Systematic Review of Dengue Detection and Diagnosis Methods from 2004 to 2023

Systematic Review of Dengue Detection and Diagnosis Methods from 2004 to 2023
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© 2023 by IJETT Journal
Volume-71 Issue-12
Year of Publication : 2023
Author : Sebastián Ramos-Cosi, Estefani Miñope-Anchaya, Diego Sevilla, Alicia Alva-Mantari
DOI : 10.14445/22315381/IJETT-V71I12P225

How to Cite?

Sebastián Ramos-Cosi, Estefani Miñope-Anchaya, Diego Sevilla, Alicia Alva-Mantari, "Systematic Review of Dengue Detection and Diagnosis Methods from 2004 to 2023," International Journal of Engineering Trends and Technology, vol. 71, no. 12, pp. 264-276, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I12P225

Abstract
Dengue is caused by the bite of an infected mosquito, leading to symptoms in humans such as fever, muscle aches, and headaches. In 2019, the World Health Organization reported 5.2 billion dengue incidents. Thanks to technology, there are methods for detecting and diagnosing dengue within a certain number of days after being bitten. The current study aims to analyze different dengue detection methods through a systematic review from 2004 to 2023. We adopted the hybrid PRISMA methodology, depicted in a flowchart, for data processing in the Scopus database. Boolean algorithms were used for searching documents related to dengue, followed by data processing using the R language and Biblioshiny libraries. This yielded 28,801 documents (articles, conference papers, and books), constituting 74.42%, 3.94%, and 0.12% of the total, respectively, discussing dengue and its detection methods. As a result, it becomes evident that countries like the USA publish a substantial number of documents, around 7,000, related to dengue, primarily due to substantial funding. However, the study does not reveal significant technological advancements for evaluating dengue detection, posing a challenge to healthcare centers regarding early diagnosis for the population affected by this infection.

Keywords
Dengue, Systematic review, Biblioshiny, Python, Scopus.

