scholarly journals Dengue virus infections among European travellers, 2015 to 2019

2022 ◽  
Vol 27 (2) ◽  
Author(s):  
Céline M Gossner ◽  
Nelly Fournet ◽  
Christina Frank ◽  
Beatriz Fernández-Martínez ◽  
Martina Del Manso ◽  
...  
Keyword(s):  
Dengue Virus ◽  
Incidence Rate ◽  
Descriptive Analysis ◽  
Virus Infections ◽  
Infection Rates ◽  
Eastern Asia ◽  
Contributing Factors ◽  
Dengue Virus Infection ◽  
Factors Associated ◽  
The Past

Background Dengue is a disease with major impacts on public health in tropical and subtropical countries. In Europe, in the past decade, few autochthonous outbreaks were described. Aim We aimed to identify factors associated with frequency of dengue virus infection among European travellers and at assessing how surveillance data could support preparedness against autochthonous outbreaks within Europe. Methods We performed a descriptive analysis of travel-related dengue cases reported by European countries from 2015 through 2019. Using flight passenger data, we calculated travellers’ infection rates (TIR). We investigated the following associations: (i) between TIR and incidence rate in selected countries of infection and (ii) between number of travel-related cases and occurrence of autochthonous outbreaks within Europe. Results There were 11,478 travel-related dengue cases and the TIR was 2.8 cases per 100,000 travellers. Most cases were infected in Asia (71%), predominantly in south-eastern Asia. The TIR was highest among travellers returning from Asia (6.1/100,000). There was an association between the incidence rate in the country of infection and the TIR but no association between the number of travel-related cases and occurrence of autochthonous outbreaks in Europe. Conclusions The likelihood of infection in travellers is a function of the ongoing epidemiological situation in the country of exposure. The number of travel-related cases alone is not sufficient to estimate the likelihood of autochthonous outbreaks where vectors are present in Europe. Additional contributing factors such as adequate vectorial capacity and suitable environmental conditions are required.

scholarly journals Immunoglobulin A Antibody Responses in Dengue Patients: a Useful Marker for Serodiagnosis of Dengue Virus Infection

2005 ◽  
Vol 12 (10) ◽  
pp. 1235-1237 ◽  
Author(s):  
M. Nawa ◽  
T. Takasaki ◽  
M. Ito ◽  
S. Inoue ◽  
K. Morita ◽  
...  
Keyword(s):  
Virus Infection ◽  
Dengue Virus ◽  
Immunoglobulin A ◽  
Antibody Responses ◽  
Enzyme Linked Immunosorbent Assay ◽  
Virus Infections ◽  
Serum Samples ◽  
Dengue Virus Infection ◽  
Iga Antibody ◽  
Antibody Capture

ABSTRACT We determined the usefulness of an immunoglobulin A (IgA) antibody-capture enzyme-linked immunosorbent assay for serodiagnosis of dengue virus infections. The results indicate that the presence of IgA and IgM in serum samples assures recent primary dengue virus infection even with a single serum sample.

scholarly journals Artificial Receptors in Serologic Tests for the Early Diagnosis of Dengue Virus Infection

2006 ◽  
Vol 52 (8) ◽  
pp. 1486-1491 ◽  
Author(s):  
Dar-Fu Tai ◽  
Chung-Yin Lin ◽  
Tzong-Zeng Wu ◽  
Jyh-Hsiung Huang ◽  
Pei-Yun Shu
Keyword(s):  
Virus Infection ◽  
Dengue Virus ◽  
Nonstructural Protein ◽  
Sample Pretreatment ◽  
Virus Infections ◽  
Serum Samples ◽  
Dengue Virus Infection ◽  
Artificial Receptors ◽  
Nonstructural Protein 1 ◽  
Sensitive Sensor

