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637 results for “Fever”
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Italy
<p>This dataset contains ASF laboratory analytical results in domestic pigs and wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> <li>ASF2023_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> <li>ASF2022_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)*</li> <li>ASF2022_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Romania
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)</li> <li>ASF2023_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)</li> <li>ASF2022_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)*</li> <li>ASF2022_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)</li> </ul> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - North Macedonia
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)</li> <li>ASF2023_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)</li> <li>ASF2022_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)*</li> <li>ASF2022_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p> <p> </p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Greece
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_GR - Hellenic Ministry of Rural Development and Food (MINAGRIC)</li> <li>ASF2023_POP_EXTRACTION_GR - Hellenic Ministry of Rural Development and Food (MINAGRIC)</li> </ul>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Poland
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)</li> <li>ASF2023_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)</li> <li>ASF2022_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)*</li> <li>ASF2022_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Germany
<p>This dataset contains ASF laboratory analytical results in wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> <li>ASF2023_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> <li>ASF2022_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)*</li> <li>ASF2022_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Czechia
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)</li> <li>ASF2023_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)</li> <li>ASF2022_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)*</li> <li>ASF2022_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Host biomarkers and combinatorial scores for the detection of serious and invasive bacterial infection in pediatric patients with fever without source
<h3><span>Background </span></h3> <p><span>Improved tools are required to detect bacterial infection in children with fever without source (FWS), especially when younger than 3 years old. The aim of the present study was to investigate the diagnostic accuracy of a host signature combining for the first time two viral-induced biomarkers, tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and interferon </span><span>γ</span><span>-induced protein-10 (IP-10), with a bacterial-induced one, C-reactive protein (CRP), to reliably predict bacterial infection in children with fever without source (FWS) and to compare its performance to routine individual biomarkers (CRP, procalcitonin (PCT), white blood cell and absolute neutrophil counts, TRAIL, and IP-10) and to the Labscore.</span></p> <h3><span>Methods</span></h3> <p><span>This was a prospective diagnostic accuracy study conducted in a single tertiary center in children aged less than 3 years old presenting with FWS. Reference standard etiology (bacterial or viral) was assigned by a panel of three independent experts. Diagnostic accuracy (AUC, sensitivity, specificity) of host individual biomarkers and combinatorial scores was evaluated in comparison to reference standard outcomes (expert panel adjudication and microbiological diagnosis). </span></p> <h3><span>Results </span></h3> <p><span>241 patients were included. 68 of them (28%) were diagnosed with a bacterial infection and 5 (2%) with invasive bacterial infection (IBI). Labscore, ImmunoXpert, and CRP attained the highest AUC values for the detection of bacterial infection, respectively 0.854 (0.804–0.905), 0.827 (0.764–0.890), and 0.807 (0.744–0.869). Labscore and ImmunoXpert outperformed the other single biomarkers with higher sensitivity and/or specificity and showed comparable performance to one another although slightly reduced sensitivity in children < 90 days of age.</span></p> <h3><span>Conclusion </span></h3> <p><span>Labscore and ImmunoXpert demonstrate high diagnostic accuracy for safely discriminating bacterial infection in children with FWS aged under and over 90 days, </span><span>supporting their adoption in the assessment of febrile patients. </span></p>
Dataset for: Hug et al. Unexpected behavioural adaptation of yellow fever mosquitoes in response to high temperatures
