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Fulltext A model for online interactive remote education for medical physics using the Internet

Woo MK, Ng KH

J Med Internet Res, 2003 Jan-Mar;5(1):e3.
PMID: 12746208

Medical physics is a relatively small community but it spans great geographical distances, usually with a scarcity of experts whose expertise could greatly benefit students entering into the field. In addition there are many software systems for which an interactive education method would be most advantageous.

Matched MeSH terms: Internet/economics; Internet/standards*; Internet/trends*
Fulltext An Adaptive Deep Learning Framework for Dynamic Image Classification in the Internet of Things Environment

Jameel SM, Hashmani MA, Rehman M, Budiman A

Sensors (Basel), 2020 Oct 14;20(20).
PMID: 33066579 DOI: 10.3390/s20205811

In the modern era of digitization, the analysis in the Internet of Things (IoT) environment demands a brisk amalgamation of domains such as high-dimension (images) data sensing technologies, robust internet connection (4 G or 5 G) and dynamic (adaptive) deep learning approaches. This is required for a broad range of indispensable intelligent applications, like intelligent healthcare systems. Dynamic image classification is one of the major areas of concern for researchers, which may take place during analysis under the IoT environment. Dynamic image classification is associated with several temporal data perturbations (such as novel class arrival and class evolution issue) which cause a massive classification deterioration in the deployed classification models and make them in-effective. Therefore, this study addresses such temporal inconsistencies (novel class arrival and class evolution issue) and proposes an adapted deep learning framework (ameliorated adaptive convolutional neural network (CNN) ensemble framework), which handles novel class arrival and class evaluation issue during dynamic image classification. The proposed framework is an improved version of previous adaptive CNN ensemble with an additional online training (OT) and online classifier update (OCU) modules. An OT module is a clustering-based approach which uses the Euclidean distance and silhouette method to determine the potential new classes, whereas, the OCU updates the weights of the existing instances of the ensemble with newly arrived samples. The proposed framework showed the desirable classification improvement under non-stationary scenarios for the benchmark (CIFAR10) and real (ISIC 2019: Skin disease) data streams. Also, the proposed framework outperformed against state-of-art shallow learning and deep learning models. The results have shown the effectiveness and proven the diversity of the proposed framework to adapt the new concept changes during dynamic image classification. In future work, the authors of this study aim to develop an IoT-enabled adaptive intelligent dermoscopy device (for dermatologists). Therefore, further improvements in classification accuracy (for real dataset) is the future concern of this study.

Matched MeSH terms: Internet
Fulltext Altmetrics: A new paradigm for scholarly communication

Shekhawat KS, Chauhan A

Indian J Dent Res, 2019 3 23;30(1):125-126.
PMID: 30900670 DOI: 10.4103/ijdr.IJDR_27_17

Counting citations have been the usual norm to determine the impact of any research and/or scholar. However, with majority of the scholarly activities happening on the World Wide Web, traditional counting of citations is now being termed "slower." The recent explosion of online data storage for many articles may serve as a pool which uses social media sites to navigate. Altmetrics has been proposed as the new entity which aims to change the focus of the scholarly reward system to value and encourage web-native scholarship. This paper makes an attempt to understand altmetrics.

Matched MeSH terms: Internet
Correction to: Acute-on-chronic liver failure: consensus recommendations of the Asian Pacific association for the study of the liver (APASL): an update

Sarin SK, Choudhury A, Sharma MK, Maiwall R, Al Mahtab M, Rahman S, et al.

Hepatol Int, 2019 11;13(6):826-828.
PMID: 31595462 DOI: 10.1007/s12072-019-09980-1

The article Acute-on-chronic liver failure: consensus recommendations of the Asian Pacific association for the study of the liver (APASL): an update, written by [Shiv Sarin], was originally published electronically on the publisher's internet portal (currently SpringerLink) on June 06, 2019 without open access.

