Find research datasets worth reusing

opencc-by-4.0Aug 2020View details →

AI-Derived West Nile Virus Determinants Maps - 2018 Europe - Data

Data for AI-Derived West Nile Virus Determinants Maps 2018 Europe <ol> <li>Original (nominal value) data</li> <li>SHAP-derived effect data </li> </ol>

opennotspecifiedJan 2021View details →

FIGURE 3 in First record of the West Nile virus bridge vector Culex modestus Ficalbi (Diptera Culicidae) in Belgium, validated by DNA barcoding

FIGURE 3. NJ tree based on COI sequences downloaded from BOLD, including Culex species recorded from Belgium (Boukraa et al. 2015) and sequences of Cx. modestus (Table 1). Bootstrap values are indicated above the branches. The blue square gives a zoom view of the un-collapsed tree.

opennotspecifiedJan 2021View details →

FIGURE 2 in First record of the West Nile virus bridge vector Culex modestus Ficalbi (Diptera Culicidae) in Belgium, validated by DNA barcoding

FIGURE 2. The small vernal pond vegetated with common cattail (Typha latifolia) where the Cx. modestus larva was collected.

opennotspecifiedJan 2021View details →

FIGURE 1 in First record of the West Nile virus bridge vector Culex modestus Ficalbi (Diptera Culicidae) in Belgium, validated by DNA barcoding

FIGURE 1. (A) Posterior part of the mounted Cx. modestus larva. Zoom on the diagnostic characteristic of the siphon, showing disarrayed insertion points of the ventral siphonal setae. (B) Posterior part of a mounted Cx. pipiens larva.

dryad32/100

Data from: Stress hormones predict a host superspreader phenotype in the West Nile virus system

Glucocorticoid stress hormones, such as corticosterone (CORT), have profound effects on the behaviour and physiology of organisms, and thus have the potential to alter host competence and the contributions of individuals to population- and community-level pathogen dynamics. For example, CORT could alter the rate of contacts among hosts, pathogens and vectors through its widespread effects on host metabolism and activity levels. CORT could also affect the intensity and duration of pathogen shedding and risk of host mortality during infection. We experimentally manipulated songbird CORT, asking how CORT affected behavioural and physiological responses to a standardized West Nile virus (WNV) challenge. Although all birds became infected after exposure to the virus, only birds with elevated CORT had viral loads at or above the infectious threshold. Moreover, though the rate of mortality was faster in birds with elevated CORT compared with controls, most hosts with elevated CORT survived past the day of peak infectiousness. CORT concentrations just prior to inoculation with WNV and anti-inflammatory cytokine concentrations following viral exposure were predictive of individual duration of infectiousness and the ability to maintain physical performance during infection (i.e. tolerance), revealing putative biomarkers of competence. Collectively, our results suggest that glucocorticoid stress hormones could directly and indirectly mediate the spread of pathogens.

opencc-zeroDec 2016View details →

opencc-by-sa-4.0May 2024View details →

Dataset accompanying the article: West Nile virus surveillance using sentinel birds: results of eleven years of West Nile virus testing in corvids in a region of Northern Italy

