Developing TranStat: A user-friendly R package for the analysis of infectious disease transmission and control among close contacts

开发 TranStat:一个用户友好的 R 包,用于分析密切接触者之间的传染病传播和控制

基本信息

  • 批准号:
    10703508
  • 负责人:
  • 金额:
    $ 40.1万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-12 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

Project summary/abstract Households, classrooms, hospitals, workplaces, and other close contact settings are major venues for the spread of many infectious pathogens. Because they allow epidemiologists to follow a well-defined population at risk of infection, longitudinal studies of infectious disease transmission in these settings can generate unique insights into the determinants of infectiousness and susceptibility, the evolution of in- fectiousness over time in infected individuals (the infectiousness profile), and the effectiveness of control strategies (e.g., vaccination or masking). However, such studies are rarely done and are often analyzed us- ing statistical methods designed for chronic diseases or population-level surveillance data, which can re- sult in severe bias. To realize the enormous potential of these studies to inform public health responses to infectious diseases, it is critical to develop user-friendly and versatile software tools that provide access to statistical methods designed for close contact settings. This software must also support the proper calcu- lation of statistical power and sample size in order to aid the design of observational studies and interven- tion trials in these settings. Based on our extensive experience in methodological research and code devel- opment for a variety of infectious diseases in close contact groups (including influenza, Ebola, norovirus, cholera, SARS-CoV-2, etc.), we propose to develop a user-friendly, versatile, and computationally efficient R package called TranStat. Our team of epidemiologists, biostatistician, and computational biologists will achieve the following Specific Aims: (1) To integrate independent implementations of discrete-time chain binomial models and continuous-time pairwise survival models into a single R package. This aim will unify data input, model specification, and output formats for the two packages while improving user- friendliness, computational efficiency, functionality, and documentation. (2) To develop simulation tools to calculate power and sample size for observational studies and intervention trials in close contact settings. This aim will support the design of epidemiological studies of infectious disease transmission in house- holds, classrooms, congregate housing facilities, workplaces, etc., that can inform control strategies. (3) To build capacity to handle missing data in outcomes and covariates and to account for unobserved hetero- geneity in transmissibility (e.g., superspreading). This aim will allow users of TranStat to retain partially- observed data in their analyses to maximize statistical power while avoiding bias and accurately quanti- fying uncertainty. The integrated, expanded, and freely available TranStat package will allow epidemi- ologists to generate detailed and reliable scientific insights by studying infectious disease transmission in close contact groups. Through these insights, TranStat will help policy-makers, public health officials, and the public work together to control epidemics more effectively.
项目总结/文摘

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Eben Kenah其他文献

Eben Kenah的其他文献

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{{ truncateString('Eben Kenah', 18)}}的其他基金

Developing TranStat: A user-friendly R package for the analysis of infectious disease transmission and control among close contacts
开发 TranStat:一个用户友好的 R 包,用于分析密切接触者之间的传染病传播和控制
  • 批准号:
    10576467
  • 财政年份:
    2022
  • 资助金额:
    $ 40.1万
  • 项目类别:
Semiparametric analysis of the household transmission of cholera
霍乱家庭传播的半参数分析
  • 批准号:
    9090814
  • 财政年份:
    2016
  • 资助金额:
    $ 40.1万
  • 项目类别:
Regression, Phylogenetics, and Study Design in Infectious Disease Epidemiology
传染病流行病学中的回归、系统发育学和研究设计
  • 批准号:
    9028288
  • 财政年份:
    2016
  • 资助金额:
    $ 40.1万
  • 项目类别:
Survival analysis and regression in infectious disease epidemiology
传染病流行病学中的生存分析和回归
  • 批准号:
    8507869
  • 财政年份:
    2011
  • 资助金额:
    $ 40.1万
  • 项目类别:
Survival analysis and regression in infectious disease epidemiology
传染病流行病学中的生存分析和回归
  • 批准号:
    8535600
  • 财政年份:
    2011
  • 资助金额:
    $ 40.1万
  • 项目类别:
Survival analysis and regression in infectious disease epidemiology
传染病流行病学中的生存分析和回归
  • 批准号:
    8432206
  • 财政年份:
    2011
  • 资助金额:
    $ 40.1万
  • 项目类别:
Survival analysis and regression in infectious disease epidemiology
传染病流行病学中的生存分析和回归
  • 批准号:
    8164352
  • 财政年份:
    2011
  • 资助金额:
    $ 40.1万
  • 项目类别:
Linking transmission models and data analysis in infectious disease epidemiology
将传染病流行病学中的传播模型和数据分析联系起来
  • 批准号:
    7689350
  • 财政年份:
    2008
  • 资助金额:
    $ 40.1万
  • 项目类别:
Linking transmission models and data analysis in infectious disease epidemiology
将传染病流行病学中的传播模型和数据分析联系起来
  • 批准号:
    7540650
  • 财政年份:
    2008
  • 资助金额:
    $ 40.1万
  • 项目类别:
Linking transmission models and data analysis in infectious disease epidemiology
将传染病流行病学中的传播模型和数据分析联系起来
  • 批准号:
    7925681
  • 财政年份:
    2008
  • 资助金额:
    $ 40.1万
  • 项目类别:

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