68 datasets found
  1. Leading diseases Philippines 2021

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Leading diseases Philippines 2021 [Dataset]. https://www.statista.com/statistics/1118585/philippines-leading-cause-morbidity-by-disease/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Philippines
    Description

    In 2021, the leading illness in the Philippines was acute respiratory infection, with approximately 598,591 people diagnosed with this disease. This was followed by hypertension and animal bites. The morbidity rate of acute respiratory infection per hundred thousand population in the Philippines was at nearly 543.2 in that year.

  2. m

    Philippine Dengue Cases

    • data.mendeley.com
    Updated Nov 14, 2022
    + more versions
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    SAMUEL JOHN PARREÑO (2022). Philippine Dengue Cases [Dataset]. http://doi.org/10.17632/rbr7mjgpy5.3
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    Dataset updated
    Nov 14, 2022
    Authors
    SAMUEL JOHN PARREÑO
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    Dengue is a viral disease spread by Aedes aegypti mosquitoes. It is a problem in many tropical and subtropical parts of the world including Africa, Southeast Asia, and South America. In the Philippines, the viral disease is still endemic in all regions wherein annual cases have ranged from 200,000 to 400,000.

    In this dataset, the weekly cumulative confirmed cases of Dengue in the Philippines from January 1, 2017 to October 8, 2022 were collected from the Philippine Department of Health website. The Excel file has three sheets: Sheet 1 contains the raw data that was extracted from the DOH website; Sheet 2 contains the raw, computed (Δ(X_n-X_(n-1))), and imputed data that were used in building the ARIMA-GARCH and HW models; and, Sheet 3 contains the forecasts from the models considered.

    The data are useful as they as they can be used to train predictive models that can produce short-term forecasts of Dengue cases in the Philippines. These data can provide dynamic information to health officials and other concerned departments and agencies for surveillance, analysis, policy making, and decision making. The data are reusable and can be used to further explore the dengue cases in the Philippines.

  3. Leading causes of death Philippines 2024, by disease

    • statista.com
    • thefarmdosupply.com
    Updated Sep 16, 2025
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    Statista (2025). Leading causes of death Philippines 2024, by disease [Dataset]. https://www.statista.com/statistics/1120528/philippines-leading-causes-mortality-by-disease/
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    Dataset updated
    Sep 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Philippines
    Description

    Preliminary figures for 2024 indicated that ischaemic heart disease was the leading cause of death in the Philippines. The number of people who died from this illness was estimated at 129.000. Following this, cancer resulted in the deaths of about 74,000 people. Eating habits Heart diseases have been linked to high meat consumption, among others. In the Philippines, pork has been the most consumed meat type, followed closely by chicken. While pork meat is typically produced domestically, the country also imports pork to supplement its supply. However, plant-based food has started gaining popularity among Filipinos. In fact, a 2024 survey revealed that 69 percent of surveyed Filipinos consumed plant-based products, including meat alternatives. Common diseases in the Philippines Aside from heart and cerebrovascular diseases, the Filipino population is also exposed to infections, diabetes, skin diseases, and illnesses resulting from high meat consumption. In 2020, over 700,000 Filipinos contracted acute respiratory tract infections, followed by over 400,000 diagnosed with hypertension. In areas with high exposure to rain, dengue infections and leptospirosis have also become prevalent.

  4. P

    Philippines PH: Cause of Death: by Non-Communicable Diseases: % of Total

    • ceicdata.com
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    CEICdata.com, Philippines PH: Cause of Death: by Non-Communicable Diseases: % of Total [Dataset]. https://www.ceicdata.com/en/philippines/health-statistics/ph-cause-of-death-by-noncommunicable-diseases--of-total
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2016
    Area covered
    Philippines
    Description

    Philippines PH: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 67.300 % in 2016. This records an increase from the previous number of 67.200 % for 2015. Philippines PH: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 66.450 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 67.300 % in 2016 and a record low of 56.500 % in 2000. Philippines PH: Cause of Death: by Non-Communicable Diseases: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;

  5. Forecast: Total Population Requiring Interventions Against Neglected...

    • reportlinker.com
    Updated Apr 12, 2024
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    ReportLinker (2024). Forecast: Total Population Requiring Interventions Against Neglected Tropical Diseases in Philippines 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/55c16f221be0fc68ad2052490798806e0d7e50ac
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    Dataset updated
    Apr 12, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    Forecast: Total Population Requiring Interventions Against Neglected Tropical Diseases in Philippines 2024 - 2028 Discover more data with ReportLinker!