Matched MeSH terms: Internet
Fulltext Peer-led group tele-supervision of clinical psychologists: optimizationof resources – a malaysian case study

Umi Izzatti Saedon, Nicholas Pang Tze Ping, Loo, Jiann Lin

Borneo Journal of Medical Sciences, 2019;14(1):67-71.
MyJurnal

Inaccessibility to clinical supervision is an issue faced by solo clinical psychologist practitioners. Combination use of web-based instant messaging and video call application were tried by 28 clinical psychologists in conducting a peer-led group tele-supervision to address ethical dilemmas, discuss case management, provide technical instruction, explore resistance and analyse countertransference, provide emotional support, and share knowledge and updated guidelines. Despite facing challenges including difficulty in face-to-face session scheduling, limited time for in-depth discussion, internet connection issues, and documentation dilemma, we believe it has potential to influence supervision practice for clinicians working in isolation in rural or remote locations.

Matched MeSH terms: Internet
Fulltext State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

Rehman A, Hassan MF, Yew KH, Paputungan I, Tran DC

PeerJ Comput Sci, 2020;6:e334.
PMID: 33816982 DOI: 10.7717/peerj-cs.334

In the near future, the Internet of Vehicles (IoV) is foreseen to become an inviolable part of smart cities. The integration of vehicular ad hoc networks (VANETs) into the IoV is being driven by the advent of the Internet of Things (IoT) and high-speed communication. However, both the technological and non-technical elements of IoV need to be standardized prior to deployment on the road. This study focuses on trust management (TM) in the IoV/VANETs/ITS (intelligent transport system). Trust has always been important in vehicular networks to ensure safety. A variety of techniques for TM and evaluation have been proposed over the years, yet few comprehensive studies that lay the foundation for the development of a "standard" for TM in IoV have been reported. The motivation behind this study is to examine all the TM models available for vehicular networks to bring together all the techniques from previous studies in this review. The study was carried out using a systematic method in which 31 papers out of 256 research publications were screened. An in-depth analysis of all the TM models was conducted and the strengths and weaknesses of each are highlighted. Considering that solutions based on AI are necessary to meet the requirements of a smart city, our second objective is to analyze the implications of incorporating an AI method based on "context awareness" in a vehicular network. It is evident from mobile ad hoc networks (MANETs) that there is potential for context awareness in ad hoc networks. The findings are expected to contribute significantly to the future formulation of IoVITS standards. In addition, gray areas and open questions for new research dimensions are highlighted.

Matched MeSH terms: Internet
Fulltext Psychometric Properties of the Malay Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF-M): Evidence from a Sample of Malaysian Undergraduates

Ling SL, Nik Jaafar NR, Tan KA, Bahar N, Baharudin A, Ahmad Tajjudin AI

Int J Environ Res Public Health, 2021 03 05;18(5).
PMID: 33807598 DOI: 10.3390/ijerph18052592

In recent years, increased interest in Internet Gaming Disorder has led to the development of the Internet Gaming Disorder Scale-Short Form. Translation and subsequent validation of such a scale are important for cross-cultural use. The aim of the present study was to examine the psychometric properties (factor structure, reliability, and validity) of the Malay Version of the Internet Gaming Disorder Scale-Short Form using a sample of Malaysian undergraduates. The present sample included 137 Malaysian undergraduates. Participants completed a self-administered online survey containing demographic items, the Malay Version of the Internet Gaming Disorder Scale-Short Form, the Problematic Online Gaming Questionnaire-Short Form, and the Malay Version of the Internet Addiction Test. The present findings confirm the one-factor model of the Malay Version of the Internet Gaming Disorder Scale-Short Form. Good reliability, as measured by Cronbach alpha, was found for the Malay Version of the Internet Gaming Disorder Scale-Short Form. The Malay Version of the Internet Gaming Disorder Scale-Short Form has demonstrated concurrent validity by significantly correlating with the Problematic Online Gaming Questionnaire-Short Form as well as demonstrated convergent validity with respect to the Malay Version of the Internet Addiction Test. The Malay Version of the Internet Gaming Disorder Scale-Short Form is a reliable and valid tool for assessing Internet Gaming Disorder in Malaysian undergraduates. As more research is still needed to confirm the status of Internet Gaming Disorder as a formal disorder, it is hoped that the Malay Version of the Internet Gaming Disorder Scale-Short Form can facilitate future research examining antecedents and consequences of Internet Gaming Disorder in a Malaysian setting.

