diff --git a/dag/health.yml b/dag/health.yml
index 825473ed8b0..055219b6aab 100644
--- a/dag/health.yml
+++ b/dag/health.yml
@@ -563,6 +563,35 @@ steps:
   data://grapher/who/2024-04-26/avian_influenza_ah5n1:
     - data://garden/who/2024-04-26/avian_influenza_ah5n1
 
+
+  # WHO Preventive Chemotherapy - Neglected Tropical Diseases
+  # Lymphatic filariasis
+  data://meadow/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis:
+    - snapshot://neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.xlsx
+  data://garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis:
+    - data://meadow/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis
+    - data://garden/regions/2023-01-01/regions
+  data://grapher/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis:
+    - data://garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis
+
+  # Schistosomiasis
+  data://meadow/neglected_tropical_diseases/2024-05-02/schistosomiasis:
+    - snapshot://neglected_tropical_diseases/2024-05-02/schistosomiasis.xlsx
+  data://garden/neglected_tropical_diseases/2024-05-02/schistosomiasis:
+    - data://meadow/neglected_tropical_diseases/2024-05-02/schistosomiasis
+    - data://garden/regions/2023-01-01/regions
+  data://grapher/neglected_tropical_diseases/2024-05-02/schistosomiasis:
+    - data://garden/neglected_tropical_diseases/2024-05-02/schistosomiasis
+
+    # Soil-transmitted helminthiases
+  data://meadow/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases:
+    - snapshot://neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.xlsx
+  data://garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases:
+    - data://meadow/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases
+    - data://garden/regions/2023-01-01/regions
+  data://grapher/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases:
+    - data://garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases
+
   # Neglected Tropical Diseases Funding
   data://meadow/neglected_tropical_diseases/2024-05-18/funding:
     - snapshot://neglected_tropical_diseases/2024-05-18/funding.xlsx
@@ -570,3 +599,4 @@ steps:
     - data://meadow/neglected_tropical_diseases/2024-05-18/funding
   data://grapher/neglected_tropical_diseases/2024-05-18/funding:
     - data://garden/neglected_tropical_diseases/2024-05-18/funding
+
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.countries.json b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.countries.json
new file mode 100644
index 00000000000..86829941884
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.countries.json
@@ -0,0 +1,84 @@
+{
+  "American Samoa": "American Samoa",
+  "Angola": "Angola",
+  "Bangladesh": "Bangladesh",
+  "Benin": "Benin",
+  "Brazil": "Brazil",
+  "Brunei Darussalam": "Brunei",
+  "Burkina Faso": "Burkina Faso",
+  "Burundi": "Burundi",
+  "Cabo Verde": "Cape Verde",
+  "Cambodia": "Cambodia",
+  "Cameroon": "Cameroon",
+  "Central African Republic": "Central African Republic",
+  "Chad": "Chad",
+  "Comoros": "Comoros",
+  "Congo": "Congo",
+  "Cook Islands": "Cook Islands",
+  "Costa Rica": "Costa Rica",
+  "C\u00f4te d'Ivoire": "Cote d'Ivoire",
+  "Democratic Republic of the Congo": "Democratic Republic of Congo",
+  "Dominican Republic": "Dominican Republic",
+  "Egypt": "Egypt",
+  "Equatorial Guinea": "Equatorial Guinea",
+  "Eritrea": "Eritrea",
+  "Ethiopia": "Ethiopia",
+  "Fiji": "Fiji",
+  "French Polynesia": "French Polynesia",
+  "Gabon": "Gabon",
+  "Gambia": "Gambia",
+  "Ghana": "Ghana",
+  "Guinea": "Guinea",
+  "Guinea-Bissau": "Guinea-Bissau",
+  "Guyana": "Guyana",
+  "Haiti": "Haiti",
+  "India": "India",
+  "Indonesia": "Indonesia",
+  "Kenya": "Kenya",
+  "Kiribati": "Kiribati",
+  "Lao People's Democratic Republic": "Laos",
+  "Liberia": "Liberia",
+  "Madagascar": "Madagascar",
+  "Malawi": "Malawi",
+  "Malaysia": "Malaysia",
+  "Maldives": "Maldives",
+  "Mali": "Mali",
+  "Marshall Islands": "Marshall Islands",
+  "Mauritius": "Mauritius",
+  "Micronesia (Federated States of)": "Micronesia (country)",
+  "Mozambique": "Mozambique",
+  "Myanmar": "Myanmar",
+  "Nepal": "Nepal",
+  "New Caledonia": "New Caledonia",
+  "Niger": "Niger",
+  "Nigeria": "Nigeria",
+  "Niue": "Niue",
+  "Palau": "Palau",
+  "Papua New Guinea": "Papua New Guinea",
+  "Philippines": "Philippines",
+  "Rwanda": "Rwanda",
+  "Samoa": "Samoa",
+  "Sao Tome and Principe": "Sao Tome and Principe",
+  "Senegal": "Senegal",
+  "Seychelles": "Seychelles",
+  "Sierra Leone": "Sierra Leone",
+  "Solomon Islands": "Solomon Islands",
+  "South Sudan": "South Sudan",
+  "Sri Lanka": "Sri Lanka",
+  "Sudan": "Sudan",
+  "Suriname": "Suriname",
+  "Thailand": "Thailand",
+  "Timor-Leste": "East Timor",
+  "Togo": "Togo",
+  "Tonga": "Tonga",
+  "Trinidad and Tobago": "Trinidad and Tobago",
+  "Tuvalu": "Tuvalu",
+  "Uganda": "Uganda",
+  "United Republic of Tanzania": "Tanzania",
+  "Vanuatu": "Vanuatu",
+  "Viet Nam": "Vietnam",
+  "Wallis and Futuna": "Wallis and Futuna",
+  "Yemen": "Yemen",
+  "Zambia": "Zambia",
+  "Zimbabwe": "Zimbabwe"
+}
\ No newline at end of file
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.meta.yml b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.meta.yml
new file mode 100644
index 00000000000..a063cb71708
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.meta.yml
@@ -0,0 +1,73 @@
+# NOTE: To learn more about the fields, hover over their names.
