標題: Titlebook: Biosurveillance and Biosecurity; International Worksh Daniel Zeng,Hsinchun Chen,Bill Lober Conference proceedings 2008 Springer-Verlag Berl [打印本頁] 作者: 閘門 時間: 2025-3-21 19:14
書目名稱Biosurveillance and Biosecurity影響因子(影響力)
書目名稱Biosurveillance and Biosecurity影響因子(影響力)學(xué)科排名
書目名稱Biosurveillance and Biosecurity網(wǎng)絡(luò)公開度
書目名稱Biosurveillance and Biosecurity網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Biosurveillance and Biosecurity被引頻次
書目名稱Biosurveillance and Biosecurity被引頻次學(xué)科排名
書目名稱Biosurveillance and Biosecurity年度引用
書目名稱Biosurveillance and Biosecurity年度引用學(xué)科排名
書目名稱Biosurveillance and Biosecurity讀者反饋
書目名稱Biosurveillance and Biosecurity讀者反饋學(xué)科排名
作者: thrombosis 時間: 2025-3-22 00:13 作者: crescendo 時間: 2025-3-22 00:52 作者: 情愛 時間: 2025-3-22 07:17 作者: accordance 時間: 2025-3-22 11:17
Public Health Preparedness Informatics Infrastructure. A Case Study in Integrated Surveillance and Ralerting, situational awareness, emergency planning and response, resource assessment and management. These systems are optimized when embedded within an informatics framework supporting a community of information trading partners engaged in routine health information exchange. Seasonal influenza (f作者: 女上癮 時間: 2025-3-22 13:59
Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilitiesurrence data between USDA-controlled food processing establishments and various strains of Salmonella (serotypes) as a network which evolves over time. We apply a latent space model originally developed for dynamic analysis of social networks to predict the future link structure of the graph. Experi作者: 外科醫(yī)生 時間: 2025-3-22 18:09
Network-Based Analysis of Beijing SARS Data were constructed and analyzed, including the patient contact network, the weighted location (district) network, and the weighted occupation network. We demonstrate that a network-based data analysis framework can help evaluate various control strategies. For instance, in the case of SARS, a general作者: 賞錢 時間: 2025-3-22 21:35 作者: 沙漠 時間: 2025-3-23 04:04 作者: Onerous 時間: 2025-3-23 08:36
A Temporal Extension of the Bayesian Aerosol Release Detectorization of outdoor aerosol releases of .. Recent research has shown promising results of early detection using Bayesian inference from syndromic data in conjunction with meteorological and geographical data [1]. Here we propose an extension of this algorithm that models multiple days of syndromic da作者: LIEN 時間: 2025-3-23 12:59 作者: 千篇一律 時間: 2025-3-23 13:59 作者: GRE 時間: 2025-3-23 18:48
Test Power for Drug Abuse Surveillanceer of three syndromic surveillance procedures (a paired-sample test, a process control chart, and a conditional autoregressive model) for detecting change in opioid drug abuse patterns, using data from two reporting systems (the OTP and PCC datasets). We find that the conditional autoregressive mode作者: 甜得發(fā)膩 時間: 2025-3-24 00:31 作者: 總 時間: 2025-3-24 05:41 作者: Cognizance 時間: 2025-3-24 06:48 作者: Constrain 時間: 2025-3-24 12:35 作者: AER 時間: 2025-3-24 17:39
Spatial Regression-Based Environmental Analysis in Infectious Disease Informaticse been focused on temporal correlations among environmental risks and infectious disease outbreaks. In this paper, we advocate the importance of spatial data analysis in infectious disease-related environmental analysis. Using data from the Beijing CDC, we have conducted spatial regression analysis 作者: 憤怒事實 時間: 2025-3-24 23:05
https://doi.org/10.1007/978-3-540-89746-0Bio-event detection; Biosurveillance; GIS; HCI; Information sharing; Privacy; Simulation; Social networks; a作者: arousal 時間: 2025-3-25 00:07
978-3-540-89745-3Springer-Verlag Berlin Heidelberg 2008作者: HEPA-filter 時間: 2025-3-25 04:22 作者: obstinate 時間: 2025-3-25 07:33 作者: 致命 時間: 2025-3-25 14:17 作者: FLIC 時間: 2025-3-25 18:40
Learning and Collaboration Technologieshlight the need for real-time information exchange to enhance government’s awareness and understanding of public health events in order to detect and respond as those events unfold. This paper describes the planned approach of the Centers for Disease Control and Prevention (CDC)’s Office of Critical作者: 征服 時間: 2025-3-25 23:12 作者: 不可比擬 時間: 2025-3-26 01:51 作者: 喃喃訴苦 時間: 2025-3-26 06:47
Karim Elia Fraoua,Christian Bourretn, it is necessary to be capable to forecast significant changes of infectious diseases for emergency preparation purpose. Foresight China Project aims at exploring a new method by identifying the drivers of infectious diseases and predicting the trends of these drivers.作者: Demonstrate 時間: 2025-3-26 09:19 作者: modest 時間: 2025-3-26 12:59
https://doi.org/10.1007/978-3-030-21814-0urrence data between USDA-controlled food processing establishments and various strains of Salmonella (serotypes) as a network which evolves over time. We apply a latent space model originally developed for dynamic analysis of social networks to predict the future link structure of the graph. Experi作者: uveitis 時間: 2025-3-26 18:19
Panayiotis Zaphiris,Andri Ioannou were constructed and analyzed, including the patient contact network, the weighted location (district) network, and the weighted occupation network. We demonstrate that a network-based data analysis framework can help evaluate various control strategies. For instance, in the case of SARS, a general作者: jumble 時間: 2025-3-26 22:25