References
[1] Sergio Alejandro Gómez-Ochoa, “Plasma Viraemia as a Factor Associated to Severity in Dengue Virus Infection: Systematic Review of Literature,” Chilean Journal of Infectology, vol. 35, no. 2, pp. 176–183, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[2] S.L. Vargas Cruz et al., “Coinfection of Dengue and Chikungunya Viruses, Narrative Review,” Chilean Journal of Infectology, vol. 35, no. 6, pp. 658–668, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Samir Bhatt et al., “The Global Distribution and Burden of Dengue,” Nature, vol. 496, pp. 504–507, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Anita Chakravarti, Rohit Arora, and Christine Luxemburger, “Fifty years of Dengue in India,” Transactions of The Royal Society of Tropical Medicine and Hygiene, vol. 106, no. 5, pp. 273–282, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[5] WHO, Dengue and Severe Dengue, 2023. [Online]. Available: https://www.who.int/es/news-room/fact-sheets/detail/dengue-and-severedengue
[6] Scott B. Halstead, “Pathogenesis of Dengue: Challenges to Molecular Biology,” Science, vol. 239, no. 4839, pp. 476–481, 1988.
[CrossRef] [Google Scholar] [Publisher Link]
[7] José G Rigau-Pérez et al., “Dengue and Dengue Haemorrhagic Fever,” Lancet, vol. 352, no. 9132, pp. 971–977, 1998.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Duane J. Gubler, “Dengue and Dengue Hemorrhagic Fever,” Clinical Microbiology Reviews, vol. 11, no. 3, pp. 480–496, 1998.
[CrossRef] [Google Scholar] [Publisher Link]
[9] B.Y. Valderrama Rosales, Dengue Situation in Peru. Week 02 – 2022, Analysis and Health Situation, 2022. [Online]. Available: https://www.dge.gob.pe/epipublic/uploads/boletin/boletin_20222_11_195328_3.pdf
[10] S. Runge-Ranzinger et al., “Dengue Disease Surveillance: An Updated Systematic Literature Review,” Tropical Medicine and International Health, vol. 19, no. 9, pp. 1116–1160, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Andrew J. Tatem, Simon I. Hay, and David J. Rogers, “Global Traffic and Disease Vector Dispersal,” Proceedings of National Acadamy Science USA, vol. 103, no. 16, pp. 6242–6247, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Rika Yuliwulandari et al., “NAT2 Variants are Associated with Drug-Induced Liver Injury Caused by Anti-Tuberculosis Drugs in Indonesian Patients with Tuberculosis,” Journal of Human Genetics, vol. 61, no. 6, pp. 533–537, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Fabio Batista Mota et al., “Mapping the Dengue Scientific Landscape Worldwide: A Bibliometric and Network Analysis,” Memories of the Oswaldo Cruz Institute, vol. 112, no. 5, pp. 354–363, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[14] PAHO, Dengue - OPS/OMS, Pan American Health Organization, 2023. [Online]. Available: https://www.paho.org/es/temas/dengue
[15] Begoña Valdivia-Conroy et al., “Diagnostic Performance of the Rapid Test for the Detection of NS1 Antigen and IgM and IgG AntiAntibodies against Dengue Virus,” Peruvian Journal of Experimental Medicine and Public Healths, vol. 39, no. 4, pp. 434–441, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Manmohan Parida et al., “Rapid Detection and Differentiation of Dengue Virus Serotypes by a Real-Time Reverse Transcription-LoopMediated Isothermal Amplification Assay,” Journal of Clinical Microbiology, vol. 43, no. 6, pp. 2895–2903, 2005.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Subhamoy Pal et al., “Evaluation of Dengue NS1 Antigen Rapid Tests and ELISA Kits Using Clinical Samples,” PLoS One, vol. 9, no. 11, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[18] GL Rúa Uribe et al., “Influence of the El Niño Climate Event on the Dynamics of Dengue Transmission in Medellín, Antioquia, Colombia,” Dispensary, vol. 25, no. 4, pp. 314–322, 2012.
[Google Scholar]
[19] PUCP, Why Peru is Going through its Worst Dengue Epidemic in History?, Institute of Nature, Earth and Energy (INTE-PUCP), 2023. [Online]. Available: https://inte.pucp.edu.pe/noticias-y-eventos/noticias/por-que-peru-esta-atravesando-su-peor-epidemia-de-dengue-enla-historia/
[20] Ben Shneiderman et al., “Experimental Investigations of the Utility of Detailed Flowcharts in Programming,” Commun ACM, vol. 20, no. 6, pp. 373–381, 1977.
[CrossRef] [Google Scholar] [Publisher Link]
[21] C.S. Allely, “Prevalence and Assessment of Traumatic Brain Injury in Prison Inmates: A Systematic PRISMA Review,” Brain Injury, vol. 30, no. 10, pp. 1161–1180, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Michaela Cellina et al., “Computed Tomography in Traumatic Orbital Emergencies: A Pictorial Essay—Imaging Findings, Tips, and Report Flowchart,” Insights into Imaging, vol. 13, no. 1, pp. 1–17, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Laura Mariani et al., “Accuracy of Dysphagia Standard Assessment (DSA®) Bedside Screening Test: A Flowchart for Patient Eligibility,” Neurological Sciences, vol. 43, no. 9, pp. 5411–5419, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Sebastian Ramos-Cosi, and Natalia I. Vargas-Cuentas, “Prototype of a System for Quail Farming with Arduino Nano Platform, DHT11 and LM35 Sensors, in Arequipa, Peru,” International Journal of Emerging Technology and Advanced Engineering, vol. 11, no. 11, pp. 140–146, 2021.
[Publisher Link]