+definitions:
+  common:
+    presentation:
+      topic_tags:
+        - Global Health
+        # - Neglected Tropical Diseases # Need to add once the tag is upgraded to topic tag and we have a slug for the page
+    processing_level: minor
+# Learn more about the available fields:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+dataset:
+  update_period_days: 365
+
+  title: Preventive Chemotherapy (PC) Data Portal
+tables:
+  lymphatic_filariasis:
+    variables:
+      current_status_of_mda:
+        title: Current status of MDA
+        unit: ""
+      number_of_ius_covered:
+        title: Number of implementation units covered
+        unit: ""
+        display:
+          numDecimalPlaces: 0
+      geographical_coverage__pct:
+        title: Geographical coverage (%)
+        description_short: "Geographical coverage of preventive chemotherapy for [lymphatic filariasis](#dod:lymphatic-filariasis)."
+        unit: "%"
+        display:
+          numDecimalPlaces: 1
+      total_population_of_ius:
+        title: Total population of implementation units
+        description_short: "Total population of implementation units. Implementation units are defined as geographic areas where health interventions are specifically designed, executed, and monitored to control or eliminate neglected tropical diseases effectively."
+        unit: "people"
+        display:
+          numDecimalPlaces: 0
+      reported_number_of_people_treated:
+        title: Reported number of people treated
+        description_short: "Reported number of people treated for [lymphatic filariasis](#dod:lymphatic-filariasis)."
+        unit: "people"
+        display:
+          numDecimalPlaces: 0
+      programme__drug__coverage__pct:
+        title: Programme coverage
+        description_short: "Programme coverage for preventive chemotherapy for [lymphatic filariasis](#dod:lymphatic-filariasis). The share of people who require preventive chemotherapy for [lymphatic filariasis](#dod:lymphatic-filariasis) who actually receive it."
+        unit: "%"
+        short_unit: "%"
+        display:
+          numDecimalPlaces: 3
+  lymphatic_filariasis_national:
+    variables:
+      national_coverage__pct:
+        title: National coverage
+        description_short: "Drug coverage out of estimated population who require it."
+        unit: "%"
+        short_unit: "%"
+        display:
+          numDecimalPlaces: 1
+      population_requiring_pc_for_lf:
+        title: Population requiring preventive chemotherapy for lymphatic filariasis
+        description_short: "Population requiring preventive chemotherapy for [lymphatic filariasis](#dod:lymphatic-filariasis)."
+        unit: "people"
+        display:
+          numDecimalPlaces: 0
+      estimated_number_of_people_treated:
+        title: Estimated number of people treated
+        description_short: "Estimated number of people treated for [lymphatic filariasis](#dod:lymphatic-filariasis)."
+        description_processing: To calculate the estimated number of people treated, we multiply the population requiring preventive chemotherapy by the national coverage.
+        unit: "people"
+        display:
+          numDecimalPlaces: 0
+        processing_level: major
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
new file mode 100644
index 00000000000..9226808e2c0
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
@@ -0,0 +1,84 @@
+"""Load a meadow dataset and create a garden dataset."""
+
+from typing import List
+
+import numpy as np
+from owid.catalog import Dataset, Table
+from owid.catalog import processing as pr
+
+from etl.data_helpers import geo
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+REGIONS = ["North America", "South America", "Europe", "Africa", "Asia", "Oceania", "World"]
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load meadow dataset.
+    ds_meadow = paths.load_dataset("lymphatic_filariasis")
+    # Load regions dataset.
+    ds_regions = paths.load_dataset("regions")
+
+    # Read table from meadow dataset.
+    tb = ds_meadow["lymphatic_filariasis"].reset_index()
+    #
+    # Harmonize countries
+    tb = geo.harmonize_countries(df=tb, countries_file=paths.country_mapping_path)
+    # Process data.
+    # There are separate rows for each combination of drugs used, but this is duplicate for `national_coverage__pct`, so we will extract this column and create a separate table for it
+
+    # In many cases the are two identical values for 'national_coverage__pct', for each country year, this de-duplicates them
+    tb_nat = (
+        tb[["country", "year", "national_coverage__pct", "population_requiring_pc_for_lf"]].copy().drop_duplicates()
+    )
+    tb_nat["estimated_number_of_people_treated"] = (
+        tb_nat["national_coverage__pct"] * tb_nat["population_requiring_pc_for_lf"] / 100
+    )
+    tb_nat = add_regions_to_selected_vars(
+        tb_nat,
+        cols=["country", "year", "population_requiring_pc_for_lf", "estimated_number_of_people_treated"],
+        ds_regions=ds_regions,
+    )
+    # There are a few cases with two values for some country-year combos, here we drop them because we are not sure which is the correct value
+    tb_nat = tb_nat.drop_duplicates(subset=["country", "year"])
+    tb_nat.metadata.short_name = "lymphatic_filariasis_national"
+    # Drop `national_coverage_pct` from tb
+    tb = tb.drop(
+        columns=["national_coverage__pct", "population_requiring_pc_for_lf", "region", "country_code", "mapping_status"]
+    )
+    # Replace "No data" with NaN
+    tb = tb.replace("No data", np.nan)
+    # Format the tables
+    tb = tb.format(["country", "year", "type_of_mda"])
+    tb_nat = tb_nat.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, tb_nat], check_variables_metadata=True, default_metadata=ds_meadow.metadata
+    )
+
+    # Save changes in the new garden dataset.
