Recent Submissions

  • Unlink the link between COVID-19 and 5G Networks: an NLP and SNA based approach

    Bahja, Mohammed; Safdar, Ghazanfar Ali; University of Birmingham; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2020-11-18)
    Social media facilitates rapid dissemination of information for both factual and fictional information. The spread of non-scientific information through social media platforms such as Twitter has potential to cause damaging consequences. Situations such as the COVID-19 pandemic provides a favourable environment for misinformation to thrive. The upcoming 5G technology is one of the recent victims of misinformation and fake news and has been plagued with misinformation about the effects of its radiation. During the COVID-19 pandemic, conspiracy theories linking the cause of the pandemic to 5G technology have resonated with a section of people leading to outcomes such as destructive attacks on 5G towers. The analysis of the social network data can help to understand the nature of the information being spread and identify the commonly occurring themes in the information. The natural language processing (NLP) and the statistical analysis of the social network data can empower policymakers to understand the misinformation being spread and develop targeted strategies to counter the misinformation. In this paper, NLP based analysis of tweets linking COVID-19 to 5G is presented. NLP models including Latent Dirichlet allocation (LDA), sentiment analysis (SA) and social network analysis (SNA) were applied for the analysis of the tweets and identification of topics. An understanding of the topic frequencies, the inter-relationships between topics and geographical occurrence of the tweets allows identifying agencies and patterns in the spread of misinformation and equips policymakers with knowledge to devise counter-strategies.
  • Detecting advance fee fraud using NLP bag of word model

    Hamisu, Muhammad; Mansour, Ali; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2021-05-25)
    Advance Fee Fraud (AFF) is a form of Internet fraud prevalent within the Cybercrimes domain in literature. Evidence shows that huge financial assets are stolen from the global economy as a result of AFF. Consequently, this paper presents a fraudulent email classifier (FEC) that detects and classifies an email as fraudulent or non-fraudulent using Natural Language Process (NLP) model referred to as Bag-of-Words (BoW). The classifier is designed and trained to detect and classify AFF that originate from known sources using Nigeria as a Case study. Dataset is obtained and used for the training while testing the classifier logs. Experimentally, the classifier was trained using various machine learning algorithms with BoW generated as predictors. By selecting the best algorithms, the classifier was tested and found to perform satisfactorily.
  • Analysis of cybercrime in Nigeria

    Hamisu, Muhammad; Idris, Abubakar Muhammad; Mansour, Ali; Olalere, Morufu; University of Bedfordshire; Federal University of Technology, Minna, Nigeria (Institute of Electrical and Electronics Engineers Inc., 2021-05-25)
    Nigeria has both the largest economy and population in Africa, and this contribute to the growth and fast expansion of ICT and the use of Internet in Nigeria. Like other technologies, Internet has been used by both good and bad actors. The use of internet and computer to commit crime is costing global economy the loss of billions of dollars. In Nigeria, the majority of the population use the Internet for good but some few are using it to commit criminal activities such as Fraud. Cybercriminals in Nigeria, widely called Yahoo Boys in the country specialize in Internet fraud that target mostly International victims. The Nigeria government is stepping efforts to bring an end the activities of these criminals as their actions tarnishes the image of the country. While the efforts of the government had yielded some positive results, the threat of Cybercrime in Nigeria is still high, as criminals continue to take advantage of flaws in the law enforcement tactical approach in addressing the crime. This paper discusses an overview of Cybercrime in Nigeria, the common types of Cybercrime that is perpetuated from the country and the reason of doing so. It also discusses the government's success and areas of strength in its fight against Cybercrime and highlight the areas of weaknesses. Recommendations and suggestions are made on how law enforcement and the government at large can improve to tackle Cybercrime better in Nigeria.
  • Interference system for high pressure environment

    Kumpulainen, Tero; Singh, Amandeep; März, Thomas; Dong, Litong; Li, Dayou; Reuna, Jarno; Vihinen, Jorma; Levänen, Erkki; Tampere University; InnoLas Laser GmbH; et al. (Elsevier Ltd, 2021-05-29)
    Laser interference patterning or lithography has been used in variety of the applications using, patterning, masking and processing structures at top of material. It offers fast processing over as large areas can be processed simultaneously. Additionally, fine patterns are possible to achieve both in micro and sub-micro scale. In this manuscript is presented novel concept to combine interference patterning and high-pressure processing environment. With aid of high-pressure system, it is possible to control processing environment and add co-solvents in desired state (liquid, gas, supercritical) and use developed system as controlled reactive environment in the future studies. Two systems were developed and assembled for testing and proofing the concept. The results of the two 4-beam interference systems (lens- and mirror-based) are presented and compared.
  • Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks

    Ashfaq, Khuram; Safdar, Ghazanfar Ali; Ur-Rehman, Masood; ; University of Bedfordshire; University of Glasgow (PeerJ, 2021-05-18)
    Wireless links are fast becoming the key communication mode. However, as compared to the wired link, their characteristics make the traffic prone to time- and location-dependent signal attenuation, noise, fading, and interference that result in time varying channel capacities and link error rate. Scheduling algorithms play an important role in wireless links to guarantee quality of service (QoS) parameters such as throughput, delay, jitter, fairness and packet loss rate. The scheduler has vital importance in current as well as future cellular communications since it assigns resource block (RB) to different users for transmission. Scheduling algorithm makes a decision based on the information of link state, number of sessions, reserved rates and status of the session queues. The information required by a scheduler implemented in the base station can easily be collected from the downlink transmission. This paper reflects on the importance of schedulers for future wireless communications taking LTE-A networks as a case study. It compares the performance of four well-known scheduling algorithms including round robin (RR), best channel quality indicator (BCQI), proportional fair (PF), and fractional frequency reuse (FFR). The performance of these four algorithms is evaluated in terms of throughput, fairness index, spectral efficiency and overall effectiveness. System level simulations have been performed using a MATLAB based LTE-A Vienna downlink simulator. The results show that the FFR scheduler is the best performer among the four tested algorithms. It also exhibits flexibility and adaptability for radio resource assignment.
  • The influence of different liquid environments on the atomic force microscopy detection of living bEnd.3 cells

    Jin, Yan; Sun, Baishun; Xie, Chenchen; Liu, Yan; Song, Zhengxun; Xu, Hongmei; Wang, Zuobin; Changchun University of Science and Technology; University of Bedfordshire (Royal Society of Chemistry, 2021-05-10)
    Atomic force microscopy (AFM) is one of the most important tools in the field of biomedical science, and it can be used to perform the high-resolution three-dimensional imaging of samples in liquid environments to obtain their physical properties (such as surface potentials and mechanical properties). The influence of the liquid environment on the image quality of the sample and the detection results cannot be ignored. In this work, quantitative imaging (QI) mode AFM imaging and mechanical detection were performed on mouse brain microvascular endothelial (bEnd.3) cells in different liquid environments. The gray-level variance product (SMD2) function was used to evaluate the imaging quality of the cells in liquids with different physical properties, and the variations in cell mechanical properties were quantitatively analyzed. An AFM detection liquid containing less ions and organics compared with the traditional culture medium, which is beneficial for improving the imaging quality, is introduced, and it shows similar mechanical detection results within 3 h. This can greatly reduce the detection costs and could have positive significance in the field of AFM living-cell detection.
  • Study of NSCLC cell migration promoted by NSCLC-derived extracellular vesicle using atomic force microscopy

    Wang, Shuwei; Wang, Jiajia; Ju, Tuoyu; Yang, Fan; Qu, Kaige; Liu, Wei; Wang, Zuobin; Jilin University; Changchun University of Science and Technology; University of Bedfordshire (Royal Society of Chemistry, 2021-02-16)
    Extracellular vesicles (EVs) secreted by cancer cells play a key role in the cancer microenvironment and progression. Previous studies have mainly focused on molecular functions, cellular components and biological processes using chemical and biological methods. However, whether the mechanical properties of cancer cells change due to EVs remains poorly understood. This work studies the effects of mechanical changes in non-small cell lung cancer (NSCLC) cells after treatment with EVs on migration by atomic force microscopy (AFM). Different concentrations of EVs were added into the experimental groups based on co-culture experiments, while the control group was cultured without EVs for 48 h. Cellular migration was evaluated by wound healing experiments. The cellular morphology, cell stiffness and surface adhesion were investigated by AFM. Cytoskeleton changes were detected by fluorescence staining assay. By comparison to the control group, the cell migration was enhanced. After treatment with EVs, the cell length and height show an upward trend, and the adhesion force and Young's modulus show a downward trend, and filopodia were also detected in the cells. Overall, the EVs promoted the migration of NSCLC cells by regulating cells' physical properties and skeletal rearrangement.
  • A numerical study of the effects of oxy-fuel combustion under homogeneous charge compression ignition regime