  6. f

    Socio-demographic characteristics of study participants (N = 219) in...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Isabel Francisco; Mario Jiz; Marieke Rosenbaum; Palmera Baltazar; Jennifer A. Steele (2023). Socio-demographic characteristics of study participants (N = 219) in Barangay Macanip, Leyte, Philippines, where schistosomiasis is endemic. [Dataset]. http://doi.org/10.1371/journal.pntd.0007358.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Isabel Francisco; Mario Jiz; Marieke Rosenbaum; Palmera Baltazar; Jennifer A. Steele
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Leyte, Macanip, Philippines
    Description

    Socio-demographic characteristics of study participants (N = 219) in Barangay Macanip, Leyte, Philippines, where schistosomiasis is endemic.

  7. Philippines - Health Indicators

    • data.humdata.org
    csv
    Updated Sep 29, 2025
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    World Health Organization (2025). Philippines - Health Indicators [Dataset]. https://data.humdata.org/dataset/who-data-for-phl
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    csv(74219), csv(12524), csv(1472178), csv(66737), csv(5773), csv(169633), csv(121094), csv(13957), csv(48610), csv(4755), csv(1385685), csv(17074), csv(6286), csv(2389046), csv(136230), csv(91954), csv(1810), csv(1393063), csv(48878), csv(357185), csv(7760), csv(7708103), csv(4214), csv(5020696), csv(6277), csv(86732), csv(104884), csv(39103), csv(4170), csv(1467747), csv(325852), csv(742728), csv(1643041)Available download formats
    Dataset updated
    Sep 29, 2025
    Dataset provided by
    World Health Organizationhttps://who.int/
    Area covered
    Philippines
    Description

    This dataset contains data from WHO's data portal covering the following categories:

    Adolescent, Ageing, Air pollution, Assistive technology, Child, Child mortality, Cross-cutting, Dementia diagnosis, treatment and care, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, Global strategy, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and newborn, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics.

    For links to individual indicator metadata, see resource descriptions.

  8. m

    Cause of death, by non-communicable diseases, ages 5-14, male (% of male...

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2000
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    macro-rankings (2000). Cause of death, by non-communicable diseases, ages 5-14, male (% of male population ages 5-14) - Philippines [Dataset]. https://www.macro-rankings.com/philippines/cause-of-death-by-non-communicable-diseases-ages-5-14-male-(-of-male-population-ages-5-14)
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    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2000
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    Time series data for the statistic Cause of death, by non-communicable diseases, ages 5-14, male (% of male population ages 5-14) and country Philippines. Indicator Definition:Number of male deaths ages 5-14 due to non-communicable diseases divided by number of all male deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.

  9. PHL-607-G07-M : Philippines, Malaria, Tropical Disease Foundation, Inc.

    • iatiregistry.org
    iati-xml
    Updated Sep 25, 2025
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    The Global Fund to Fight AIDS, Tuberculosis and Malaria (2025). PHL-607-G07-M : Philippines, Malaria, Tropical Disease Foundation, Inc. [Dataset]. https://iatiregistry.org/dataset/theglobalfund-phl-607-g07-m
    Explore at:
    iati-xml(9456)Available download formats
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    The Global Fund to Fight AIDS, Tuberculosis and Malariahttp://www.theglobalfund.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    PHL-607-G07-M : Philippines, Malaria, Tropical Disease Foundation, Inc.

  10. p

    Infectious disease physicians Business Data for Camiguin, Philippines

    • poidata.io
    csv, json
    Updated Aug 26, 2025
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    Business Data Provider (2025). Infectious disease physicians Business Data for Camiguin, Philippines [Dataset]. https://www.poidata.io/report/infectious-disease-physician/philippines/camiguin
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    json, csvAvailable download formats
    Dataset updated
    Aug 26, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Camiguin
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 1 verified Infectious disease physician businesses in Camiguin, Philippines with complete contact information, ratings, reviews, and location data.

  11. f

    Knowledge, attitudes and practices related to schistosomiasis transmission...

    • plos.figshare.com
    doc
    Updated May 31, 2023
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    Isabel Francisco; Mario Jiz; Marieke Rosenbaum; Palmera Baltazar; Jennifer A. Steele (2023). Knowledge, attitudes and practices related to schistosomiasis transmission and control in Leyte, Philippines [Dataset]. http://doi.org/10.1371/journal.pntd.0007358
    Explore at:
    docAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Isabel Francisco; Mario Jiz; Marieke Rosenbaum; Palmera Baltazar; Jennifer A. Steele
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines, Leyte
    Description

