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1.
Emerg Infect Dis ; 28(10): 1990-1998, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2022576

ABSTRACT

Recently emerged SARS-CoV-2 variants have greater potential than earlier variants to cause vaccine breakthrough infections. During emergence of the Delta and Omicron variants, a matched case-control analysis used a viral genomic sequence dataset linked with demographic and vaccination information from New York, USA, to examine associations between virus lineage and patient vaccination status, patient age, vaccine type, and time since vaccination. Case-patients were persons infected with the emerging virus lineage, and controls were persons infected with any other virus lineage. Infections in fully vaccinated and boosted persons were significantly associated with the Omicron lineage. Odds of infection with Omicron relative to Delta generally decreased with increasing patient age. A similar pattern was observed with vaccination status during Delta emergence but was not significant. Vaccines offered less protection against Omicron, thereby increasing the number of potential hosts for emerging variants.


Subject(s)
COVID-19 , Viral Vaccines , Antibodies, Viral , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Humans , New York/epidemiology , SARS-CoV-2/genetics
2.
Emerg Infect Dis ; 28(8): 1734-1736, 2022 08.
Article in English | MEDLINE | ID: covidwho-1902891

ABSTRACT

We estimated real-world vaccine effectiveness among skilled nursing facility healthcare personnel who were regularly tested for SARS-CoV-2 infection in California, USA, during January‒March 2021. Vaccine effectiveness for fully vaccinated healthcare personnel was 73.3% (95% CI 57.5%-83.3%). We observed high real-world vaccine effectiveness in this population.


Subject(s)
COVID-19 Vaccines , COVID-19 , COVID-19/epidemiology , COVID-19/prevention & control , Delivery of Health Care , Humans , SARS-CoV-2 , Skilled Nursing Facilities , Vaccine Efficacy
3.
Stud Health Technol Inform ; 294: 352-356, 2022 May 25.
Article in English | MEDLINE | ID: covidwho-1865421

ABSTRACT

The goal of this paper was to assess if mortality in COVID-19 positive patients is affected by a history of asthma in anamnesis. A total of 48,640 COVID-19 positive patients were included in our analysis. A propensity score matching was carried out to match each asthma patient with two patients without history of chronic respiratory diseases in one stratum. Matching was based on age, comorbidity score, and gender. Conditional logistics regression was used to compute within each strata. There were 5,557 strata in this model. We included asthma, ethnicity, race, and BMI as risk factors. The results showed that the presence of asthma in anamnesis is a statistically significant protective factor from mortality in COVID-19 positive patients.


Subject(s)
Asthma , COVID-19 , Big Data , Comorbidity , Humans , Retrospective Studies , Risk Factors
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