Quantifying Contact Rates and Mixing Patterns in School Age Children

量化学龄儿童的接触率和混合模式

• 批准号: 8237128
• 负责人: Shanta M Zimmer
• 金额: $ 70万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-31 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8237128
• 关键词: Quantifying; Contact; Rates; Mixing; Patterns

DESCRIPTION (provided by applicant): This two year CDC-funded project will help answer several of the critically important questions regarding social contacts, mixing patterns, and the spread of common infectious diseases in the school-age population. As reinforced by the recent novel H1N1 pandemic, infectious diseases spread efficiently through the school-age population and often arrive at unexpected times before pharmaceutical countermeasures such as vaccines and anti-viral medications are available to the general population. This project will provide data leading to improved understanding of how diseases such as influenza spread among children in school and between children and the community, will lead to more accurate information regarding when, where, and how to intervene using "non-pharmaceutical" and "pharmaceutical" interventions, and improve our ability to respond to pandemic influenza and other diseases in order to reduce illness, save lives, and reduce panic. The project uses both established "diary-based" methods and cutting-edge electronic tools, such as wireless proximity sensors, video, and GPS units to better document the contacts and mixing patterns of school-age children whether they are in school, at home, or in the community. This information will be combined with active disease surveillance and laboratory testing to better understand how and when children are exposed to and develop illness from contagious diseases. For access to schools, the project will use the School-Based Research and Practice Network, a unique program that links academic investigators with schools. The Network has linked more than 100 schools in 29 districts with a wide range of research projects in just the last 2 1/2 years. The project is led by Samuel Stebbins, MD, MPH at the University of Pittsburgh and Derek Cummings, PhD, MS, MHS at the Johns Hopkins Bloomberg School of Public Health. Drs. Stebbins and Cummings have previously collaborated on the Pittsburgh Influenza Prevention Project, a randomized trial studying non-pharmaceutical interventions which recruited more than 3000 elementary school students in Pittsburgh, created an absentee-based surveillance system, screened students for illness and tested them for influenza using RT PCR technology. The project includes experts in social science, infectious disease modeling, social media, peer to peer and sensor networks, and computer programming from the Public Health Dynamics Lab at the University of Pittsburgh and the University of Liverpool in England. It will work with a variety of schools in Pittsburgh and throughout Allegheny County, PA. With a population of more than 1.2 million, a broad range of demographic, economic, and environmental characteristics and a school system that is welcoming and supportive of research, the county is an ideal setting to study population and disease trends.

描述（由申请人提供）：这个由 CDC 资助的为期两年的项目将有助于回答有关社会接触、混合模式以及学龄人口中常见传染病传播的几个至关重要的问题。正如最近新型 H1N1 大流行所强化的那样，传染病在学龄人群中有效传播，并且常常在疫苗和抗病毒药物等药物应对措施提供给普通人群之前在意想不到的时间到达。该项目将提供数据，帮助人们更好地了解流感等疾病如何在学校儿童之间以及儿童与社区之间传播，从而获得有关何时、何地以及如何使用“非药物”和“药物”干预措施进行干预的更准确信息，并提高我们应对大流行性流感和其他疾病的能力，以减少疾病、拯救生命和减少恐慌。该项目使用既定的“基于日记”的方法和尖端的电子工具，例如无线接近传感器、视频和GPS装置，以更好地记录学龄儿童的接触和混合模式，无论他们是在学校、家里还是在社区。这些信息将与积极的疾病监测和实验室检测相结合，以更好地了解儿童如何以及何时接触传染病并患上传染病。为了进入学校，该项目将使用校本研究和实践网络，这是一个将学术研究人员与学校联系起来的独特计划。仅在过去的 2 1/2 年里，该网络就将 29 个地区的 100 多所学校与广泛的研究项目联系起来。该项目由匹兹堡大学医学博士、公共卫生硕士 Samuel Stebbins 和约翰霍普金斯大学彭博公共卫生学院博士、理学硕士、公共卫生硕士 Derek Cummings 领导。博士。 Stebbins 和 Cummings 此前曾合作开展匹兹堡流感预防项目，这是一项研究非药物干预措施的随机试验，在匹兹堡招募了 3000 多名小学生，创建了一个缺勤监测系统，对学生进行疾病筛查，并使用 RT PCR 技术对他们进行流感检测。该项目包括来自匹兹堡大学和英国利物浦大学公共卫生动态实验室的社会科学、传染病建模、社交媒体、点对点和传感器网络以及计算机编程方面的专家。它将与匹兹堡和宾夕法尼亚州阿勒格尼县的多所学校合作。该县人口超过 120 万，具有广泛的人口、经济和环境特征，以及欢迎和支持研究的学校系统，是研究人口和疾病趋势的理想场所。