| Literature DB >> 32612364 |
Tran Thi Tuyet Hanh1, Le Thi Thanh Huong1, Nguyen Thi Lien Huong2, Tran Nu Quy Linh3, Nguyen Huu Quyen4, Nguyen Thi Trang Nhung5, Kristie Ebi6, Nguyen Dinh Cuong7, Ha Van Nhu1, Tran Mai Kien8, Simon Hales9, Do Manh Cuong2, Nguyen Thi Thi Tho10, Luu Quoc Toan1, Nguyen Ngoc Bich1, Hoang Van Minh11.
Abstract
BACKGROUND: The Global Climate Risk Index 2020 ranked Vietnam as the sixth country in the world most affected by climate variability and extreme weather events over the period 1999-2018. Sea level rise and extreme weather events are projected to be more severe in coming decades, which, without additional action, will increase the number of people at risk of climate-sensitive diseases, challenging the health system. This article summaries the results of a health vulnerability and adaptation (V&A) assessment conducted in Vietnam as evidences for development of the National Climate Change Health Adaptation Plan to 2030.Entities:
Keywords: Climate change; Vietnam; health impacts; vulnerability and adaptation assessment
Year: 2020 PMID: 32612364 PMCID: PMC7309337 DOI: 10.1177/1178630220924658
Source DB: PubMed Journal: Environ Health Insights ISSN: 1178-6302
Figure 1.Influenza incidence and death rates by month in Vietnam, 1997 to 2016.
Figure 2.(A) Trend of dengue fever incidence and deaths in Vietnam from 1997 to 2016 and (B) incidence rates of dengue fever by month in Vietnam, 2007 to 2016.
Figure 3.(A) Incidence and death rates of diarrheal disease by year; (B) incidence and death rates of diarrheal by month in Vietnam, 1997 to 2016.
Indicators of exposure to extreme weather events and climate change hazards in the health sector in Vietnam.
| I | Indicators | Rating each indicator | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|
| 1. | Number of storms and tropical depressions occurring annually on the East Sea; and number of strong storms occurring on the East Sea annually | ⩾10 storms → rate 5 | 5 | 4 | 3 | 5 | 5 |
| 2. | Number of extreme cold episodes (days) with absolute minimum temperature < 13° C occurring annually | >12 episodes → rate 5 | 3 | 3 | 2 | 2 | 1 |
| 3. | Number of heat waves occurring annually | >12 episodes → rate 5 | 5 | 5 | 5 | 5 | 5 |
| 4. | Number of days with extreme heavy rain (> 100 mm) occurring annually | >12 days → rate 5 | 4 | 3 | 2 | 2 | 3 |
| 5. | Number of drought months occurring annually | ⩾3 months → rate 5 | 5 | 5 | 5 | 5 | 4 |
| 3 other proposed indicators were not assessed due to lack of secondary data available, including: % of provinces/cities flooded annually; % of provinces/cities experiencing droughts annually; and total area inundated/flooded due to sea level rise (hectare). | |||||||
| Average rating for “Exposure” | 4.4 | 4.0 | 3.4 | 3.8 | 3.6 | ||
Indicators of the adaptive capacity to climate change and extreme weather events of the health sector in Vietnam.
| III | Indicators | Rating each indicator | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|
| Leadership/governance | |||||||
| 1. | MOH established a national steering committee in responding climate change, natural disasters and emergencies. | No → rate 5 | 2 | 2 | 2 | 2 | 2 |
| 2. | % provinces/cities have a specific health action plan to respond to climate change | <20% → rate 5 | 5 | 5 | 5 | 5 | 5 |
| 3. | % of health policies that are integrated with relevant climate change response contents. | <20% → rate 5 | 5 | 5 | 5 | 5 | 5 |
| Health care financing | |||||||
| 4. | In the national master development and investment plan, there is a budget line for climate change adaptation in the health sector. | 0 → rate 5; | 5 | 5 | 5 | 5 | 5 |
| Health workforce | |||||||
| 5. | The Health Sector has training programs and short courses for health staff at different levels in planning for and responding to climate change. | No training programs at uni., no short courses 5 | 5 | 5 | 5 | 5 | 5 |
| 6. | % of health staff trained in climate change and health adaptation | <20% → rate 5 | 5 | 5 | 5 | 5 | 5 |
| Infrastructure, medical products, technologies | |||||||
| 7. | % provincial/district hospitals and commune health stations applied measures to response to health impacts of climate change. | <20% → rate 5 | NA | NA | NA | NA | NA |
| 8. | % provincial/district hospitals and commune health stations with adequate infrastructure, medical products and equipment for disaster and emergency responses | <20% → rate 5 | NA | NA | NA | NA | NA |
| Information and research | |||||||
| 9. | % provinces, cities with organized community-based communication programs/activities to raise public awareness of climate change and health | <20% → rate 5 | 5 | 5 | 5 | 5 | 5 |
| 10. | Number of research projects at the national level implemented in the last year on climate change and health and on adaptation options | 0 → rate 5 | 5 | 5 | 4 | 4 | 4 |
| Service delivery | |||||||
| 11. | Health sector has developed and used an early warning system for health risks from natural disasters, including extreme weather events and climate variability | No → rate 5; | 5 | 5 | 5 | 5 | 5 |
| 12. | Number of hospital beds per 10 000 population | <10 → rate 5; 10 -<20 → rate 4 | 3 | 3 | 3 | 3 | 3 |
| 13. | Number of doctors (physicians) per 10 000 population | <5→ rate 5; 5-<10 → rate 4 | 4 | 4 | 4 | 4 | 4 |
| Average score | 4.5 | 4.5 | 4.4 | 4.4 | 4.4 |
Proposed health adaptation options and the rating of 48 stakeholders.
