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Support Vector Machine for Susceptibility Modeling of Dengue Fever in Kendari, Southeast Sulawesi

100%

Widayani P. , Sahity A. F. , Saputri A. A.

Geomatics and Environmental Engineering

2024

tom Vol. 18, no. 1

29--50

Dengue fever (DF) is an infectious disease that is still a problem in Indonesia. The total death rate due to DF was 705 people in 2021; in 2022, this increased to 1183 (Indonesian Ministry of Health, 2023). Seeing this fact, prevention efforts are still needed when handling DF cases in all of the regions of Indonesia. This research was conducted in the Kendari area of Southeast Sulawesi, where there are still cases of DF. The purpose of this study was to create a spatial model of dengue susceptibility using a support vector machine. Landsat 8 imagery was used to intercept data on building density, vegetation density, land use, and land surface temperatures. Rainfall and humidity variables were obtained from the Meteorological, Climatological, and Geophysical Agency (BMKG). Based on the modeling results, the districts of Wua-wua, Kadia, Barunga, Poasi, and Puuwatu are areas with high susceptibility. The results of testing the susceptibility model to dengue hemorrhagic fever (DHF) in Kendari obtained an area under the curve (AUC) of 0.75, meaning that this model was well-accepted.

Metabolomics approach for multibiomarkers determination to investigate dengue virus infection in human patients

100%

Shahfiza N. , Osman H. , Hock T. , Abdel-Hamid A.-H.

Acta Biochimica Polonica

2017

tom 64

nr 2

215-219

Background: Dengue is one of the major public health problems in the world, affecting more than fifty million cases in tropical and subtropical region every year. The metabolome, as pathophysiological end-points, provide significant understanding of the mechanism and progression of dengue pathogenesis via changes in the metabolite profile of infected patients. Recent developments in diagnostic technologies provide metabolomics for the early detection of infectious diseases. Methods: The mid-stream urine was collected from 96 patients diagnosed with dengue fever at Penang General Hospital (PGH) and 50 healthy volunteers. Urine samples were analyzed with proton nuclear magnetic resonance (1H NMR) spectroscopy, followed by chemometric multivariate analysis. NMR signals highlighted in the orthogonal partial least square-discriminant analysis (OPLS-DA) S-plots were selected and identified using Human Metabolome Database (HMDB) and Chenomx Profiler. A highly predictive model was constructed from urine profile of dengue infected patients versus healthy individuals with the total R2Y (cum) value 0.935, and the total Q2Y (cum) value 0.832. Results: Data showed that dengue infection is related to amino acid metabolism, tricarboxylic acid intermediates cycle and β-oxidation of fatty acids. Distinct variations in certain metabolites were recorded in infected patients including amino acids, various organic acids, betaine, valerylglycine, myo-inositol and glycine. Conclusion: Metabolomics approach provides essential insight into host metabolic disturbances following dengue infection.

Arbowirusy

58%

Liberski P. P. , Sikorska B. , Bratosiewicz-Wąsik J. , Smoleń J. , Wąsik T. J. , Kruszyński P.

nr 2

85-95

In this review we covered encephalitides and other sequelae of arbovirus infections. A family Flaviviridae along with families Togaviridae, Bunyaviridae, Reoviridae and Arenaviridae had been previously classified as Arboviridae (arthropod-borne). In spite of a significant diversity of viruses of the Arboviridae group, the term “arboviruses” is still useful and widely used. Here we covered viruses spread by ticks: tick-borne encephalitis virus, Powassan, Russian spring summer encephalitis virus, Kyasanur forest disease virus, Omsk hemorrhagic fever virus, louping ill and by mosquitos: yellow fever virus, Wesselsbron virus, Ilheus virus, Japanese B encephalitis virus, Murray Valley encephalitis virus, St. Louis encephalitis virus, West Nile virus and Dengue hemorrhagic fever virus as well as a Modoc group. Togaviruses comprise Eastern, Western and Venezuelan equine encephalitis virus while fleboviruses, Rift Valley virus. Coltiviruses comprise Colorado thick fever virus.

W pracy omówiono powikłania ze strony układu nerwowego po zakażeniu arbowirusami. Rodzina Flaviviridae dawniej była zaklasyfikowana, wraz z rodzinami Togaviridae, Bunyaviridae, Reoviridae i Arenaviridae, do grupy zwanej Arboviridae. Grupa ta obejmowała wirusy przenoszone przez stawonogi (arthropod-borne). Pomimo dużego zróżnicowania wirusów należących do grupy Arboviridae określenie „arbowirusy” jest nadal przydatne i często stosowane. Omówiono wirusy przenoszone przez kleszcze: wirusy kleszczowego zapalenia mózgu, Powassan, rosyjskiego wiosenno-letniego zapalenia mózgu, choroby lasu Kyasanur, omskiej gorączki krwotocznej, louping ill („skaczących” owiec) oraz wirusy przenoszone przez komary: grupę żółtej gorączki, wirus Wesselsbron, Ilheus i Rocio, grupę japońskiego zapalenia mózgu, wirus zapalenia mózgu doliny Murray, wirus zapalenia mózgu St. Louis, wirus zachodniego Nilu, wirus gorączki krwotocznej dengi i grupę Modoc. Do omówionych togawirusów należą: wirusy wschodniego, zachodniego i wenezuelskiego końskiego zapalenia mózgu. Do rodzaju Bunyavirus należą: grupa Modoc i wirus gorączki doliny Rift; do koltiwirusów: wirus gorączki kleszczowej Kolorado.