+    ds_garden.save()
+
+
+def add_regions_to_selected_vars(tb: Table, cols: List[str], ds_regions: Dataset) -> Table:
+    """
+    Adding regions to selected variables in the table and then combining the table with the original table
+    """
+
+    tb_agg = geo.add_regions_to_table(
+        tb[cols],
+        regions=REGIONS,
+        ds_regions=ds_regions,
+        min_num_values_per_year=1,
+    )
+    tb_agg = tb_agg[tb_agg["country"].isin(REGIONS)]
+    tb = pr.concat([tb, tb_agg], axis=0, ignore_index=True)
+
+    return tb
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.countries.json b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.countries.json
new file mode 100644
index 00000000000..0a002795c3e
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.countries.json
@@ -0,0 +1,60 @@
+{
+  "Angola": "Angola",
+  "Benin": "Benin",
+  "Botswana": "Botswana",
+  "Brazil": "Brazil",
+  "Burkina Faso": "Burkina Faso",
+  "Burundi": "Burundi",
+  "Cambodia": "Cambodia",
+  "Cameroon": "Cameroon",
+  "Central African Republic": "Central African Republic",
+  "Chad": "Chad",
+  "China": "China",
+  "Congo": "Congo",
+  "C\u00f4te d'Ivoire": "Cote d'Ivoire",
+  "Democratic Republic of the Congo": "Democratic Republic of Congo",
+  "Dominican Republic": "Dominican Republic",
+  "Egypt": "Egypt",
+  "Equatorial Guinea": "Equatorial Guinea",
+  "Eritrea": "Eritrea",
+  "Eswatini": "Eswatini",
+  "Ethiopia": "Ethiopia",
+  "Gabon": "Gabon",
+  "Gambia": "Gambia",
+  "Ghana": "Ghana",
+  "Guinea": "Guinea",
+  "Guinea-Bissau": "Guinea-Bissau",
+  "Indonesia": "Indonesia",
+  "Iraq": "Iraq",
+  "Kenya": "Kenya",
+  "Lao People's Democratic Republic": "Laos",
+  "Liberia": "Liberia",
+  "Libya": "Libya",
+  "Madagascar": "Madagascar",
+  "Malawi": "Malawi",
+  "Mali": "Mali",
+  "Mauritania": "Mauritania",
+  "Mozambique": "Mozambique",
+  "Namibia": "Namibia",
+  "Niger": "Niger",
+  "Nigeria": "Nigeria",
+  "Oman": "Oman",
+  "Philippines": "Philippines",
+  "Rwanda": "Rwanda",
+  "Sao Tome and Principe": "Sao Tome and Principe",
+  "Saudi Arabia": "Saudi Arabia",
+  "Senegal": "Senegal",
+  "Sierra Leone": "Sierra Leone",
+  "Somalia": "Somalia",
+  "South Africa": "South Africa",
+  "South Sudan": "South Sudan",
+  "Sudan": "Sudan",
+  "Suriname": "Suriname",
+  "Togo": "Togo",
+  "Uganda": "Uganda",
+  "United Republic of Tanzania": "Tanzania",
+  "Venezuela (Bolivarian Republic of)": "Venezuela",
+  "Yemen": "Yemen",
+  "Zambia": "Zambia",
+  "Zimbabwe": "Zimbabwe"
+}
\ No newline at end of file
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.meta.yml b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.meta.yml
new file mode 100644
index 00000000000..f54f6863468
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.meta.yml
@@ -0,0 +1,59 @@
+# NOTE: To learn more about the fields, hover over their names.
+definitions:
+  common:
+    presentation:
+      topic_tags:
+        - Global Health
+        # - Neglected Tropical Diseases # Need to add once the tag is upgraded to topic tag and we have a slug for the page
+    processing_level: minor
+# Learn more about the available fields:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+dataset:
+  update_period_days: 365
+
+  title: Preventive Chemotherapy (PC) Data Portal
+tables:
+  schistosomiasis:
+    variables:
+      population_requiring_pc_for_sch_annually:
+        title: Population requiring preventive chemotherapy annually
+        description_short: "Population requiring preventive chemotherapy for schistosomiasis."
+        unit: "people"
+        display:
+          numDecimalPlaces: 0
+      sac_population_requiring_pc_for_sch_annually:
+        title: School-age children population requiring preventive chemotherapy annually
+        description_short: "School-age children population requiring preventive chemotherapy for schistosomiasis."
+        unit: "school-age children"
+        display:
+          numDecimalPlaces: 0
+      number_of_people_targeted:
+        title: Number of people targeted
+        description_short: "Number of people targeted for preventive chemotherapy for schistosomiasis."
+        unit: "people"
+        display:
+          numDecimalPlaces: 0
+      reported_number_of_people_treated:
+        title: Reported number of people treated
+        description_short: "Reported number of people treated for schistosomiasis."
+        unit: "people"
+        display:
+          numDecimalPlaces: 0
+      reported_number_of_sac_treated:
+        title: Reported number of school-age children treated
+        description_short: "Reported number of school-age children treated for schistosomiasis."
+        unit: "school-age children"
+        display:
+          numDecimalPlaces: 0
+      programme_coverage__pct:
+        title: Programme coverage
+        description_short: "Programme coverage for preventive chemotherapy for schistosomiasis."
+        unit: "%"
+        display:
+          numDecimalPlaces: 1
+      national_coverage__pct:
+        title: National coverage (%)
+        description_short: "Drug coverage out of estimated population who require it."
+        unit: "%"
+        display:
+          numDecimalPlaces: 1
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.py b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
new file mode 100644
index 00000000000..cc24350cbca
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
@@ -0,0 +1,48 @@
+"""Load a meadow dataset and create a garden dataset."""
+
+import numpy as np
+
+from etl.data_helpers import geo
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+REGIONS = ["North America", "South America", "Europe", "Africa", "Asia", "Oceania", "World"]
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load meadow dataset.
+    ds_meadow = paths.load_dataset("schistosomiasis")
+    # Load regions dataset.
+    ds_regions = paths.load_dataset("regions")
+    # Read table from meadow dataset.
+    tb = ds_meadow["schistosomiasis"].reset_index()
+
+    #
+    # Process data.
