An Opportunity to END TB: Using the Sustainable Development Goals for Action on Socio-Economic Determinants of TB in High Burden Countries in WHO South-East Asia and the Western Pacific Regions
Abstract
:1. Introduction
2. TB Burden: Globally and in the WHO South-East Asia and Western Pacific Regions
3. End TB Strategy
Progress towards the 2020 Milestones of the End TB Strategy
4. Factors Influencing the Risk of Exposure to Mycobacterium tuberculosis (Mtb), Infection, the Progression from Infection to Disease and Adverse Treatment Outcomes
- Close contact with a person with infectious TB disease
- Age, sex, tobacco use, alcohol abuse, malnutrition, HIV infection, diabetes mellitus, exposure to indoor air pollution, silicosis, intake of immunosuppressive drugs/medications (e.g., tumor necrosis factor-alpha (TNF) antagonists, corticosteroids)
- Poverty, socio-economic and gender inequality, overcrowding, food and job insecurity, weak health systems
4.1. Relationship between Various Health-Related Risk factors and Major Underlying Socio-Economic Determinants of TB
4.2. Need for Action on Risk Factors and Major Determinants of TB
5. Framework for Action on Social Determinants of Tuberculosis: Sustainable Development Goals
- No Poverty
- Zero Hunger
- Good Health and Well-being
- Quality Education
- Gender Equality
- Clean Water and Sanitation
- Affordable and Clean Energy
- Decent Work and Economic Growth
- Industry, Innovation, and Infrastructure
- Reducing Inequality
- Sustainable Cities and Communities
- Responsible Consumption and Production
- Climate Action
- Life Below Water
- Life on Land
- Peace, Justice, and Strong Institutions
- Partnerships for the Goals
5.1. Sustainable Development Goals that Are Likely to Have a Significant Impact on the Burden of TB
5.1.1. SDG Goal 1: No Poverty
5.1.2. SDG Goal 2: Zero Hunger
5.1.3. SDG Goal 3: Good Health and Well Being
5.1.4. SDG Goal 4: Quality Education
5.1.5. SDG Goal 5: Gender Equality
5.1.6. SDG Goal 6: Clean Water and Sanitation
5.1.7. SDG Goal 7: Affordable and Clean Energy
5.1.8. SDG Goal 8: Decent Work and Economic Growth
5.1.9. SDG Goal 10: Reduced Inequalities
5.1.10. SDG Goal 11: Sustainable Cities and Communities
5.1.11. SDG Goal 13: Climate Action
6. Role of National TB Programs in Accelerating the Progress towards Achieving SDGs
- Development of national (and local) strategic and operational plans to end (or eliminate) TB, with a multisectoral perspective involving government and partners, consistent with the End TB Strategy.
- Development and use of a national MAF-TB.
- Establishment, strengthening or maintenance of a national multisectoral mechanism (e.g., inter-ministerial commission), tasked with providing oversight, coordination and a periodic review of the national tuberculosis response.
- Implementation of multisectoral actions on the social determinants of tuberculosis.
- Revisions to plans and policies, and associated activities, based on monitoring, reporting, and recommendations from reviews.
- Seven indicators relevant to TB under SDG 1, 2, 7, 8, 10 and 11 and seven indicators within SDG-3.
- (1)
- SDG 1 (No poverty)—Indicator 1.1.1: Proportion of the population living below the international poverty line
- (2)
- SDG 1 (No poverty)—Indicator 1.3.1: Proportion of the population covered by social protection floors or systems
- (3)
- SDG 2 (Zero hunger)—Indicator 2.1.1: Prevalence of undernourishment
- (4)
- SDG 7 (Affordable and clean energy)—Indicator 7.1.2: Proportion of the population with primary reliance on clean fuels and technology
- (5)
- SDG 8 (Decent work and economic growth)—Indicator: 8.1.1: Gross domestic product (GDP) per capita
- (6)
- SDG 10 (Reduced inequalities)—Indicator: 10.1.1: Gini index for income inequality
- (7)
- SDG 11 (Sustainable Cities and Communities)—Indicator: 11.1.1: Proportion of the urban population living in slums
- B.
