Dataset Information

Vector-borne parasite invasion in communities across space and time.

ABSTRACT: While vector-borne parasite transmission often operates via generalist-feeding vectors facilitating cross-species transmission in host communities, theory describing the relationship between host species diversity and parasite invasion in these systems is underdeveloped. Host community composition and abundance vary across space and time, generating opportunities for parasite invasion. To explore how host community variation can modify parasite invasion potential, we develop a model for vector-borne parasite transmission dynamics that includes a host community of arbitrary richness and species' abundance. To compare invasion potential across communities, we calculate the community basic reproductive ratio of the parasite. We compare communities comprising a set of host species to their subsets, which allows for flexible scenario building including the introduction of novel host species and species loss. We allow vector abundance to scale with, or be independent of, community size, capturing regulation by feeding opportunities and non-host effects such as limited oviposition sites. Motivated by equivocal data relating host species competency to abundance, we characterize plausible host communities via phenomenological relationships between host species abundance and competency. We identify an underappreciated mechanism whereby changes to communities simultaneously alter average competency and the vector to host ratio and demonstrate that the interaction can profoundly influence invasion potential.

SUBMITTER: Vinson JE

PROVIDER: S-EPMC6939907 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Vector-borne parasite invasion in communities across space and time.

Vinson John E JE Park Andrew W AW

Proceedings. Biological sciences 20191218 1917

While vector-borne parasite transmission often operates via generalist-feeding vectors facilitating cross-species transmission in host communities, theory describing the relationship between host species diversity and parasite invasion in these systems is underdeveloped. Host community composition and abundance vary across space and time, generating opportunities for parasite invasion. To explore how host community variation can modify parasite invasion potential, we develop a model for vector-b ...[more]

PMID: 31847769

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Project description:After a request from the European Commission, EFSA's Panel on Animal Health and Welfare summarised the main characteristics of 36 vector-borne diseases (VBDs) in https://efsa.maps.arcgis.com/apps/PublicGallery/index.html?appid=dfbeac92aea944599ed1eb754aa5e6d1. The risk of introduction in the EU through movement of livestock or pets was assessed for each of the 36 VBDs individually, using a semiquantitative Method to INTegrate all relevant RISK aspects (MINTRISK model), which was further modified to a European scale into the http://www3.lei.wur.nl/mintrisk/ModelMgt.aspx. Only eight of the 36 VBD-agents had an overall rate of introduction in the EU (being the combination of the rate of entry, vector transmission and establishment) which was estimated to be above 0.001 introductions per year. These were Crimean-Congo haemorrhagic fever virus, bluetongue virus, West Nile virus, Schmallenberg virus, Hepatozoon canis, Leishmania infantum, Bunyamwera virus and Highlands J. virus. For these eight diseases, the annual extent of spread was assessed, assuming the implementation of available, authorised prevention and control measures in the EU. Further, the probability of overwintering was assessed, as well as the possible impact of the VBDs on public health, animal health and farm production. For the other 28 VBD-agents for which the rate of introduction was estimated to be very low, no further assessments were made. Due to the uncertainty related to some parameters used for the risk assessment or the instable or unpredictability disease situation in some of the source regions, it is recommended to update the assessment when new information becomes available. Since this risk assessment was carried out for large regions in the EU for many VBD-agents, it should be considered as a first screening. If a more detailed risk assessment for a specific VBD is wished for on a national or subnational level, the EFSA-VBD-RISK-model is freely available for this purpose.

Project description:BackgroundState-space models are important tools for quality control and analysis of error-prone animal movement data. The near real-time (within 24 h) capability of the Argos satellite system can aid dynamic ocean management of human activities by informing when animals enter wind farms, shipping lanes, and other intensive use zones. This capability also facilitates the use of ocean observations from animal-borne sensors in operational ocean forecasting models. Such near real-time data provision requires rapid, reliable quality control to deal with error-prone Argos locations.MethodsWe formulate a continuous-time state-space model to filter the three types of Argos location data (Least-Squares, Kalman filter, and Kalman smoother), accounting for irregular timing of observations. Our model is deliberately simple to ensure speed and reliability for automated, near real-time quality control of Argos location data. We validate the model by fitting to Argos locations collected from 61 individuals across 7 marine vertebrates and compare model-estimated locations to contemporaneous GPS locations. We then test assumptions that Argos Kalman filter/smoother error ellipses are unbiased, and that Argos Kalman smoother location accuracy cannot be improved by subsequent state-space modelling.ResultsEstimation accuracy varied among species with Root Mean Squared Errors usually <5 km and these decreased with increasing data sampling rate and precision of Argos locations. Including a model parameter to inflate Argos error ellipse sizes in the north - south direction resulted in more accurate location estimates. Finally, in some cases the model appreciably improved the accuracy of the Argos Kalman smoother locations, which should not be possible if the smoother is using all available information.ConclusionsOur model provides quality-controlled locations from Argos Least-Squares or Kalman filter data with accuracy similar to or marginally better than Argos Kalman smoother data that are only available via fee-based reprocessing. Simplicity and ease of use make the model suitable both for automated quality control of near real-time Argos data and for manual use by researchers working with historical Argos data.

Project description:BackgroundHuman illnesses caused by parasites, viruses, and bacteria that are transmitted by vectors are called vector-borne diseases. Vector-borne diseases usually affect the poorest populations, particularly where there is a lack of access to adequate housing, safe drinking water, and sanitation. This community-based cross-sectional study was, conducted to assess the prevalence of self-reported vector-borne diseases and associated factors in the rural communities of northwest Ethiopia.MethodsA community-based cross-sectional study design with structured observation was conducted among 1191 randomly selected rural households in northwest Ethiopia from April to June 2017. Data were collected by using a structured questionnaire; and observation checklist. Multivariable binary logistic regression analysis was used to identify variables associated with the prevalence of self-reported vector-borne diseases on the basis of adjusted odds ratio (AOR) with 95% confidence interval (CI) and P-values <.05.ResultsIn the current study, 216 (18.1%) of the rural households reported one or more vector-borne diseases. Scabies (9.5%) were the most reported vector-borne disease followed by Malaria (6.9%). The prevalence of self-reported vector-borne diseases was statistically associated with the head of the family (mother) (AOR = 0.13, 95% CI = 0.02-0.72), regular cleaning of the living environment (AOR = 0.51, 95% CI = 0.36-0.74), poor cleanness of the living rooms (AOR = 1.77, 95% CI = 1.03-3.03), and moderate cleanness of the floor (AOR = 1.64, 95% CI = 1.06-2.52).ConclusionThe prevalence of self-reported vector-borne diseases was high in the rural communities of northwest Ethiopia. The low prevalence was associated with family head; regular cleaning of living environment and cleanness of the floor. Designing and strengthening an intervention strategy for environmental sanitation, regular cleaning of living house, and keeping personal hygiene shall be considered.

Dataset Information

Vector-borne parasite invasion in communities across space and time.

Publications

Vector-borne parasite invasion in communities across space and time.

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