Surveillance and early warning systems for climate sensitive diseases in Vietnam and Laos (PestForecast)

Data and Resources

  • Dengue surveillance

    Developing and validating dengue prediction models, analysis spatio-temporal trends of the disease

    Available formats

    XLS this resource is confidential 1

  • Seasonal patterns of dengue fever (Journal)

    Seasonal patterns of dengue fever and associated climate factors in 4 provinces in Vietnam from 1994 to 2013.

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Download as XML (DDI V2.5)

Dataset metadata

Item Value
Created Tuesday 21st of May, 2019
Last updated Tuesday 28th of May, 2019
Dataset type Non-spatial
Abstract A warmer, wetter world is likely to be sicker. The Mekong is a hotspot for human, animal and plant disease and some of the most important are highly sensitive to climate and climate changes. These diseases impose enormous burdens on human health and the agricultural sector and hinder broader development. Better tackling climate sensitive disease requires better information and tools. The projected identified a portfolio of climate-based information systems that target important diseases and are used successfully in other countries. Action research was implemented to adapt these tools for Vietnam and ensuring delivery through partnerships. The outcome is farming communities are able to take practical action to reduce disease risk and/or benefit from risk-mitigating action by health providers. The impacts were better health, reduced economic loss from disease, increased food security, and ecosystems protected from disease spillover and misuse of agricultural chemicals.
How this dataset could be used by others Developing and validating dengue prediction models, analysis spatio-temporal trends of the disease
Principal investigator Bernard Bett
Principal investigator email b.bett@cgiar.org
Partners ILRI, Ministry of Health, Ministry of Environment
Other researchers involved Delia Randolph, Lee Hu Suk, Nguye H
Contact person Harrison Njamba
Contact email H.Njamba@cgiar.org
Custodian Hung Nguyen
Custodian email H.Nguyen@cgiar.org
Groups
Subjects
Agrovoc Tags
License Creative Commons Attribution
Release of confidential data? No
Consent obtained? No

Project metadata

Item Value
Project title Surveillance and early warning systems for climate sensitive diseases in Vietnam and Laos (PestForecast)
Project abstract A warmer, wetter world is likely to be sicker. The Mekong is a hotspot for human, animal and plant disease and some of the most important are highly sensitive to climate and climate changes. These diseases impose enormous burdens on human health and the agricultural sector and hinder broader development. Better tackling climate sensitive disease requires better information and tools. The projected identified a portfolio of climate-based information systems that target important diseases and are used successfully in other countries. Action research was implemented to adapt these tools for Vietnam and ensuring delivery through partnerships. The outcome is farming communities are able to take practical action to reduce disease risk and/or benefit from risk-mitigating action by health providers. The impacts were better health, reduced economic loss from disease, increased food security, and ecosystems protected from disease spillover and misuse of agricultural chemicals.
Project website https://ccafs.cgiar.org/publications/pestforecast
Grant code CRP003511
Donor CCAFS
Partners Ministry of Health, Minstry of Environment
Start date 01/01/2015
End date 31/12/2016
Principal investigator Delia Randolph
Other staff involved Bernard Bett, Lee Hu Suk, Nguye H
Regions
Countries