Institution
Ohio Department of Health
Government•Columbus, Ohio, United States•
About: Ohio Department of Health is a government organization based out in Columbus, Ohio, United States. It is known for research contribution in the topics: Population & Outbreak. The organization has 308 authors who have published 354 publications receiving 14493 citations.
Topics: Population, Outbreak, Public health, Health care, Intensive care unit
Papers published on a yearly basis
Papers
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Centers for Disease Control and Prevention1, National Institutes of Health2, University of Cambridge3, Erasmus University Rotterdam4, Naval Medical Center San Diego5, Arizona State University6, Colorado Department of Public Health and Environment7, Oklahoma State Department of Health8, Wadsworth Center9, Ohio Department of Health10, South Carolina Department of Health and Environmental Control11, Dallas County12, Baylor College of Medicine13, San Diego State University14, Centra15, California Health and Human Services Agency16, Marshfield Clinic17, Michigan Department of Community Health18
TL;DR: The lack of similarity between the 2009 A(H1N1) virus and its nearest relatives indicates that its gene segments have been circulating undetected for an extended period as mentioned in this paper.
Abstract: Since its identification in April 2009, an A(H1N1) virus containing a unique combination of gene segments from both North American and Eurasian swine lineages has continued to circulate in humans. The lack of similarity between the 2009 A(H1N1) virus and its nearest relatives indicates that its gene segments have been circulating undetected for an extended period. Its low genetic diversity suggests that the introduction into humans was a single event or multiple events of similar viruses. Molecular markers predictive of adaptation to humans are not currently present in 2009 A(H1N1) viruses, suggesting that previously unrecognized molecular determinants could be responsible for the transmission among humans. Antigenically the viruses are homogeneous and similar to North American swine A(H1N1) viruses but distinct from seasonal human A(H1N1).
2,393 citations
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Centers for Disease Control and Prevention1, United States Department of Health and Human Services2, Colorado Department of Public Health and Environment3, Yale University4, Veterans Health Administration5, Emory University6, Alabama Department of Public Health7, Maryland Department of Health8, New Mexico Department of Health9, New York State Department of Health10, University of Rochester11, Ohio Department of Health12, Vanderbilt University13, Lake County14
TL;DR: It is suggested that older adults have elevated rates of COVID-19-associated hospitalization and the majority of persons hospitalized with CO VID-19 have underlying medical conditions, which underscore the importance of preventive measures to protect older adults and persons with underlyingmedical conditions, as well as the general public.
Abstract: Since SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in December 2019 (1), approximately 1.3 million cases have been reported worldwide (2), including approximately 330,000 in the United States (3). To conduct population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations in the United States, the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) was created using the existing infrastructure of the Influenza Hospitalization Surveillance Network (FluSurv-NET) (4) and the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET). This report presents age-stratified COVID-19-associated hospitalization rates for patients admitted during March 1-28, 2020, and clinical data on patients admitted during March 1-30, 2020, the first month of U.S. surveillance. Among 1,482 patients hospitalized with COVID-19, 74.5% were aged ≥50 years, and 54.4% were male. The hospitalization rate among patients identified through COVID-NET during this 4-week period was 4.6 per 100,000 population. Rates were highest (13.8) among adults aged ≥65 years. Among 178 (12%) adult patients with data on underlying conditions as of March 30, 2020, 89.3% had one or more underlying conditions; the most common were hypertension (49.7%), obesity (48.3%), chronic lung disease (34.6%), diabetes mellitus (28.3%), and cardiovascular disease (27.8%). These findings suggest that older adults have elevated rates of COVID-19-associated hospitalization and the majority of persons hospitalized with COVID-19 have underlying medical conditions. These findings underscore the importance of preventive measures (e.g., social distancing, respiratory hygiene, and wearing face coverings in public settings where social distancing measures are difficult to maintain)† to protect older adults and persons with underlying medical conditions, as well as the general public. In addition, older adults and persons with serious underlying medical conditions should avoid contact with persons who are ill and immediately contact their health care provider(s) if they have symptoms consistent with COVID-19 (https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html) (5). Ongoing monitoring of hospitalization rates, clinical characteristics, and outcomes of hospitalized patients will be important to better understand the evolving epidemiology of COVID-19 in the United States and the clinical spectrum of disease, and to help guide planning and prioritization of health care system resources.
2,016 citations
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TL;DR: A 2‐tier system using the dried blood spot to first assess CK with follow‐up DMD gene testing is introduced to assess CK in Duchenne muscular dystrophy.
