Computational Models of Infectious Disease Threats

传染病威胁的计算模型

基本信息

批准号：
7688793
负责人：
DONALD SCOTT BURKE
金额：
$ 5.83万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-05-01 至 2009-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7688793
关键词：
AIDS therapy AIDS/HIV problem Academy Acquired Immunodeficiency Syndrome Affect Airborne Particulate Matter Algorithms American Americas Animal Experimentation Appendix Archives Area Arthropod Vectors Award Bacteria Beds Bioinformatics Biological Biometry Biotechnology Bioterrorism Books Borrelia Climate Clinical Clinical Research Clinical Trials Collaborations Collection Communicable Diseases Communities Complex Computer Simulation Computer software Condition Contact Tracing Data Data Analyses Data Set Decision Making Decision Theory Demography Dengue Dengue Hemorrhagic Fever Detection Development Dialysis procedure Disease Docking Doctor of Medicine Doctor of Philosophy Earthquakes Ecology Economics Educational process of instructing Ehrlichia Emergency Situation Emerging Communicable Diseases Encephalitis Engineering Environmental Engineering technology Environmental Health Epidemic Epidemiologic Methods Epidemiologic Studies Epidemiology Event Evolution Facility Construction Funding Category Faculty Foot-and-Mouth Disease Frequencies Game Theory Genetic Genetic Programming Geographic Information Systems Geography Glass Goals HIV Hantavirus Head Health Health Policy Healthcare Hepatitis E Human Human Resources Hygiene Imagery Immunity Immunology Incidence Individual Infectious Agent Infectious Disease Epidemiology Influenza Informatics Information Services Institute of Medicine (U.S.)Institutes Institution Interdisciplinary Study Internal Medicine International Internet Intervention Joints Journals Knowledge Laboratories Laboratory Research Laboratory Study Lead Legal patent Leptospira Libraries Location London Lung Machine Learning Maintenance Malaria Maryland Master&apos s Degree Mathematical Biology Mathematics Measles Measures Mechanics Methods Microbiology Military Personnel Modeling Modified Smallpox Molecular National Institute of General Medical Sciences National Security New York Nonlinear Dynamics Nonparametric Statistics Observational Study Oceanography Outcome Paper Pattern Physical Dialysis Play Policies Policy Maker Population Positioning Attribute Predisposition Pregnancy Outcome Prevention strategy Preventive Principal Investigator Prion Diseases Procedures Process Provider Proxy Public Health Public Health Schools Public Policy Publications Publishing Purpose Quarantine Rate Recording of previous events Reference Standards Relative (related person)Research Research Institute Research Methodology Research Personnel Rickettsia Risk Assessment Rodent Role Route Schedule Schools Science Scientist Screening procedure Security Series Severe Acute Respiratory Syndrome Signal Transduction Simulate Smallpox Social Network Social Sciences Societies Software Tools Space Flight Statistical Computing Statistical Models Structure Students System Systems Analysis Testing Theoretical model Time Time Series Analysis Training Tropical Medicine U-Series Cooperative Agreements Uncertainty United States United States National Academy of Sciences United States National Aeronautics and Space Administration Universities Vaccination Variant Vector-transmitted infectious disease Violence Viral Viral Hemorrhagic Fevers Virus Virus Diseases Visual Weather West Nile virus Work base biosecurity c new college computer science concept design disease natural history disease transmission disorder prevention disorder risk editorial experience improved indexing infectious disease model insight interest mathematical model member microbial models and simulation network models pathogen peer predictive modeling prevent professor programs remote sensing respiratory simulation skills social social organization sound theories tool transmission process user-friendly vaccination strategy

