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  1. Article ; Online: Two decades of population genomics: will we ever agree on bacterial species?

    Hanage, William P

    BMC biology

    2024  Volume 22, Issue 1, Page(s) 20

    MeSH term(s) Metagenomics ; Bacteria/genetics ; Genomics ; Genome, Bacterial
    Language English
    Publishing date 2024-01-26
    Publishing country England
    Document type Letter
    ZDB-ID 2133020-7
    ISSN 1741-7007 ; 1741-7007
    ISSN (online) 1741-7007
    ISSN 1741-7007
    DOI 10.1186/s12915-023-01797-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Human behavior and disease dynamics.

    Bergstrom, Carl T / Hanage, William P

    Proceedings of the National Academy of Sciences of the United States of America

    2023  Volume 121, Issue 1, Page(s) e2317211120

    MeSH term(s) Humans ; Epidemiological Models ; Models, Biological
    Language English
    Publishing date 2023-12-27
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2317211120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Intrinsic Severity of the SARS-CoV-2 Omicron Variant. Reply.

    Bhattacharyya, Roby P / Hanage, William P

    The New England journal of medicine

    2022  Volume 386, Issue 19, Page(s) 1867–1868

    MeSH term(s) COVID-19 ; Humans ; Mutation ; SARS-CoV-2
    Language English
    Publishing date 2022-04-20
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 207154-x
    ISSN 1533-4406 ; 0028-4793
    ISSN (online) 1533-4406
    ISSN 0028-4793
    DOI 10.1056/NEJMc2203679
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Challenges in Inferring Intrinsic Severity of the SARS-CoV-2 Omicron Variant.

    Bhattacharyya, Roby P / Hanage, William P

    The New England journal of medicine

    2022  Volume 386, Issue 7, Page(s) e14

    MeSH term(s) COVID-19/epidemiology ; COVID-19/mortality ; COVID-19/transmission ; COVID-19/virology ; Humans ; Patient Acuity ; SARS-CoV-2/pathogenicity ; South Africa/epidemiology ; Virulence
    Language English
    Publishing date 2022-02-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 207154-x
    ISSN 1533-4406 ; 0028-4793
    ISSN (online) 1533-4406
    ISSN 0028-4793
    DOI 10.1056/NEJMp2119682
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Two Health or Not Two Health? That Is the Question.

    Hanage, William P

    mBio

    2019  Volume 10, Issue 2

    Abstract: How much drug-resistant infections in livestock contribute to disease in humans is controversial. While zoonoses are a prominent cause of emerging infections, and the profligate use of antibiotics as growth promoters is expected to lead to the spread of ... ...

    Abstract How much drug-resistant infections in livestock contribute to disease in humans is controversial. While zoonoses are a prominent cause of emerging infections, and the profligate use of antibiotics as growth promoters is expected to lead to the spread of resistance, this resistance could remain concentrated in animal pathogens and only rarely spill over into humans. A recent paper compares genomes of
    MeSH term(s) Animals ; Anti-Bacterial Agents ; Escherichia coli/genetics ; Escherichia coli Infections ; Genomics ; Humans ; Interspersed Repetitive Sequences ; Livestock ; One Health
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2019-04-09
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2557172-2
    ISSN 2150-7511 ; 2161-2129
    ISSN (online) 2150-7511
    ISSN 2161-2129
    DOI 10.1128/mBio.00550-19
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Partial immunity and SARS-CoV-2 mutations.

    Hanage, William P / Russell, Colin A

    Science (New York, N.Y.)

    2021  Volume 372, Issue 6540, Page(s) 354

    MeSH term(s) COVID-19 ; COVID-19 Vaccines ; Humans ; Mutation ; SARS-CoV-2 ; Spike Glycoprotein, Coronavirus
    Chemical Substances COVID-19 Vaccines ; Spike Glycoprotein, Coronavirus
    Language English
    Publishing date 2021-04-22
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.abi4727
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: From bacterial genomics to clinical epidemiology: an interview with Bill Hanage.

    Hanage, William P

    BMC biology

    2018  Volume 16, Issue 1, Page(s) 122

    Abstract: Bill Hanage is an Associate Professor of Epidemiology at Harvard School of Public Health ...

