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1.
Ig Sanita Pubbl ; 80(5): 110-117, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-38112038

RESUMO

Throughout the current COVID-19 pandemic, preventing nosocomial COVID-19 outbreaks has been a significant challenge for hospitals. It is essential to understand the ways in which SARS-CoV-2 spreads in healthcare settings to apply proper infection prevention and control (IPC) measures. The objectives of this study are to report on the hospital's response to a COVID-19 cluster and the transmission dynamics in a hospital ward of Geriatrics, Rehabilitation and Long term care. The study will focus specifically on how insufficient air replacement and directional airflow in indoor settings may have contributed to the transmission of the virus.


Assuntos
COVID-19 , Infecção Hospitalar , Humanos , SARS-CoV-2 , Infecção Hospitalar/epidemiologia , Infecção Hospitalar/prevenção & controle , Incidência , Pandemias , Aerossóis e Gotículas Respiratórios , Surtos de Doenças , Hospitais
2.
Int J Obes (Lond) ; 46(10): 1786-1791, 2022 10.
Artigo em Inglês | MEDLINE | ID: mdl-35817850

RESUMO

BACKGROUND: The heritability of traits such as body mass index (BMI), a measure of obesity, is generally estimated using family and twin studies, and increasingly by molecular genetic approaches. These studies generally assume that genetic effects are uniform across all trait values, yet there is emerging evidence that this may not always be the case. METHOD/SUBJECTS: This paper analyzes twin data using a recently developed measure of heritability called the heritability curve. Under the assumption that trait values in twin pairs are governed by a flexible Gaussian mixture distribution, heritability curves may vary across trait values. The data consist of repeated measures of BMI on 1506 monozygotic (MZ) and 2843 like-sexed dizygotic (DZ) adult twin pairs, gathered from multiple surveys in older Finnish Twin Cohorts. RESULTS: The heritability curve and BMI value-specific MZ and DZ pairwise correlations were estimated, and these varied across the range of BMI. MZ correlations were highest at BMI values from 21 to 24, with a stronger decrease for women than for men at higher values. Models with additive and dominance effects fit best at low and high BMI values, while models with additive genetic and common environmental effects fit best in the normal range of BMI. CONCLUSIONS: We demonstrate that twin and molecular genetic studies need to consider how genetic effects vary across trait values. Such variation may reconcile findings of traits with high heritability and major differences in mean values between countries or over time.


Assuntos
Obesidade , Gêmeos Dizigóticos , Adulto , Idoso , Índice de Massa Corporal , Estudos de Coortes , Feminino , Humanos , Masculino , Obesidade/epidemiologia , Obesidade/genética , Fenótipo , Gêmeos Dizigóticos/genética , Gêmeos Monozigóticos/genética
3.
Stat Med ; 40(6): 1357-1382, 2021 03 15.
Artigo em Inglês | MEDLINE | ID: mdl-33336424

RESUMO

Classical heritability models for family data split the phenotype variance into genetic and environmental components. For instance, the ACE model in twin studies assumes the phenotype variance decomposes as a2 + c2 + e2 , representing (additive) genetic effects, common (shared) environment, and residual environment, respectively. However, for some phenotypes it is biologically plausible that the genetic and environmental components may vary over the range of the phenotype. For instance, very large or small values of the phenotype may be caused by "sporadic" environmental factors, whereas the mid-range phenotype variation may be more under the control of common genetic factors. This article introduces a "local" measure of heritability, where the genetic and environmental components are allowed to depend on the value of the phenotype itself. Our starting point is a general formula for local correlation between two random variables. For estimation purposes, we use a multivariate Gaussian mixture, which is able to capture nonlinear dependence and respects certain distributional constraints. We derive an analytical expression for the associated correlation curve, and show how to decompose the correlation curve into genetic and environmental parts, for instance, a2 (y) + c2 (y) + e2 (y) for the ACE model, where we estimate the components as functions of the phenotype y. Furthermore, our model allows switching, for instance, from the ACE model to the ADE model within the range of the same phenotype. When applied to birth weight (BW) data on Norwegian mother-father-child trios, we conclude from the model that low and high BW are less heritable traits than medium BW. We also demonstrate switching between the ACE and ADE model when studying body mass index in adult monozygotic and dizygotic twins.


Assuntos
Meio Ambiente , Modelos Genéticos , Adulto , Peso ao Nascer , Criança , Humanos , Fenótipo , Gêmeos Dizigóticos/genética , Gêmeos Monozigóticos/genética
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