Surveillance and early warning systems for climate sensitive diseases in Vietnam and Laos (PestForecast)
Data and Resources
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Dengue surveillance
Developing and validating dengue prediction models, analysis spatio-temporal trends of the disease
Available formats
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Seasonal patterns of dengue fever (Journal ...
Seasonal patterns of dengue fever and associated climate factors in 4 provinces in Vietnam from 1994 to 2013. BMC Infect Dis. 2017 Mar 20;17(1):218. doi: 10.1186/s12879-017-2326-8.
Available formats
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Spatiotemporal analysis of historical records ...
Spatiotemporal analysis of historical records (2001-2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk. PLoS One. 2019 Nov 27;14(11):e0224353. doi: 10.1371/journal.pone.0224353. eCollection 2019.
Available formats
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Dataset metadata
| Item | Value |
|---|---|
| Created | Tuesday 21st of May, 2019 |
| Last updated | Wednesday 11th of December, 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 | Hung Nguyen |
| Principal investigator email | h.nguyen@cgiar.org |
| Partners | ILRI, Ministry of Health, Ministry of Environment |
| Other researchers involved | Delia Randolph, Lee Hu Suk, Bernard Bett |
| Contact person | Bernard Bett |
| Contact email | b.bett@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, Hung Nguyen |
| Regions | |
| Countries |