In this dataset are resumed the results of West Nile virus surveillance in sentinel corvids in the Emilia-Romagna region, Northern Italy. Overall, 15,632 European magpies (Pica pica), 4670 Hooded crows (Corvus cornix), and 2012 Eurasian jays (Garrulus glandarius) were collected between May and October 2013-2023. In the nine provinces of the region, birds were shot or captured using Larsen traps and killed by trained hunters by cervical dislocation in accordance with the provisions of the national legislation on animal welfare (Council Regulation (EC) 1099/2009). Sampling was carried out on a voluntary basis under the supervision of the official veterinary services, which ensured rapid delivery of the birds to the laboratory in charge of testing. From each sampled bird, heart, brain, kidney, and spleen were pooled, mechanically homogenized and tested by real-time PCRs to detect WNV RNA (Del Amo et al., 2013; Eiden et al., 2010; Tang et al., 2006). All tests were performed in the same laboratory (Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna; IZSLER, Reggio Emilia site). The following data are available for statistical analysis: bird species, sampling date, sampling province, date of delivery to the laboratory, testing start date, test result, date of notification of positive result. In the same dataset are reported some data about incidence of human cases of disease due to West Nile virus infection (neurological disease or fever), per year, week, and province. The record trace is described in Table 1. References 1.      Del Amo, J., Sotelo, E., Fernández-Pinero, J., Gallardo, C., Llorente, F., Agüero, M., Jiménez-Clavero, M.A., 2013. A novel quantitative multiplex real-time RT-PCR for the simultaneous detection and differentiation of West Nile virus lineages 1 and 2, and of Usutu virus. J Virol Methods 189, 321–327. https://doi.org/10.1016/j.jviromet.2013.02.019 2.      Eiden, M., Vina-Rodriguez, A., Hoffmann, B., Ziegler, U., Groschup, M.H., 2010. Two new real-time quantitative reverse transcription polymerase chain reaction assays with unique target sites for the specific and sensitive detection of lineages 1 and 2 West Nile virus strains. J Vet Diagn Invest 22, 748–753. https://doi.org/10.1177/104063871002200515  3.      Tang, Y., Anne Hapip, C., Liu, B., Fang, C.T., 2006. Highly sensitive TaqMan RT-PCR assay for detection and quantification of both lineages of West Nile virus RNA. J Clin Virol 36, 177–182. <a href="https://doi.org/10.1016/j.jcv.2006.02.008">https://doi.org/10.1016/j.jcv.2006.02.008</a>   Table 1. Dataset record trace <table> <tbody> <tr> <td> Field_name </td> <td> Description </td> </tr> <tr> <td> Year </td> <td> Year of sampling </td> </tr> <tr> <td> province_CODE </td> <td> Italian code of the province of sampling </td> </tr> <tr> <td> BIRD_species </td> <td> Bird species collected: magpie (Pica pica), hooded crow (Corvus cornix);    jay (Garrulus glandarius) </td> </tr> <tr> <td> N_birds_collected </td> <td> Number of birds collected </td> </tr> <tr> <td> Sampling_ID </td> <td> Sampling code </td> </tr> <tr> <td> dt_sampling </td> <td> Sampling date of birds </td> </tr> <tr> <td> dt_delivery </td> <td> Date of delivery to the lab (birds) </td> </tr> <tr> <td> dt_registration </td> <td> Date of registration of the lab (birds) </td> </tr> <tr> <td> dt_analysis </td> <td> Date of analysis (birds) </td> </tr> <tr> <td> dt_notification </td> <td> Date of result notification (birds) </td> </tr> <tr> <td> WNV_PCR_Positive </td> <td> Number of birds with WNV Positive result (PCR) </td> </tr> <tr> <td> WNV_PCR_tested </td> <td> Number of birds tested (PCR) </td> </tr> <tr> <td> WNV_PCR_not_tested </td> <td> Number of birds not tested </td> </tr> <tr> <td> WNV_PCR_Negative </td> <td> Number of birds with WNV Negative result (PCR) </td> </tr> <tr> <td> sampling_week_corvids </td> <td> Number of week of sampling (birds) </td> </tr> <tr> <td> notification_week_corvids </td> <td> Number of week of result notification (birds) </td> </tr> <tr> <td> num_WNhuman_cases </td> <td> Number of WN disease human cases </td> </tr> <tr> <td> first_human_notification_dt </td> <td> Date of notification of the first human disease case </td> </tr> <tr> <td> province_pop </td> <td> Province population </td> </tr> <tr> <td> human_inc </td> <td> Incidence of human cases (x100,000) </td> </tr> <tr> <td> flag_season_human_cases </td> <td> Occurrence of WN human cases (1=Yes; 0=No) </td> </tr> <tr> <td> week_first human_case </td> <td> Number of week of notification of the first human disease case </td> </tr> <tr> <td> early_detection_code </td> <td> Early detection code (1=first detection in birds; 0=first detection in human beings; 9=No case detection in human beings) </td> </tr> <tr> <td> province_sup_km2 </td> <td> Province surface (km2) </td> </tr> <tr> <td> delta_sampling_lab </td> <td> Days from sampling to delivery to the lab (birds) </td> </tr> <tr> <td> delta_lab_testing </td> <td> Days from lab registration to test (birds) </td> </tr> <tr> <td> delta_testing_notification </td> <td> Days from testing to result notification (birds) </td> </tr> <tr> <td> delta_sampling_notification </td> <td> Days from sampling to result notification (birds) </td> </tr> </tbody> </table>

closedIPD-NOFeb 2026View details →

West Nile Virus Seroprevalence Under Bird Ringers

ClinicalTrials.gov study NCT05294003. IPD Sharing: NO. Countries: 1. Publications: 5.

Evaluating the Safety and Immunogenicity of a Live Attenuated West Nile Virus Vaccine for West Nile Encephalitis in Adults 50 to 65 Years of Age

ClinicalTrials.gov study NCT02186626. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Phase I Study of West Nile Virus Vaccine

ClinicalTrials.gov study NCT00300417. IPD Sharing: Not stated. Countries: 1. Publications: 2.

West Nile Virus Natural History

ClinicalTrials.gov study NCT00138463. IPD Sharing: Not stated. Countries: 2. Publications: 1.

Natural History of West Nile Virus Infection

ClinicalTrials.gov study NCT00069303. IPD Sharing: Not stated. Countries: 1. Publications: 3.

Omr-IgG-am(Trademark) for Treating Patients With or at High Risk for West Nile Virus Disease

ClinicalTrials.gov study NCT00069316. IPD Sharing: Not stated. Countries: 1. Publications: 4.

Safety of and Immune Response to a West Nile Virus Vaccine (WN/DEN4-3'delta30) in Healthy Adults

ClinicalTrials.gov study NCT00094718. IPD Sharing: Not stated. Countries: 1. Publications: 5.

Vaccine to Prevent West Nile Virus Disease

ClinicalTrials.gov study NCT00106769. IPD Sharing: Not stated. Countries: 1. Publications: 2.

Early Interferon-beta Treatment for West-Nile Virus Infection

ClinicalTrials.gov study NCT06510426. IPD Sharing: Not stated. Countries: 1. Publications: 11.

Safety of and Immune Response to a West Nile Virus Vaccine (WN/DEN4delta30) in Healthy Adults

ClinicalTrials.gov study NCT00537147. IPD Sharing: Not stated. Countries: 1. Publications: 2.