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1.
Vaccine ; 41(9): 1541-1544, 2023 Feb 24.
Article in English | MEDLINE | ID: covidwho-2211625

ABSTRACT

Immunizations for influenza and pneumococcus are effective interventions in reducing morbidity and mortality. The objective of this study was to describe the vaccination rates in volunteers from three regions of Argentina during the COVID-19 pandemic. In 2020, 3853 adults were surveyed, 61.6 % were females, 45 % were aged between 40 and 60 and 18.6 % were > 60 years old. The commonest comorbidities were hypertension (12.9 %), dyslipidemia (8.5 %), and smokers or former smokers (9.2 %). The global influenza vaccination rate was 37.7 %, pneumococcal vaccination 24.7 %, and both 17.8 %. Multivariable regression showed that the vaccination rate increased with age and the presence of comorbidities. However, in the subgroup with indications for both vaccines, 71.7 % had the influenza vaccine, 59 % had the pneumococcal vaccine, and 28.3 % received neither. Our study suggests that influenza and pneumococcal vaccine percentages in high-risk patients in Argentina remain sub-optimal. Immunizations with proven reductions in morbimortality could have also been relegated during the COVID pandemic.


Subject(s)
COVID-19 , Influenza Vaccines , Influenza, Human , Female , Humans , Adult , Male , Influenza, Human/prevention & control , Pneumococcal Vaccines , Argentina , Pandemics , Vaccination
2.
Antimicrob Resist Infect Control ; 11(1): 9, 2022 01 17.
Article in English | MEDLINE | ID: covidwho-1629444

ABSTRACT

BACKGROUND: Factors contributing to the spread of SARS-CoV-2 outside the acute care hospital setting have been described in detail. However, data concerning risk factors for nosocomial SARS-CoV-2 infections in hospitalized patients remain scarce. To close this research gap and inform targeted measures for the prevention of nosocomial SARS-CoV-2 infections, we analyzed nosocomial SARS-CoV-2 cases in our hospital during a defined time period. METHODS: Data on nosocomial SARS-CoV-2 infections in hospitalized patients that occurred between May 2020 and January 2021 at Charité university hospital in Berlin, Germany, were retrospectively gathered. A SARS-CoV-2 infection was considered nosocomial if the patient was admitted with a negative SARS-CoV-2 reverse transcription polymerase chain reaction test and subsequently tested positive on day five or later. As the incubation period of SARS-CoV-2 can be longer than five days, we defined a subgroup of "definite" nosocomial SARS-CoV-2 cases, with a negative test on admission and a positive test after day 10, for which we conducted a matched case-control study with a one to one ratio of cases and controls. We employed a multivariable logistic regression model to identify factors significantly increasing the likelihood of nosocomial SARS-CoV-2 infections. RESULTS: A total of 170 patients with a nosocomial SARS-CoV-2 infection were identified. The majority of nosocomial SARS-CoV-2 patients (n = 157, 92%) had been treated at wards that reported an outbreak of nosocomial SARS-CoV-2 cases during their stay or up to 14 days later. For 76 patients with definite nosocomial SARS-CoV-2 infections, controls for the case-control study were matched. For this subgroup, the multivariable logistic regression analysis revealed documented contact to SARS-CoV-2 cases (odds ratio: 23.4 (95% confidence interval: 4.6-117.7)) and presence at a ward that experienced a SARS-CoV-2 outbreak (odds ratio: 15.9 (95% confidence interval: 2.5-100.8)) to be the principal risk factors for nosocomial SARS-CoV-2 infection. CONCLUSIONS: With known contact to SARS-CoV-2 cases and outbreak association revealed as the primary risk factors, our findings confirm known causes of SARS-CoV-2 infections and demonstrate that these also apply to the acute care hospital setting. This underscores the importance of rapidly identifying exposed patients and taking adequate preventive measures.


Subject(s)
COVID-19/epidemiology , Cross Infection/epidemiology , SARS-CoV-2 , Aged , Aged, 80 and over , Case-Control Studies , Female , Germany/epidemiology , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Pandemics , Retrospective Studies , Risk Factors , Tertiary Care Centers
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