- Seven indicators relevant to TB within SDG 3 are as follows:
- (1)
- SDG Indicator 3.8.1: Coverage of essential health services (UHC) measure with an UHC index based essential health services and ranges between 0 and 100
- (2)
- SDG Indicator 3.8.2: Proportion of the population with large household expenditures on health, as a share of total household expenditure or income
- (3)
- SDG Indicator 3.c.1: Current health expenditure per capita in current international dollars
- (4)
- SDG Indicator 3.3.1: Prevalence of HIV
- (5)
- SDG Indicator 3.a.1: Prevalence of smoking
- (6)
- SDG Indicator 3.4.1: Prevalence of diabetes
- (7)
- SDG Indicator 3.5.2: Prevalence of alcohol use disorder
7. Conclusions
Author Contributions
Funding
Conflicts of Interest
Disclaimer
References
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Country | Annual TB Incidence in Thousands (Uncertainty Intervals) | The Approximate Annual Number of TB Deaths in Thousands (Best Estimates) |
---|---|---|
Bangladesh | 357 (260–469) | 47.2 |
Cambodia | 49 (27–77) | 6.7 |
China | 866 (740–1000) | 39.4 |
DPR Korea | 131 (114–149) | 20.0 |
India | 2690 (1840–3700) | 449.7 |
Indonesia | 845 (770–923) | 98.3 |
Myanmar | 181 (119–256) | 24.7 |
Papua New Guinea | 37 (30–45) | 4.7 |
Philippines | 591 (332–924) | 26.6 |
Thailand | 106 (81–136) | 11.5 |
Vietnam | 174 (111–251) | 13.2 |
Country | TB Incidence Rate (Per 100,000 Population) | Number of TB Deaths (in Thousands) | Proportion of TB Patients Experiencing Catastrophic Costs (in 2018) | ||||
---|---|---|---|---|---|---|---|
2015 | 2018 | Reduction * | 2015 | 2018 | Reduction * | ||
Bangladesh | 221 | 221 | 0% | 66.0 | 47.0 | 29% | NA |
Cambodia | 367 | 302 | 18% | 3.8 | 3.4 | 11% | NA |
China | 65 | 61 | 6% | 43.0 | 40.0 | 7% | NA |
DPR Korea | 513 | 513 | 0% | 10.0 | 20.0 | −100% | NA |
India | 217 | 199 | 8% | 470.0 | 449.0 | 4% | NA |
Indonesia | 325 | 316 | 3% | 102.0 | 98.0 | 4% | NA |
Myanmar | 391 | 338 | 14% | 36.0 | 25.0 | 31% | NA |
Papua New Guinea | 432 | 432 | 0% | 4.3 | 4.7 | −9% | NA |
Philippines | 550 | 554 | −1% | 28.0 | 26.0 | 7% | NA |
Thailand | 163 | 153 | 6% | 15.0 | 11.0 | 27% | NA |
Vietnam | 199 | 182 | 9% | 17.0 | 13.0 | 24% | NA |
Risk Factor | Relative Risk of TB (95% Confidence Intervals) * | Estimated Prevalence of Risk Factor in the South-East Asia and Pacific Region ** | Estimated Population Attributable Fraction (PAF) *** |
---|---|---|---|
HIV | 19 (16–22) | 0.2% [12] | 3.5% (2.9–4.0%) |
Alcohol abuse | 3.3 (2.1–5.2) | 13.5% [13] | 23.7% (12.9–36.2%) |
Undernourishment | 3.2 (3.1–3.3) | 11.5% [14] | 20.2% (19.5–20.9%) |
Smoking | 1.6 (1.2–2.1) | 24.8% [15] | 13.0% (4.7–21.4%) |
Diabetes Mellitus | 1.5 (1.3–1.8) | 8.6% [16] | 4.1% (2.5–6.4%) |
Indoor Air Pollution | 2.0 (1.2–3.2) | 38.6% [17] | 27.8% (7.2–45.9%) |
Country | SDG Indicators | ||||||
---|---|---|---|---|---|---|---|
1.1.1 Proportion of the Population Living below the International Poverty Line | 1.3.1 Proportion of the Population Covered by Social Protection Floors or Systems | 2.1.1 Prevalence of Undernourishment | 7.1.2 Proportion of the Population with Primary Reliance on Clean Fuels and Technology | 8.1.1 Gross Domestic Product (GDP) Per Capita, PPP (Constant 2011 International Dollars) | 10.1.1 Gini Index for Income Inequality * | 11.1.1 Proportion of the Urban Population Living in Slums | |
Bangladesh | 15% | 18% | 15% | 18% | 3500 | 32 | 55% |
Cambodia | NA | 3.1% | 18% | 18% | 3700 | NA | 55% |
China | 0.7% | 63% | 8.7% | 59% | 15,300 | 39 | 25% |
DPR Korea | NA | NA | 43% | 11% | NA | NA | NA |
India | 21% | 30% | 15% | 41% | 6500 | 36 | 24% |
Indonesia | 5.7% | 57% | 7.7% | 58% | 11,200 | 38 | 22% |
Myanmar | 6.4% | 2.3% | 10% | 18% | 5600 | 38 | 41% |
Papua New Guinea | 38% | 4.2% | NA | 13% | 3800 | 48 | NA |