    Abstract Bill Hanage is an Associate Professor of Epidemiology at Harvard School of Public Health, where he studies fundamental and applied epidemiology using genomic and evolutionary methods. Bill spoke to us about the different types of selection that determine pathogen populations, asking reviewers to highlight positives of papers, and whether we're closer to a causal framework for studying the microbiome.
    MeSH term(s) Clinical Medicine/history ; Epidemiology/history ; Genome, Bacterial ; Genomics/history ; History, 21st Century ; Massachusetts ; Microbiota/genetics ; Peer Review, Research ; Selection, Genetic
    Language English
    Publishing date 2018-11-01
    Publishing country England
    Document type Biography ; Historical Article ; Interview ; Portrait
    ISSN 1741-7007
    ISSN (online) 1741-7007
    DOI 10.1186/s12915-018-0588-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Reproducibility in science: important or incremental?

    Lee, Robyn S / Hanage, William P

    The Lancet. Microbe

    2020  Volume 1, Issue 2, Page(s) e59–60

    MeSH term(s) Reproducibility of Results ; Science/standards
    Keywords covid19
    Language English
    Publishing date 2020-05-14
    Publishing country England
    Document type Journal Article
    ISSN 2666-5247
    ISSN (online) 2666-5247
    DOI 10.1016/S2666-5247(20)30028-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Monkeypox Virus Infections in Humans.

    Elsayed, Sameer / Bondy, Lise / Hanage, William P

    Clinical microbiology reviews

    2022  Volume 35, Issue 4, Page(s) e0009222

    Abstract: Human monkeypox is a viral zoonosis endemic to West and Central Africa that has recently generated increased interest and concern on a global scale as an emerging infectious disease threat in the midst of the slowly relenting COVID-2019 disease pandemic. ...

    Abstract Human monkeypox is a viral zoonosis endemic to West and Central Africa that has recently generated increased interest and concern on a global scale as an emerging infectious disease threat in the midst of the slowly relenting COVID-2019 disease pandemic. The hallmark of infection is the development of a flu-like prodrome followed by the appearance of a smallpox-like exanthem. Precipitous person-to-person transmission of the virus among residents of 100 countries where it is nonendemic has motivated the immediate and widespread implementation of public health countermeasures. In this review, we discuss the origins and virology of monkeypox virus, its link with smallpox eradication, its record of causing outbreaks of human disease in regions where it is endemic in wildlife, its association with outbreaks in areas where it is nonendemic, the clinical manifestations of disease, laboratory diagnostic methods, case management, public health interventions, and future directions.
    MeSH term(s) Humans ; Monkeypox virus ; Mpox (monkeypox)/diagnosis ; Mpox (monkeypox)/epidemiology ; Smallpox ; COVID-19/epidemiology ; Africa, Central/epidemiology
    Language English
    Publishing date 2022-11-14
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 645015-5
    ISSN 1098-6618 ; 0893-8512
    ISSN (online) 1098-6618
    ISSN 0893-8512
    DOI 10.1128/cmr.00092-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Causal discovery for the microbiome.

    Corander, Jukka / Hanage, William P / Pensar, Johan

    The Lancet. Microbe

    2022  Volume 3, Issue 11, Page(s) e881–e887

    Abstract: Measurement and manipulation of the microbiome is generally considered to have great potential for understanding the causes of complex diseases in humans, developing new therapies, and finding preventive measures. Many studies have found significant ... ...

    Abstract Measurement and manipulation of the microbiome is generally considered to have great potential for understanding the causes of complex diseases in humans, developing new therapies, and finding preventive measures. Many studies have found significant associations between the microbiome and various diseases; however, Koch's classical postulates remind us about the importance of causative reasoning when considering the relationship between microbes and a disease manifestation. Although causal discovery in observational microbiome data faces many challenges, methodological advances in causal structure learning have improved the potential of data-driven prediction of causal effects in large-scale biological systems. In this Personal View, we show the capability of existing methods for inferring causal effects from metagenomic data, and we highlight ways in which the introduction of causal structures that are more flexible than existing structures offers new opportunities for causal reasoning. Our observations suggest that microbiome research can further benefit from tools developed in the past 5 years in causal discovery and learn from their applications elsewhere.
    MeSH term(s) Humans ; Microbiota ; Metagenomics/methods ; Causality ; Metagenome
    Language English
    Publishing date 2022-09-21
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ISSN 2666-5247
    ISSN (online) 2666-5247
    DOI 10.1016/S2666-5247(22)00186-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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