+    #
+    tb = geo.harmonize_countries(df=tb, countries_file=paths.country_mapping_path)
+    tb = tb.drop(columns=["region", "age_group", "country_code"])
+    tb = geo.add_regions_to_table(
+        tb,
+        regions=REGIONS,
+        ds_regions=ds_regions,
+        min_num_values_per_year=1,
+    )
+    # Replace regional values in percentage columns with NaN
+    tb.loc[tb["country"].isin(REGIONS), ["programme_coverage__pct", "national_coverage__pct"]] = np.nan
+    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()
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.countries.json b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.countries.json
new file mode 100644
index 00000000000..6ee04e62bde
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.countries.json
@@ -0,0 +1,140 @@
+{
+  "Afghanistan": "Afghanistan",
+  "American Samoa": "American Samoa",
+  "Angola": "Angola",
+  "Antigua and Barbuda": "Antigua and Barbuda",
+  "Argentina": "Argentina",
+  "Armenia": "Armenia",
+  "Azerbaijan": "Azerbaijan",
+  "Bahamas": "Bahamas",
+  "Bangladesh": "Bangladesh",
+  "Belize": "Belize",
+  "Benin": "Benin",
+  "Bhutan": "Bhutan",
+  "Bolivia (Plurinational State of)": "Bolivia",
+  "Botswana": "Botswana",
+  "Brazil": "Brazil",
+  "Brunei Darussalam": "Brunei",
+  "Burkina Faso": "Burkina Faso",
+  "Burundi": "Burundi",
+  "Cabo Verde": "Cape Verde",
+  "Cambodia": "Cambodia",
+  "Cameroon": "Cameroon",
+  "Central African Republic": "Central African Republic",
+  "Chad": "Chad",
+  "Chile": "Chile",
+  "China": "China",
+  "Colombia": "Colombia",
+  "Comoros": "Comoros",
+  "Congo": "Congo",
+  "Cook Islands": "Cook Islands",
+  "Costa Rica": "Costa Rica",
+  "Cuba": "Cuba",
+  "C\u00f4te d'Ivoire": "Cote d'Ivoire",
+  "Democratic People's Republic of Korea": "North Korea",
+  "Democratic Republic of the Congo": "Democratic Republic of Congo",
+  "Djibouti": "Djibouti",
+  "Dominica": "Dominica",
+  "Dominican Republic": "Dominican Republic",
+  "Ecuador": "Ecuador",
+  "Egypt": "Egypt",
+  "El Salvador": "El Salvador",
+  "Equatorial Guinea": "Equatorial Guinea",
+  "Eritrea": "Eritrea",
+  "Eswatini": "Eswatini",
+  "Ethiopia": "Ethiopia",
+  "Fiji": "Fiji",
+  "French Polynesia": "French Polynesia",
+  "Gabon": "Gabon",
+  "Gambia": "Gambia",
+  "Georgia": "Georgia",
+  "Ghana": "Ghana",
+  "Grenada": "Grenada",
+  "Guatemala": "Guatemala",
+  "Guinea": "Guinea",
+  "Guinea-Bissau": "Guinea-Bissau",
+  "Guyana": "Guyana",
+  "Haiti": "Haiti",
+  "Honduras": "Honduras",
+  "India": "India",
+  "Indonesia": "Indonesia",
+  "Iraq": "Iraq",
+  "Jamaica": "Jamaica",
+  "Jordan": "Jordan",
+  "Kenya": "Kenya",
+  "Kiribati": "Kiribati",
+  "Kyrgyzstan": "Kyrgyzstan",
+  "Lao People's Democratic Republic": "Laos",
+  "Lebanon": "Lebanon",
+  "Lesotho": "Lesotho",
+  "Liberia": "Liberia",
+  "Madagascar": "Madagascar",
+  "Malawi": "Malawi",
+  "Malaysia": "Malaysia",
+  "Maldives": "Maldives",
+  "Mali": "Mali",
+  "Marshall Islands": "Marshall Islands",
+  "Mauritania": "Mauritania",
+  "Mauritius": "Mauritius",
+  "Mexico": "Mexico",
+  "Micronesia (Federated States of)": "Micronesia (country)",
+  "Montenegro": "Montenegro",
+  "Mozambique": "Mozambique",
+  "Myanmar": "Myanmar",
+  "Namibia": "Namibia",
+  "Nauru": "Nauru",
+  "Nepal": "Nepal",
+  "New Caledonia": "New Caledonia",
+  "Nicaragua": "Nicaragua",
+  "Niger": "Niger",
+  "Nigeria": "Nigeria",
+  "Niue": "Niue",
+  "Pakistan": "Pakistan",
+  "Palau": "Palau",
+  "Panama": "Panama",
+  "Papua New Guinea": "Papua New Guinea",
+  "Paraguay": "Paraguay",
+  "Peru": "Peru",
+  "Philippines": "Philippines",
+  "Republic of Moldova": "Moldova",
+  "Romania": "Romania",
+  "Rwanda": "Rwanda",
+  "Saint Kitts and Nevis": "Saint Kitts and Nevis",
+  "Saint Lucia": "Saint Lucia",
+  "Saint Vincent and the Grenadines": "Saint Vincent and the Grenadines",
+  "Samoa": "Samoa",
+  "Sao Tome and Principe": "Sao Tome and Principe",
+  "Senegal": "Senegal",
+  "Serbia": "Serbia",
+  "Sierra Leone": "Sierra Leone",
+  "Solomon Islands": "Solomon Islands",
+  "Somalia": "Somalia",
+  "South Africa": "South Africa",
+  "South Sudan": "South Sudan",
+  "Sri Lanka": "Sri Lanka",
+  "Sudan": "Sudan",
+  "Suriname": "Suriname",
+  "Syrian Arab Republic": "Syria",
+  "Tajikistan": "Tajikistan",
+  "Thailand": "Thailand",
+  "Timor-Leste": "East Timor",
+  "Togo": "Togo",
+  "Tonga": "Tonga",
+  "Trinidad and Tobago": "Trinidad and Tobago",
+  "Tunisia": "Tunisia",
+  "Turkey": "Turkey",
+  "Tuvalu": "Tuvalu",
+  "Uganda": "Uganda",
+  "United Republic of Tanzania": "Tanzania",
+  "Uruguay": "Uruguay",
+  "Uzbekistan": "Uzbekistan",
+  "Vanuatu": "Vanuatu",
+  "Venezuela (Bolivarian Republic of)": "Venezuela",
+  "Viet Nam": "Vietnam",
+  "Wallis and Futuna": "Wallis and Futuna",
+  "Yemen": "Yemen",
+  "Zambia": "Zambia",
+  "Zimbabwe": "Zimbabwe",
+  "Malasya": "Malaysia",
+  "The former Yugoslav Republic of Macedonia": "North Macedonia"
+}
\ No newline at end of file
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.meta.yml b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.meta.yml
new file mode 100644
index 00000000000..42d04ce1f1a
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.meta.yml
@@ -0,0 +1,103 @@
+# NOTE: To learn more about the fields, hover over their names.