Abstract Background: Because of the range and nonspecificity of clinical presentations of dengue virus infections, we felt there was a need to create diagnostic tests. We used artificial receptors for the virus to develop serologic assays to detect dengue virus infection. Methods: We coated a quartz crystal microbalance (QCM) with molecularly imprinted polymers specific for nonstructural protein 1 of flavivirus. These artificial receptors were specifically created on a QCM chip by polymerization of monomers and were cross-linked in the presence of the epitope site of nonstructural protein 1. We tested serum samples from patients with confirmed cases of dengue reported to the Center for Disease Control in Taipei. Samples were diluted 100-fold; no other sample pretreatment was used. The QCM response was compared with results of monoclonal ELISA. Results: QCM signals were >15 Hz in 18 of 21 (86%) of dengue samples and in 0 of 16 control samples. The correlation (r2) of the QCM response and the ELISA result was 0.73. Within-run and run-to-run imprecisions (CV) were 4%–28% and 10%–32%, respectively. Conclusions: The described assay offers a serologic technique for diagnosis of early viremia. The results illustrate the potential of well-organized polymers on the highly sensitive sensor system for diagnostic and biotechnological applications.

scholarly journals Factors Associated with Dengue Virus Infection and Reinfection in Asymptomatic Children in Two Colombian Municipalities

2018 ◽  
Vol 99 (6) ◽  
pp. 1422-1429 ◽  
Author(s):  
Lorena Castro-Bonilla ◽  
Carolina Coronel-Ruiz ◽  
Shirly Parra-Alvarez ◽  
Jaime E. Castellanos ◽  
Alexandra Porras-Ramírez ◽  
...  
Keyword(s):  
Virus Infection ◽  
Dengue Virus ◽  
Dengue Virus Infection ◽  
Factors Associated ◽  
Asymptomatic Children

scholarly journals Prospective Study To Determine Accuracy of Rapid Serological Assays for Diagnosis of Acute Dengue Virus Infection in Laos

2007 ◽  
Vol 14 (11) ◽  
pp. 1458-1464 ◽  
Author(s):  
Stuart D. Blacksell ◽  
David Bell ◽  
James Kelley ◽  
Mammen P. Mammen ◽  
Robert V. Gibbons ◽  
...  
Keyword(s):  
Virus Infection ◽  
Dengue Virus ◽  
Patient Management ◽  
Limited Resource ◽  
Immunoglobulin M ◽  
Enzyme Linked Immunosorbent Assay ◽  
Virus Infections ◽  
Serum Samples ◽  
Dengue Virus Infection ◽  
Resource Setting

ABSTRACT There is an urgent need for accurate and simple dengue virus infection diagnostic assays in limited-resource settings of dengue endemicity, to assist patient management. Using a panel of reference samples (S. D. Blacksell, P. N. Newton, D. Bell, J. Kelley, M. P. Mammen, D. W. Vaughn, V. Wuthiekanun, A. Sungkakum, A. Nisalak, and N. P. Day, Clin. Infect. Dis. 42:1127-1134, 2006), we recently evaluated eihgt commercially available immunochromatographic rapid diagnostic tests (RDTs) designed to detect dengue virus-specific immunoglobulin M (IgM) and/or IgG. We found that 6/8 RDTs had sensitivities of less than 50% (range, 6 to 65%), but specificities were generally high. Here, in conjuction with dengue virus serotyping by reverse transcriptase PCR and in the limited-resource setting of Laos, where dengue virus is endemic, we evaluated the same eight RDTs against a previously validated dengue IgM/IgG enzyme-linked immunosorbent assay for diagnosis of acute dengue virus infection. Paired serum samples were collected from 87 patients, of whom 38 had confirmed dengue virus infections (4 had primary infections, 33 had secondary infections, and 1 had an infection of indeterminate status). RDT sensitivity was low, with 7/8 RDTs having admission sample sensitivities of less than 20% (range, 4 to 26%). The majority (6/8) of the RDTs, demonstrated high specificity (>95%). Kappa statistic values ranged from 6 to 54% for the RDTs, demonstrating poor to moderate variation between three operators. No RDT adequately differentiated between primary and secondary dengue virus infections. The findings of this study suggest that currently available RDTs based on the detection of IgM antibodies for the diagnosis of acute dengue virus infections are unlikely to be useful for patient management.