Lecture Notes in Computer Scienceosecurity. We use the methods of Algebraic Computational SNA and of Topological Quantum Computation. The Tutte polynomial is used to describe both the evolution of a social network as the reduced network when some nodes are deleted in an original network and the basic reproductive number for a spati作者: Default 時間: 2025-3-27 03:31
https://doi.org/10.1007/978-3-030-21814-0 of anthrax. A major challenge in modeling a population’s exposure to aerosol anthrax is to accurately estimate the exposure level of each individual. In part, this challenge stems from the fact that the only spatial information routinely contained in the biosurveillance databases is the residential作者: ureter 時間: 2025-3-27 07:25
Sonia Sousa,David Lamas,Paulo Diasization of outdoor aerosol releases of .. Recent research has shown promising results of early detection using Bayesian inference from syndromic data in conjunction with meteorological and geographical data [1]. Here we propose an extension of this algorithm that models multiple days of syndromic da作者: 處理 時間: 2025-3-27 11:39
Nor’ain Mohd Yusoff,Siti Salwah Salim semi-synthetic data for algorithm evaluation, we compared ZMSC with the .[1], a temporal algorithm, and two spatial clustering algorithms: .[2] and .[3]. ROC curve analysis shows that ZMSC has better discriminatory ability than the three compared algorithms. ZMSC demonstrated significant computatio作者: nitroglycerin 時間: 2025-3-27 15:03 作者: AWRY 時間: 2025-3-27 19:30 作者: Daily-Value 時間: 2025-3-27 23:41 作者: 勤勞 時間: 2025-3-28 03:41
https://doi.org/10.1007/978-3-031-05657-4g detection algorithms used in disease surveillance systems. The simulator is controlled via intuitive parameters that describe features of the outbreak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of beha作者: 過份好問 時間: 2025-3-28 07:30
Martha Elena Nu?ez,Miguel X. Rodriguez-Pazal trend. A database was built and data were fitted with Excel. ARIMA analysis and prediction were made with SPSS. Data from 1957 to 2001 were used for modeling. Data from 2002 to 2004 were used to validate the precision of the model. The incidence of scarlet fever in the downtown area of Beijing si作者: 關(guān)心 時間: 2025-3-28 11:23
Rhiannon Thomas Jha,Sara Price,Alison Motion Ni?o/Southern Oscillation (ENSO) affects weather worldwide and in East Africa is associated with flooding and Rift Valley fever, a mosquito-borne viral disease of economically important livestock and humans. Following a regional ENSO-associated outbreak in 1997-1998, several agencies created a syst作者: harrow 時間: 2025-3-28 16:58 作者: 敏捷 時間: 2025-3-28 19:22 作者: 同時發(fā)生 時間: 2025-3-29 00:08
Karim Elia Fraoua,Christian Bourretn, it is necessary to be capable to forecast significant changes of infectious diseases for emergency preparation purpose. Foresight China Project aims at exploring a new method by identifying the drivers of infectious diseases and predicting the trends of these drivers.作者: 褻瀆 時間: 2025-3-29 06:13 作者: 負擔(dān) 時間: 2025-3-29 08:55 作者: 冷峻 時間: 2025-3-29 14:57
Hsinfu Huang,Chin-wei Chen,Yuan-wei Hsiehls. The presence of an established integrated informatics framework for health information exchange in NY State conveyed significant advantages in advanced preparedness and just-in-time response to the event. This paper describes how the framework supported and enhanced the efficacy of NY’s response作者: NAUT 時間: 2025-3-29 16:10 作者: 槍支 時間: 2025-3-29 22:37 作者: Coronation 時間: 2025-3-30 03:46
0302-9743 eigh, NC, USA, in December 2008. The 18 revised full papers presented together with one invited paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on informatics infrastructure and policy considerations; network-based data analytics; bi作者: STING 時間: 2025-3-30 05:27 作者: 積習(xí)難改 時間: 2025-3-30 11:52 作者: 精確 時間: 2025-3-30 15:52
https://doi.org/10.1007/978-3-031-05657-4ak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.作者: Invigorate 時間: 2025-3-30 18:30 作者: Presbycusis 時間: 2025-3-30 21:17 作者: Adenoma 時間: 2025-3-31 04:51
Simulation of Multivariate Spatial-Temporal Outbreak Data for Detection Algorithm Evaluationak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.作者: 釋放 時間: 2025-3-31 08:13 作者: Consensus 時間: 2025-3-31 09:15
Panagiotis Germanakos,Ludwig Fichtes and for the dissemination of information about these events to other agencies. It will introduce a structured relational database model for events, an ontology for infectious disease events, and a semantic web representation. The strengths and weaknesses of the three approaches and future directions will be discussed.作者: cloture 時間: 2025-3-31 13:21
https://doi.org/10.1007/978-3-030-21814-0endently of each other. The model can be used to predict occurrences of a particular strain of Salmonella in the future. That could potentially aid in proactive monitoring of establishments at risk, allowing for early intervention and mitigation of adverse consequences to public health.作者: Virtues 時間: 2025-3-31 19:11 作者: FRET 時間: 2025-4-1 00:34 作者: Observe 時間: 2025-4-1 05:47
Bio-surveillance Event Models, Open Source Intelligence, and the Semantic Webs and for the dissemination of information about these events to other agencies. It will introduce a structured relational database model for events, an ontology for infectious disease events, and a semantic web representation. The strengths and weaknesses of the three approaches and future directions will be discussed.作者: antedate 時間: 2025-4-1 09:22
