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  1. Article ; Online: Respiratory syncytial virus in Indonesian children.

    Armstrong, Gregory L

    The Pediatric infectious disease journal

    2012  Volume 31, Issue 5, Page(s) 539; author reply 539–40

    MeSH term(s) Female ; Humans ; Male ; Respiratory Syncytial Virus Infections/epidemiology ; Respiratory Tract Infections/epidemiology
    Language English
    Publishing date 2012-05
    Publishing country United States
    Document type Comment ; Letter
    ZDB-ID 392481-6
    ISSN 1532-0987 ; 0891-3668
    ISSN (online) 1532-0987
    ISSN 0891-3668
    DOI 10.1097/INF.0b013e31824e290c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Next-Generation Sequencing of Infectious Pathogens.

    Gwinn, Marta / MacCannell, Duncan / Armstrong, Gregory L

    JAMA

    2019  Volume 321, Issue 9, Page(s) 893–894

    MeSH term(s) Genomics ; High-Throughput Nucleotide Sequencing/methods ; Humans ; Sequence Analysis, DNA/methods
    Language English
    Publishing date 2019-02-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2018.21669
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The intersection of genomics and big data with public health: Opportunities for precision public health.

    Khoury, Muin J / Armstrong, Gregory L / Bunnell, Rebecca E / Cyril, Juliana / Iademarco, Michael F

    PLoS medicine

    2020  Volume 17, Issue 10, Page(s) e1003373

    Abstract: Muin Khoury and co-authors discuss anticipated contributions of genomics and other forms of large-scale data in public health. ...

    Abstract Muin Khoury and co-authors discuss anticipated contributions of genomics and other forms of large-scale data in public health.
    MeSH term(s) Big Data/supply & distribution ; Genomics/methods ; Humans ; Precision Medicine/methods ; Public Health/methods
    Keywords covid19
    Language English
    Publishing date 2020-10-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2185925-5
    ISSN 1549-1676 ; 1549-1277
    ISSN (online) 1549-1676
    ISSN 1549-1277
    DOI 10.1371/journal.pmed.1003373
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Injection drug users in the United States, 1979-2002: an aging population.

    Armstrong, Gregory L

    Archives of internal medicine

    2007  Volume 167, Issue 2, Page(s) 166–173

    Abstract: Background: Injection drug use (IDU) is important in the epidemiology of blood-borne pathogens. Herein, trends in IDU from 1979 to 2002 are analyzed.: Methods: The National Household Survey on Drug Abuse is an ongoing survey of drug use among the US ... ...

    Abstract Background: Injection drug use (IDU) is important in the epidemiology of blood-borne pathogens. Herein, trends in IDU from 1979 to 2002 are analyzed.
    Methods: The National Household Survey on Drug Abuse is an ongoing survey of drug use among the US population 12 years and older. Participants were chosen using a multistage sampling design and interviewed by written questionnaire (1979-1998) or audio computer-assisted self-interviewing (1999-2002). Herein, we examine the prevalence of a history of IDU at any time in the past (IDU-ever) or within the past year.
    Results: In the 2000-2002 surveys, 1.5% (95% confidence interval [CI], 1.4%-1.6%) reported IDU-ever (weighted estimate, 3.4 million persons). Prevalence was highest in persons aged 35 to 49 years (3.1%; 95% CI, 2.8%-3.4%), was higher in men (2.0%; 95% CI, 1.8%-2.2%) than women (1.0%; 95% CI, 0.9%-1.1%), and was higher in whites (1.7%; 95% CI, 1.5%-1.8%) than blacks (0.8%; 95% CI, 0.7%-1.1%) or Hispanics (1.1%; 95% CI, 0.8%-1.4%). Prevalence decreased with increasing annual income and educational level. Of all participants, 0.19% (95% CI, 0.16%-0.23%) reported IDU within the past year (weighted estimate, 440 000 persons). Ten years earlier (1990-1992), 1.6% (95% CI, 1.5%-1.8%) reported IDU-ever; prevalence did not differ by race. From 1979 through 2002, the mean age of participants with IDU within the past year increased from 21 to 36 years; the age of participants with IDU-ever increased from 26 to 42 years. From 2000 to 2002, 59.4% of all persons with IDU-ever were aged 35 to 49 years.
    Conclusions: The mean age of injection drug users has increased substantially. Persons born between the late 1940s and early 1960s have the highest prevalence of IDU-ever. Self-reported IDU rates are now lower among young blacks than young whites.
    MeSH term(s) Adolescent ; Adult ; African Americans/statistics & numerical data ; Age Distribution ; Aged ; Central Nervous System Stimulants ; Child ; Cocaine ; European Continental Ancestry Group/statistics & numerical data ; Female ; Health Surveys ; Heroin ; Hispanic Americans/statistics & numerical data ; Humans ; Logistic Models ; Longitudinal Studies ; Male ; Middle Aged ; Multivariate Analysis ; Prevalence ; Sex Distribution ; Socioeconomic Factors ; Substance Abuse, Intravenous/epidemiology ; Substance Abuse, Intravenous/ethnology ; Surveys and Questionnaires ; United States/epidemiology
    Chemical Substances Central Nervous System Stimulants ; Heroin (70D95007SX) ; Cocaine (I5Y540LHVR)
    Language English
    Publishing date 2007-01-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 211575-x
    ISSN 1538-3679 ; 0003-9926 ; 0888-2479 ; 0730-188X
    ISSN (online) 1538-3679
    ISSN 0003-9926 ; 0888-2479 ; 0730-188X
    DOI 10.1001/archinte.167.2.166
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: The intersection of genomics and big data with public health: Opportunities for precision public health