Novel Insights for Railroad Maintenance Using Big Data Analytics

2018 ◽  
Author(s):  
Naji Albakay ◽  
Michael Hempel ◽  
Hamid Sharif
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Descriptive Analysis ◽  
Big Data Analytics ◽  
Association Mining ◽  
Contributing Factors ◽  
The Past ◽  
Repair Costs ◽  
Input Variables ◽  
Railroad Safety

Train accidents can be attributed to human factors, equipment factors, track factors, signaling factors, and Miscellaneous factors. Not only have these accidents caused damages to railroad infrastructure and train equipment leading to excessive maintenance and repair costs, but some of these have also resulted in injuries and loss of lives. Big Data Analytics techniques can be utilized to provide insights into possible accident causes, thus resulting in improving railroad safety and reducing overall maintenance expenses as well as spotting trends and areas of operational improvements. We propose a comprehensive Big Data approach that provides novel insights into the causes of train accidents and find patterns that led to their occurrence. The approach utilizes a combination of Big Data algorithms to analyze a wide variety of data sources available to the railroads, and is being demonstrated using the FRA train accidents/incidents database to identify factors that highly contribute to accidents occurring over the past years. The most important contributing factors are then analyzed by means of association mining analysis to find relationships between the cause of accidents and other input variables. Applying our analysis approach to FRA accident report datasets we found that railroad accidents are correlating strongly with the track type, train type, and train area of operation. We utilize the proposed approach to identify patterns that would lead to occurrence of train accidents. The results obtained using the proposed algorithm are compatible with the ones obtained from manual descriptive analysis techniques.

scholarly journals Epidemiological Risk Factors Associated with High Global Frequency of Inapparent Dengue Virus Infections

2014 ◽  
Vol 5 ◽  
Author(s):  
Laura Grange ◽  
Etienne Simon-Loriere ◽  
Anavaj Sakuntabhai ◽  
Lionel Gresh ◽  
Richard Paul ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dengue Virus ◽  
Virus Infections ◽  
Factors Associated ◽  
Epidemiological Risk

scholarly journals Incidence of Occupational Accidents and Contributing Factors among Male Workers in an Electrical Distribution Company in Istanbul, Turkey

2021 ◽  
Author(s):  
Zehra Kocyigit-Cakir ◽  
Ozlem Ozkan
Keyword(s):  
Incidence Rate ◽  
Working Conditions ◽  
Occupational Disease ◽  
Occupational Accidents ◽  
Electricity Distribution ◽  
Occupational Accident ◽  
Contributing Factors ◽  
The Past ◽  
Distribution Company ◽  
Male Workers

Background: This study aimed to determine the incidence of occupational accidents among male workers in an electric power distribution company and to analyze the contributing factors. Methods: This prospective cohort study was conducted on 158 male workers from an electricity distribution company in Istanbul (Turkey) between October 2014 and June 2015 in two phases. In the first phase, the data were collected with the face-to-face interviews based on a questionnaire related to the occupational accidents and working conditions in the past year. Then, each worker was followed-up for four months for the occupational accident incidence. The data were analyzed using SPSS software. The degree and magnitude of association between dependent and independent variables were determined by Phi (Φ) and Cramer's V coefficient. Results: The incidence rate of self-reported occupational accidents was 47.5% in the past year. The incidence was found to be higher for those aged over 41 (51.7%, p=0.02), work in lighting and overhead line units (71.0% and 47.2%, p=0.04), have occupational disease (66.7%, p=0.01), and have witnessed any occupational accident in the electricity sector (66.1%, p<0.001). The incidence rate was moderately associated with the working unit (Cramer’sV=0.25), witnessing any occupational accident (Φ=0.29), and occupational disease (Φ=0.21). It was higher for those with shift work (52.0%; p=0.29) and with job insecurity (51.8%, p=0.11). The incidence rate of occupational accidents based on four-month follow-up was 0.53 person-year. The most frequent type of accident was explosion (14.3%), and the majority of the accidents resulted in injuries (78.6%). Conclusion: The incidence of occupational accidents among male workers in the electricity distribution company was higher than the national average. The accidents were significantly related to the working conditions.

scholarly journals Recent dengue virus infection: epidemiological survey on risk factors associated with infection in a medium-sized city in Mato Grosso

2021 ◽  
Author(s):  
Dandára Thaís de Oliveira Ferreira ◽  
Marina Atanaka ◽  
Mariano Martinez Espinosa ◽  
Lavinia Schuler-Faccini ◽  
Aline da Silva Caldeira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Virus Infection ◽  
Dengue Virus ◽  
Epidemiological Survey ◽  
Dengue Virus Infection ◽  
Mato Grosso ◽  
Factors Associated

scholarly journals Specific IgM and IgG responses in primary and secondary dengue virus infections determined by enzyme-linked immunosorbent assay

