Diminishing Dengue in the Indo-Pacific with Climate Services
Sector: Government • Location: United States of America
Source: Grants.gov
This project will simultaneously strengthen countries’ capacity to prevent and respond to climate-sensitive infectious disease risks, while also strengthening resilience to climate change and extreme weather events. The implementer will work intensively with 1-2 countries in the Indo-Pacific region that were heavily affected by dengue outbreaks in 2019, and for which no early warning system curren
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This project will simultaneously strengthen countries’ capacity to prevent and respond to climate-sensitive infectious disease risks, while also strengthening resilience to climate change and extreme weather events. The implementer will work intensively with 1-2 countries in the Indo-Pacific region that were heavily affected by dengue outbreaks in 2019, and for which no early warning system currently exists. These outbreaks will also have generated timely and applicable health data sets, which can be paired with climate data sets to create an evidence-based predictive model. This predictive model can form the basis for country-level early warning systems moving forward. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