    Mobasheri, Raouf; Aitouche, Abdel; Peng, Zhijun; Li, Xiang; Centre de Recherche en Informatique Signal et Automatique de Lille; Junia; University of Bedfordshire (SAGE Publications Ltd, 2021-02-16)
    The European Union (EU) has recently adopted new directives to reduce the level of pollutant emissions from non-road mobile machinery engines. The main scope of project RIVER for which this study is relating is to develop possible solutions to achieve nitrogen-free combustion and zero-carbon emissions in diesel engines. RIVER aims to apply oxy-fuel combustion with Carbon Capture and Storage (CCS) technology to eliminate NOx emissions and to capture and store carbon emissions. As part of this project, a computational fluid dynamic (CFD) analysis has been performed to investigate the effects of oxy-fuel combustion on combustion characteristics and engine operating conditions in a diesel engine under Homogenous Charge Compression Ignition (HCCI) mode. A reduced chemical n-heptane-n-butanol-PAH mechanism which consists of 76 species and 349 reactions has been applied for oxy-fuel HCCI combustion modeling. Different diluent strategies based on the volume fraction of oxygen and a diluent gas has been considered over a wide range of air-fuel equivalence ratios. Variation in the diluent ratio has been achieved by adding different percentages of carbon dioxide for a range from 77 to 83 vol.% in the intake charge. Results show that indicated thermal efficiency (ITE) has reduced from 32.7% to 20.9% as the CO2 concentration has increased from 77% to 83% at low engine loads while it doesn’t bring any remarkable change at high engine loads. It has also found that this technology has brought CO and PM emissions to a very ultra-low level (near zero) while NOx emissions have been completely eliminated.
  • Response of bEnd.3 cells to growing behavior on the graphene oxide film with 2-D grating structure by two-beam laser interference

    Yan, Jin; Cao, Liang; Wang, Lu; Xie, Chengcheng; Liu, Yan; Song, Zhengxun; Xu, Hongmei; Weng, Zhankun; Wang, Zuobin; Li, Li (Springer Science and Business Media Deutschland GmbH, 2021-02-22)
    Graphene (G) and its derivatives are important nanomaterials with potential medical applications for biosensors and implanting biomaterials. The hydrophobicity and surface microstructures of substrates have great influences on the biological and physical properties of the surface-bound cells. In this work, we used the two-beam laser interference (TBLI) technique to prepare a two-dimensional (2-D) grating structure on the surface of graphene oxide (GO) film. We investigated the effect of GO and the GO film with the 2-D grating structure substrates on the growth behavior of rat brain microvascular endothelial (bEnd.3) cells. The results demonstrated that the cell spreading area and the number of surface-bound cells were closely related to the hydrophobicity of the substrate and the presence of oxygen-containing functional groups (OCGs). Due to the interaction of laser and GO, the GO in the interference area was transformed into reduced graphene oxide (RGO). The grating-structured GO film significantly affected the direction of cell spreading and morphology. It has a good application prospect as a scaffold in tissue engineering, and promising applications in the fields that require highly directional growth of cells, such as nerve injury repair, tendon repair and regeneration.
  • Sit-to-stand intention recognition

    Wang, Zuobin; Li, Dayou; Lu, Hang; Qiu, Renxi; Maple, Carsten; University of Bedfordshire; Changchun University of Science and Technology; Warwick University (Springer Science and Business Media Deutschland GmbH, 2021-01-23)
    Sit-to-stand (STS) difficulties are common among elderly because of the decline of their cognitive capabilities and motor functions. The way to help is to encourage them to practice their own functions and to assist only at the point where they need during STS processes. The provision of such support requires the elderly’s intention of standing up to be recognised and the amount of support as well as the moment when the support would be needed to be predicted. The research presented in this paper focuses on intention recognition as it is difficult due to uncertainties existing in STS processes and differences in individual’s biomechanical features. This paper presents fuzzy logic based self-adaptive approach to the recognition of standing up intention from sensor signals that contain the uncertainties.
  • Deep learning for early detection of pathological changes in X-ray bone microstructures: case of osteoarthritis