Abstract: Objective: Creatine kinase (CK) levels are increased on dried blood spots in newborns related to the birthing process. As a marker for newborn screening, CK in Duchenne muscular dystrophy (DMD) results in false-positive testing. In this report, we introduce a 2-tier system using the dried blood spot to first assess CK with follow-up DMD gene testing. Methods: A fluorometric assay based upon the enzymatic transphosphorylation of adenosine diphosphate to adenosine triphosphate was used to measure CK activity. Preliminary studies established a population-based range of CK in newborns using 30,547 deidentified anonymous dried blood spot samples. Mutation analysis used genomic DNA extracted from the dried blood spot followed by whole genome amplification with assessment of single-/multiexon deletions/duplications in the DMD gene using multiplex ligation-dependent probe amplification. Results: DMD gene mutations (all exonic deletions) were found in 6 of 37,649 newborn male subjects, all of whom had CK levels >2,000U/l. In 3 newborns with CK >2,000U/l in whom DMD gene abnormalities were not found, we identified limb-girdle muscular dystrophy gene mutations affecting DYSF, SGCB, and FKRP. Interpretation: A 2-tier system of analysis for newborn screening for DMD has been established. This path for newborn screening fits our health care system, minimizes false-positive testing, and uses predetermined levels of CK on dried blood spots to predict DMD gene mutations. ANN NEUROL 2012;71:304–313
626 citations
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TL;DR: In this paper, a broad profile of antimicrobial residues in animal wastes and surface water and groundwater proximal to large-scale swine and poultry operations was obtained using both radioimmunoassay and liquid chromatography/electrospray ionization-mass spectrometry (LC/ESI-MS) techniques.
467 citations
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United States Public Health Service1, Centers for Disease Control and Prevention2, Scientific Atlanta3, Emory University4, Veterans Health Administration5, Anschutz Medical Campus6, University of Rochester7, Ohio Department of Health8, Lake County9, New York State Department of Health10, University of California, Berkeley11, Vanderbilt University12, Oregon Health Authority13, New Mexico Department of Health14, Yale University15, Oak Ridge Institute for Science and Education16
TL;DR: Aggressive implementation of prevention strategies, including social distancing and rigorous hand hygiene, may benefit the population as a whole, as well as those at highest risk for COVID-19-related complications.
Abstract: Author(s): Kim, Lindsay; Garg, Shikha; O'Halloran, Alissa; Whitaker, Michael; Pham, Huong; Anderson, Evan J; Armistead, Isaac; Bennett, Nancy M; Billing, Laurie; Como-Sabetti, Kathryn; Hill, Mary; Kim, Sue; Monroe, Maya L; Muse, Alison; Reingold, Arthur L; Schaffner, William; Sutton, Melissa; Talbot, H Keipp; Torres, Salina M; Yousey-Hindes, Kimberly; Holstein, Rachel; Cummings, Charisse; Brammer, Lynnette; Hall, Aron J; Fry, Alicia M; Langley, Gayle E | Abstract: BackgroundCurrently, the United States has the largest number of reported coronavirus disease 2019 (COVID-19) cases and deaths globally. Using a geographically diverse surveillance network, we describe risk factors for severe outcomes among adults hospitalized with COVID-19.MethodsWe analyzed data from 2491 adults hospitalized with laboratory-confirmed COVID-19 between 1 March-2 May 2020, as identified through the Coronavirus Disease 2019-Associated Hospitalization Surveillance Network, which comprises 154 acute-care hospitals in 74 counties in 13 states. We used multivariable analyses to assess associations between age, sex, race and ethnicity, and underlying conditions with intensive care unit (ICU) admission and in-hospital mortality.ResultsThe data show that 92% of patients had ≥1 underlying condition; 32% required ICU admission; 19% required invasive mechanical ventilation; and 17% died. Independent factors associated with ICU admission included ages 50-64, 65-74, 75-84, and ≥85 years versus 18-39 years (adjusted risk ratios [aRRs], 1.53, 1.65, 1.84, and 1.43, respectively); male sex (aRR, 1.34); obesity (aRR, 1.31); immunosuppression (aRR, 1.29); and diabetes (aRR, 1.13). Independent factors associated with in-hospital mortality included ages 50-64, 65-74, 75-84, and ≥ 85 years versus 18-39 years (aRRs, 3.11, 5.77, 7.67, and 10.98, respectively); male sex (aRR, 1.30); immunosuppression (aRR, 1.39); renal disease (aRR, 1.33); chronic lung disease (aRR 1.31); cardiovascular disease (aRR, 1.28); neurologic disorders (aRR, 1.25); and diabetes (aRR, 1.19).ConclusionsIn-hospital mortality increased markedly with increasing age. Aggressive implementation of prevention strategies, including social distancing and rigorous hand hygiene, may benefit the population as a whole, as well as those at highest risk for COVID-19-related complications.
447 citations
Authors
Showing all 310 results
Name | H-index | Papers | Citations |
---|---|---|---|
Arthur Reingold | 93 | 327 | 37653 |
Shelley M. Zansky | 43 | 90 | 7099 |
Lee Friedman | 41 | 106 | 6860 |
Peter F. Buckley | 38 | 145 | 7124 |
Jennifer Bogner | 38 | 118 | 5403 |
Reena Oza-Frank | 21 | 75 | 1774 |
Luis F. Ramirez | 21 | 34 | 2224 |
Tammy L. Bannerman | 20 | 25 | 5709 |
Rod Moore | 17 | 34 | 1437 |
John D. Paulson | 17 | 32 | 786 |
Mary DiOrio | 16 | 22 | 1091 |
Edmond A. Hooker | 16 | 58 | 668 |
Ellen Salehi | 15 | 22 | 1648 |
Paul F. Granello | 14 | 32 | 530 |
Laurie M Billing | 14 | 29 | 2407 |