0000000000282841

AUTHOR

Serge Morand

0000-0003-3986-7659

showing 13 related works from this author

A comparison of the structure of helminth communities in the woodmouse, Apodemus sylvaticus, on islands of the western Mediterranean and continental …

2003

We investigated the pattern of helminth species diversity in woodmouse, Apodemus sylvaticus, on western Mediterranean islands. We first performed a survey of the helminth fauna of A. sylvaticus in Sicily. Despite the small sampling effort, parasite species richness in Sicily is large in comparison with parasite species richness on other Mediterranean islands. We tested the nestedness of helminth parasite species from a number of Mediterranean localities using data compiled from epidemiological surveys of the helminth species of A. sylvaticus. We showed a nested pattern for woodmouse helminth species on western Mediterranean islands which suggests that the distribution of parasites on these …

Mediterranean climateMaleFaunaPopulationSettore BIO/05 - ZoologiaHost-Parasite InteractionsMediterranean IslandsHelminthsparasitic diseasesAnimalseducationPhylogenyeducation.field_of_studyGeneral VeterinarybiologyGeographyEcologySpecies diversityGeneral Medicinebiology.organism_classificationEuropeMuridaeInfectious DiseasesInsect ScienceApodemusNestednessParasitologyFemaleSpecies richnessMediterranean Islands
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Why Does COVID-19 Case Fatality Rate Vary Among Countries?

2020

SummaryBackgroundWhile the epidemic of SARS-CoV-2 is spreading worldwide, there is much concern over the mortality rate that the infection induces. Available data suggest that COVID-19 case fatality rate varies temporally (as the epidemic progresses) and spatially (among countries). Here, we attempted to identify key factors possibly explaining the variability in case fatality rate across countries.MethodsWe used data on the temporal trajectory of case fatality rate provided by the European Center for Disease Prevention and Control, and country-specific data on different metrics describing the incidence of known comorbidity factors associated with an increased risk of COVID-19 mortality at …

medicine.medical_specialtyCoronavirus disease 2019 (COVID-19)[SDV]Life Sciences [q-bio]Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Public healthIncidence (epidemiology)Mortality rate010102 general mathematics030204 cardiovascular system & hematologymedicine.disease01 natural sciencesComorbidity3. Good health03 medical and health sciencesCountry level0302 clinical medicineGeographyIncreased riskCase fatality ratemedicineDisease prevention030212 general & internal medicine0101 mathematicsDemographySSRN Electronic Journal
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Asexual multiplication of larval parasitic worms: a predictor of adult life-history traits in Taeniidae?

2001

The hypothesis that asexual multiplication inside the intermediate host and adult life-history traits within the final host are independent is tested among Cestoda. Using phylogenetic relationships among the Cestoda species, we can show that asexual multiplication appears to have been lost and recovered several times throughout Taeniidae evolution; this allows a comparison of the adult life-history traits of species with and without asexual multiplication at the larval stage. The adult trait considered is the size of the parasite, since numerous life-history traits, such as fecundity and longevity, are correlated with size. If adult traits are independent of whether the larval stage reprodu…

Life Cycle StagesGeneral VeterinarybiologyHost (biology)CestodaIntermediate hostZoologyContext (language use)Asexual reproductionGeneral MedicineInterspecific competitionFecunditybiology.organism_classificationCestode InfectionsBiological EvolutionIntraspecific competitionHost-Parasite InteractionsInfectious DiseasesInsect ScienceLarvaReproduction AsexualAnimalsCestodaParasitologyPhylogenyParasitology research
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Abundance–variance and abundance–occupancy relationships in a marine host–parasite system: The importance of taxonomy and ecology of transmission

2011

Abundance-occupancy and abundance-variance relationships are two of the most general macroecological patterns capturing essential fundamentals of the structuring of species distributions and are widely documented for free-living animal and plant species populations at different spatial scales. However, empirical data for parasites have been gathered using appropriate sampling designs only recently. We performed analyses across species of the variation in infection parameters and patterns of aggregation of the most widespread parasites in the marine sparid fish Boops boops across seven localities of two marine biogeographical regions, the North East Atlantic and the Mediterranean. We used a …

0106 biological sciencesOccupancyPopulationSpatial distributionModels Biological010603 evolutionary biology01 natural sciencesHost SpecificityHost-Parasite Interactions030308 mycology & parasitologyFish Diseases03 medical and health sciencesAnimalsParasitesSeawaterEcosystem14. Life underwatereducationEcosystem0303 health scienceseducation.field_of_studybiologyEcologyBoops boopsbiology.organism_classificationPerciformesSpatial heterogeneityInfectious DiseasesTaxonParasitologyTaxonomy (biology)BiologieInternational Journal for Parasitology
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Testing the enemy release hypothesis: abundance and distribution patterns of helminth communities in grey mullets (Teleostei: Mugilidae) reveal the s…

