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    Wyświetlanie 1-7 z 7
    Tytuł:
    Genetic drift and purifying selection shape within-host influenza A virus populations during natural swine infections.
    Autorzy:
    VanInsberghe D; Department of Microbiology and Immunology, Emory University, Atlanta, Georgia, United States of America.; Department of Biology, Emory University, Atlanta, Georgia, United States of America.
    McBride DS; Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, Ohio, United States of America.
    DaSilva J; Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
    Stark TJ; Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
    Lau MSY; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
    Shepard SS; Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
    Barnes JR; Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
    Bowman AS; Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, Ohio, United States of America.
    Lowen AC; Department of Microbiology and Immunology, Emory University, Atlanta, Georgia, United States of America.; Emory Center of Excellence for Influenza Research and Response (Emory-CEIRR), Atlanta, Georgia, United States of America.
    Koelle K; Department of Biology, Emory University, Atlanta, Georgia, United States of America.; Emory Center of Excellence for Influenza Research and Response (Emory-CEIRR), Atlanta, Georgia, United States of America.
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    Źródło:
    PLoS pathogens [PLoS Pathog] 2024 Apr 16; Vol. 20 (4), pp. e1012131. Date of Electronic Publication: 2024 Apr 16.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Comparing and linking machine learning and semi-mechanistic models for the predictability of endemic measles dynamics.
    Autorzy:
    Lau MSY; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, United States of America.
    Becker A; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, United States of America.
    Madden W; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, United States of America.
    Waller LA; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, United States of America.
    Metcalf CJE; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, United States of America.
    Grenfell BT; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, United States of America.
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    Źródło:
    PLoS computational biology [PLoS Comput Biol] 2022 Sep 08; Vol. 18 (9), pp. e1010251. Date of Electronic Publication: 2022 Sep 08 (Print Publication: 2022).
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Communicable Diseases*/epidemiology
    Epidemics*
    Measles*/epidemiology
    Disease Outbreaks ; Humans ; Machine Learning ; United States/epidemiology
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Post-lockdown changes of age-specific susceptibility and its correlation with adherence to social distancing measures.
    Autorzy:
    Lau MSY; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA. msy.lau@emory.edu.
    Liu C; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA.
    Siegler AJ; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA.
    Sullivan PS; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA.
    Waller LA; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA.
    Shioda K; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA.; Gangarosa Department of Environmental Health, Emory University, Atlanta, USA.
    Lopman BA; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA.
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    Źródło:
    Scientific reports [Sci Rep] 2022 Mar 17; Vol. 12 (1), pp. 4637. Date of Electronic Publication: 2022 Mar 17.
    Typ publikacji:
    Journal Article
    MeSH Terms:
    COVID-19*/epidemiology
    COVID-19*/prevention & control
    Physical Distancing*
    Adolescent ; Age Factors ; Bayes Theorem ; Child ; Child, Preschool ; Communicable Disease Control ; Humans ; Infant ; Infant, Newborn ; SARS-CoV-2 ; Seroepidemiologic Studies
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Transmission network reconstruction for foot-and-mouth disease outbreaks incorporating farm-level covariates.
    Autorzy:
    Firestone SM; Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia.
    Hayama Y; Viral Disease and Epidemiology Research Division, National Institute of Animal Health, National Agriculture Research Organization, Tsukuba, Ibaraki, Japan.
    Lau MSY; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
    Yamamoto T; Viral Disease and Epidemiology Research Division, National Institute of Animal Health, National Agriculture Research Organization, Tsukuba, Ibaraki, Japan.
    Nishi T; Exotic Disease Research Station, National Institute of Animal Health, National Agriculture and Food Research Organization, Kodaira, Tokyo, Japan.
    Bradhurst RA; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Parkville, VIC, Australia.
    Demirhan H; Mathematical Sciences Discipline, School of Science, RMIT University, Melbourne, VIC, Australia.
    Stevenson MA; Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia.
    Tsutsui T; Viral Disease and Epidemiology Research Division, National Institute of Animal Health, National Agriculture Research Organization, Tsukuba, Ibaraki, Japan.
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    Źródło:
    PloS one [PLoS One] 2020 Jul 15; Vol. 15 (7), pp. e0235660. Date of Electronic Publication: 2020 Jul 15 (Print Publication: 2020).