项目摘要

DESCRIPTION (provided by applicant): Microbial threats, including bioterrorism and naturally emerging infectious diseases, pose a serious challenge to national security in the United States and to health worldwide. This proposal describes the creation of a center for computational modeling of infectious diseases at the Johns Hopkins Bloomberg School of Public Health, with the collaboration of key experts at the Brookings Institution, the National Aeronautic and Space Administration, the University of Maryland, and Imperial College (London). The overarching aim of this project is to integrate the most advanced and powerful techniques of epidemiological data analysis with those of computer simulation (agent-based modeling) to produce a unified computational epidemiology that is scientifically sound, highly visual and user-friendly, and responsive to biosecurity and public health policy requirements. Data analysis will be guided by the insight that epidemic patterns over space and time can be approached as nearly decomposable systems, in which frequency components of the incidence signal can be isolated and studied. Wavelet transforms, and empiric mode decomposition using Hilbert-Huang Transforms, will be used to sift nonlinear, nonstationary epidemiological data, allowing frequency band patterns to be defined. Isolated frequency modes will then be associated with external forcing (weather, social contact patterns) and internal dynamics (Kermack-McKendrick predator-prey models). Results of the epidemiological data decomposition analysis, along with the knowledge of infectious disease experts, will instruct the creation and development of agent-based models. Such models feature populations of mobile individuals in artificial societies that interact locally with other individuals. Features of the basic model include variable social network structures, individual susceptibility and immunity, incubation periods, transmission rates, contact rates, and other selectable parameters. After the agent-based model is calibrated to generate epidemic patterns consistent with real world epidemiology, preventive strategies including vaccination, contact tracing, isolation, quarantine, and other public health measures will be systematically introduced and their impact evaluated. Methods will be developed for assessing the utility of individual models, and for making decisions based on combined results from more than one model. Infectious diseases to be studied initially include smallpox, SARS, dengue, West Nile, and unknown but hypothetically plausible agents. As part of a Cooperative Agreement, the Center will work with other research groups, a bioinformatics core group, and the NIGMS to develop data sets, software and methods, agent-based models, and visualization tools. In an infectious disease epidemic emergency the Center will redirect its activities to serve the nation's security, as guided by the NIGMS.

描述（由申请人提供）：微生物威胁，包括生物恐怖主义和自然出现的传染病，对美国的国家安全和全世界的健康构成严重挑战。该提案描述了在布鲁金斯学会、美国国家航空航天局、马里兰大学和帝国理工学院的主要专家的合作下，在约翰·霍普金斯大学彭博公共卫生学院创建传染病计算模型中心（伦敦）。该项目的总体目标是将最先进、最强大的流行病学数据分析技术与计算机模拟（基于代理的建模）技术相结合，以产生科学合理、高度可视化、用户友好且响应迅速的统一计算流行病学。生物安全和公共卫生政策要求。数据分析将以这样的见解为指导：空间和时间上的流行病模式可以被视为近乎可分解的系统，其中可以分离和研究发病信号的频率分量。小波变换和使用希尔伯特-黄变换的经验模式分解将用于筛选非线性、非平稳流行病学数据，从而定义频带模式。然后，孤立的频率模式将与外部强迫（天气、社会接触模式）和内部动态（Kermack-McKendrick 捕食者-猎物模型）相关联。流行病学数据分解分析的结果以及传染病专家的知识将指导基于代理的模型的创建和开发。这些模型以人工社会中的移动个体群体为特征，这些个体在本地与其他个体进行交互。基本模型的特征包括可变的社交网络结构、个体易感性和免疫力、潜伏期、传播率、接触率和其他可选参数。在对基于主体的模型进行校准以生成与现实世界流行病学一致的流行模式后，将系统地引入包括疫苗接种、接触者追踪、隔离、检疫和其他公共卫生措施在内的预防策略并评估其影响。将开发方法来评估单个模型的效用，并根据多个模型的综合结果做出决策。最初要研究的传染病包括天花、SARS、登革热、西尼罗河以及未知但假设合理的病原体。作为合作协议的一部分，该中心将与其他研究小组、生物信息学核心小组和 NIGMS 合作开发数据集、软件和方法、基于代理的模型和可视化工具。在传染病流行紧急情况下，该中心将按照 NIGMS 的指导调整其活动方向，为国家安全服务。

项目成果

期刊论文数量（26）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Antiviral medications for pregnant women for pandemic and seasonal influenza: an economic computer model.

DOI：
10.1097/aog.0b013e3181bdbfed
发表时间：
2009-11
期刊：
Obstetrics and gynecology
影响因子：
7.2
作者：
Lee BY;Bailey RR;Wiringa AE;Assi TM;Beigi RH
通讯作者：
Beigi RH

The impact of heterogeneous transmission on the establishment and spread of antimalarial drug resistance.

DOI：
10.1016/j.jtbi.2013.09.022
发表时间：
2014-01-07
期刊：
JOURNAL OF THEORETICAL BIOLOGY
影响因子：
2
作者：
Klein, Eili Y.
通讯作者：
Klein, Eili Y.

The potential economic value of a Staphylococcus aureus vaccine for neonates.

新生儿金黄色葡萄球菌疫苗的潜在经济价值。

DOI：
10.1016/j.vaccine.2010.04.069
发表时间：
2010
期刊：
Vaccine
影响因子：
5.5
作者：
Lee,BruceY;Ufberg,PaulJ;Bailey,RachelR;Wiringa,AnnE;Smith,KennethJ;Nowalk,AndrewJ;Higgins,Conor;Wateska,AngelaR;Muder,RobertR
通讯作者：
Muder,RobertR

Hospital-community interactions foster coexistence between methicillin-resistant strains of Staphylococcus aureus.