    Khoury, Muin J / Armstrong, Gregory L / Bunnell, Rebecca E / Cyril, Juliana / Iademarco, Michael F

    PLoS Med

    Abstract: Muin Khoury and co-authors discuss anticipated contributions of genomics and other forms of large-scale data in public health. ...

    Abstract Muin Khoury and co-authors discuss anticipated contributions of genomics and other forms of large-scale data in public health.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #922698
    Database COVID19

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  6. Article: Commentary: Modelling the epidemiology of hepatitis C and its complications.

    Armstrong, Gregory L

    International journal of epidemiology

    2003  Volume 32, Issue 5, Page(s) 725–726

    MeSH term(s) Hepatitis C, Chronic/complications ; Hepatitis C, Chronic/epidemiology ; Humans ; Incidence ; Models, Statistical ; Substance Abuse, Intravenous/complications
    Language English
    Publishing date 2003-07-11
    Publishing country England
    Document type Comment ; Journal Article
    ZDB-ID 187909-1
    ISSN 1464-3685 ; 0300-5771
    ISSN (online) 1464-3685
    ISSN 0300-5771
    DOI 10.1093/ije/dyg266
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Pathogen Genomics in Public Health.

    Armstrong, Gregory L / MacCannell, Duncan R / Taylor, Jill / Carleton, Heather A / Neuhaus, Elizabeth B / Bradbury, Richard S / Posey, James E / Gwinn, Marta

    The New England journal of medicine

    2019  Volume 381, Issue 26, Page(s) 2569–2580

    Abstract: Rapid advances in DNA sequencing technology ("next-generation sequencing") have inspired optimism about the potential of human genomics for "precision medicine." Meanwhile, pathogen genomics is already delivering "precision public health" through more ... ...

    Abstract Rapid advances in DNA sequencing technology ("next-generation sequencing") have inspired optimism about the potential of human genomics for "precision medicine." Meanwhile, pathogen genomics is already delivering "precision public health" through more effective investigations of outbreaks of foodborne illnesses, better-targeted tuberculosis control, and more timely and granular influenza surveillance to inform the selection of vaccine strains. In this article, we describe how public health agencies have been adopting pathogen genomics to improve their effectiveness in almost all domains of infectious disease. This momentum is likely to continue, given the ongoing development in sequencing and sequencing-related technologies.
    MeSH term(s) Animals ; Bacteria/genetics ; Disease Outbreaks ; Foodborne Diseases/diagnosis ; Foodborne Diseases/epidemiology ; Foodborne Diseases/microbiology ; Foodborne Diseases/parasitology ; Genomics ; High-Throughput Nucleotide Sequencing ; Humans ; Influenza, Human/diagnosis ; Influenza, Human/epidemiology ; Influenza, Human/microbiology ; Metagenomics ; Parasites/genetics ; Public Health ; Tuberculosis/diagnosis ; Tuberculosis/epidemiology ; Viruses/genetics
    Keywords covid19
    Language English
    Publishing date 2019-12-25
    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/NEJMsr1813907
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Emergence of SARS-CoV-2 B.1.1.7 Lineage - United States, December 29, 2020-January 12, 2021.

    Galloway, Summer E / Paul, Prabasaj / MacCannell, Duncan R / Johansson, Michael A / Brooks, John T / MacNeil, Adam / Slayton, Rachel B / Tong, Suxiang / Silk, Benjamin J / Armstrong, Gregory L / Biggerstaff, Matthew / Dugan, Vivien G

    MMWR. Morbidity and mortality weekly report

    2021  Volume 70, Issue 3, Page(s) 95–99

    Abstract: On December 14, 2020, the United Kingdom reported a SARS-CoV-2 variant of concern (VOC), lineage B.1.1.7, also referred to as VOC 202012/01 or 20I/501Y.V1.* The B.1.1.7 variant is estimated to have emerged in September 2020 and has quickly become the ... ...

    Abstract On December 14, 2020, the United Kingdom reported a SARS-CoV-2 variant of concern (VOC), lineage B.1.1.7, also referred to as VOC 202012/01 or 20I/501Y.V1.* The B.1.1.7 variant is estimated to have emerged in September 2020 and has quickly become the dominant circulating SARS-CoV-2 variant in England (1). B.1.1.7 has been detected in over 30 countries, including the United States. As of January 13, 2021, approximately 76 cases of B.1.1.7 have been detected in 12 U.S. states.
    MeSH term(s) COVID-19/epidemiology ; COVID-19/transmission ; COVID-19/virology ; Genome, Viral ; Humans ; Mutation ; SARS-CoV-2/genetics ; United States/epidemiology
    Language English
    Publishing date 2021-01-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 412775-4
    ISSN 1545-861X ; 0149-2195
    ISSN (online) 1545-861X
    ISSN 0149-2195
    DOI 10.15585/mmwr.mm7003e2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Timely assessment of the severity of the 2009 H1N1 influenza pandemic.

