American Women: Assessing Risk Epidemiologically (AWARE) (R01 Clinical Trial Optional)
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
This Funding Opportunity Announcement (FOA) will support research that combines epidemiologic methods, digital technology, and data science approaches to better understand HIV prevention, transmission, and early care-cascade points for women living in the US. Applications must: 1) determine the best ways to identify, enroll, and retain cohorts of women living in the United States (US) who are beh
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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 | This Funding Opportunity Announcement (FOA) will support research that combines epidemiologic methods, digital technology, and data science approaches to better understand HIV prevention, transmission, and early care-cascade points for women living in the US. Applications must: 1) determine the best ways to identify, enroll, and retain cohorts of women living in the United States (US) who are behaviorally vulnerable to HIV; and 2) knowledgebase comprised of cohort data from women augmented with other data sources including big data sources. Findings should not only lead to a better understanding of how women remain vulnerable to HIV but also inform future pilot interventions aimed at decreasing the incidence of HIV and other sexually transmitted infections (STIs) among cisgender, transgender, and gender non-conforming women. |
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 |