2005 ◽  
Vol 134 (4) ◽  
pp. 820-825 ◽  
Author(s):  
A. SA-NGASANG ◽  
S. ANANTAPREECHA ◽  
A. A-NUEGOONPIPAT ◽  
S. CHANAMA ◽  
S. WIBULWATTANAKIJ ◽  
...  
Keyword(s):  
Virus Infection ◽  
Dengue Virus ◽  
Secondary Infection ◽  
Enzyme Linked Immunosorbent Assay ◽  
Virus Infections ◽  
Dengue Virus Infection ◽  
Provincial Hospital ◽  
Secondary Infections ◽  
Positive Rate ◽  
Specific Igg

IgM- and IgG-capture ELISAs are widely used as diagnostic tests for confirmation of dengue virus infection. The positive rate of anti-dengue IgM and IgG detection was examined in primary and secondary dengue virus infections in the setting of a provincial hospital using IgM- and IgG-capture ELISAs. Disease day 1 was defined as the day of onset of symptoms. In total, 232 plasma samples were collected from 106 confirmed dengue cases consisting of 12 primary and 94 secondary infections. In primary infection, anti-dengue IgM was detected in 4 out of 5 samples collected on disease day 5 and in all the 21 samples collected on disease day 6 or later. Specific IgG was detected in 2 out of 5 samples collected on day 12, and in 5 out of 6 samples collected on disease days 13–15, but was not detected in samples collected on disease day 10 or earlier. In secondary infection, IgM was not detected in the samples on disease days 2 and 3, but detected in 20 out of 79 samples collected on days 4–6, in 44 out of 65 on disease days 7–11 and in 40 out of 51 samples on disease days 12–14. In contrast, specific IgG was detected in 21 out of 60 samples on disease days 4 and 5, in 13 out of 19 on disease day 6, in 62 out of 65 on disease days 7–11 and in all the samples collected on disease day 12 or later. The result indicate that seroconversion rates of IgM and IgG are different between primary and secondary infections, and suggest that detection of specific IgM and IgG is necessary for determining dengue virus infection and for differentiating primary and secondary dengue infections.

scholarly journals Primary and Secondary Dengue Virus Infections Elicit Similar Memory B-Cell Responses, but Breadth to Other Serotypes and Cross-Reactivity to Zika Virus Is Higher in Secondary Dengue

2020 ◽  
Vol 222 (4) ◽  
pp. 590-600 ◽  
Author(s):  
Paulina Andrade ◽  
Parnal Narvekar ◽  
Magelda Montoya ◽  
Daniela Michlmayr ◽  
Angel Balmaseda ◽  
...  
Keyword(s):  
Dengue Virus ◽  
Mononuclear Cells ◽  
Vaccine Development ◽  
Denv Infection ◽  
Cross Reactivity ◽  
Virus Infections ◽  
Dengue Virus Infection ◽  
Peripheral Blood Mononuclear ◽  
Denv Serotypes ◽  
Cell Responses

Abstract Background The 4 antigenically distinct serotypes of dengue virus (DENV) share extensive homology with each other and with the closely related Zika flavivirus (ZIKV). The development of polyclonal memory B cells (MBCs) to the 4 DENV serotypes and ZIKV during DENV infection is not fully understood. Methods In this study, we analyzed polyclonal MBCs at the single-cell level from peripheral blood mononuclear cells collected ~2 weeks or 6–7 months postprimary or postsecondary DENV infection from a pediatric hospital-based study in Nicaragua using a Multi-Color FluoroSpot assay. Results Dengue virus elicits robust type-specific and cross-reactive MBC responses after primary and secondary DENV infection, with a significantly higher cross-reactive response in both. Reactivity to the infecting serotype dominated the total MBC response. Although the frequency and proportion of type-specific and cross-reactive MBCs were comparable between primary and secondary DENV infections, within the cross-reactive response, the breadth of MBC responses against different serotypes was greater after secondary DENV infection. Dengue virus infection also induced cross-reactive MBC responses recognizing ZIKV, particularly after secondary DENV infection. Conclusions Overall, our study sheds light on the polyclonal MBC response to DENV and ZIKV in naive and DENV-preimmune subjects, with important implications for natural infections and vaccine development.

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