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  1. Artikel ; Online: Relationship between COVID-19 cases and vaccination rates in New York State counties.

    Cerio, Halle / Schad, Laura / Morley, Christopher

    Annals of family medicine

    2022  , Heft 20 Suppl 1

    Abstract: Context: The presence of new viral variants, in combination with the relaxation of social distancing and other preventative measures, has led to a spike in COVID-19 cases in the United States. The development of COVID-19 vaccinations may reduce the ... ...

    Abstract Context: The presence of new viral variants, in combination with the relaxation of social distancing and other preventative measures, has led to a spike in COVID-19 cases in the United States. The development of COVID-19 vaccinations may reduce the impact of these viral variants on case rates in the population. Objective: To determine the impact of COVID-19 vaccination rates on cases/100k population in each New York State (NYS) county. Study Design: Cross-sectional analysis of COVID-19 cases/100k population per NYS county, frozen at a single snapshot in time. Descriptive statistics and bivariate correlations were conducted to determine vaccination rates across 62 NYS counties, and linear regression was used to examine the effect of vaccination rates on cases/100k, controlling for size of county population. Dataset & Setting: Vaccination rates per county shared by the NYS Department of Health using data reported to the NYS Immunization Information System and the New York City Citywide Immunization Registry. COVID-19 case rates per county available through the John Hopkins University website. Population: NYS residents across 62 counties on March 31st, 2021. Outcome Measures: COVID-19 vaccination rates across counties at a single point in time were compared with cases/100k population. Results: Percentages with 1 dose and with 2 doses are highly correlated (r=.935, p<.001) with one another, and county population size was strongly correlated with cases per 100k (r=.715, p<.001). Both the 1 dose and 2 dose rates were negatively correlated with cases per 100k population, although not significantly. However, the two-dose vaccination rate was a significant negative predictor of cases per 100k population in NYS Counties (β= -.866, p=.031), with each percentage point of completed vaccination nearly equating to one case less in the daily count, when controlling for county population size (β =2.732, p<.001). Conclusion: While COVID-19 variants may impact vaccine effectiveness, current vaccination efforts are helping forestall some cases in NYS. Widespread vaccination is still an important goal. Primary care providers, public officials, and public health scientists should continue to urgently promote and support vaccination efforts.
    Mesh-Begriff(e) Humans ; United States/epidemiology ; New York/epidemiology ; COVID-19/epidemiology ; COVID-19/prevention & control ; Cross-Sectional Studies ; COVID-19 Vaccines ; SARS-CoV-2 ; Vaccination ; New York City
    Chemische Substanzen COVID-19 Vaccines
    Sprache Englisch
    Erscheinungsdatum 2022-04-01
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2171425-3
    ISSN 1544-1717 ; 1544-1709
    ISSN (online) 1544-1717
    ISSN 1544-1709
    DOI 10.1370/afm.20.s1.3134
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Relationship Between COVID-19 Cases and Vaccination Rates in New York State Counties.

    Cerio, Halle / Schad, Laura A / Stewart, Telisa M / Morley, Christopher P

    PRiMER (Leawood, Kan.)

    2021  Band 5, Seite(n) 35

    Abstract: Introduction: Vaccines against SARS-CoV-2 have been developed with unprecedented speed. The phased introduction of vaccines may be serving to offset the impact of new viral variants and policy relaxation. In order to assess the impact of vaccination, we ...

    Abstract Introduction: Vaccines against SARS-CoV-2 have been developed with unprecedented speed. The phased introduction of vaccines may be serving to offset the impact of new viral variants and policy relaxation. In order to assess the impact of vaccination, we examined a snapshot of vaccination rates across counties in a single state, at a single time point, comparing them with population-adjusted case counts.
    Methods: We calculated descriptive statistics and bivariate correlations for vaccination rates and cases across counties in New York State (NYS). We conducted a linear regression using cases/100K population per NYS county, frozen at a single snapshot in time, as the outcome variable, predicted by percentage of each county's population (completed series/two doses), controlling for county population.
    Results: Percentages with one dose and with two doses were highly correlated (
    Conclusion: While variants may impact vaccine effectiveness, current vaccination efforts are helping forestall some cases in NYS. Widespread vaccination is still an important goal. Primary care providers, public officials, and public health scientists should continue to urgently promote and support vaccination efforts.
    Sprache Englisch
    Erscheinungsdatum 2021-09-29
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2575-7873
    ISSN (online) 2575-7873
    DOI 10.22454/PRiMER.2021.432215
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: Longitudinal Evaluation of a Deprescribing Protocol in Skilled Nursing Facilities.

    Morley, Christopher P / Schad, Laura A / Cerio, Halle / McNamara, Sarah E / Wojtowycz, Martha A / Smith, Nancy H / Noviasky, John A / Ulen, Kelly R / Townsend, Kimberly / Amidon, Joel / Brangman, Sharon A

    The Senior care pharmacist

    2022  Band 37, Heft 10, Seite(n) 523–531

    Abstract: Objective: ...

    Abstract Objective:
    Mesh-Begriff(e) Deprescriptions ; Diuretics ; Humans ; New York ; Retrospective Studies ; Skilled Nursing Facilities
    Chemische Substanzen Diuretics
    Sprache Englisch
    Erscheinungsdatum 2022-09-28
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2639-9636
    ISSN 2639-9636
    DOI 10.4140/TCP.n.2022.523
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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