Matched MeSH terms: Internet
Quality and Readability of Web-based Arabic Health Information on Denture Hygiene: An Infodemiology Study

Alhajj MN, Mashyakhy M, Ariffin Z, Ab-Ghani Z, Johari Y, Salim NS

J Contemp Dent Pract, 2020 Sep 01;21(9):956-960.
PMID: 33568578

AIM: This study aimed to assess the quality and readability of the available health information on the net regarding denture hygiene.
MATERIALS AND METHODS: Three search engines (Google, Yahoo!, and Bing) were searched. The first 20 consecutive websites from each engine were obtained and checked for eligibility. For the quality of the websites, the Health on the Net Foundation Code of Conduct (HONcode), the DISCERN tool, the Journal of the American Medical Association (JAMA) Benchmarks, and Google PageRank were used for the assessment of the included websites. For readability, an online web tool was used, including well-known analyzing indices [Flesch Kincaid grade level (FKGL), Simple Measure of Gobbledygook (SMOG), and Flesch Reading Ease (FRE)]. The acceptable readability level was set to be ≥80.0 for the FRE and <7 for the FKGL and SMOG. The data were presented in frequencies and percentages.
RESULTS: Out of the 60 screened websites, 14 websites were eligible for analysis. There was only one (7.1%) website that had the HONcode seal. The mean score of all websites based on the DISCERN tool was 29.6 ± 12.1, with no website achieved the high score (≥65). Only one (7.1%) website scored >5 based on Google PageRank. Regarding JAMA benchmarks, all websites achieved a mean score of 2.57 ± 1.1. The mean grade level based on the FKGL was 8.4 ± 6.3. All websites had a score of <7 according to the SMOG index. The mean score of the readability ease index was 90.5 ± 16.4.
CONCLUSION: Most of the dental health information on denture hygiene available on the Arabic websites did not have the required level of quality, regardless of being readable and comprehensible by most of the general people.
CLINICAL SIGNIFICANCE: Directing the patients to the appropriate websites related to their cases is the responsibility of the dentists.

Matched MeSH terms: Internet
Fulltext Web-based decision support system for paddy planting management

Norasma, C.Y.N., Shariff, A.R.M., Jahanshiri, E., Amin, M.S.M., Khairunniza-Bejo, S., Mahmud, A.R.

Pertanika Journal of Science & Technology, 2013;21(2):343-364.
MyJurnal

Precision farming offers numerous benefits and advantages to the farming community for farm productivity improvement. Previous research has led to the development of the offline-based recision Farmer©. Our current research extends further the previous work by developing a Web Paddy GIS©. The need for this arises due to limitations of Precision Farmer© such as portability, offline system accessibility and affordability by the end users, who include semi-literate farmers. This new system has been developed to function on Windows and Linux platforms. A user satisfaction assessment was conducted on website acceptability, and performance testing was made. This study demonstrates that Web Paddy GIS© can successfully run on both platforms. However, the Linux platform has proven to be superior to Windows, based on factors such as CPU usage, speed and user satisfaction. This paper presents a novel management tool of Web-based precision farming for the semi-literate paddy farming community of a developing country. The development of the Web Paddy GIS© is very useful for paddy farmers, farm managers, decision makers and researchers.

Matched MeSH terms: Internet
Fulltext Structuring quality education by proposing physical infrastructure of a medical school

Ashfaq Akram, Muhammad Zahedi Daud, Md Gapar Md Joha, Rizwan Farzana, Rahmatullah Khan

Education in Medicine Journal, 2016;8(3):75-87.
MyJurnal

Due to cost containment considerations, it is common to have medical schools being
located in buildings or campuses built for some other purposes. These buildings are converted into
medical schools which often compromising the functional architectural aspects. Objectives: The
paper examines, explores and proposes an architectural concept of a purpose-built medical school. The
architectural design proposed is sensitive to the values and norms of many schools around the globe.
Methods: An Internet search and personal communication were conducted, focusing on the concepts
of the functionality of medical school. It emphasises on general design of the main building, keeping
in mind the various kinds of teaching, learning and assessment activities. We examined lecture hall,
pre-clinical laboratory, skill laboratory, general facilities of Objective Structured Practical Examination
(OSPE) and Objective Structured Clinical Examination (OSCE). Results: We present hypothetical
structural designs based on built-functions concepts. For example, for the better vision of students
around a demonstration table, an inclined floor surface is proposed. The concept is as illustrated by
anatomy dissection area built inclined upward from the cadaver table. It inevitably provides a better
visual access to the students around the table. Other teaching and learning areas are also illustrated
wherever appropriate in the text. Conclusion: The paper is hypothetical and explores innovative
structural designs of modern medical schools. While most are built to meet the demands of current
technology, it cannot however completely replace face-to-face teaching and learning processes.
Research in architectural designs of education buildings and facilities may be further developed into a
new research niche of medical education.

