权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Informatics for zoonotic disease surveillance: combining animal and human data

人畜共患疾病监测信息学：结合动物和人类数据

基本信息

批准号：
8318231
负责人：
MATTHEW SCOTCH
金额：
$ 23.62万
依托单位：
ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-09-30 至 2014-09-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8318231
关键词：
Address Affect Animals Asses Award Bioterrorism Categories Centers for Disease Control and Prevention (U.S.)Collaborations Connecticut Data Development Diagnosis Diagnostic Disease Early Diagnosis Early treatment Electronics Emerging Communicable Diseases Epidemiologist Epidemiology Evaluation Future Grant Health Human Human Resources Incidence Individual Infection Informatics Intervention Interview Laboratories Lead Manuals Modeling Morbidity - disease rate Population Process Public Health Public Health Informatics Reporting Risk Sentinel Source Surveys System Systems Analysis Techniques Technology Testing Veterinarians Work Zoonotic Infection animal data base career comparative data exchange data integration disorder prevention farmer graduate student human data model design mortality novel response satisfaction trend usability

项目摘要

DESCRIPTION (provided by applicant): The majority of emerging infectious diseases that affect humans are zoonotic; diseases that are transmittable between animals and humans. The health of animals can be a sentinel for zoonotic diseases in humans. Unfortunately, most local and state health department epidemiologists do not have automated access to this data. Using data on animal health to predict risk of zoonotic diseases in humans could allow epidemiologists to detect public health threats sooner. Earlier detection means earlier intervention which could lead to less morbidity and mortality. This career award will study this problem by: gaining an understanding of the data and technology needs for zoonotic disease surveillance at the local and state administrative level (Aim 1), applying these needs to the development of a pilot 'animal-human' surveillance system that integrates health data of animals and humans (Aim 2), and evaluating the potential of this novel system for zoonotic disease surveillance (Aim 3). The completion of this 3-step process will establish a framework for integrating health data of animals and humans. Aim 1 will be addressed through a mixed model design using qualitative observation of applied zoonotic surveillance, and an electronic survey to asses the data and technology needs involved in this process. The qualitative portion will consist of observation and interviews of individuals who practice zoonotic surveillance at health departments and diagnostic laboratories in Connecticut. Aim 2 will entail the development of a pilot animal-human zoonotic surveillance system, based on the identified needs from Aim 1, that contains a usability-tested interface for the analysis of disease trends in humans. The final Aim (3) will serve to asses the potential of an animal-human zoonotic surveillance system by conducting a between subjects comparative evaluation of the 'animal-human' system vs. a 'human-only' (a system containing only human public health data). The two systems will be evaluated by current and future professionals (graduate students) in Connecticut for analyzing trends of different zoonotic diseases in humans. This work will provide a framework for integrating animal and human data and demonstrate the potential of this synergy in surveillance of zoonotic disease. It will hopefully lead to the development of powerful surveillance systems in local and state health departments.

描述（由申请人提供）：

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Analysis of Viral Genetics for Estimating Diffusion of Influenza A H6N1.

用于估计甲型 H6N1 流感扩散的病毒遗传学分析。

DOI：
发表时间：
2015
期刊：
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
影响因子：
0
作者：
Scotch,Matthew;Suchard,MarcA;Rabinowitz,PeterM
通讯作者：
Rabinowitz,PeterM

Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing.

概念化用于时空假设检验的新型准连续贝叶斯谱系地理学框架。

DOI：
发表时间：
2015
期刊：
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
影响因子：
0
作者：
Magee,Daniel;Scotch,Matthew
通讯作者：
Scotch,Matthew

Diffusion of influenza viruses among migratory birds with a focus on the Southwest United States.

流感病毒在候鸟中传播，重点是美国西南部。

DOI：
10.1016/j.meegid.2014.05.029
发表时间：
2014
期刊：
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
影响因子：
0
作者：
Scotch,Matthew;Lam,TommyTsan-Yuk;Pabilonia,KristyL;Anderson,Theodore;Baroch,John;Kohler,Dennis;DeLiberto,ThomasJ
通讯作者：
DeLiberto,ThomasJ

Phylogeography of swine influenza H3N2 in the United States: translational public health for zoonotic disease surveillance.

美国猪流感 H3N2 的系统发育地理学：人畜共患疾病监测的转化公共卫生。