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有关许多传染病负担的可靠数据，这是 有效控制措施的障碍。 SeroEpideMiology提供了一种有效的方法来生成 疾病负担的无偏估计值，例如血清症，新感染的速度 发生在人群中。该项目支持开源软件的开发 包装，称为血清估计器，以产生横截面的血清含量估计值 血清学抗体反应数据的种群调查。我们的软件包将实现 估计血清肯定的创新统计方法，以利用有关 抗体从确认的病例中消失，克服了许多方法论挑战 是否阻碍了其他方法。我们的具体目的是：目标1）建立开源，免费使用 R软件包，用于估算有效的横截面血清神父的发病率， 可靠，用户友好和目标2）启用广泛采用和可持续使用我们的 Serocalculator R包通过开源访问，这是非R-的图形用户界面 用户和培训课程。我们的软件将通过 为新的用户社区提供一种工具，以有效估计交叉的发生率 截面血清保护层。我们希望该工具将用于生成一个 传染病范围，提供为疾病控制提供信息所需的关键信息 干预措施，最终减轻疾病负担。