    Schistosomiasis is a chronic but preventable disease that affects 260 million people worldwide. In the Philippines, 860,000 people are afflicted with Schistosoma japonicum annually, and another 6.7 million live in endemic areas. The disease’s complex epidemiology as well as the influence of poverty in endemic areas demand an integrated, multi-sectoral approach to disease control. Results from behavioral or sociocultural studies on schistosomiasis could improve the content and impact of schistosomiasis control in rural villages in the Philippines. We investigated knowledge, attitudes and practices related to schistosomiasis transmission and control in an endemic village in Leyte Province, Philippines. We administered a questionnaire to 219 participants covering 1) knowledge and attitudes related to schistosomiasis, its symptoms, and its transmission; 2) attitudes and practices in relation to schistosomiasis prevention; 3) willingness to comply with public health control programs; and 4) whether the respondent had previously contracted schistosomiasis. Responses revealed fairly high measures of schistosomiasis knowledge (mean 17.0 out of 23 questions, range 6–23), but also inconsistent disease prevention behavior. A high proportion of participants (72.6%, n = 159) reported previous disease. Participant belief in the preventability of schistosomiasis was revealed to be a key attitude, as carabao owners who believed in prevention were over five times more likely to be willing to vaccinate their carabaos (OR = 5.24, 95% CI 1.20–27.68, P = 0.04). Additionally, participants who did not believe in prevention were about twice as likely to report previous disease (OR = 2.31, 95% CI 1.02–5.63, P = 0.05). Our results suggest that future public health interventions should address barriers to disease-preventing behavior, as well as maintaining community belief in disease prevention. Comprehensive disease control programs should be supplemented by sociocultural and behavioral context in order to improve their impact in endemic communities.

  12. PHL-202-G01-M-00 : Philippines, Malaria, Tropical Disease Foundation, Inc.

    • iatiregistry.org
    iati-xml
    Updated Sep 25, 2025
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    The Global Fund to Fight AIDS, Tuberculosis and Malaria (2025). PHL-202-G01-M-00 : Philippines, Malaria, Tropical Disease Foundation, Inc. [Dataset]. https://iatiregistry.org/dataset/theglobalfund-phl-202-g01-m-00
    Explore at:
    iati-xml(24698)Available download formats
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    The Global Fund to Fight AIDS, Tuberculosis and Malariahttp://www.theglobalfund.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    PHL-202-G01-M-00 : Philippines, Malaria, Tropical Disease Foundation, Inc.

  13. p

    Infectious disease physicians Business Data for Northern Samar, Philippines

    • poidata.io
    csv, json
    Updated Oct 7, 2025
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    Business Data Provider (2025). Infectious disease physicians Business Data for Northern Samar, Philippines [Dataset]. https://www.poidata.io/report/infectious-disease-physician/philippines/northern-samar
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Samar Island, Northern Samar
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 1 verified Infectious disease physician businesses in Northern Samar, Philippines with complete contact information, ratings, reviews, and location data.

  14. P

    Philippines PH: Mortality from CVD, Cancer, Diabetes or CRD between Exact...

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Philippines PH: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 [Dataset]. https://www.ceicdata.com/en/philippines/health-statistics/ph-mortality-from-cvd-cancer-diabetes-or-crd-between-exact-ages-30-and-70
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    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2016
    Area covered
    Philippines
    Description

    Philippines PH: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 26.800 % in 2016. This records a decrease from the previous number of 26.900 % for 2015. Philippines PH: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 26.900 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 28.400 % in 2005 and a record low of 26.800 % in 2016. Philippines PH: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

  15. PHL-202-G02-T-00 : Philippines, Tuberculosis, Tropical Disease Foundation,...

    • iatiregistry.org
    iati-xml
    Updated Sep 25, 2025
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    The Global Fund to Fight AIDS, Tuberculosis and Malaria (2025). PHL-202-G02-T-00 : Philippines, Tuberculosis, Tropical Disease Foundation, Inc. [Dataset]. https://iatiregistry.org/dataset/theglobalfund-phl-202-g02-t-00
    Explore at:
    iati-xml(28107)Available download formats
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    The Global Fund to Fight AIDS, Tuberculosis and Malariahttp://www.theglobalfund.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    PHL-202-G02-T-00 : Philippines, Tuberculosis, Tropical Disease Foundation, Inc.

  16. f

    Table_1_Google trends as an early indicator of African swine fever outbreaks...