Philippines | NA | 41% | 14% | 43% | 7600 | 40 | 38% |
Thailand | 0% | 79% | 9% | 74% | 16,300 | 36 | 25% |
Vietnam | 2% | 35% | 11% | 67% | 6200 | 35 | 27% |
Country | SDG-3 Indicators | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
3.8.1 Coverage of Essential Health Services (UHC) Measure with an UHC Index Based Essential Health Services and Ranges between 0 and 100 | 3.8.2 Proportion of the Population with Large Household Expenditures on Health as a Share of Total Household Expenditure or Income | 3.c.1 Current Health Expenditure Per Capita in Current International Dollars | 3.3.1 Prevalence of HIV | 3.a.1 Prevalence of Smoking | 3.4.1 Prevalence of Diabetes | 3.5.2 Prevalence of Alcohol Use Disorder | ||||
Male | Female | Male | Female | Male | Female | |||||
Bangladesh | 48 | 25% | 91 | 0.1% | 45% | 1% | 10% | 9.3% | 1.4% | 0.3% |
Cambodia | 60 | 15% | 229 | 0.5% | 34% | 2% | 7.4% | 6.9% | 8.7% | 1.8% |
China | 79 | 20% | 761 | NA | 48% | 1.9% | 9.9% | 7.6% | 8.4% | 0.2% |
DPR Korea | 71 | NA | NA | NA | NA | NA | 5.8% | 5.9% | 6.2% | 1.0% |
India | 55 | 17% | 241 | 0.2% | 21% | 1.9% | 9.1% | 8.3% | 9.1% | 0.5% |
Indonesia | 57 | 2.7% | 363 | 0.4% | 76% | 2.8% | 7.6% | 8.0% | 1.4% | 0.3% |
Myanmar | 61 | 14% | 291 | 0.7% | 35% | 6.3% | 6.9% | 7.9% | 3.2% | 0.6% |
Papua New Guinea | 40 | NA | 92 | 0.9% | 49% | 24% | 15% | 14% | 8.8% | 1.8% |
Philippines | 61 | 6.3% | 342 | 0.1% | 41% | 7.8% | 7.1% | 7.3% | 8.8% | 1.8% |
Thailand | 80 | 2.2% | 635 | 1.1% | 39% | 1.9% | 8.3% | 8.8% | 10% | 0.9% |
Vietnam | 75 | 9.4% | 356 | 0.3% | 46% | 1.0% | 5.5% | 5.1% | 9.8% | 1.2% |
Determinant of TB | Sample Community Level Policies/Interventions to Address the Determinant | Example: Public Programs in India that Can Be Galvanized to Address the Determinant at the Local Level |
---|---|---|
To reduce poverty (SDG-1) |
| |
To reduce hunger (SDG-2) |
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Improve the quality of education (SDG-4) |
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Gender equality (SDG-5) |
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Clean water and sanitation (SDG-6) |
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Affordable and clean energy (SDG-7) |
|
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Decent work and economic growth (SDG-8) |
| |
Reduced inequalities (SDG-10) |
|
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Sustainable cities and communities (SDG-11) |
|
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Climate action (SDG-13) |
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Satyanarayana, S.; Thekkur, P.; Kumar, A.M.V.; Lin, Y.; Dlodlo, R.A.; Khogali, M.; Zachariah, R.; Harries, A.D. An Opportunity to END TB: Using the Sustainable Development Goals for Action on Socio-Economic Determinants of TB in High Burden Countries in WHO South-East Asia and the Western Pacific Regions. Trop. Med. Infect. Dis. 2020, 5, 101. https://doi.org/10.3390/tropicalmed5020101
Satyanarayana S, Thekkur P, Kumar AMV, Lin Y, Dlodlo RA, Khogali M, Zachariah R, Harries AD. An Opportunity to END TB: Using the Sustainable Development Goals for Action on Socio-Economic Determinants of TB in High Burden Countries in WHO South-East Asia and the Western Pacific Regions. Tropical Medicine and Infectious Disease. 2020; 5(2):101. https://doi.org/10.3390/tropicalmed5020101
Chicago/Turabian StyleSatyanarayana, Srinath, Pruthu Thekkur, Ajay M. V. Kumar, Yan Lin, Riitta A. Dlodlo, Mohammed Khogali, Rony Zachariah, and Anthony David Harries. 2020. "An Opportunity to END TB: Using the Sustainable Development Goals for Action on Socio-Economic Determinants of TB in High Burden Countries in WHO South-East Asia and the Western Pacific Regions" Tropical Medicine and Infectious Disease 5, no. 2: 101. https://doi.org/10.3390/tropicalmed5020101