<p>Dataset for the manuscript: Hug et al. Unexpected behavioural adaptation of yellow fever mosquitoes in response to high temperatures</p>
Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti
<p><strong>* These authors contributed equally: </strong>Alejandro N. Lozada-Chávez, Irma Lozada-Chávez.</p> <h3> </h3> <h1>Supplementary Dataset</h1> <p> </p> <p>This repository contains the <strong> Supplementary Data (from 1 to 12) </strong>cited in our paper "Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti" in <em>Nature Ecology and Evolution</em>: <a title="Aedes aegypti domestication." href="https://doi.org/10.1038/s41559-025-02643-5">https://doi.org/10.1038/s41559-025-02643-5</a></p> <p>These datasets are available in the section "Supplementary Information" of our paper, but with the absence of the SD-9 due its large big size (~3Gb after decompressed). Here you can find the complete set of datasets in a single ZIP file:</p> <p><strong>41559_2025_2643_MOESM5_ESM_Supplementary_Data.zip</strong></p> <p> </p> <p><strong>LIST OF DATASETS:</strong></p> <p>1) Supplementary Data 1. SNP statistics for populations through genomic regions (TXT). <br>2) Supplementary Data 2. Sequences of new detected nrEVEs (FASTA). <br>3) Supplementary Data 3. Phylogenetic trees for populations and individuals (NEWICK). <br>4) Supplementary Data 4. Information for 8,120 hard selective sweeps detected with RAiSD in out-of-Africa populations (TXT). <br>5) Supplementary Data 5. Information for 1,030 SNP outliers detected with PCAdapt within 2,266 genes (VCF format). <br>6) Supplementary Data 6. Matrix with DoS scores for 11,651 orthologous protein-coding genes in AaegL5 and each Ae. aegypti population (TXT). <br>7) Supplementary Data 7. Matrix with MKT scores for 11,651 orthologous protein-coding genes in AaegL5 and each Ae. aegypti population (TXT). <br>8) Supplementary Data 8. Matrix with DoS scores used to estimate relaxed selection (TXT). <br>9) Supplementary Data 9. Matrix with SNPs and genomic coordinates within adaptive protein-coding genes and ncRNAs that are shared or private for out-of-Africa populations against African populations (TXT). <br>10) Supplementary Data 10. Matrix with 483 nonsynonymous SNPs and their allele frequencies for our 40 populations Florida and Colombia (TXT).<br>11) Supplementary Data 11. Genomic coordinates of SNPs in AaegL5 obtained from the literature and VectorBase (TXT). <br>12) Supplementary Data 12. Source data of metrics used to plot Figure 4b (TXT).</p> <p> </p> <p><strong>UPDATES NOTE:</strong></p> <ul> <li><strong>Repository version 3.</strong> Final version of datasets for the accepted manuscript.</li> <li><strong>Repository version 2.</strong> Incomplete datasets: Files as prelimary versions and their content may vary. The SD-10 is not present (matrix with 483 SNPs) was added. The SD-7 is a broken file (cannot be opened).</li> <li><strong>Repository version 1. </strong> Incomplete datasets: Files as prelimary versions and their content may vary. Two final SD files are not present.</li> </ul> <p> </p> <p><strong>CITATION OF THIS REPOSITORY:</strong></p> <p>Lozada-Chávez, A. N., Lozada-Chávez, I., Alfano, N., Palatini, U., Sogliani, D., Elfekih, S., Degefa, T., Sharakhova, M. V., Badolo, A., Patchara, S., Casas-Martinez, M., Carlos, B. C., Carballar-Lejarazú, R., Lambrechts, L., Souza-Neto, J. A., & Bonizzoni, M. (2024). Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14948092</p> <p> </p> <p> </p>
Data from: The effect of parasite infection on the recombination rate of the yellow fever mosquito Aedes aegyti
Sexual reproduction and meiotic recombination generate new genetic combinations and may thereby help an individual infected by a parasite to protect its offspring from being infected. While this idea is often used to understand the evolutionary forces underlying the maintenance of sex and recombination, it also suggests that infected individuals should increase plastically their rate of recombination. We tested the latter idea with the mosquito Aedes aegypti and asked whether females infected by the microsporidian Vavraia culicis were more likely to have recombinant offspring than uninfected females. To measure the rate of recombination over a chromosome we analysed combinations of microsatellites on chromosome 3 in infected and uninfected females, in the (uninfected) males they copulated with and in their offspring. As predicted, the infected females were more likely to have recombinant offspring than the uninfected ones. These results show the ability of a female to diversify her offspring in response to parasitic infection by plastically increasing her recombination rate.
The current and future distribution of the yellow fever mosquito (Aedes aegypti) on Madeira Island [data set].