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Cattle Diseases/*transmission
    Foot-and-Mouth Disease/*transmission
    Swine Diseases/*transmission
    Animals ; Australia/epidemiology ; Bayes Theorem ; Cattle ; Cattle Diseases/epidemiology ; Cattle Diseases/virology ; Disease Outbreaks ; Farms ; Foot-and-Mouth Disease/epidemiology ; Foot-and-Mouth Disease/virology ; Foot-and-Mouth Disease Virus/classification ; Foot-and-Mouth Disease Virus/isolation & purification ; Japan/epidemiology ; Markov Chains ; Monte Carlo Method ; Phylogeny ; Quarantine/veterinary ; Swine ; Swine Diseases/epidemiology ; Swine Diseases/virology
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Model diagnostics and refinement for phylodynamic models.
    Autorzy:
    Lau MSY; Department of Ecology and Evolutionary Biology, Princeton University, New Jersey, USA.
    Grenfell BT; Department of Ecology and Evolutionary Biology, Princeton University, New Jersey, USA.; Fogarty International Center, National Institute of Health, Bethesda, MD, USA.
    Worby CJ; Broad Institute, Cambridge, MA 02142, USA.
    Gibson GJ; Maxwell Institute for Mathematical Sciences, School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
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    Źródło:
    PLoS computational biology [PLoS Comput Biol] 2019 Apr 05; Vol. 15 (4), pp. e1006955. Date of Electronic Publication: 2019 Apr 05 (Print Publication: 2019).
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Computational Biology/*methods
    Molecular Epidemiology/*methods
    Animals ; Computer Simulation ; Disease Outbreaks/statistics & numerical data ; Humans ; Models, Statistical ; Molecular Epidemiology/statistics & numerical data ; Phylogeny ; Viruses/pathogenicity
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Unreported cases in the 2014-2016 Ebola epidemic: Spatiotemporal variation, and implications for estimating transmission.
    Autorzy:
    Dalziel BD; Department of Integrative Biology, Oregon State University, Corvallis, Oregon, United States of America.; Department of Mathematics, Oregon State University, Corvallis, Oregon, United States of America.
    Lau MSY; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
    Tiffany A; Epidemiology and Population Health, Epicentre, Geneva, Switzerland.
    McClelland A; Emergency Health, International Federation of Red Cross and Red Crescent Societies, Geneva, Switzerland.
    Zelner J; Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor Michigan, United States of America.
    Bliss JR; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
    Grenfell BT; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.; The Woodrow Wilson School of Public and International Affairs Princeton University, Princeton, New Jersey, United States of America.
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    Źródło:
    PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2018 Jan 22; Vol. 12 (1), pp. e0006161. Date of Electronic Publication: 2018 Jan 22 (Print Publication: 2018).
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Disease Notification*
    Epidemics*
    Hemorrhagic Fever, Ebola/*epidemiology
    Hemorrhagic Fever, Ebola/*transmission
    Hemorrhagic Fever, Ebola/mortality ; Humans ; Prevalence ; Retrospective Studies ; Sierra Leone/epidemiology ; Spatio-Temporal Analysis ; Survival Analysis
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    A mechanistic spatio-temporal framework for modelling individual-to-individual transmission-With an application to the 2014-2015 West Africa Ebola outbreak.
    Autorzy:
    Lau MSY; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
    Gibson GJ; Maxwell Institute for Mathematical Sciences, Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, United Kingdom.
    Adrakey H; Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
    McClelland A; International Federation of Red Cross and Red Crescent Societies, Geneva, Switzerland.
    Riley S; MRC Centre for Outbreak Analysis and Modelling, Department Infectious Disease Epidemiology, Imperial College, London, United Kingdom.
    Zelner J; School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
    Streftaris G; Maxwell Institute for Mathematical Sciences, Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, United Kingdom.
    Funk S; Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
    Metcalf J; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
    Dalziel BD; Department of Integrative Biology, Oregon State University, Corvallis, Oregon, United States of America.; Department of Mathematics, Oregon State University, Corvallis, Oregon, United States of America.
    Grenfell BT; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
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    Źródło:
    PLoS computational biology [PLoS Comput Biol] 2017 Oct 30; Vol. 13 (10), pp. e1005798. Date of Electronic Publication: 2017 Oct 30 (Print Publication: 2017).
    Typ publikacji:
    Journal Article
    MeSH Terms:
    Models, Statistical*
    Spatio-Temporal Analysis*
    Disease Outbreaks/*statistics & numerical data
    Disease Transmission, Infectious/*statistics & numerical data
    Hemorrhagic Fever, Ebola/*epidemiology
    Hemorrhagic Fever, Ebola/*transmission
    Africa, Western/epidemiology ; Computer Simulation ; Geographic Information Systems/statistics & numerical data ; Humans ; Prevalence ; Proportional Hazards Models ; Risk Assessment/methods
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
      Wyświetlanie 1-7 z 7

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