Matched MeSH terms: Internet
Fulltext Introduction to metodology framework in research study: a case study

Ang, Kean Hua

Malaysian Journal of Social Sciences and Humanities, 2016;1(1):17-23.
MyJurnal

This Methodology framework in research study smoothing the process of collecting data. Research
study is categorized into qualitative and quantitative research. Qualitative research refer to a studies
require careful observation, while quantitative research refers to a studies involve in statistics.
Qualitative and quantitative research study can be determined through primary and secondary data.
Primary data is defined as data that comes from original or the first source, while secondary data is
defined as data that has been collected by other researchers. Primary data can be categorized into
active and passive. Active primary data can be divided into direct interview (through face to face
between researcher and respondents) and interviewed indirectly (e.g. by phone, mail, technology),
while passive primary data involve with structured and secret characteristic, structured and open
characteristic, unstructured and secret characteristic, unstructured and open characteristic. Secondary
data involves with writing (journals, books, magazines, past records, reports and documents, internet, theses, short stories, newspaper), as well as vision and hearing (speeches, movies and videos, songs,
stories). Even secondary data has its advantages and disadvantages, but both secondary and primary
data are depend on each other in solving the society problems through the achievement of the
objectives or hyphotheses in a research study.

Matched MeSH terms: Internet
Computer aided learning in undergraduate medical education

Sherina MS, Azlan HS

Family Physician, 2003;12:12-14.

The need to deliver teaching material in medical education using the internet is compelling in view of the many advantages that the internet provides. The internet has enabled organizations, in particular institutions of higher education to conduct various courses entirely electronically and without regard to physical geographical boundaries. The term CAL is used to denote the employment of the Internet for the delivery of teaching material, conduct of discussion, as;sessment of performance and interaction between students and teachers. This study reviews reports of the use and evaluation of Computer-Aided-Learning (CAL) in teaching various major disciplines in medicine.

Matched MeSH terms: Internet
Fulltext Online News Coverage of the Sugar-Sweetened Beverages Tax in Malaysia: Content Analysis

Mohd Hanim MF, Md Sabri BA, Yusof N

JMIR Public Health Surveill, 2021 08 18;7(8):e24523.
PMID: 34406125 DOI: 10.2196/24523

BACKGROUND: In Malaysia, the Sugar-Sweetened Beverages (SSBs) tax was announced during the parliament's 2019 Budget Speech. The tax was slated to be enforced by April 2019 but was later postponed to July 2019. The announcement has since generated significant media coverage and public feedback.
OBJECTIVE: This study presents a qualitative and quantitative cross-sectional study using netnography to examine how Malaysian online news articles responded to the SSBs tax after the announcement and postimplementation.
METHODS: Online news articles published on popular online news platforms from November 2018 to August 2019 were downloaded using NCapture and imported into NVivo for analysis using the inductive approach and thematic content analysis following the initial SSBs implementation announcement.
RESULTS: A total of 62 news articles were analyzed. Most of the articles positively portrayed the SSBs tax (46.8%) and highlighted its health impacts (76%). There were 7 key framing arguments identified in the articles. The positive arguments revolved around incentivizing manufacturers to introduce healthier products voluntarily, positive health consequences, the tax's impact on government revenue, and the use of the generated revenue toward beneficial social programs. The opposing arguments included increased operating costs to the manufacturer, the increased retail price of drinks, and how the SSBs tax is not a robust solution to obesity. The top priority sector considered in introducing the tax was the health perspective, followed by economic purposes and creating policies such as regulating the food and drinks industry.
CONCLUSIONS: The majority of online news articles positively reported the implementation of the SSBs tax in Malaysia. This suggests media played a role in garnering support for the health policy. As such, relevant bodies can use negative findings to anticipate and reframe counteracting arguments opposing the SSBs tax.

Matched MeSH terms: Internet
Fulltext Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review

Jawad HM, Nordin R, Gharghan SK, Jawad AM, Ismail M

Sensors (Basel), 2017 Aug 03;17(8).
PMID: 28771214 DOI: 10.3390/s17081781

Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. These approaches may also increase the number of opportunities for processing Internet of Things (IoT) data.