    Jakaite, Livija; Schetinin, Vitaly; Hladůvka, Jiří; Minaev, Sergey; Ambia, Aziz; Krzanowski, Wojtek; ; University of Bedfordshire; TU Wien; Stavropol State Medical University; et al. (Nature, 2021-01-27)
    Texture features are designed to quantitatively evaluate patterns of spatial distribution of image pixels for purposes of image analysis and interpretation. Unexplained variations in the texture patterns often lead to misinterpretation and undesirable consequences in medical image analysis. In this paper we explore the ability of machine learning (ML) methods to design a radiology test of Osteoarthritis (OA) at early stage when the number of patients’ cases is small. In our experiments we use high-resolution X-ray images of knees in patients which were identified with Kellgren–Lawrence scores progressing from 1. The existing ML methods have provided a limited diagnostic accuracy, whilst the proposed Group Method of Data Handling strategy of Deep Learning has significantly extended the diagnostic test. The comparative experiments demonstrate that the proposed framework using the Zernike-based texture features has significantly improved the diagnostic accuracy on average by 11%. This allows us to conclude that the designed model for early diagnostic of OA will provide more accurate radiology tests, although new study is required when a large number of patients’ cases will be available.
  • Design optimization of resource allocation in OFDMA-based cognitive radio-enabled Internet of Vehicles (IoVs)

    Eze, Joy C.; Zhang, Sijing; Liu, Enjie; Eze, Elias Chinedum; ; University of Bedfordshire (MDPI, 2020-11-09)
    Joint optimal subcarrier and transmit power allocation with QoS guarantee for enhanced packet transmission over Cognitive Radio (CR)-Internet of Vehicles (IoVs) is a challenge. This open issue is considered in this paper. A novel SNBS-based wireless radio resource scheduling scheme in OFDMA CR-IoV network systems is proposed. This novel scheduler is termed the SNBS OFDMA-based overlay CR-Assisted Vehicular NETwork (SNO-CRAVNET) scheduling scheme. It is proposed for efficient joint transmit power and subcarrier allocation for dynamic spectral resource access in cellular OFDMA-based overlay CRAVNs in clusters. The objectives of the optimization model applied in this study include (1) maximization of the overall system throughput of the CR-IoV system, (2) avoiding harmful interference of transmissions of the shared channels’ licensed owners (or primary users (PUs)), (3) guaranteeing the proportional fairness and minimum data-rate requirement of each CR vehicular secondary user (CRV-SU), and (4) ensuring efficient transmit power allocation amongst CRV-SUs. Furthermore, a novel approach which uses Lambert-W function characteristics is introduced. Closed-form analytical solutions were obtained by applying time-sharing variable transformation. Finally, a low-complexity algorithm was developed. This algorithm overcame the iterative processes associated with searching for the optimal solution numerically through iterative programming methods. Theoretical analysis and simulation results demonstrated that, under similar conditions, the proposed solutions outperformed the reference scheduler schemes. In comparison to other scheduling schemes that are fairness-considerate, the SNO-CRAVNET scheme achieved a significantly higher overall average throughput gain. Similarly, the proposed time-sharing SNO-CRAVNET allocation based on the reformulated convex optimization problem is shown to be capable of achieving up to 99.987% for the average of the total theoretical capacity.
  • AFM-based study of fullerenol (C60(OH)24)-induced changes of elasticity in living SMCC-7721 cells

    Liu, Yang; Wang, Zuobin; Wang, Xinyue; ; Changchun University of Science and Technology (Elsevier, 2014-12-18)
    In this study, the alterations of the morphology and biomechanical properties of living SMCC-7721 cancer cells treated with fullerenol (C60(OH)24) for 24, 48, and 72h were investigated using an atomic force microscope (AFM). Comparative analyses show that the elastic moduli of the SMCC-7721 cells exposed to fullerenol decrease significantly with the increase of the treatment periods. Furthermore, in different phases of the treatment, a global decrease in elasticity is accompanied by cellular morphological changes, and the time-dependent effect of the fullerenol can be observed using AFM and optical microscope. In addition, as the treatment duration increases, the indentation force and depth penetrated into the cell membrane by the AFM tip are in a declining trend. The reduction in the stiffness of the cells exposed to fullerenol could be associated with the disruption of the cellular cytoskeleton network. The investigation indicates that the elastic modulus of single living cells can be a useful biomarker to evaluate the effects of fullerenol or other anticancer agents on the cells and reveal instructive information for cellular dynamic behaviors.
  • Fabrication of hematite (α-Fe2O3) nanoparticles using electrochemical deposition

