Surveillance and early warning systems for
climate-sensitive diseases in Vietnam (2015–17)
Hu Suk Lee
Climate Change, Agriculture and Food Security (CCAFS) regional meeting
Hanoi, Vietnam
28 November 2018

Outline
• Introduction of project
• Introduction of field studies
• Project achievements

Decision
support tools
Notification
to farmers
Climate Data
Zoonotic/livestock diseases
- Surveillance Data
- Field surveys
Responses
- Vaccination
- Movement control
- Quarantine
Main objectives
• To develop early warning systems of climate-sensitive diseases (CSDs)
(prediction/disease models and risk maps)
• To conduct epidemiological investigations of CSDs
• To support capacity building for public health
Early warning and forecasting system concept

Introduction of field studies

Sampling areas
• Swine urine/sera samples from 5
provinces
- Total sample size
sera: 1,959; urine: 1,920
- 385 samples / province
- Slaughter houses
- JE, Lepto (sera) and AFM1(urine)
- KAP survey (252 people)
• Maize samples from 6 provinces
- Total sample size: 2,370
- 385 samples / province
- AFB1
- KAP survey (551 people)
Except for NIVR
*Sample size (each province): 50% prevalence,
95% CI and precision 5%

Blood sampling - Slaughterhouses

Maize sampling

Research team

Annual incidence rates for lepto and VE in humans
*Previous study showed that 17~71% of VE were caused by JE in VietnamMalaria incidence rate

Seasonality of VE in humans, 2004–13
4-5 times
higher than
Feb
*Previous study showed that 17~71% of VE were caused by JE

Project achievements

Pestforecast (2015–17)
• Research outcomes
• 9 international papers (peer-reviewed), 2 papers (under
review) and 3 papers (preparing)
• Research briefs (3)
• 18 conference presentations/posters
• 1 book chapter (UNEP: Zoonoses: Blurred lines of emergent disease and ecosystem health)
• Pestforecast website
https://pestforecast.wikispaces.com/About+the+project
• Training: 2 master students
• Capacity building
• Vet. epidemiology/GIS training

Capacity building/sharing information

Research contributions and challenges
• Evidence-based tools established (RC)
- Risk maps, seasonality and climate associated models
• One Health research partnership (RC)
- A transdisciplinary team
• Lack of surveillance systems (C)
- Pushed back on the priority list / diagnostic tools
• Lack of resources for implementing tools (C)
- Less interaction with farmers/small holders (budget issue)

Any Questions?
Thank you
h.s.lee@cgiar.org

This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
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