+definitions:
+  common:
+    presentation:
+      topic_tags:
+        - Global Health
+        # - Neglected Tropical Diseases # Need to add once the tag is upgraded to topic tag and we have a slug for the page
+    processing_level: minor
+# Learn more about the available fields:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+dataset:
+  update_period_days: 365
+
+  title: Preventive Chemotherapy (PC) Data Portal
+tables:
+  soil_transmitted_helminthiases_pre_sac:
+    variables:
+      number_targeted:
+        title: Number of pre-school age children targeted
+        description_short: "Number of pre-school age children targeted for preventive chemotherapy for soil transmitted helminthiases."
+        unit: "pre-school age children"
+        display:
+          numDecimalPlaces: 0
+      reported_number_treated:
+        title: Reported number of pre-school age children treated
+        description_short: "Reported number of pre-school age children treated for soil transmitted helminthiases."
+        unit: "pre-school age children"
+        display:
+          numDecimalPlaces: 0
+      programme_coverage__pct:
+        title: Programme coverage of pre-school age children
+        description_short: "Programme coverage of pre-school age children for preventive chemotherapy for soil transmitted helminthiases."
+        unit: "%"
+        short_unit: "%"
+        display:
+          numDecimalPlaces: 1
+  soil_transmitted_helminthiases_national_pre_sac:
+    variables:
+      national_coverage__pre_sac__pct:
+        title: National coverage pre-school age children
+        description_short: "Drug coverage out of estimated population of pre-school age children who require it."
+        unit: "%"
+        short_unit: "%"
+        display:
+          numDecimalPlaces: 1
+      population_requiring_pc_for_sth__pre_sac:
+        title: Population of pre-school age children requiring preventive chemotherapy
+        description_short: "Population of pre-school age children requiring preventive chemotherapy for soil transmitted helminthiases."
+        unit: "pre-school age children"
+        display:
+          numDecimalPlaces: 0
+      estimated_number_of_pre_sac_treated:
+        title: Estimated number of pre-school age children treated
+        description_short: "Estimated number of pre-school age children treated for soil transmitted helminthiases."
+        description_processing: To calculate the estimated number of people treated, we multiply the population requiring preventive chemotherapy by the national coverage.
+        unit: "pre-school age children"
+        processing_level: minor
+        display:
+          numDecimalPlaces: 0
+  soil_transmitted_helminthiases_sac:
+    variables:
+      number_targeted:
+        title: Number of school age children targeted
+        unit: "school age children"
+        description_short: "Number of school age children targeted for preventive chemotherapy for soil transmitted helminthiases."
+        display:
+          numDecimalPlaces: 0
+      reported_number_treated:
+        title: Reported number of school age children treated
+        unit: "school age children"
+        description_short: "Reported number of school age children treated for soil transmitted helminthiases."
+        display:
+          numDecimalPlaces: 0
+      programme_coverage__pct:
+        title: Programme coverage of school age children
+        description_short: "Programme coverage of school age children for preventive chemotherapy for soil transmitted helminthiases."
+        unit: "%"
+        short_unit: "%"
+        display:
+          numDecimalPlaces: 1
+  soil_transmitted_helminthiases_national_sac:
+    variables:
+      national_coverage__sac__pct:
+        title: National coverage school age children
+        unit: "%"
+        description_short: "Drug coverage out of estimated population of school age children who require it."
+        short_unit: "%"
+        display:
+          numDecimalPlaces: 1
+      population_requiring_pc_for_sth__sac:
+        title: Population of school age children requiring preventive chemotherapy for soil transmitted helminthiases
+        unit: "school age children"
+        description_short: "Population of school age children requiring preventive chemotherapy for soil transmitted helminthiases."
+        display:
+          numDecimalPlaces: 0
+      estimated_number_of_sac_treated:
+        title: Estimated number of pre-school age children treated
+        description_short: "Estimated number of pre-school age children treated for soil transmitted helminthiases."
+        description_processing: To calculate the estimated number of people treated, we multiply the population requiring preventive chemotherapy by the national coverage.
+        unit: "pre-school age children"
+        processing_level: minor
+        display:
+          numDecimalPlaces: 0
diff --git a/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
new file mode 100644
index 00000000000..3227f1d1de7
--- /dev/null
+++ b/etl/steps/data/garden/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
@@ -0,0 +1,136 @@
+"""Load a meadow dataset and create a garden dataset."""
+
+from typing import List
+
+from owid.catalog import Dataset, Table
+from owid.catalog import processing as pr
+
+from etl.data_helpers import geo
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+REGIONS = ["North America", "South America", "Europe", "Africa", "Asia", "Oceania", "World"]
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load meadow dataset.
+    ds_meadow = paths.load_dataset("soil_transmitted_helminthiases")
+    # Load regions dataset.
+    ds_regions = paths.load_dataset("regions")
+    # Read table from meadow dataset.
+    tb = ds_meadow["soil_transmitted_helminthiases"].reset_index()
+
+    #
+    # Process data.