    Meng, Qing-Ling; Wang, Zuobin; Chai, Xiangyu; Weng, Zhankun; Ding, Ran; Dong, Litong; Changchun University of Science and Technology (Elsevier, 2016-02-04)
    In this work, cathodic electrochemical deposition was proposed to fabricate reproducible and homogeneous hematite (α-Fe 2 O 3 ) nanoparticles on indium-tin-oxide (ITO) films. The α-Fe 2 O 3 nanoparticles, which were quasi-hexagonally shaped, were deposited in an aqueous mixture of FeCl 2 and FeCl 3 at the temperatures 16.5 °C, 40 °C and 60 °C. The electrochemically deposited α-Fe 2 O 3 nanoparticles showed excellent stability and good crystallinity. The α-Fe 2 O 3 nanoparticles were characterized by Raman spectroscope and X-ray diffractometer (XRD). A scanning electron microscope (SEM) was used to measure the size and shape of the nanoparticles. The experiment results have shown that the size and shape of nanoparticles were determined by electrochemical deposition conditions including the deposition time, current density, reaction temperature and solution concentration. The proposed electrochemical deposition method has been proven to be a cost-effective, environment friendly and highly efficient approach in fabricating well decentralized α-Fe 2 O 3 nanoparticles for different potential applications.
  • Selective anticancer effect of Phellinus linteus on epidermoid cell lines studied by atomic force microscopy: anticancer activity on A431 cancer cells and low toxicity on HaCat normal cells

    Gao, Mingyan; Huang, Yuxi; Hu, Cuihua; Hu, Jing; Wang, Ying; Chen, Yujuan; Song, Guicai; Song, Zhengxun; Wang, Zuobin; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing; et al. (Institute of Electrical and Electronics Engineers Inc., 2020-12-02)
    The research on the morphological and mechanical properties of single cells has provided a crucial way of understanding the cellular physiology and metabolism. In this study, the selective anticancer effects of Phellinus linteus on A431 and HaCat cells and their morphological and mechanical properties were systematically investigated by atomic force microscopy (AFM). Notably, the cell morphology on the micronano scale was observed under both the physiological environment and immobilization conditions. The significant morphological changes of A431 cells from the flat to spherical shape, the increase of cell height, and the decrease of the particles on the cell membrane were confirmed to be related to the cell apoptosis under the treatment of the Phellinus linteus water extract (PLWE). Moreover, the small morphology variations of HaCat cells showed that the PLWE presented a high anticancer effect on A431 cells but low toxicity on HaCat cells, which indicated a potential cell selectivity between cancer and normal cells. This work proved that Phellinus linteus could be used as a potential candidate for selective anticancer treatments.
  • Durotaxis behavior of bEnd.3 cells on soft substrate with patterned platinum nanoparticle array

    Wu, Xiaomin; Li, Li; Lei, Zecheng; Yang, Fan; Liu, Ri; Wang, Lu; Zhu, Xinyao; Wang, Zuobin; Changchun University of Science and Technology; University of Bedfordshire; et al. (Springer Science and Business Media, 2020-11-17)
    The directional arrangement of cells has crucial effect in tissue engineering fields such as wound healing and scar repair. Studies have shown that continuous nanostructures have directional regulatory effect on cells, but whether discontinuous nanostructures have the same regulatory effect on cells is also worthy of further study. Here, a series of discontinuous platinum nanoparticles (PtNPs) patterned on the surface of PDMS (PtNPs-PDMS&Glass) and glass (PtNPs-Glass) substrates were developed to investigate the effect on bEnd.3 cell durotaxis. The laser interference lithography and nanotransfer printing method were employed to fabricate the substrates. It was found that about 80% cells orderly arranged on the PtNPs-PDMS&Glass substrate, but only 20% cells orderly arrangement on the PtNPs-Glass substrate, and the number of cells on the PtNPs-PDMS&Glass substrate was five times more than that on the PDMS coated glass substrate (PDMS&Glass). The results suggested that patterning PtNPs on the PDMS substrate not only provided the topographical guidance for cells just like continuous nanostructures, but also promoted cell adhesion and growth. In addition, an improved whole cell coupling model was used to investigate and explain the cell durotaxis from the perspective of mechanism. These findings show the possibility of discontinuous nanostructures in regulating cell arrangement, and offer a useful method for the design of biological functional substrate, as well as help to understand the mechanism of cell durotaxis.
  • Atomic force microscopy imaging of the G-banding process of chromosomes