2017

International audience; The abundance and aggregation patterns of helminth communities of two grey mullet hosts, Liza haematocheilus and Mugil cephalus, were studied across 14 localities in Atlantic and Pacific marine areas. The analysis matched parasite communities of (i) L. haematocheilus across its native and introduced populations (Sea of Japan and Sea of Azov, respectively) and (ii) the introduced population of L. haematocheilus with native populations of M. cephalus (Mediterranean, Azov-Black and Japan Seas). The total mean abundance (TMA), as a feature of the infection level in helminth communities, and slope b of the Taylor’s power law, as a measure of parasite aggregation at the in…

0106 biological sciences0301 basic medicineTotal mean abundancePopulationSpecies distributionIntroduced species010603 evolutionary biology01 natural sciencesHost SpecificityInvasive speciesFish Diseases03 medical and health sciencesSpecies SpecificityAbundance (ecology)AnimalsHelminths[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology14. Life underwatereducationeducation.field_of_studybiologyMugil cephalusEcologyMugilHost (biology)030108 mycology & parasitologybiology.organism_classificationTaylor’s lawSmegmamorphaInfectious DiseasesSpecies abundance distributionParasitologyLiza haematocheilusHelminthiasis AnimalIntroduced SpeciesAnimal Distribution
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SARS-CoV-2 and COVID-19: A genetic, epidemiological, and evolutionary perspective

2020

In less than five months, COVID-19 has spread from a small focus in Wuhan, China, to more than 5 million people in almost every country in the world, dominating the concern of most governments and public health systems. The social and political distresses caused by this epidemic will certainly impact our world for a long time to come. Here, we synthesize lessons from a range of scientific perspectives rooted in epidemiology, virology, genetics, ecology and evolutionary biology so as to provide perspective on how this pandemic started, how it is developing, and how best we can stop it.

0301 basic medicineEconomic growth[SDV]Life Sciences [q-bio]Gene ExpressionSeverity of Illness IndexDisease OutbreaksBiological CoevolutionChiropteraPandemicEpidemiologyPhylogenyComputingMilieux_MISCELLANEOUSEutheriaPhylodynamics3. Good healthEuropeInfectious DiseasesHost susceptibilityHost-Pathogen InteractionsSpike Glycoprotein CoronavirusAngiotensin-Converting Enzyme 2Coronavirus InfectionsMicrobiology (medical)medicine.medical_specialtyAsiaCoronavirus disease 2019 (COVID-19)Pneumonia Viral030106 microbiologyFILOGENIAPeptidyl-Dipeptidase ABiologyMicrobiologyArticleBetacoronavirus03 medical and health sciencesPoliticsGeneticsmedicineAnimalsHumansChinaPandemicsMolecular BiologyEcology Evolution Behavior and SystematicsSARS-CoV-2Public healthPerspective (graphical)COVID-19Immunity InnateCoronavirusImmune system030104 developmental biologyViral phylodynamicsNorth AmericaCoevolution
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Aggregation patterns of helminth populations in the introduced fish, Liza haematocheilus (Teleostei: Mugilidae): disentangling host–parasite relation…

2018

International audience; A number of hypotheses exist to explain aggregated distributions, but they have seldom been used to investigate differences in parasite spatial distribution between native and introduced hosts. We applied two aggregation models, the negative binomial distribution and Taylor's power law, to study the aggregation patterns of helminth populations from Liza haematocheilus across its native (Sea of Japan) and introduced (Sea of Azov) distribution ranges. In accordance with the enemy release hypothesis, we predicted that parasite populations in the introduced host range would be less aggregated than in the native host area, because aggregation is tightly constrained by abu…

0301 basic medicineAquatic Organisms030231 tropical medicinePopulationZoologyAbundance–variance relationshipsBiologySpatial distributionHost-Parasite InteractionsRussia03 medical and health sciencesFish Diseases0302 clinical medicineJapanAbundance (ecology)HelminthsParasite hostingAnimalsSeawater[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology14. Life underwaterTaxonomic rankeducationComputingMilieux_MISCELLANEOUSPopulation DensityEnemy release hypothesiseducation.field_of_studyResistance (ecology)Host (biology)Repeatability analysisBiodiversitySmegmamorpha030104 developmental biologyInfectious DiseasesTaxonTaylor’s power law.ParasitologyNegative binomial distributionHelminthiasis Animal[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Not everything is everywhere: the distance decay of similarity in a marine host-parasite system

2009

Aim  We test the similarity–distance decay hypothesis on a marine host–parasite system, inferring the relationships from abundance data gathered at the lowest scale of parasite community organization (i.e. that of the individual host). Location  Twenty-two seasonal samples of the bogue Boops boops (Teleostei: Sparidae) were collected at seven localities along a coastal positional gradient from the northern North-East Atlantic to the northern Mediterranean coast of Spain. Methods  We used our own, taxonomically consistent, data on parasite communities. The variations in parasite composition and structure with geographical and regional distance were examined at two spatial scales, namely loca…