<p><strong>Additional data for manuscript:</strong> "The current and future distribution of the yellow fever mosquito (<em>Aedes aegypti</em>) on Madeira Island" published in PLOS Neglected Tropical Diseases by José Maurício Santos, César Capinha, Jorge Rocha, Carla Alexandra Sousa.</p> <p><strong>Corresponding authors:</strong> José Maurício Santos (josemauriciosantos@campus.ul.pt) & César Capinha (cesarcapinha@campus.ul.pt).</p> <p> </p> <p> </p> <p> </p>
The impact of weekly fever-screening and treatment and monthly RDT testing and treatment on the infectious reservoir of malaria in Burkina Faso: results from a cluster-randomised trial
<p>The majority of malaria infections in endemic countries are asymptomatic and a source of onward transmission to mosquitoes. Malaria transmission and disease burden could be reduced by improving early detection and treatment of these infections with active screening approaches. In an 18-month cluster-randomized study in Sapone, Burkina Faso, households were enrolled and randomised to 1 of 3 arms: arm 1 - control; arm 2 - active weekly screening for febrile individuals and treatment if rapid diagnostic test (RDT) positive; or arm 3 – active weekly fever-screening (as arm 2) plus monthly RDT-testing regardless of symptoms. The primary outcome was parasite prevalence by qPCR in the end-of-study cross-sectional survey. Secondary outcomes included parasite and gametocyte prevalence and density in all three end-of-season cross-sectional surveys, incidence of infection, and the transmissibility of infections to mosquitoes. A total of<strong> </strong>906 individuals were enrolled during 2 phases. In Phase 1, 412 individuals were enrolled between August 9 and 17, 2018, and in Phase 2, 494 individuals were enrolled between January 10 and 31, 2019. In the end-of-study cross-sectional survey, malaria parasite prevalence by qPCR was statistically significantly lower in arm 3 (29·26% 79/270), but not in arm 2 (45·66% 121/265), when compared to arm 1 (48·72% 133/273) (RR = 0·65, 95%CI = 0·52 to 0·81, P=0·0001). Total parasite and gametocyte prevalence and density were also significantly lower in arm 3 in all surveys. The largest differences were seen at the end of the dry season, with gametocyte prevalence 78·38 % and transmission potential 98·20% lower in arm 3 vs arm 1. Active monthly RDT testing and treatment can reduce parasite carriage and the infectious reservoir of malaria to <2% when used during the dry season. This insight may inform approaches for malaria control and elimination.</p>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - North Macedonia
<p>This dataset contains ASF laboratory analytical results in domestic pigs and wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2023_MK - Food and Veterinary Agency (FVA)</li> <li>ASF2022_MK - Food and Veterinary Agency (FVA)*</li> <li>ASF2022_MK - Food and Veterinary Agency (FVA)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Fig. 1 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 1. The location of the study site (Santa Rosa Ranch) near Riviera, TX.
Fig. 3 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 3. Lure bucket recessed into soil at each treatment location at the Santa Rosa Ranch.
Fig. 4 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 4. Distribution of animal visits to lure sites at the Santa Rosa Ranch, near Riviera, TX.
Postural fall in systolic blood pressure is an useful warning sign in Dengue fever
<p><strong>Purpose</strong>: Capillary leak is the hallmark of development of severe dengue. A rise in hematocrit has been a major warning sign in WHO guidelines. Postural hypotension, which could reflect the intravascular volume reduction in capillary leak, has been noted as a warning sign in CDC and Pan American Health Organisation guidelines. We evaluated the diagnostic accuracy of Postural hypotension as a marker of development of severe dengue.</p> <p><strong>Methods</strong>: 150 patients admitted with dengue fever were recruited in this prospective observational study. Diagnostic accuracy of conventional warning signs (<span>abdominal pain, persistent vomiting, fluid accumulation, mucosal bleeding, lethargy, liver enlargement, increasing hematocrit with decreasing platelets)</span> and postural hypotension was evaluated.</p> <p><strong>Result</strong>: 23 (15.3%) subjects developed severe dengue. Multiple logistic regression analysis showed that Ascites/Pleural effusion and postural fall in systolic blood pressure of >10.33% had an odds ratio of 5.024(95%CI:1.11 – 22.75) and 11.369 (95% CI:2.27 – 56.87) respectively. Other parameters did not reach statistical significance. Sensitivity and specificity of Ascites/Pleural effusion were 82.6% and 88.2% for development of severe dengue, whereas postural fall in systolic blood pressure had sensitivity and specificity of 87% and 82.7%.</p> <p><strong>Conclusion</strong>: These findings present a strong case for including postural hypotension as a warning sign in patients with dengue fever, especially in resource-limited settings.</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Bulgaria
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2022_BG - Bulgarian Food Safety Agency (BFSA)</li> </ul>
Data on: Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China
<p>This dataset is the data used in the paper of Global change biology entitled "<span>Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China</span>". <span>We use an integrated multi-model, multi-scenario framework to assess the impact of global climate change on SFTS disease in the mainland of China. The SFTS incidence in three time periods (2030-2039, 2050-2059, 2080-2089) is predicted to be increased as compared to the 2010s in the context of various RCPs. The projected spatiotemporal dynamics of SFTS will be heterogeneous across provinces. Notably, we predict possible outbreaks in Xinjiang and Yunnan in the future, where only sporadic cases have been reported previously. </span><span>These findings highlight the need for population awareness of SFTS in endemic regions, and enhanced monitoring in potential risk areas. </span></p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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