Economic Modeling for HIV, Viral Hepatitis, Sexually Transmitted Diseases, Tuberculosis and School Health
Sector: Hospital • Location: United States of America
Source: Grants.gov
CDC seeks to support state and local public health efforts to increase the prevention effectiveness of public health interventions. Timely models and economic analyses support both of these goals. The activities described in this FOA will provide models and analytic results that will enable NCHHSTP to better assess policy options, address questions of resource allocation, estimate impact, and ch
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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 | CDC seeks to support state and local public health efforts to increase the prevention effectiveness of public health interventions. Timely models and economic analyses support both of these goals. The activities described in this FOA will provide models and analytic results that will enable NCHHSTP to better assess policy options, address questions of resource allocation, estimate impact, and characterize the cost-effectiveness of interventions used or potentially used in public health. It is anticipated that these activities will at times require analyses of the types described in Table 1, on the following page. At times CDC is called upon to assess any of the following types of economic issues: The change in disease incidence or prevalence as a result of changes in factors such as (1) sexual behaviors (e.g., condom use, pre-exposure prophylaxis, anti-retroviral therapy), (2) health-seeking behaviors (e.g., increased HIV and HCV testing), (3) provision or cessation of specific interventions, and (4) changes in prevention resources The cost of illness of HIV, STDs, viral hepatitis, tuberculosis, and school health issues The cost of various intervention strategies or health programs The cost-effectiveness of interventions addressing different public health problems using health outcome measures such as quality-adjusted life years (QALYs): these may include analyses of single interventions or multiple interventions The cost-effectiveness of alternative interventions addressing the same public health problem using either QALYs or natural health units, such as cases of disease detected or treated Optimal allocation of resources across diseases, intervention strategies, risk and population groups, etc. Estimating the overall population-level impact and cost-effectiveness of prevention activities supported by NCHHSTP The net benefit or return on investment of interventions, clinical practice, recommendations, programs, and policies to reduce HIV, sexually transmitted diseases, viral hepatitis, and tuberculosis, or to improve school health. It is expected that to be able to perform these types of analyses, applicants will have demonstrated capability in at least two of the five areas (HIV, viral hepatitis, tuberculosis, sexually transmitted diseases, and school health), as demonstrated by reports of previous economic analyses or modeling studies that have been published following peer review in journals indexed in PubMed or EconLit. Applicants should have epidemiologic, clinical, modeling, and economic expertise sufficient to define modeling questions, generate hypotheses, conduct literature searches, determine needed data inputs, and construct models to address at least four of the five areas. |
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 |