Matched MeSH terms: Internet
Fulltext The Impact of Social Media on Employee Mental Health and Behavior Based on the Context of Intelligence-Driven Digital Data

Zhou R, Luo Z, Zhong S, Zhang X, Liu Y

Int J Environ Res Public Health, 2022 Dec 17;19(24).
PMID: 36554845 DOI: 10.3390/ijerph192416965

With the rapid development and widespread popularity of the Internet, employee social media use at work has become an increasingly common phenomenon in organizations. This paper analyzes 105 related papers from the Social Science Citation Index in Web of Science through Scoping Review to clarify the definition and characteristics of employee social media use and the types of social media and summarizes the current research methods. Then, the reasons for employees' willingness and refusal to use social media and the positive and negative effects of employee social media use on employees' work attitudes, behaviors, and performance are discussed. Then, the mediating variables, moderating variables, and theoretical frameworks used in the relevant studies are described, and a comprehensive model of employee social media use is constructed. Finally, this paper indicates future research directions based on the latest research results in 2020-2022, i.e., improving research methods, increasing antecedent studies, expanding consequence research, and expanding mediating variables, moderating variables, and theoretical perspectives.

Matched MeSH terms: Internet
Fulltext myBeST-A Web-Based Survival Prognostic Tool for Women with Breast Cancer in Malaysia: Development Process and Preliminary Validation Study

Nik Ab Kadir MN, Mohd Hairon S, Yaacob NM, Yusof SN, Musa KI, Yahya MM, et al.

Int J Environ Res Public Health, 2023 Feb 08;20(4).
PMID: 36833678 DOI: 10.3390/ijerph20042985

Women with breast cancer are keen to know their predicted survival. We developed a new prognostic model for women with breast cancer in Malaysia. Using the model, this study aimed to design the user interface and develop the contents of a web-based prognostic tool for the care provider to convey survival estimates. We employed an iterative website development process which includes: (1) an initial development stage informed by reviewing existing tools and deliberation among breast surgeons and epidemiologists, (2) content validation and feedback by medical specialists, and (3) face validation and end-user feedback among medical officers. Several iterative prototypes were produced and improved based on the feedback. The experts (n = 8) highly agreed on the website content and predictors for survival with content validity indices ≥ 0.88. Users (n = 20) scored face validity indices of more than 0.90. They expressed favourable responses. The tool, named Malaysian Breast cancer Survival prognostic Tool (myBeST), is accessible online. The tool estimates an individualised five-year survival prediction probability. Accompanying contents were included to explain the tool's aim, target user, and development process. The tool could act as an additional tool to provide evidence-based and personalised breast cancer outcomes.

Matched MeSH terms: Internet
Fulltext A Neighborhood and Machine Learning-Enabled Information Fusion Approach for the WSNs and Internet of Medical Things

Khan ZA, Naz S, Khan R, Teo J, Ghani A, Almaiah MA

Comput Intell Neurosci, 2022;2022:5112375.
PMID: 35449734 DOI: 10.1155/2022/5112375

Data redundancy or fusion is one of the common issues associated with the resource-constrained networks such as Wireless Sensor Networks (WSNs) and Internet of Things (IoTs). To resolve this issue, numerous data aggregation or fusion schemes have been presented in the literature. Generally, it is used to decrease the size of the collected data and, thus, improve the performance of the underlined IoTs in terms of congestion control, data accuracy, and lifetime. However, these approaches do not consider neighborhood information of the devices (cluster head in this case) in the data refinement phase. In this paper, a smart and intelligent neighborhood-enabled data aggregation scheme is presented where every device (cluster head) is bounded to refine the collected data before sending it to the concerned server module. For this purpose, the proposed data aggregation scheme is divided into two phases: (i) identification of neighboring nodes, which is based on the MAC address and location, and (ii) data aggregation using k-mean clustering algorithm and Support Vector Machine (SVM). Furthermore, every CH is smart enough to compare data sets of neighboring nodes only; that is, data of nonneighbor is not compared at all. These algorithms were implemented in Network Simulator 2 (NS-2) and were evaluated in terms of various performance metrics, such as the ratio of data redundancy, lifetime, and energy efficiency. Simulation results have verified that the proposed scheme performance is better than the existing approaches.