+    #
+    tb = geo.harmonize_countries(df=tb, countries_file=paths.country_mapping_path)
+    # Split out the national coverage variables into separate tables, SAC = school age children, pre-SAC = pre-school age children
+    tb_nat_sac = (
+        tb[["country", "year", "national_coverage__sac__pct", "population_requiring_pc_for_sth__sac"]]
+        .copy()
+        .drop_duplicates()
+        .dropna(subset=["national_coverage__sac__pct"])
+        .drop_duplicates(subset=["country", "year"])
+    )
+    # Calculating the number of SAC treated
+    tb_nat_sac["estimated_number_of_sac_treated"] = (
+        tb["national_coverage__sac__pct"] * tb["population_requiring_pc_for_sth__sac"] / 100
+    )
+    tb_nat_pre_sac = (
+        tb[["country", "year", "national_coverage__pre_sac__pct", "population_requiring_pc_for_sth__pre_sac"]]
+        .copy()
+        .drop_duplicates()
+        .dropna(subset=["national_coverage__pre_sac__pct"])
+        .drop_duplicates(subset=["country", "year"])
+    )
+    # Calculating the number of pre-SAC treated
+    tb_nat_pre_sac["estimated_number_of_pre_sac_treated"] = (
+        tb["national_coverage__pre_sac__pct"] * tb["population_requiring_pc_for_sth__pre_sac"] / 100
+    )
+    # Adding region aggregates to selected variables
+    tb_nat_sac = add_regions_to_selected_vars(
+        tb_nat_sac,
+        cols=["country", "year", "population_requiring_pc_for_sth__sac", "estimated_number_of_sac_treated"],
+        ds_regions=ds_regions,
+    )
+    tb_nat_pre_sac = add_regions_to_selected_vars(
+        tb_nat_pre_sac,
+        cols=["country", "year", "population_requiring_pc_for_sth__pre_sac", "estimated_number_of_pre_sac_treated"],
+        ds_regions=ds_regions,
+    )
+    #  Splitting the table into two tables for pre-sac and sac
+    age_groups = ["pre_sac", "sac"]
+    tbs = {}
+    for age_group in age_groups:
+        cols = [
+            "country",
+            "year",
+            f"drug_combination__{age_group}",
+            f"number_of_{age_group}_targeted",
+            f"reported_number_of_{age_group}_treated",
+            f"programme_coverage__{age_group}__pct",
+        ]
+        tbs[f"tb_{age_group}"] = tb[cols].copy()
+        tbs[f"tb_{age_group}"].columns = [
+            "country",
+            "year",
+            "drug_combination",
+            "number_targeted",
+            "reported_number_treated",
+            "programme_coverage__pct",
+        ]
+        tbs[f"tb_{age_group}"] = tbs[f"tb_{age_group}"].dropna(
+            subset=[
+                "drug_combination",
+                "number_targeted",
+                "reported_number_treated",
+                "programme_coverage__pct",
+            ],
+        )
+        # There are some rows which seem to be erroneous duplicates, we will drop these e.g. Burundi 2015 for sac
+        tbs[f"tb_{age_group}"] = tbs[f"tb_{age_group}"].drop_duplicates(subset=["country", "year", "drug_combination"])
+
+    tb_pre_sac = tbs["tb_pre_sac"]
+    tb_sac = tbs["tb_sac"]
+
+    tb_sac = tb_sac.format(["country", "year", "drug_combination"], short_name="soil_transmitted_helminthiases_sac")
+    tb_pre_sac = tb_pre_sac.format(
+        ["country", "year", "drug_combination"], short_name="soil_transmitted_helminthiases_pre_sac"
+    )
+    tb_nat_sac = tb_nat_sac.format(["country", "year"], short_name="soil_transmitted_helminthiases_national_sac")
+    tb_nat_pre_sac = tb_nat_pre_sac.format(
+        ["country", "year"], short_name="soil_transmitted_helminthiases_national_pre_sac"
+    )
+    # Save outputs.
+    #
+    # Create a new garden dataset with the same metadata as the meadow dataset.
+    ds_garden = create_dataset(
+        dest_dir,
+        tables=[tb_sac, tb_pre_sac, tb_nat_sac, tb_nat_pre_sac],
+        check_variables_metadata=True,
+        default_metadata=ds_meadow.metadata,
+    )
+
+    # Save changes in the new garden dataset.
+    ds_garden.save()
+
+
+def add_regions_to_selected_vars(tb: Table, cols: List[str], ds_regions: Dataset) -> Table:
+    """
+    Adding regions to selected variables in the table and then combining the table with the original table
+    """
+
+    tb_agg = geo.add_regions_to_table(
+        tb[cols],
+        regions=REGIONS,
+        ds_regions=ds_regions,
+        min_num_values_per_year=1,
+    )
+    tb_agg = tb_agg[tb_agg["country"].isin(REGIONS)]
+    tb = pr.concat([tb, tb_agg], axis=0, ignore_index=True)
+
+    return tb
diff --git a/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py b/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
new file mode 100644
index 00000000000..d66c00738d0
--- /dev/null
+++ b/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
@@ -0,0 +1,29 @@
+"""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("lymphatic_filariasis")
+
+    # Read table from garden dataset.
+    tb = ds_garden["lymphatic_filariasis"]
+    tb_nat = ds_garden["lymphatic_filariasis_national"]
+
+    #
+    # Save outputs.
+    #
+    # Create a new grapher dataset with the same metadata as the garden dataset.
+    ds_grapher = create_dataset(
+        dest_dir, tables=[tb, tb_nat], check_variables_metadata=True, default_metadata=ds_garden.metadata
+    )
+
+    # Save changes in the new grapher dataset.
+    ds_grapher.save()
diff --git a/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/schistosomiasis.py b/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
new file mode 100644
index 00000000000..22d80e83d42
--- /dev/null
+++ b/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
@@ -0,0 +1,32 @@
+"""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("schistosomiasis")
+
+    # Read table from garden dataset.
+    tb = ds_garden["schistosomiasis"]
+
+    #
+    # Process data.
+    #
+
+    #
+    # 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()
diff --git a/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py b/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
new file mode 100644
index 00000000000..c4a5367eea0
--- /dev/null
+++ b/etl/steps/data/grapher/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
@@ -0,0 +1,33 @@
+"""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("soil_transmitted_helminthiases")
+
+    # Read table from garden dataset.
+    tb_pre_sac = ds_garden["soil_transmitted_helminthiases_pre_sac"]
+    tb_sac = ds_garden["soil_transmitted_helminthiases_sac"]
+    tb_nat_pre_sac = ds_garden["soil_transmitted_helminthiases_national_sac"]
+    tb_nat_sac = ds_garden["soil_transmitted_helminthiases_national_pre_sac"]
+    #
+    # Save outputs.