    Wang, Bowei; Li, Jiani; Dong, Jianjun; Yang, Fan; Qu, Kaige; Wang, Ying; Zhang, Jingran; Song, Zhengxun; Hu, Hongmei; Wang, Zuobin; et al. (Springer Science and Business Media, 2020-10-24)
    The chromosome is an important genetic material carrier in living individuals and the spatial conformation (mainly referring to the chromosomal structure, quantity, centromere position and other morphological information) may be abnormal or mutated. Thus, it may generate a high possibility to cause diseases. Generally, the karyotype of chromosome G-bands is detected and analyzed using an optical microscope. However, it is difficult to detect the G-band structures for traditional optical microscopes on the nanometer scale. Herein, we have studied the detection method of chromosome G-band samples by atomic force microscopy (AFM) imaging. The structures of chromosome G-banding are studied with different trypsin treatment durations. The experiment result shows that the treatment duration of 20 s is the best time to form G-band structures. The AFM images show the structures of chromosome G-bands which cannot be observed under an optical microscope. This work provides a new way for the detection and diagnosis of chromosome diseases on the nanometer scale.
  • Content-based image search system design for capturing user preferences during query formulation

    Artemi, Mahmoud; Liu, Haiming; University of Bedfordshire (CEUR-WS, 2020-07-30)
    Most existing studies of content-based image retrieval (CBIR) system design focus on learning users’ information needs through relevance feedback at the result assessment stage only. However, in many CBIR systems, the underlying machine learning mechanisms need the users’ feedback at query formulation stage for a better training and search performance, which unfortunately is often not supported by the search interface design. The lack of support for the users’ query formulation through an effective CBIR interface has been a drawback for system performance and the users’ search satisfaction and experiences. We propose a new CBIR system design approach based on Vakkari’s three-stage model, which encourages the users to provide feedback at the query formulation stage through a user-centered interface. The interface helps the users to form and express their information needs through enabling the users to participate in the training phase of the machine learning mechanism of the system. A user study with 28 participants shows how the proposed system design supports the users’ interaction through the user-centered search interface. The findings of this study highlight the importance for the users to engage in all stages of the search process, especially at the query formulation stage when the considered mechanism requires a training process, through a user-centered interaction design.
  • Infectious disease management systems in the Gulf region: the current status and potential impact

    Alanezi, Fahad; Hussain, F.; Yu, Hong Qing; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2017-07-17)
    No study has investigated the current state and potential impact of using infectious disease management systems in the Gulf Region. In this paper, we aim to investigatethe current published literature to identify the studies and the potential impact of these technologies on improving infectious disease management. This study reviews the published papers (1975-2014) using a systematic approach. This entails searchingpeer-reviewed articles in both English (PubMed, Web of Science, and IEEE Xplorer) and Arabic (Al Manhal, Mandumah, and AskZad) electronic databases using the following terms: "infectious diseases", "e-health", "infectious diseases management systems", and country name. We analysed 96 English articles and 68 Arabic articles. No studies met the inclusion criteria. In conclusion, there is a need to conduct extensive research in this region, such as designing asystem based on the needs of infectious patients as well as relevant social phenomena.
  • A study on perception of managing infectious disease through social networking in the Kingdom of Saudi Arabia

    Alanezi, Fahad; Hussain, F.; Yu, Hong Qing; University of Bedfordshire (Institute of Electrical and Electronics Engineers Inc., 2017-07-17)
    The impact of infectious disease on the human population is very dangerous as it could cause severe damage, disruption in human life and can result in many deaths. There is an immediate need for effectively managing the infectious diseases and stop their spreading across other regions. The Infectious Disease management (IDM) process in a country like the Kingdom of Saudi Arabia (KSA), which is one of the developing countries with wide range of healthcare complications, and being one of the countries with high tourist inflow (hajj tourists) has to be very effective and efficient. Considering these factors, this paper presents the preliminary results of the stage one of the research work intended for developing a web IDM system integrating social networking concept. The study presented in this paper followed a mixed method strategy using survey questionnaires and the interviews as the part of data collection and analysis for assessing the perception of IDM through social networking in KSA. The outcome of the study indicated that most of the young participants supported the idea of using social networking in IDM. Other key outcomes include high level acceptance of using web technology and social networking with mapping strategy for creating awareness among the patients through education and information exchange. With in the participation.

View more