Distance decayEcologyGeographical distanceEcologyAbundance (ecology)Animal ecologySpatial ecologySpecies diversityBiological dispersalBoops boopsBiologybiology.organism_classificationEcology Evolution Behavior and SystematicsJournal of Biogeography
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Invasive parasites are detectable by their abundance-occupancy relationships: the case of helminths from Liza haematocheilus (Teleostei: Mugilidae)

2018

Abstract The biogeographic patterns of abundance and prevalence of helminths from Liza haematocheilus were studied across its native (Sea of Japan) and introduced (Sea of Azov) distribution ranges. Abundance-occupancy relationships (AORs) were tested for the core-satellite and enemy release (ERH) species hypotheses in eight and 14 host samples from the native and introduced host ranges, respectively. The AOR model fitted parasite data extremely well, irrespective of whether the host or the parasite species were native or invasive. Except for co-introduced monogeneans, species were less abundant and prevalent in the introduced host population than in the native one, which agrees well with th…

0106 biological sciences0301 basic medicineRange (biology)PopulationZoologyBiologyGeneralist and specialist species010603 evolutionary biology01 natural sciencesFish Diseases03 medical and health sciencesAbundance (ecology)HelminthsAnimalsParasite hostingHelminths[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology14. Life underwatereducationComputingMilieux_MISCELLANEOUSParasitic life cycleseducation.field_of_studyPacific OceanHost (biology)Fishes030104 developmental biologyInfectious DiseasesParasitologyHelminthiasis AnimalIntroduced Species[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/SymbiosisInternational Journal for Parasitology
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Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)

2021

International audience; Most species in ecological communities are rare, whereas only a few are common. This distributional paradox has intrigued ecologists for decades but the interpretation of species abundance distributions remains elusive.We present Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ) as an R package. FuzzyQ shifts the focus from the prevailing species-categorization approach to develop a quantitative framework that seeks to place each species along a rarity-commonness gradient. Given a community surveyed over a number of sites, quadrats, or any other convenient sampling unit, FuzzyQ uses a fuzzy clustering algorithm that estimates a probab…

0106 biological sciencesAssembly rulesFuzzy clustering[SDV]Life Sciences [q-bio]Rare species010603 evolutionary biology01 natural sciencesFuzzy logic03 medical and health sciencesEnvironmental monitoringrarityEcology Evolution Behavior and Systematics030304 developmental biologyenvironmental monitoring0303 health sciencesCommunitybusiness.industryEcological ModelingEnvironmental resource managementassembly rulescommonness15. Life on landGeographyfuzzy clustering[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessabundance–occupancy distributionscommunity ecology
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Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ)

2020

Abstract1. Most species in ecological communities are rare whereas only a few are common. This distributional paradox has intrigued ecologists for decades but the interpretation of species abundance distributions remains elusive.2. We present Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ) as an R package. FuzzyQ shifts the focus from the prevailing species-categorization approach to develop a quantitative framework that seeks to place each species along a rare-commonness gradient. Given a community surveyed over a number of sites, quadrats, or any other convenient sampling unit, FuzzyQ uses a fuzzy clustering algorithm that estimates a probability for eac…

Ecological indicatorGeographyEnvironmental changeCommunityEcologyRange (biology)Abundance (ecology)Rare speciesSpecies richnessConservation biology
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Island incidence and mainland population density: Mammals from Mediterranean islands

2002

. The reasons why some species are resistant to extinction or are better invaders of islands than others remain unexplained. In this study, we test the hypothesis that mammals living on the mainland at higher density than predicted by the density/body mass relationship have a much greater chance to colonize a small island successfully, and/or that they are less likely to become extinct when living on small islands. For this, we used data compiled on mammals from a number of Mediterranean islands. We show a nested pattern for mammals on western Mediterranean islands, which suggests that the distribution of mammals on these islands is not the result of a random process. Using two comparative …

IslandsMammalsExtinctionEcologyPopulation sizeBiodiversitySettore BIO/05 - ZoologiaDensityNested patternExtinctionPopulation densityMediterranean seaGeographyparasitic diseasesMammalMainlandBiological invasionsMediterranean IslandsEcology Evolution Behavior and Systematics
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Ecologie de la santé

2017

Quand l'écologie pose son diagnostic. L'actualité nous le rappelle sans cesse : les maladies comme le paludisme, le Sida, ébola ou zika sont difficiles à combattre, et les maladies chroniques de type cancer, diabète ou maladies cardio-vasculaires toujours plus meurtrières. Pour la première fois de son histoire, l'humanité voit même son espérance de vie diminuer. Pour comprendre les raisons de cette crise sanitaire, l'écologie scientifique pose un autre regard sur la santé qui prend en considération les transformations de l'environnement et l'évolution de nos modes de vie. Cette nouvelle approche évolutive et écologique des problèmes de santé tente d'élucider les mécanismes en jeu dans la tr…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesdiagnostic[SDV.BV] Life Sciences [q-bio]/Vegetal Biologysantévulgarisationécologie
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