+    #
+    # Create a new grapher dataset with the same metadata as the garden dataset.
+    ds_grapher = create_dataset(
+        dest_dir,
+        tables=[tb_pre_sac, tb_sac, tb_nat_pre_sac, tb_nat_sac],
+        check_variables_metadata=True,
+        default_metadata=ds_garden.metadata,
+    )
+
+    # Save changes in the new grapher dataset.
+    ds_grapher.save()
diff --git a/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py b/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
new file mode 100644
index 00000000000..1118bfa9fe2
--- /dev/null
+++ b/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
@@ -0,0 +1,36 @@
+"""Load a snapshot and create a meadow dataset."""
+
+import numpy as np
+
+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("lymphatic_filariasis.xlsx")
+
+    # Load data from snapshot.
+    tb = snap.read()
+
+    #
+    # Process data.
+    #
+    tb = tb.rename(columns={"Country": "country", "Year": "year", "Type of MDA": "type_of_mda"}, errors="raise")
+    tb = tb.replace("No data", np.nan)
+    # Ensure all columns are snake-case, set an appropriate index, and sort conveniently.
+    tb = tb.format(["country", "year", "type_of_mda"])
+
+    #
+    # 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()
diff --git a/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/schistosomiasis.py b/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
new file mode 100644
index 00000000000..2902af5f166
--- /dev/null
+++ b/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
@@ -0,0 +1,53 @@
+"""Load a snapshot and create a meadow dataset."""
+
+import numpy as np
+from owid.catalog import processing as pr
+
+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("schistosomiasis.xlsx")
+
+    # Load data from snapshot.
+    tb = snap.read()
+
+    #
+    # Process data.
+    #
+    # Values to replace with NaN
+    values_to_replace = [
+        "To be defined",
+        "No PC required",
+        "Surveillance",
+        " ",
+    ]  # List of values you want to replace with NaN
+
+    # Columns in which to replace the values
+    columns_to_check = [
+        "Population requiring PC for SCH annually",
+        "SAC population requiring PC for SCH annually",
+        "Programme coverage (%)",
+    ]
+
+    # Replacing the values
+    tb[columns_to_check] = tb[columns_to_check].replace(values_to_replace, np.nan)
+    tb["Programme coverage (%)"] = tb["Programme coverage (%)"].astype(float)
+    # Ensure all columns are snake-case, set an appropriate index, and sort conveniently.
+    tb = tb.format(["country", "year"])
+
+    #
+    # 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()
diff --git a/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py b/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
new file mode 100644
index 00000000000..4cafdba50c6
--- /dev/null
+++ b/etl/steps/data/meadow/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
@@ -0,0 +1,60 @@
+"""Load a snapshot and create a meadow dataset."""
+
+
+import numpy as np
+import pandas as pd
+from owid.catalog import processing as pr
+
+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("soil_transmitted_helminthiases.xlsx")
+
+    # Load data from snapshot.
+    tb = snap.read()
+    tb = tb.drop(columns="country_code")
+
+    #
+    # Process data.
+    #
+    values_to_replace = [
+        "To be defined",
+        "No PC required",
+        "No data",
+        "No data available",
+        " ",
+    ]  # List of values you want to replace with NaN
+
+    # Columns in which to replace the values - so that they can be floats rather than objects
+    columns_to_check = [
+        "Population requiring PC for STH, Pre-SAC",
+        "Programme coverage, Pre-SAC (%)",
+        "Population requiring PC for STH, SAC",
+        "Programme coverage, SAC (%)",
+    ]
+
+    # Replacing the values
+    tb[columns_to_check] = tb[columns_to_check].replace(values_to_replace, np.nan)
+
+    # Ensure all columns are snake-case, set an appropriate index, and sort conveniently.
+    cols = ["country", "year", "Drug combination, Pre-SAC", "Drug combination, SAC"]
+    # For some reason format doesn't work here
+    # tb = tb.format(cols)
+    tb = tb.set_index(cols, verify_integrity=True)
+
+    #
+    # 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()
diff --git a/snapshots/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py b/snapshots/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
new file mode 100644
index 00000000000..cd0edc09d9d
--- /dev/null
+++ b/snapshots/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.py
@@ -0,0 +1,24 @@
+"""Script to create a snapshot of dataset."""
+
+from pathlib import Path
+
+import click
+
+from etl.snapshot import Snapshot
+
+# Version for current snapshot dataset.
+SNAPSHOT_VERSION = Path(__file__).parent.name
+
+
+@click.command()
+@click.option("--upload/--skip-upload", default=True, type=bool, help="Upload dataset to Snapshot")
+def main(upload: bool) -> None:
+    # Create a new snapshot.
+    snap = Snapshot(f"neglected_tropical_diseases/{SNAPSHOT_VERSION}/lymphatic_filariasis.xlsx")
+
+    # Download data from source, add file to DVC and upload to S3.
+    snap.create_snapshot(upload=upload)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/snapshots/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.xlsx.dvc b/snapshots/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.xlsx.dvc
new file mode 100644
index 00000000000..5aff99abae2
--- /dev/null
+++ b/snapshots/neglected_tropical_diseases/2024-05-02/lymphatic_filariasis.xlsx.dvc
@@ -0,0 +1,33 @@
+# Learn more at:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+meta:
+  origin:
+    # Data product / Snapshot
+    title: Preventive Chemotherapy (PC) Data Portal - Lymphatic filariasis
+    description: |-
+      Progress towards achieving the Roadmap targets for control and elimination of the Neglected Tropical Diseases.
+
+    date_published: "2024-03-14"
+    title_snapshot: PCT Databank - Lymphatic filariasis
+    description_snapshot: |-
+      Lymphatic filariasis situational analyses, core implementation data and trend data are provided through direct access to the interactive reports.
