1. The proposed project :
STUDY ON IDENTIFICATION THE INDICATORS AND DEVELOPMENT THE WARNING MODELS FOR HUMAN DISEASES IN THE NORTHERN MOUNTAINOUS OF VIETNAM
Nguyen Huu Quyen, from IMHEN

2. Goals of the study
Research on identification climatic indicators relating to risks of human diseases
Develop a map which shows the climatic indicators relating risks of human diseases by using GIS and remote sensing technology;
Develop the warning models for human diseases.

3. Overview of related research in the world3

4. Sensitivity level of the climatic variables related to some diseases

5. In study by Mr. Browne a 2014 , it was shown that the number of malaria cases in Ghana had a close relation with monthly temperature and precipitation corresponding to different time lags periods:

6. Cross-correlation coefficients between the local climatic factors and the number of malaria cases in Colombia

7. Relations between the Normalized Difference Vegetation Index (NVDI) and Malaria in Eritrea, Africa

8. Rachel 2012 showed the number of dengue cases in Southeast Brazil was related to the temperature, precipitation and ENSO indices corresponding to different time lags periods.

9. Kleinschmidt (2011) with the spatial analysis model on the risk of malaria outbreaks in Africa based on climatic factors and the distance to water

10. Time series analysis model to warn of Dengue occurence cases in Lavras

11. Rachel 2012: Comparison between warning results obtained from the model and from actual observed data on the number of Dengue cases

12. Number of months suitable for malaria transmission
Precipitation > 80mm; Average temperature from 18 °C to 32 °C; Relative humidity > 60%.

13. Map of climatic suitable for malaria transmission in South Africa

14. Overview on related researches in Vietnam14

15. Source: Tran Mai Kien and CS, Workshop: Orientation dengue research in the context of adapting to climate change, the Pasteur Institute in Ho Chi Minh City,

16. Các giai đoạn El Nino (Vòng liền màu đỏ) và
La Nina (Vòng chấm màu xanh) trong 100 vừa qua
Note: El Nino events - red marks and La Nina - blue marks
Source:

17. Sự trùng hợp giữa gia tăng tỷ lệ mắc sốt rét và El Nino (1976-1994): các vòng đỏ trùng với El Nino
Note:
El Nino +1
Source: Tran Mai Kien and CS, Workshop: Orientation dengue research in the context of adapting to climate change, the Pasteur Institute in Ho Chi Minh City,

18. Thay đổi tỷ lệ mắc sốt rét trên 100
Thay đổi tỷ lệ mắc sốt rét trên dân : Dưới tác động của các chiến dịch can thiệp chống sốt rét
Source: Tran Mai Kien and CS, Workshop: Orientation dengue research in the context of adapting to climate change, the Pasteur Institute in Ho Chi Minh City,

19. Phân bố không gian của tỷ lệ mắc sốt rét / 100,000 dân ở Việt Nam:
Năm 2004

22. The need of the study
Health is one of the four priority areas within the Global Framework for Climate Services

23. Diagram on our proposed project

24. Data processing softwares

25. GIS TECHNOLOGY

26. THANK YOU FOR LISTENING!