Table 2 SMART comparison of countries.
ASEAN country | Specific | Measurable | Attainable | Relevant | Time-bound | Overall score |
|---|---|---|---|---|---|---|
Brunei Darussalam | Specifically mentions vector-borne diseases, causes to increases in vector-borne diseases, and has included performance indicators | Yes | 2.39% | Surveillance: Y Prevention: N Treatment: N | To 2035 | 2.6 |
Very Good | Good | Poor | Moderate | Good | Moderate | |
Cambodia | Recognises that women are more susceptible to diseases, and identifies capacity and infrastructure to respond to water and vector borne diseases | No | 7.51% | Surveillance: Y Prevention: Y Treatment: N | Expired in 2023 | 2.4 |
Good | Poor | Very Good | Good | Poor | Moderate | |
Indonesia | Uses climate estimates to analyse areas affected by vectors, and projects impacts of vector-borne diseases on GDP | Yes | 3.41% | Surveillance: Y Prevention: N Treatment: N | To 2050 | 2.6 |
Good | Good | Poor | Moderate | Very Good | Moderate | |
Lao PDR | Mentions Covid-19 and livestock diseases, generally mentions disease outbreaks and the need to tackle climate related disease outbreak including malaria, diarrhea, and sickness | No | 2.69% | Surveillance: Y Prevention: Y Treatment: Y | To 2050 | 2.6 |
Good | Poor | Poor | Very Good | Very Good | Moderate | |
Malaysia | Mentions improving lifestyle and emerging diseases as a goal | No | 4.12% | Surveillance: Y Prevention: Y Treatment: Y | To 2030 | 2.6 |
Moderate | Poor | Good | Very Good | Good | Moderate | |
Myanmar | Mentions loss of agriculture as a factor in disease spread, projects increased diarrhoeal diseases through contaminated water and skin disease from exposure to flood waters and a reduction in the development time for pathogens thereby increasing transmission rates from vectors. Notes what is needed to strengthen response | No | 4.62% | Surveillance: Y Prevention: Y Treatment: Y | To 2030 | 3 |
Very Good | Poor | Good | Very Good | Good | Good | |
Singapore | Notes that the country is in a region where communicable diseases are endemic. Notes possible resurgence of communicable diseases due to climate change. Identifies specific climate factors related to specific communicable diseases such as dengue | No | 6.05% | Surveillance: Y Prevention: Y Treatment: N | To 2030 | 3 |
Very Good | Poor | Very Good | Good | Good | Good | |
The Philippines | Estimated infrastructure costs of water-borne diseases. Notes services, activities, and departments for disease control. Has indicators for water-borne disease incidence | Yes | 5.11% | Surveillance: Y Prevention: Y Treatment: Y | To 2028 | 3.2 |
Very Good | Good | Good | Very Good | Moderate | Good | |
Thailand | Notes specific climate events and how they impact multiple infectious diseases. Has strategies and indicators for monitoring infectious diseases, including surveillance, research, public awareness, and health policies | Yes | 4.36% | Surveillance: Y Prevention: Y Treatment: Y | To 2050 | 3.6 |
Very Good | Good | Good | Very Good | Very Good | Good | |
Vietnam | Clarifies the need to develop a medical and healthcare network to meet the requirements of epidemic prevention and new diseases arising from climate change —including infectious disease metrics, investment and initiatives in highly impactful areas | Yes | 4.68% | Surveillance: Y Prevention: Y Treatment: Y | To 2050 | 3.6 |
Very Good | Good | Good | Very Good | Very Good | Good |