Cooperative Ecosystem Studies Unit, Great Plains CESU
Sector: Government • Location: United States of America
Source: Grants.gov
The USGS is offering a funding opportunity to a CESU partner to develop models of spread for emerging diseases (with a focus on White-Nose Syndrome). Emerging/re-emerging diseases of wildlife have the potential to cause devastating population declines and threaten the ability of a species to persist. In the face of emerging diseases, decision makers often have to determine a course of action with
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
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 | The USGS is offering a funding opportunity to a CESU partner to develop models of spread for emerging diseases (with a focus on White-Nose Syndrome). Emerging/re-emerging diseases of wildlife have the potential to cause devastating population declines and threaten the ability of a species to persist. In the face of emerging diseases, decision makers often have to determine a course of action with minimal information regarding the details of the disease's ecology and pathology. Emerging diseases such as white-nose syndrome and chytrid fungus have raised concerns among wildlife managers due to their potential threats to wildlife populations. In addition, re-emerging zoonotic diseases such as plague and West Nile virus continue to cause human mortalities on an annual basis. The development of models that can predict the potential geographic spread and risk for an emerging/re-emerging disease plays a vital role in providing decision makers with the best available information regarding the potential impacts of a disease. |
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 |