[25] Jie Zhu, Jiyang Ling, and Ning Ding, “Association between Diffusion Tensor Imaging Findings and Cognitive Outcomes following Mild Traumatic Brain Injury: A PRISMA-Compliant Meta-Analysis,” ACS Chemical Neuroscience, vol. 10, no. 12, pp. 4864–4869, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Clare Sarah Allely, “Firesetting and Arson in Individuals with Autism Spectrum Disorder: A Systematic PRISMA Review,” Journal of Intellectual Disabilities and Offending Behaviour, vol. 10, no. 4, pp. 89–101, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Zhangming Wei et al., “NAT2 Gene Polymorphisms and Endometriosis Risk: A PRISMA-Compliant Meta-Analysis,” PLoS One, vol. 14, no. 12, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Abi McGinley, and Tom McMillan, “The Prevalence, Characteristics, and Impact of Head Injury in Female Prisoners: A Systematic PRISMA Review,” Brain Injury, vol. 33, no. 13–14, pp. 1581–1591, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Yun-Tai Yao, Xin Yuan, and Neng-Xin Fang, “Hemocoagulase Reduces Postoperative Bleeding and Blood Transfusion in Cardiac Surgical Patients: A PRISMA-Compliant Systematic Review and Meta-Analysis,” Medicine, vol. 98, no. 52, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Wen-Fei Zheng et al., “Diagnostic Value of Neutrophil-Lymphocyte Ratio in Preeclampsia: A PRISMA-Compliant Systematic Review and Meta-Analysis,” Medicine, vol. 98, no. 51, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[31] FECYT, Scopus Database, Scientific Resources, 2023. [Online]. Available: https://www.recursoscientificos.fecyt.es/licencias/productoscontratados/scopus
[32] Adam Strzelczyk et al., “The Burden of Illness in Lennox–Gastaut Syndrome: A Systematic Literature Review,” Orphanet Journal of Rare Diseases, vol. 18, no. 1, pp. 1–21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Alex Ahebwa et al., “Aedes Aegypti and Aedes Albopictus (Diptera: Culicidae) Ecology, Biology, Behaviour, and Implications on Arbovirus Transmission in Thailand: Review,” One Health, vol. 16, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Vagisha Sharma et al., “Panorama Public: A Public Repository for Quantitative Data Sets Processed in Skyline,” Molecular and Cellular Proteomics, vol. 17, no. 6, pp. 1239–1244, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[35] F.R. Torres et al., “Rapid Consumer-Based Sensory Characterization of Requeijão Cremoso, A Spreadable Processed Cheese: Performance of New Statistical Approaches to Evaluate Check-All-That-Apply Data,” Journal of Dairy Science, vol. 100, no. 8, pp. 6100– 6110, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Fabio Nelli, Python Data Analytics: With Pandas, NumPy, and Matplotlib, Second Edition, pp. 1–569, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Wasi Yazdani et al., “A Bibliometric Analysis of Mandatory Corporate Social Responsibility using RStudio: Based on Scopus Database,” International Journal of Professional Business Review, vol. 7, no. 6, pp. 1-28, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Masanori Kuroki, “Using Python and Google Colab to Teach Undergraduate Microeconomic Theory,” International Review of Economics Education, vol. 38, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[39] William Vallejo, Carlos Díaz-Uribe, and Catalina Fajardo, “Google Colab and Virtual Simulations: Practical e-Learning Tools to Support the Teaching of Thermodynamics and to Introduce Coding to Students,” ACS Omega, vol. 7, no. 8, pp. 7421–7429, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[40] R.R.A. Bourne et al., “Causes of Blindness and Vision Impairment in 2020 and Trends Over 30 Years, and Prevalence of Avoidable Blindness in Relation to Vision 2020: The Right to Sight: An analysis for the Global Burden of Disease Study,” Lancet Glob Health, vol. 9, no. 2, pp. 144–160, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[41] Ashwin Pajankar, Hands-on Matplotlib: Learn Plotting and Visualizations with Python 3, pp. 1–299, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[42] Ashwin Pajankar, Raspberry Pi Image Processing Programming: With NumPy, SciPy, Matplotlib, and OpenCV, pp. 1–245, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Yadav Sapkota et al., “Meta-Analysis Identifies Five Novel Loci Associated with Endometriosis Highlighting Key Genes Involved in Hormone Metabolism,” Nature Communications, vol. 8, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[44] M. Naghavi et al., “Global, Regional, and National Age-Sex Specific All-Cause and Cause-Specific Mortality for 240 Causes of Death, 1990-2013: A Systematic Analysis for the Global Burden of Disease Study 2013,” The Lancet, vol. 385, no. 9963, pp. 117–171, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[45] Wasi Yazdani, Mohd Shamim Ansari, and Lamaan Sami, “A Bibliometric Analysis of Mandatory Corporate Social Responsibility Using Rstudio: Based on Scopus Database,” International Journal of Professional Business Review, vol. 7, no. 6, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Abidin Kemeç, and Ayşenur Tarakcıoglu Altınay, “Sustainable Energy Research Trend: A Bibliometric Analysis Using VOSviewer, RStudio Bibliometrix, and CiteSpace Software Tools,” Sustainability, vol. 15, no. 4, pp. 1-21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[47] Cameron P. Simmons et al., “Dengue,” New England Journal of Medicine, vol. 366, no. 15, pp. 1423–1432, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[48] Scott B. Halstead, “Dengue Vaccine Development: A 75 Solution?,” The Lancet, vol. 380, no. 9853, pp. 1535–1536, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[49] G.U. Parthasharathi et al., “Diabetic Retinopathy Detection Using Machine Learning,” Journal of Innovative Image Processing, vol. 4, no. 1, pp. 26–33, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Zaid Sanchez et al., “An Algorithm for Characterizing Skin Moles Using Image Processing and Machine Learning,” International Journal of Electrical and Computer Engineering, vol. 11, no. 4, pp. 3539–3550, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[51] An Shao et al., “Overview of Global Publications on Machine Learning in Diabetic Retinopathy from 2011 To 2021: Bibliometric Analysis,” Front Endocrinol, vol. 13, 2022.
[CrossRef] [Google Scholar] [Publisher Link]