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126 results for “disease emergence”
Data from: Decision making for mitigating wildlife diseases: from theory to practice for an emerging fungal pathogen of amphibians
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Data from: Museum specimen data reveal emergence of a plant disease may be linked to increases in the insect vector population
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Data from: Reconstructing the emergence of a lethal infectious disease of wildlife supports a key role for spread through translocations by humans
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Data from: Megafauna decline have reduced pathogen dispersal which may have increased emergent infectious diseases
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Data from: Real-time decision-making during emergency disease outbreaks
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Data from: Association mapping reveals candidate loci for resistance and anemic response to an emerging temperature-driven parasitic disease in a wild salmonid fish
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Experimental evidence of warming-induced disease emergence and its prediction by a trait-based mechanistic model
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The trend of morbidity and mortality of Coronavirus disease 2019 under the first-level public health emergency response in China
<p>This is our data for the article titled "The trend of morbidity and mortality of Coronavirus disease 2019 under the first-level public health emergency response in China". All the data were publically available. In detail, data in China were collected from the daily epidemic reports released by Chinese national and provincial health commissions (http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml.). Outside China, data were collected from daily situation reports by World Health Organization including cumulative confirmed and death cases (https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/.).</p>
Data: Experimental evidence of warming-induced disease emergence and its prediction by a trait-based mechanistic model
<p>Predicting the effects of seasonality and climate change on the emergence and spread of infectious disease remains difficult, in part because of poorly understood connections between warming and the mechanisms driving disease. Trait-based mechanistic models combined with thermal performance curves arising from the Metabolic Theory of Ecology (MTE) have been highlighted as a promising approach going forward; however, this framework has not been tested under controlled experimental conditions that isolate the role of gradual temporal warming on disease dynamics and emergence. Here, we provide experimental evidence that a slowly warming host – parasite system can be pushed through a critical transition into an epidemic state. We then show that a trait-based mechanistic model with MTE functional forms can predict the critical temperature for disease emergence, subsequent disease dynamics through time, and final infection prevalence in an experimentally warmed system of <i>Daphnia </i>and a microsporidian parasite. Our results serve as a proof of principle that trait-based mechanistic models using MTE sub-functions can predict warming-induced disease emergence in data-rich systems – a critical step towards generalizing the approach to other systems.</p>
Data from: Using multi-response models to investigate pathogen coinfections across scales: insights from emerging diseases of amphibians
1.Associations among parasites affect many aspects of host-parasite dynamics, but a lack of analytical tools has limited investigations of parasite correlations in observational data that are often nested across spatial and biological scales. 2.Here we illustrate how hierarchical, multiresponse modeling can characterize parasite associations by allowing for hierarchical structuring, offering estimates of uncertainty, and incorporating correlational model structures. After introducing the general approach, we apply this framework to investigate coinfections among four amphibian parasites (the trematodes Ribeiroia ondatrae and Echinostoma spp., the chytrid fungus Batrachochytrium dendrobatidis, and ranaviruses) and among >2000 individual hosts, 90 study sites, and five amphibian host species. 3.Ninety-two percent of sites and 80% of hosts supported two or more pathogen species. Our results revealed strong correlations between parasite pairs that varied by scale (from among hosts to among sites) and classification (microparasite versus macroparasite), but were broadly consistent across taxonomically diverse host species. At the host-scale, infection by the trematode R. ondatrae correlated positively with the microparasites, B. dendrobatidis and ranavirus, which were themselves positively associated. However, infection by a second trematode (Echinostoma spp.) correlated negatively with B. dendrobatidis and ranavirus, both at the host- and site-level scales, highlighting the importance of differential relationships between micro- and macroparasites. 4.Given the extensive number of coinfecting symbiont combinations inherent to natural systems, particularly across multiple host species, multiresponse modeling of cross-sectional field data offers a valuable tool to identify a tractable number of hypothesized interactions for experimental testing while accounting for uncertainty and potential sources of co-exposure. For amphibians specifically, the high frequency of co-occurrence and coinfection among these pathogens – each of which is known to impair host fitness or survival – highlights the urgency of understanding parasite associations for conservation and disease management.
Data from: Genetic structure of the white-footed mouse in the context of the emergence of Lyme disease in southern Québec
[No abstract entered]
Supplementary material 1 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Records of SBD in France and Switzerland from 1990 to 2021 (red dots)
Supplementary material 2 from: Gougherty AV (2023) Emerging tree diseases are accumulating rapidly in the native and non-native ranges of Holarctic trees. NeoBiota 87: 143-160. https://doi.org/10.3897/neobiota.87.103525
Publications of first reports of pathogens on 24 tree host genera published since 2000
Supplementary material 1 from: Gougherty AV (2023) Emerging tree diseases are accumulating rapidly in the native and non-native ranges of Holarctic trees. NeoBiota 87: 143-160. https://doi.org/10.3897/neobiota.87.103525
Supplementary images
PartnerED Care: Coordinated Emergency Department Transitions for Assisted Living Patients With Alzheimer's Disease and Related Dementias
ClinicalTrials.gov study NCT06933849. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Using multi-response models to investigate pathogen coinfections across scales: insights from emerging diseases of amphibians
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Data from: Genetic structure of the white-footed mouse in the context of the emergence of Lyme disease in southern Québec
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Data from: Anticipating the emergence of infectious diseases
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Data: Experimental evidence of warming-induced disease emergence and its prediction by a trait-based mechanistic model
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Data from: Waiting time to infectious disease emergence
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.