Matched MeSH terms: Internet
Fulltext Organizational and behavioral attributes' roles in adopting cloud services: An empirical study in the healthcare industry

Meri A, Hasan MK, Dauwed M, Jarrar M, Aldujaili A, Al-Bsheish M, et al.

PLoS One, 2023;18(8):e0290654.
PMID: 37624836 DOI: 10.1371/journal.pone.0290654

The need for cloud services has been raised globally to provide a platform for healthcare providers to efficiently manage their citizens' health records and thus provide treatment remotely. In Iraq, the healthcare records of public hospitals are increasing progressively with poor digital management. While recent works indicate cloud computing as a platform for all sectors globally, a lack of empirical evidence demands a comprehensive investigation to identify the significant factors that influence the utilization of cloud health computing. Here we provide a cost-effective, modular, and computationally efficient model of utilizing cloud computing based on the organization theory and the theory of reasoned action perspectives. A total of 105 key informant data were further analyzed. The partial least square structural equation modeling was used for data analysis to explore the effect of organizational structure variables on healthcare information technicians' behaviors to utilize cloud services. Empirical results revealed that Internet networks, software modularity, hardware modularity, and training availability significantly influence information technicians' behavioral control and confirmation. Furthermore, these factors positively impacted their utilization of cloud systems, while behavioral control had no significant effect. The importance-performance map analysis further confirms that these factors exhibit high importance in shaping user utilization. Our findings can provide a comprehensive and unified guide to policymakers in the healthcare industry by focusing on the significant factors in organizational and behavioral contexts to engage health information technicians in the development and implementation phases.

Matched MeSH terms: Internet
The prevalence of internet gaming disorders and the associated psychosocial risk factors among adolescents in Malaysian secondary schools

Mohamed NF, Ab Manan N, Muhammad Firdaus Chan MF, Rahmatullah B, Abd Wahab R, Baharudin SNA, et al.

Clin Child Psychol Psychiatry, 2023 Oct;28(4):1420-1434.
PMID: 36927134 DOI: 10.1177/13591045231164870

Internet Gaming Disorder (IGD) has been placed under the conditions for further study segment in DSM-5. The purpose of the current study was to develop a preliminary psychosocial model as a reference for providing appropriate intervention, particularly for adolescents with IGD. A total of 5290 adolescents from secondary schools in seven states in Malaysia were recruited by using proportionate random sampling. A standardized set of validated questionnaires such as DASS-21, BIS-11, and IGDS9-SF were distributed to participants that fulfilled the inclusion criteria. The prevalence of IGD among Malaysian adolescents was 3.5%. The bivariate analysis summarized that factors such as stress, impulsivity, gender, time spent using the internet, and relationship with parents and friends; have statistically significant associations with IGD. The logistic regression model revealed that adolescents with IGD were 9 times more likely to experience extremely severe stress (p < 0.001). Several psychosocial factors were associated strongly with IGD in the current study, however, mental health shows the most significant issues among adolescents with IGD. Immediate intervention through a psychological approach to internet gaming is needed from parents, schools, and also respective stakeholders. IGD may become one of the addictions diseases that cause deterioration in many aspects of an adolescent's future life without serious intervention.

Matched MeSH terms: Internet
A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria

Trimarsanto H, Amato R, Pearson RD, Sutanto E, Noviyanti R, Trianty L, et al.

Commun Biol, 2022 Dec 23;5(1):1411.
PMID: 36564617 DOI: 10.1038/s42003-022-04352-2

Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches incorporating hierarchical fixation index and decision tree analyses applied to 799 P. vivax genomes from 21 countries, we identified 33-SNP, 50-SNP and 55-SNP barcodes (GEO33, GEO50 and GEO55), with high capacity to predict the infection's country of origin. The Matthews correlation coefficient (MCC) for an existing, commonly applied 38-SNP barcode (BR38) exceeded 0.80 in 62% countries. The GEO panels outperformed BR38, with median MCCs > 0.80 in 90% countries at GEO33, and 95% at GEO50 and GEO55. An online, open-access, likelihood-based classifier framework was established to support data analysis (vivaxGEN-geo). The SNP selection and classifier methods can be readily amended for other use cases to support malaria control programs.

Matched MeSH terms: Internet

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