set an appropriate index, and sort conveniently.
+    tb = tb.format(["country", "year", "pathogen"])
+
+    #
+    # Save outputs.
+    #
+    # Create a new meadow dataset with the same metadata as the snapshot.
+    ds_meadow = create_dataset(dest_dir, tables=[tb], check_variables_metadata=True, default_metadata=snap.metadata)
+
+    # Save changes in the new meadow dataset.
+    ds_meadow.save()

etl/steps/data/meadow/antibiotics/2024-12-04/microbe_total_pathogens_amr.py

@@ -0,0 +1,39 @@
+"""Load a snapshot and create a meadow dataset."""
+
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Retrieve snapshot.
+    snap = paths.load_snapshot("microbe_total_pathogens_amr.csv")
+
+    # Load data from snapshot.
+    tb = snap.read()
+    assert all(tb["Age"] == "All Ages")
+    assert all(tb["Sex"] == "Both sexes")
+    assert all(tb["Measure"] == "Deaths")
+    assert all(tb["Metric"] == "Number")
+    assert all(tb["Counterfactual"] == "Attributable")
+    assert all(tb["Infectious syndrome"] == "All infectious syndromes")
+
+    #
+    # Process data.
+    tb = tb.drop(columns=["Age", "Sex", "Measure", "Metric", "Infectious syndrome", "Counterfactual"])
+    tb = tb.rename(columns={"Location": "country", "Year": "year", "Pathogen": "pathogen"})
+    # Ensure all columns are snake-case, set an appropriate index, and sort conveniently.
+    tb = tb.format(["country", "year", "pathogen"])
+
+    #
+    # Save outputs.
+    #
+    # Create a new meadow dataset with the same metadata as the snapshot.
+    ds_meadow = create_dataset(dest_dir, tables=[tb], check_variables_metadata=True, default_metadata=snap.metadata)
+
+    # Save changes in the new meadow dataset.
+    ds_meadow.save()