    • frontiersin.figshare.com
    docx
    Updated Jun 25, 2024
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    Chia-Hui Hsu; Chih-Hsuan Yang; Andres M. Perez (2024). Table_1_Google trends as an early indicator of African swine fever outbreaks in Southeast Asia.DOCX [Dataset]. http://doi.org/10.3389/fvets.2024.1425394.s001
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    docxAvailable download formats
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    Frontiers
    Authors
    Chia-Hui Hsu; Chih-Hsuan Yang; Andres M. Perez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South East Asia, Asia
    Description

    African Swine Fever (ASF) is a reportable disease of swine that causes far-reaching losses to affected countries and regions. Early detection is critically important to contain and mitigate the impact of ASF outbreaks, for which timely available data is essential. This research examines the potential use of Google Trends data as an early indicator of ASF outbreaks in Southeast Asia, focusing on the three largest swine producing countries, namely, Vietnam, the Philippines, and Thailand. Cross-correlation and Kullback–Leibler (KL) divergence indicators were used to evaluate the association between Google search trends and the number of ASF outbreaks reported. Our analysis indicate strong and moderate correlations between Google search trends and number of ASF outbreaks reported in Vietnam and the Philippines, respectively. In contrast, Thailand, the country of this group in which outbreaks were reported last, exhibits the weakest correlation (KL = 2.64), highlighting variations in public awareness and disease dynamics. These findings suggest that Google search trends are valuable for early detection of ASF. As the disease becomes endemic, integrating trends with other epidemiological data may support the design and implementation of surveillance strategies for transboundary animal diseases in Southeast Asia.

  17. PHL-506-G06-T : Philippines, Tuberculosis, Tropical Disease Foundation, Inc....

    • iatiregistry.org
    iati-xml
    Updated Sep 25, 2025
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    The Global Fund to Fight AIDS, Tuberculosis and Malaria (2025). PHL-506-G06-T : Philippines, Tuberculosis, Tropical Disease Foundation, Inc. [Dataset]. https://iatiregistry.org/dataset/theglobalfund-phl-506-g06-t
    Explore at:
    iati-xml(10137)Available download formats
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    The Global Fund to Fight AIDS, Tuberculosis and Malariahttp://www.theglobalfund.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    PHL-506-G06-T : Philippines, Tuberculosis, Tropical Disease Foundation, Inc.

  18. P

    Philippines WHO: COVID-2019: No of Patients: Confirmed: New: Philippines

    • ceicdata.com
    + more versions
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    CEICdata.com, Philippines WHO: COVID-2019: No of Patients: Confirmed: New: Philippines [Dataset]. https://www.ceicdata.com/en/philippines/world-health-organization-coronavirus-disease-2019-covid2019-by-country-and-region/who-covid2019-no-of-patients-confirmed-new-philippines
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 13, 2023 - Dec 24, 2023
    Area covered
    Philippines
    Description

    WHO: COVID-2019: Number of Patients: Confirmed: New: Philippines data was reported at 0.000 Person in 24 Dec 2023. This stayed constant from the previous number of 0.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Confirmed: New: Philippines data is updated daily, averaging 1,111.000 Person from Jan 2020 (Median) to 24 Dec 2023, with 1425 observations. The data reached an all-time high of 38,867.000 Person in 15 Jan 2022 and a record low of -65,079.000 Person in 14 Aug 2023. WHO: COVID-2019: Number of Patients: Confirmed: New: Philippines data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued). Prior to 03 Feb 2020, data were generated.

  19. PHL-304-G03-H : Philippines, HIV, Tropical Disease Foundation, Inc.

    • iatiregistry.org
    iati-xml
    Updated Sep 25, 2025
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    The Global Fund to Fight AIDS, Tuberculosis and Malaria (2025). PHL-304-G03-H : Philippines, HIV, Tropical Disease Foundation, Inc. [Dataset]. https://iatiregistry.org/dataset/theglobalfund-phl-304-g03-h
    Explore at:
    iati-xml(16811)Available download formats
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    The Global Fund to Fight AIDS, Tuberculosis and Malariahttp://www.theglobalfund.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    PHL-304-G03-H : Philippines, HIV, Tropical Disease Foundation, Inc.

  20. PHL-506-G04-H : Philippines, HIV, Tropical Disease Foundation, Inc.

    • iatiregistry.org
    iati-xml
    Updated Sep 25, 2025
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    The Global Fund to Fight AIDS, Tuberculosis and Malaria (2025). PHL-506-G04-H : Philippines, HIV, Tropical Disease Foundation, Inc. [Dataset]. https://iatiregistry.org/dataset/theglobalfund-phl-506-g04-h
    Explore at:
    iati-xml(11457)Available download formats
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    The Global Fund to Fight AIDS, Tuberculosis and Malariahttp://www.theglobalfund.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    PHL-506-G04-H : Philippines, HIV, Tropical Disease Foundation, Inc.

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Statista (2025). Leading diseases Philippines 2021 [Dataset]. https://www.statista.com/statistics/1118585/philippines-leading-cause-morbidity-by-disease/
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Leading diseases Philippines 2021

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Dataset updated
Aug 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
Philippines
Description

In 2021, the leading illness in the Philippines was acute respiratory infection, with approximately 598,591 people diagnosed with this disease. This was followed by hypertension and animal bites. The morbidity rate of acute respiratory infection per hundred thousand population in the Philippines was at nearly 543.2 in that year.

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