| Health adaptation options in the health sector | TF | OF | E | EA | FF | SF | Average score |
|---|---|---|---|---|---|---|---|
| 1. Strengthen the capacity of health staff at different levels through developing and implementing short, core/elective training courses on climate change and health adaptation. | 4.2 | 4.0 | 4.0 | 3.9 | 3.8 | 4.1 | 4.0 |
| 2. Improve awareness and capacity of the community in health adaptation through risk communication activities. | 4.1 | 3.7 | 3.5 | 3.8 | 4.0 | 4.1 | 3.9 |
| 3. Develop and implement early warning systems for prioritized climate-sensitive diseases (dengue fever, malaria, influenza, diarrhea, heat stroke) to protect vulnerable people. Strengthen surveillance systems for these diseases. | 4.0 | 3.7 | 3.4 | 3.8 | 4.0 | 4.1 | 3.8 |
| 4. Promote intersectoral and international collaboration in developing and implementing health adaptation options for climate-sensitive diseases/health outcomes. | 3.9 | 3.5 | 3.5 | 3.8 | 3.9 | 4.0 | 3.8 |
| 5. Strengthen scientific research about the health risks of climate change, vulnerable groups, and effective health adaptation measures. | 4.2 | 3.8 | 3.4 | 3.7 | 3.9 | 3.8 | 3.8 |
| 6. Strengthen infrastructure and equipment capacity to increase health facility resilience to natural disasters and extreme weather events, prioritizing commune and district health centers/ hospitals. | 3.9 | 3.6 | 3.2 | 3.8 | 4.0 | 3.9 | 3.7 |
| 7. Adapt health services to improve management of climate-sensitive diseases: strengthen health facilities in preventing and controlling emerging and re-emerging diseases in a changing climate. Develop, pilot, and implement effective community adaptations to climate change | 3.9 | 3.6 | 3.3 | 3.9 | 3.8 | 3.8 | 3.7 |
| 8. Develop and refine regulations, policies, and mechanisms of the health sector in managing the health risks of climate change and extreme weather events. | 3.8 | 3.6 | 3.5 | 3.7 | 3.7 | 3.7 | 3.7 |
Abbreviations: E, effectiveness; EA, environmental acceptance; FF, financial feasibility; OF, operational feasibility; SF, social feasibility; TF, technical feasibility.
Indicators of health sensitivity to climate change and extreme weather events in Vietnam.
| II | Indicators | Rating each indicator | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|
| Core indicators | |||||||
| 1. | Number of provinces/cities with epidemic dengue hemorrhagic fever occurring annually out of 63 provinces/cities | 51-63 provinces → rate 5 | 5 | 4 | 5 | 4 | 5 |
| 2. | Number of dengue hemorrhagic fever cases / 100 000 people | >50 → rate 5 | 5 | 4 | 5 | 5 | 5 |
| 3. | Number of diarrhea cases / 100 000 people | >50 000 → rate 5 | 5 | 5 | 5 | 4 | 4 |
| 4. | Number of influenza cases / 100 000 people | >500 → rate 5 | 5 | 5 | 5 | 5 | 5 |
| 5. | % of poor households | >20% → rate 5 | 3 | 3 | 3 | 3 | 3 |
| Co-indicators | |||||||
| 6. | Population density (people/km2) | >281 → rate 5 | 5 | 5 | 5 | 5 | 5 |
| 7. | (A) % of children under 5 years of age who are malnourished (underweight) | >20% → rate 5 | 4 | 3 | 3 | 3 | 3 |
| (B) % of children under 5 years of age who are malnourished (stunting: low height-for-age) | ⩾30% is very high. 20%-29% is high | 4 | 4 | 4 | 4 | 4 | |
| 8. | % households in rural areas without access to improved drinking water | >20% → rate 5 | 4 | 4 | 3 | 3 | 3 |
| 9. | % households in rural areas without access to hygienic toilets | >50% → rate 5 | 4 | 3 | 3 | 3 | 2 |
| 10. | % of the elderly ⩾ 60 years old | >30% → rate 5 | 2 | 2 | 2 | 2 | 2 |
| 11. | Number of deaths due to dengue hemorrhagic fever annually / 100 000 people | >0.5 → rate 5 | 1 | 1 | 1 | 1 | 1 |
| 12. | Number of deaths due to diarrhea annually/ 100 000 people | 8.6-<45 → rate 4 | 1 | 1 | 1 | 1 | 1 |
| 13 | Number of deaths due to influenza annually / 100 000 people | ⩾2.0 → rate 5 | 1 | 1 | 1 | 1 | 1 |
| Average rating for “Health sensitivity” | 3.8 | 3.5 | 3.6 | 3.4 | 3.5 |