Serocalculator: Estimating Incidence Rates from Serological Data

血清计算器：根据血清学数据估算发病率

• 批准号: 10658478
• 负责人: Kristen Aiemjoy
• 金额: $ 23.09万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10658478
• 关键词: Adoption; Animals; Antibodies; Antibody Response; Archives; Code; Communicable Diseases; Communities; Computer software; Cross-Sectional Studies; Data; Data Analyses; Data Science; Data Set; Databases; Development; Disease; Disease Surveillance; Documentation; Education; Educational Curriculum; Educational workshop; Epidemiology; Funding Opportunities; Future; Human; Incidence; Individual; Infection; Intervention; Language; Licensing; Maintenance; Manuals; Measures; Methodology; Methods; Modeling; National Institute of Allergy and Infectious Disease; Population; Preparation; Programming Languages; Public Health; Publishing; Reporting; Research Personnel; Scientist; Serology; Serum; Signal Transduction; Site Visit; Statistical Computing; Statistical Data Interpretation; Testing; Training; Visualization; Work; burden of illness; catalyst; computerized data processing; data cleaning; data de-identification; disease diagnostic; disorder control; epidemiology study; experience; graphical user interface; individual variation; innovation; novel; open source; pathogen; population survey; repository; response; serosurvey; simulation; symposium; theories; tool; user-friendly

PROJECT ABSTRACT Public health scientists lack reliable data on the burden of many infectious diseases, which is a barrier to effective control measures. Seroepidemiology provides an efficient means to generate unbiased estimates of disease burden such as seroincidence, the rate at which new infections occur in a population. This project supports the development of an open-source R software package, called serocalculator, to generate seroincidence estimates from cross-sectional population surveys of serologic antibody response data. Our package will implement an innovative statistical approach for estimating seroincidence that leverages information about antibody waning from confirmed cases and overcomes many methodological challenges that have stymied other approaches. Our specific aims are: Aim 1) Build an open-source, free-to-use R software package for estimating incidence from cross-sectional serosurveys that is efficient, reliable, and user-friendly and Aim 2) Enable widespread adoption and sustainable use of our serocalculator R package through open-source access, a graphical user interface for non-R- users, and a training curriculum. Our software will fill a gap between theory and practice by equipping a new community of users with a tool to efficiently estimate incidence from cross- sectional serosurveys. We expect this tool will be used to generate incidence estimates for a range of infectious diseases, providing critical information needed to inform disease control interventions and ultimately reduce the burden of disease.

项目摘要 公共卫生科学家缺乏关于许多传染病负担的可靠数据，这是一种 有效控制措施的障碍。血清流行病学提供了一种有效的手段 对疾病负担的公正估计，如血清发病率、新感染率 发生在人群中。该项目支持开源R软件的开发 称为血清计算器的程序包，用于根据横断面数据生成血清发病率估计 血清学抗体反应数据的人群调查。我们的包将实现一个 利用以下信息估计血清发病率的创新统计方法 确诊病例的抗体减弱，克服了许多方法学挑战 阻碍了其他方法。我们的具体目标是：目标1)构建一个开源、免费使用的 用于从横断面血清调查中估计发病率的R软件包是有效的， 可靠、用户友好和Aim 2)支持广泛采用和可持续使用我们的 Serocalculator R包通过开源获取，图形用户界面为非R- 用户，以及培训课程。我们的软件将填补理论和实践之间的空白 为新的用户社区配备一种工具，以有效地估计来自 剖面式血清学调查。我们预计此工具将用于生成 传染病的范围，为疾病控制提供所需的关键信息 干预措施，并最终减轻疾病负担。