Cooperative Ecosystem Studies Unit, Rocky Mountain CESU
Sector: Government • Location: United States of America
Source: Grants.gov
The US Geological Survey, Northern Rocky Mountain Science Center (NOROCK) is offering a funding opportunity is to review geographic disease spread, including an historical perspective on the development of disease spread models from the disease mapping and spatial epidemiology perspectives. This historical perspective can offer a clarifying lens through which to view the latest modeling approaches
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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 US Geological Survey, Northern Rocky Mountain Science Center (NOROCK) is offering a funding opportunity is to review geographic disease spread, including an historical perspective on the development of disease spread models from the disease mapping and spatial epidemiology perspectives. This historical perspective can offer a clarifying lens through which to view the latest modeling approaches and can facilitate consistency in future efforts. In addition, a review should also be conducted on modeling geographic spread in other non-disease processes such as invasive species and climate change-induced range shifts. From each of these fields, a glossary of spatial spread terminology will be developed along with summarizing modeling approaches used, identifying commonalities and differences between modeling approaches and describing the data requirement of each. |
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 |
