Toward the Design of a Robust Bioterrorism Information System to Enhance National Security

Author(s):  
Leila Shokrizadeh Arani

In an objective sense, security measures the absence of threats to acquired values, whereas, in a subjective sense, it refers to the absence of fear that such values will be attacked. Bioterrorism is a threat. Therefore, any threat to the country's vital goals and security components, such as population, land, and property, is a national security threat. Establishing a robust information system is critical for detecting Bioterrorism outbreak, which is considered a threat to national security. Real-time surveillance and monitoring, fast communication, data collection, and analysis at the regional and national level are the main functions of this information system. Early detection of bioterrorism is an important step in national security promotion. If the BIS is appropriately designed based on critical factors such as multidimensional, real-time, manage by the security agency, and have the capability for pattern recognition and detection, it will more effectively manage bioterrorism attacks by relying on its capabilities, features, and technologies. Therefore, this study investigates the features and capabilities of the Bioterrorism Information System (BIS) in national security improvement and promotion.

Author(s):  
Leila Shokrizadeh Arani

In an objective sense, security measures the absence of threats to acquired values, whereas, in a subjective sense, it refers to the absence of fear that such values will be attacked. Bioterrorism is a threat. Therefore, any threat to the country's vital goals and security components, such as population, land, and property, is a national security threat. Establishing a robust information system is critical for detecting Bioterrorism outbreak, which is considered a threat to national security. Real-time surveillance and monitoring, fast communication, data collection, and analysis at the regional and national level are the main functions of this information system. Early detection of bioterrorism is an important step in national security promotion. If the BIS is appropriately designed based on critical factors such as multidimensional, real-time, manage by the security agency, and have the capability for pattern recognition and detection, it will more effectively manage bioterrorism attacks by relying on its capabilities, features, and technologies. Therefore, this study investigates the features and capabilities of the Bioterrorism Information System (BIS) in national security improvement and promotion.


2020 ◽  
Vol 5 (7) ◽  
pp. e002203
Author(s):  
Faisal Shuaib ◽  
Abdullahi Bulama Garba ◽  
Emmanuel Meribole ◽  
Samuel Obasi ◽  
Adamu Sule ◽  
...  

In 2010, Nigeria adopted the use of web-based software District Health Information System, V.2 (DHIS2) as the platform for the National Health Management Information System. The platform supports real-time data reporting and promotes government ownership and accountability. To strengthen its routine immunisation (RI) component, the US Centers for Disease Control and Prevention (CDC) through its implementing partner, the African Field Epidemiology Network-National Stop Transmission of Polio, in collaboration with the Government of Nigeria, developed the RI module and dashboard and piloted it in Kano state in 2014. The module was scaled up nationally over the next 4 years with funding from the Bill & Melinda Gates Foundation and CDC. One implementation officer was deployed per state for 2 years to support operations. Over 60 000 RI healthcare workers were trained on data collection, entry and interpretation and each local immunisation officer in the 774 local government areas (LGAs) received a laptop and stock of RI paper data tools. Templates for national-level and state-level RI bulletins and LGA quarterly performance tools were developed to promote real-time data use for feedback and decision making, and enhance the performance of RI services. By December 2017, the DHIS2 RI module had been rolled out in all 36 states and the Federal Capital Territory, and all states now report their RI data through the RI Module. All states identified at least one government DHIS2 focal person for oversight of the system’s reporting and management operations. Government officials routinely collect RI data and use them to improve RI vaccination coverage. This article describes the implementation process—including planning and implementation activities, achievements, lessons learnt, challenges and innovative solutions—and reports the achievements in improving timeliness and completeness rates.


2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.


2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Rusmadi Suyuti

Traffic information condition is a very useful  information for road user because road user can choose his best route for each trip from his origin to his destination. The final goal for this research is to develop real time traffic information system for road user using real time traffic volume. Main input for developing real time traffic information system is an origin-destination (O-D) matrix to represent the travel pattern. However, O-D matrices obtained through a large scale survey such as home or road side interviews, tend to be costly, labour intensive and time disruptive to trip makers. Therefore, the alternative of using traffic counts to estimate O-D matrices is particularly attractive. Models of transport demand have been used for many years to synthesize O-D matrices in study areas. A typical example of the approach is the gravity model; its functional form, plus the appropriate values for the parameters involved, is employed to produce acceptable matrices representing trip making behaviour for many trip purposes and time periods. The work reported in this paper has combined the advantages of acceptable travel demand models with the low cost and availability of traffic counts. Two types of demand models have been used: gravity (GR) and gravity-opportunity (GO) models. Four estimation methods have been analysed and tested to calibrate the transport demand models from traffic counts, namely: Non-Linear-Least-Squares (NLLS), Maximum-Likelihood (ML), Maximum-Entropy (ME) and Bayes-Inference (BI). The Bandung’s Urban Traffic Movement survey has been used to test the developed method. Based on several statistical tests, the estimation methods are found to perform satisfactorily since each calibrated model reproduced the observed matrix fairly closely. The tests were carried out using two assignment techniques, all-or-nothing and equilibrium assignment.  


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hongyun Xie ◽  
Haixia Gu ◽  
Chao Lu ◽  
Jialin Ping

Real-time Simulation (RTS) has long been used in the nuclear power industry for operator training and engineering purposes. And, online simulation (OLS) is based on RTS and with connection to the plant information system to acquire the measurement data in real time for calibrating the simulation models and following plant operation, for the purpose of analyzing plant events and providing indicative signs of malfunctioning. OLS has been applied in certain industries to improve safety and efficiency. However, it is new to the nuclear power industry. A research project was initiated to implement OLS to assist operators in certain critical nuclear power plant (NPP) operations to avoid faulty conditions. OLS models were developed to simulate the reactor core physics and reactor/steam generator thermal hydraulics in real time, with boundary conditions acquired from plant information system, synchronized in real time. The OLS models then were running in parallel with recorded plant events to validate the models, and the results are presented.


Author(s):  
Kenneth E. Kunkel ◽  
Stanley A. Changnon ◽  
Carl G. Lonnquist ◽  
James R. Angel

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