+
+    # Citation
+    producer: World Health Organization
+    citation_full: |-
+      PCT Databank - Lymphatic filariasis, World Health Organization (2024)
+    attribution_short: WHO
+    # Files
+    url_main: https://www.who.int/teams/control-of-neglected-tropical-diseases/data-platforms/pct-databank/lymphatic-filariasis
+    url_download: https://apps.who.int/neglected_diseases/ntddata/data/LF_data.xlsx?ua=1
+    date_accessed: 2024-05-02
+
+    # License
+    license:
+      name: CC BY-NC-SA 3.0 IGO
+      url: https://www.who.int/about/policies/publishing/copyright
+
+outs:
+  - md5: 698b0341d985d5a568893f63dee4d5bd
+    size: 134496
+    path: lymphatic_filariasis.xlsx
diff --git a/snapshots/neglected_tropical_diseases/2024-05-02/schistosomiasis.py b/snapshots/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
new file mode 100644
index 00000000000..3abc647e36c
--- /dev/null
+++ b/snapshots/neglected_tropical_diseases/2024-05-02/schistosomiasis.py
@@ -0,0 +1,24 @@
+"""Script to create a snapshot of dataset."""
+
+from pathlib import Path
+
+import click
+
+from etl.snapshot import Snapshot
+
+# Version for current snapshot dataset.
+SNAPSHOT_VERSION = Path(__file__).parent.name
+
+
+@click.command()
+@click.option("--upload/--skip-upload", default=True, type=bool, help="Upload dataset to Snapshot")
+def main(upload: bool) -> None:
+    # Create a new snapshot.
+    snap = Snapshot(f"neglected_tropical_diseases/{SNAPSHOT_VERSION}/schistosomiasis.xlsx")
+
+    # Download data from source, add file to DVC and upload to S3.
+    snap.create_snapshot(upload=upload)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/snapshots/neglected_tropical_diseases/2024-05-02/schistosomiasis.xlsx.dvc b/snapshots/neglected_tropical_diseases/2024-05-02/schistosomiasis.xlsx.dvc
new file mode 100644
index 00000000000..d8302a945f7
--- /dev/null
+++ b/snapshots/neglected_tropical_diseases/2024-05-02/schistosomiasis.xlsx.dvc
@@ -0,0 +1,33 @@
+# Learn more at:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+meta:
+  origin:
+    # Data product / Snapshot
+    title: Preventive Chemotherapy (PC) Data Portal - Schistosomiasis
+    description: |-
+      Progress towards achieving the Roadmap targets for control and elimination of the Neglected Tropical Diseases.
+
+    date_published: "2024-03-14"
+    title_snapshot: PCT Databank - Schistosomiasis
+    description_snapshot: |-
+      Schistosomiasis situational analyses, core implementation data and trend data are provided through direct access to the interactive reports.
+
+    # Citation
+    producer: World Health Organization
+    citation_full: |-
+      PCT Databank - Schistosomiasis,  World Health Organization (2024)
+    attribution_short: WHO
+    # Files
+    url_main: https://www.who.int/teams/control-of-neglected-tropical-diseases/data-platforms/pct-databank/schistosomiasis
+    url_download: https://apps.who.int/neglected_diseases/ntddata/data/SCH_data.xlsx?ua=1
+    date_accessed: 2024-05-02
+
+    # License
+    license:
+      name: CC BY-NC-SA 3.0 IGO
+      url: https://www.who.int/about/policies/publishing/copyright
+
+outs:
+  - md5: b8e16cc7fb3aec5f8cdae5466123d914
+    size: 87864
+    path: schistosomiasis.xlsx
diff --git a/snapshots/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py b/snapshots/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
new file mode 100644
index 00000000000..205115749a0
--- /dev/null
+++ b/snapshots/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.py
@@ -0,0 +1,24 @@
+"""Script to create a snapshot of dataset."""
+
+from pathlib import Path
+
+import click
+
+from etl.snapshot import Snapshot
+
+# Version for current snapshot dataset.
+SNAPSHOT_VERSION = Path(__file__).parent.name
+
+
+@click.command()
+@click.option("--upload/--skip-upload", default=True, type=bool, help="Upload dataset to Snapshot")
+def main(upload: bool) -> None:
+    # Create a new snapshot.
+    snap = Snapshot(f"neglected_tropical_diseases/{SNAPSHOT_VERSION}/soil_transmitted_helminthiases.xlsx")
+
+    # Download data from source, add file to DVC and upload to S3.
+    snap.create_snapshot(upload=upload)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/snapshots/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.xlsx.dvc b/snapshots/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.xlsx.dvc
new file mode 100644
index 00000000000..35ee86ddc23
--- /dev/null
+++ b/snapshots/neglected_tropical_diseases/2024-05-02/soil_transmitted_helminthiases.xlsx.dvc
@@ -0,0 +1,33 @@
+# Learn more at:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+meta:
+  origin:
+    # Data product / Snapshot
+    title: Preventive Chemotherapy (PC) Data Portal - Soil-transmitted helminthiases
+    description: |-
+      Progress towards achieving the Roadmap targets for control and elimination of the Neglected Tropical Diseases.
+
+    date_published: "2024-03-14"
+    title_snapshot: PCT Databank - Soil-transmitted helminthiases
+    description_snapshot: |-
+      Soil-transmitted helminthiases situational analyses, core implementation data and trend data are provided through direct access to the interactive reports.
+
+    # Citation
+    producer: World Health Organization
+    citation_full: |-
+      PCT Databank - Soil-transmitted helminthiases, World Health Organization (2024)
+    attribution_short: WHO
+    # Files
+    url_main: https://www.who.int/teams/control-of-neglected-tropical-diseases/data-platforms/pct-databank/soil-transmitted-helminthiases
+    url_download: https://apps.who.int/neglected_diseases/ntddata/data/STH_data.xlsx?ua=1
+    date_accessed: 2024-05-02
+
+    # License
+    license:
+      name: CC BY-NC-SA 3.0 IGO
+      url: https://www.who.int/about/policies/publishing/copyright
+
+outs:
+  - md5: ed7074d412dea543f937987eeeb62e0f
+    size: 328507
+    path: soil_transmitted_helminthiases.xlsx