    Armstrong, Gregory L / Brammer, Lynnette / Finelli, Lyn

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2011  Volume 52 Suppl 1, Page(s) S83–9

    Abstract: During the 2009 influenza pandemic, weekly mortality data were analyzed to estimate excess mortality above a seasonally adjusted baseline modeled from prior years' data. Between the 1962-1963 and 2008-2009 seasons, among persons ≥ 25 years old, excess ... ...

    Abstract During the 2009 influenza pandemic, weekly mortality data were analyzed to estimate excess mortality above a seasonally adjusted baseline modeled from prior years' data. Between the 1962-1963 and 2008-2009 seasons, among persons ≥ 25 years old, excess mortality had been substantially higher during influenza A(H3N2)-dominant years than during A(H1N1)-dominant years. Among persons ≥ 15 years of age, excess mortality was higher in the 1968-1969 influenza pandemic season than during any other season. During the 2009-2010 pandemic, among all age groups <65 years old, excess mortality increased earlier than during any of the previous 47 seasons, eventually exceeding mortality in any prior non-pandemic season. In the ≥ 65-year-old age group, excess mortality remained relatively low, at rates typical of seasonal influenza A(H1N1) seasons. The model provided a timely assessment of severity during the 2009-2010 influenza pandemic, showing that, compared with prior seasons, mortality was relatively high among persons <65 years old and relatively low among those ≥ 65 years old.
    MeSH term(s) Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Female ; Humans ; Infant ; Infant, Newborn ; Influenza A Virus, H1N1 Subtype/isolation & purification ; Influenza, Human/epidemiology ; Influenza, Human/mortality ; Influenza, Human/virology ; Male ; Middle Aged ; Pandemics ; Survival Analysis ; United States/epidemiology ; Young Adult
    Language English
    Publishing date 2011-01-01
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciq013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Human Metapneumovirus Circulation in the United States, 2008 to 2014.

    Haynes, Amber K / Fowlkes, Ashley L / Schneider, Eileen / Mutuc, Jeffry D / Armstrong, Gregory L / Gerber, Susan I

    Pediatrics

    2016  Volume 137, Issue 5

    Abstract: Background: Human metapneumovirus (HMPV) infection causes respiratory illness, including bronchiolitis and pneumonia. However, national HMPV seasonality, as it compares with respiratory syncytial virus (RSV) and influenza seasonality patterns, has not ... ...

    Abstract Background: Human metapneumovirus (HMPV) infection causes respiratory illness, including bronchiolitis and pneumonia. However, national HMPV seasonality, as it compares with respiratory syncytial virus (RSV) and influenza seasonality patterns, has not been well described.
    Methods: Hospital and clinical laboratories reported weekly aggregates of specimens tested and positive detections for HMPV, RSV, and influenza to the National Respiratory and Enteric Virus Surveillance System from 2008 to 2014. A season was defined as consecutive weeks with ≥3% positivity for HMPV and ≥10% positivity for RSV and influenza during a surveillance year (June through July). For each virus, the season, onset, offset, duration, peak, and 6-season medians were calculated.
    Results: Among consistently reporting laboratories, 33 583 (3.6%) specimens were positive for HMPV, 281 581 (15.3%) for RSV, and 401 342 (18.2%) for influenza. Annually, 6 distinct HMPV seasons occurred from 2008 to 2014, with onsets ranging from November to February and offsets from April to July. Based on the 6-season medians, RSV, influenza, and HMPV onsets occurred sequentially and season durations were similar at 21 to 22 weeks. HMPV demonstrated a unique biennial pattern of early and late seasonal onsets. RSV seasons (onset, offset, peak) were most consistent and occurred before HMPV seasons. There were no consistent patterns between HMPV and influenza circulations.
    Conclusions: HMPV circulation begins in winter and lasts until spring and demonstrates distinct seasons each year, with the onset beginning after that of RSV. HMPV, RSV, and influenza can circulate simultaneously during the respiratory season.
    MeSH term(s) Humans ; Influenza A Virus, H1N1 Subtype/isolation & purification ; Influenza, Human/epidemiology ; Metapneumovirus/isolation & purification ; Paramyxoviridae Infections/epidemiology ; Polymerase Chain Reaction ; Population Surveillance ; Respiratory Syncytial Virus Infections/epidemiology ; Respiratory Syncytial Viruses/isolation & purification ; Seasons ; United States/epidemiology
    Language English
    Publishing date 2016-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 207677-9
    ISSN 1098-4275 ; 0031-4005
    ISSN (online) 1098-4275
    ISSN 0031-4005
    DOI 10.1542/peds.2015-2927
    Database MEDical Literature Analysis and Retrieval System OnLINE

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