SOLICITATION NOTICE
B -- B-Analysis of Smoking Intensity (CISNET)
- Notice Date
- 7/1/2004
- Notice Type
- Solicitation Notice
- NAICS
- 541690
— Other Scientific and Technical Consulting Services
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, National Cancer Institute, Research Contracts Br., 6120 Executive Blvd. EPS Suite 600, Rockville, MD, 20852
- ZIP Code
- 20852
- Solicitation Number
- RFQ-NCI-40091-NQ
- Response Due
- 7/15/2004
- Archive Date
- 7/30/2004
- Point of Contact
- Cynthia Brown, Purchasing Agent, Phone (301) 496-8608, Fax (301) 402-4513, - Renita Smith, Contract Specialist, Phone 301-496-8612, Fax 301-480-0241,
- E-Mail Address
-
cb106x@nih.gov, rs442i@nih.gov
- Description
- The National Cancer Institute, Division of Cancer Control and Population Sciences (DCCPS), Statistical Research and Applications Branch (SRAB), intends on entering into a sole source contract with the University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093; to continue support of the consortium of simulation modeling groups which began in September of 2000 the importnat task of building simulation models to study the impact of cancer control interventions on past and future population trends as well as optimal cancer control strategies. The Cancer Intervention and Surveillance Modeling Network (CISNET)is a diverse group involving members from over a dozen different organizations at multiple sites around the world. The CISNET consortium includes five grantees focusing on modeling for lung cancer. An advantage of having a corsortium of modelers is the ability to employ a comparative modeling approach. While each modeler has areas of individual focus, common "base" questions have been developed that allow for comparison across models. The SRAB motivation is that sometimes widely different results from models are often difficult to resolve, and this project will provide a chance to reach common consensus on important questions, and to better understand the differences between models. A set of common population inputs is used across all models (e.g., dissemination patterns of screening and treatment, mortality from non-cancer causes), and a common set of intermediate and final outputs is developed to help understand differences and similarities across models. In reference to lung cancer the focus will be on modeling the impact of smoking on lung cancer mortality from 1975-2000. While cigarette smoking is generally assumed to have had a substantial impact on lung cancer, there are certain aspects of modeling this impact which are still a major challenge, e.g., gaining a better understanding of the process of carcinogenesis for those who have quit smoking, undertanding the role of changing tobacco products on population trends, and understanding trends in lung cancer among non-smokers. In order for these questions to be properly addressed, it is crucial to first obtain high-quality estimates of smoking initiation and cessation rates for the various gender and birth cohorts that comprise the US population over the period of interest. The National Health Interview Survey (NHIS) is a national-level survey, administered yearly, which has asked respondents about their cigarette smoking habits since 1965. A previous analysis by Burns et al. demonstrated that multiple NHIS survey data sets, spanning the period 1968-1991, could be combined in order to produce gender-specific estimates of smoking initiation and cessation rates for "synthetic" 5-year birth cohorts. Previous modeling efforts "Adjusting Cohort-specific Estimates of Initiation and Cessation of Cigarette Smoking for the Effect of Differential Mortality" were used to constuct input data sets for use by CISNET modelers, but was limited in that it applied only to white males and females, for wich the greatest amount of historical data is available. Further limitations of previous analysis is that only initiation and cessation rates were produced, although it is well known that intensity (the number of cigarettes smoked) also have a strong effect on the relationship between smoking and lung cancer risk. The NCI goal is to model initiation rates, cessation rates, and smoking intensity for three main segments of the US population: Whites, African-Americans and Hispanic-Americans, which will provide the CISNET modelers with information required to adequately model the effect of smoking on lung cancer incidence and mortality for the majority of the US population. The University of California at San Diego is the only source known to the government that can provided the necessary personnel, expertise to perform the above required services/data. However, if any interested party believes it can provide the required services/information, it may submit a statement of capabilities. The statement of capabilities must contain material in sufficient detail to allow NCI to determine if the party can perform the requirement. Capability statements must be received in the contracting office by 1:30 PM EDT on July 15, 2004, Attn: Cynthia Brown, Purchasing Agent. This acquisitionis being processed based on FAR 13 the use of simplified acquisition procedures. The NAICS Code is 541690 the business size standard is $6M. Please refer to RFQ-NCI-40091-NQ when inquiring.
- Record
- SN00613718-W 20040703/040701211844 (fbodaily.com)
- Source
-
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