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Title page 1
Contents 4
Foreword 5
Abbreviations and acronyms 7
PART 1. Progress on universal health coverage and health-related Sustainable Development Goals in the WHO South-East Asia Region: Key highlights 9
PART 2. Leveraging climate and health monitoring for public health action 53
PART 3. Country-specific UHC and SDG data profiles 85
BANGLADESH 86
BHUTAN 93
DPR KOREA 100
INDIA 107
MALDIVES 114
MYANMAR 121
NEPAL 128
SRI LANKA 135
THAILAND 142
TIMOR-LESTE 149
PART 4. Country-specific climate and health profiles 156
BANGLADESH 157
BHUTAN 164
MALDIVES 170
MYANMAR 176
NEPAL 182
SRI LANKA 189
THAILAND 195
TIMOR-LESTE 201
Annex 1. Methods to calculate the UHC service coverage index, SDG 3.8.1 208
Annex 2. Data sources used in the calculation of the UHC SCI (SDG 3.8.1) 210
Annex 3. Method to calculate financial hardship 212
Annex 4. The health and other health-related SDGs indicator list 214
PART 1. Progress on universal health coverage and health-related Sustainable Development Goals in the WHO South-East Asia Region: Key highlights 11
Fig. 1. Regional trends in UHC SCI and sub-indices, WHO SE Asia Region, 2015-2023 11
Fig. 2. UHC SCI and sub-indices scores in the WHO SE Asia Region, 2023 13
Fig. 3. Trends in the poverty rate and impoverishing OOP health spending, WHO SE Asia Region, 2000-2022 15
Fig. 4. Patterns of financial hardship across household consumption quintiles, WHO SE Asia Region, by the latest available year 15
Fig. 5. People in the Region are living longer, but the gap between life expectancy and healthy life expectancy has remained unchanged 18
Fig. 6. Women live longer than men but spend more years in poor health and the Region trails the global average on both measures 19
Fig. 7. Maternal mortality ratio in the WHO SE Asia Region and globally, 2015-2023 21
Fig. 8. Maternal mortality ratio by Member States, 2015-2023 22
Fig. 9. Regional trends in under-five and neonatal mortality rates 2015-2024 and 2030 projections 24
Fig. 10. Coverage of essential childhood and adolescent immunization in the WHO SE Asia Region, 2015-2025 26
Fig. 11. Malaria incidence in the WHO SE Asia Region and by Member States, 2024 33
Fig. 12. People requiring NTD interventions in the WHO SE Asia Region, 2010-2024, vs the trajectory required to reach the 2030 target... 34
Fig. 13. Suicide mortality rate in the WHO SE Asia Region, 2000-2021, compared with 2030 SDG target 37
Fig. 14. Crude suicide rate, WHO SE Asia Region Member States, 2015-2021 38
Fig. 15. Percentage of the population with access to safely managed drinking water in the WHO SE Asia Region, 2000-2024 40
Fig. 16. The percentage of the population with access to safely managed drinking water by country in the WHO SE Asia Region, 2000-2024 41
Fig. 17. The percentage of the population using safely managed sanitation services in the WHO SE Asia Region, 2000-2024 42
Fig. 18. Percentage of the population using safely managed sanitation services by country in the WHO SE Asia Region, 2000 and 2024 43
Fig. 19. Percentage of the population with basic handwashing facilities at home, by country in the WHO SE Asia Region, 2020-2024 43
Fig. 20. Annual mean ambient PM2.5 exposure (μg/m³) in the WHO SE Asia Region, 2010-2023 44
Fig. 21. Annual mean ambient PM2.5 exposure (μg/m³): 2010 vs 2023, by country in the WHO SE Asia Region 45
Fig. 22. Availability of doctors, nurses and midwives among countries in the WHO SE Asia Region, 2019-2024 46
Fig. 23. IHR (2005) Core Capacity scores by Member State, WHO SE Asia Region, 2021-2025 47
PART 2. Leveraging climate and health monitoring for public health action 56
Fig. 1. The pattern of air pollution attributable mortality rate (per 100 000 population, age-standardized), SDG indicator 3.9., in the WHO... 56
Fig. 2. The pathways of climate change impacts on mental health 61
Fig. 3. All sets of indicators were sized relative to the number emerging in each area from evaluations of the causal pathways between climate... 62
Fig. 4. An example of climate data used for prediction modelling (June 2023-June 2026) 70
Fig. 5. NDCU National Weekly Dengue Forecast Report, based on data up to week 22, predicting increasing dengue transmission in weeks 23-26, 2026 71
Fig. 6. NDCU Weekly Dengue Forecast Report, based on data up to week 22, predicting increasing dengue transmission in weeks 23-26, 2026,... 71
Fig. 7. An example of high-risk areas (probabilities 〉70% in pink) that are priorities for targeted vector control based on predefined rules... 72
Fig. 8. The prevalence of acute respiratory tract infections across municipalities in Timor-Leste (2022-2023) 76
Fig. 9. An evidence-based approach to building health systems resilience to climate-effects - key recommendations from Timor-Leste V&A (2023) 77
Boxes 67
Box 1. From data to public health action 67
Box 2. Distinguishing between monitoring, forecasting, projection and attribution 68
Box 3. The use of weather and climate data to predict dengue outbreaks and protect communities in Sri Lanka - a case study in climate... 69
Box 4. Selected major global initiatives and coordinating mechanisms to strengthen climate services and promote climate-resilient health systems 79
Fig. A1.1. Schematic of UHC SCI (SDG 3.8.1) components and calculation 209
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