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54 results for “effective prevention”

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Research ArticleOpen accessEvery word in the titleCurrent Advances in Zika Virus Transmission: Urgency for Effective Therapeutics and PreventionYash Raj, Swatantra Kumar, Amrita Haikerwal et al.Global emergence of Zika Virus (ZIKV) with prevalent outbreaks has been reported in numerous countries of South America, Central America and the Caribbean region. According to recent World Health Organization (WHO)-ZIKV situation report, 84 countries/territories/subnational areas represented with established mosquito-borne transmission of ZIKV. As of 10 August 2017, cumulative Zika cases and congenital syndrome associated with Zika virus reported by … …American Journal of Infectious Diseases, Vol. 13, Issue 2 · 2 Oct 2017 · 7,798 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNutritional Status and Obesity among Adults of Amman and Al-Balq'a GovernoratesBasem F. Dababneh, Jafar M. El-Qudah, Alaa A. Al-BakheitProblem statement: Obesity is a critical health problem worldwide and it is a serious prevalent disorder. The objective of this investigation was to assess the food consumption pattern and the prevalence of obesity of adult sample in Amman and Al-Balq’a governorates-Jordan. Approach: The study was performed on random sample of 544 apparently healthy adult volunteers consisted of men and women … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 4 Aug 2011 · 7,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmploying Hybrid Serial Cascaded Adaptive Network for Anomaly Detection and Prevention in IoT Time Series Data With Optimal Interdomain RoutingKante Satyanarayana, K. VenkateshNowadays, emerging Internet of Things (IoT) in data processing becomes interested research topic and is used for various applications. This varies from big data processing and analytics for accumulating entire sensor data to detect and generate long-term trends. Nevertheless, this results in the requirement for resources like the execution of power, memory, and bandwidth, in which resource-constrained IoT tools suffers … …Journal of Computer Science, Vol. 22, Issue 1 · 21 Feb 2026 · 1,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrends in the Prevalence of Clostridioides difficile Using Real Time PCR in South Korea (2020-2024)Yonghee Lee, Yoo Na Chung, Jae Kyung KimClostridioides difficile is a major cause of infection in healthcare settings, and frequent antibiotic use exacerbates its occurrence. C. difficile infection (CDI) is a major public-health challenge owing to its complications and high mortality rate. We aimed to analyze current trends in C. difficile prevalence. This study was a retrospective, single center analysis of 7,371 samples from April 2020 to … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 3 Oct 2025 · 2,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence of Diarrhea-Causing Pathogens in South Korea Analyzed Using Molecular Diagnostic MethodsYonghee Lee, Jae Kyung KimGastrointestinal inflammation remains a prevalent global health concern. Prompt and accurate diagnosis of the condition is required to mitigate health risks in immunocompromised individuals and alleviate the economic burden linked to treatment and pathogen isolation. Challenges posed by traditional culture tests, such as long detection time and inability to isolate low-abundance organisms, can be overcome using molecular diagnostic methods, which … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 25 Jul 2024 · 5,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 4,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Control of a Malaria Transmission Model with Saturated IncidencePerpetual Appiah, Henry Amankwah, Francis BenyahWe present a vector-host deterministic model for the transmission and control of malaria, using prevention and treatment as controls. A novel addition to our model is a new prevention function that highlights the role of prevention in reducing vector populations; an essential arsenal in the fight against malaria. Another innovation is the use of a novel treatment function, which reflects … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 29 Feb 2024 · 5,894 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Multi-Enzyme Machine Cleaning, Multi-Enzyme Soaking, and Traditional Tap Water Cleaning on the Cleanliness of Blood-Contaminated Hemostatic ForcepsLi Kang, Qingmin Gao, Yi FengEffective cleaning of surgical instruments is critical for infection prevention in healthcare settings. This study compared the cleaning efficacy, efficiency, and resource consumption of three methods, multi-enzyme machine cleaning (Group S1), multi-enzyme soaking (Group S2), and traditional tap water cleaning (Group S3), on blood-contaminated hemostatic forceps. A total of 600 blood-contaminated hemostatic forceps collected from the disinfection supply room of … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 24 Apr 2026 · 1,881 accessesView PDFCite
Case SeriesOpen accessIn the abstractSurge of Mucormycosis in the Jaws Among COVID-19 Patients: A Case Series Highlighting the Role of Diabetes and ImmunosuppressionRam Mohan, Dharnappa Poojary, Sreehari Sreedhar et al.Mucormycosis is a life-threatening fungal infection caused by Mucorales species, frequently occurring in immunocompromised patients. This case series investigates the alarming rise in maxillary mucormycosis among post-COVID-19 patients in India and explores its correlation with uncontrolled diabetes and immunosuppressive conditions. This case series analyzed 52 patients, primarily with maxillary infections, to identify the association between COVID-19 and mucormycosis. Diagnostic methods … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 13 Apr 2026 · 1,346 accessesView PDFCite