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1.
Artigo em Inglês | MEDLINE | ID: mdl-38397617

RESUMO

BACKGROUND: Colorectal cancer (CRC) screening is effective in the prevention and early detection of cancer. Implementing evidence-based screening guidelines remains a challenge, especially in Federally Qualified Health Centers (FQHCs), where current rates (43%) are lower than national goals (80%), and even lower in populations with limited English proficiency (LEP) who experience increased barriers to care related to systemic inequities. METHODS: This quality improvement (QI) initiative began in 2016, focused on utilizing patient navigation and practice facilitation to addressing systemic inequities and barriers to care to increase CRC screening rates at an urban FQHC, with two clinical locations (the intervention and control sites) serving a diverse population through culturally tailored education and navigation. RESULTS: Between August 2016 and December 2018, CRC screening rates increased significantly from 31% to 59% at the intervention site (p < 0.001), with the most notable change in patients with LEP. Since 2018 through December 2022, navigation and practice facilitation expanded to all clinics, and the overall CRC screening rates continued to increase from 43% to 50%, demonstrating the effectiveness of patient navigation to address systemic inequities. CONCLUSIONS: This multilevel intervention addressed structural inequities and barriers to care by implementing evidence-based guidelines into practice, and combining patient navigation and practice facilitation to successfully increase the CRC screening rates at this FQHC.


Assuntos
Neoplasias Colorretais , Navegação de Pacientes , Humanos , Detecção Precoce de Câncer , Promoção da Saúde , Instalações de Saúde , Neoplasias Colorretais/diagnóstico , Neoplasias Colorretais/prevenção & controle , Neoplasias Colorretais/epidemiologia , Programas de Rastreamento
2.
PLoS One ; 16(5): e0240706, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33970917

RESUMO

Hibernating mammals exhibit unique metabolic and physiological phenotypes that have potential applications in medicine or spaceflight, yet our understanding of the genetic basis and molecular mechanisms of hibernation is limited. The meadow jumping mouse, a small North American hibernator, exhibits traits-including a short generation time-that would facilitate genetic approaches to hibernation research. Here we report the collection, captive breeding, and laboratory hibernation of meadow jumping mice. Captive breeders in our colony produced a statistically significant excess of male offspring and a large number of all-male and all-female litters. We confirmed that short photoperiod induced pre-hibernation fattening, and cold ambient temperature facilitated entry into hibernation. During pre-hibernation fattening, food consumption exhibited non-linear dependence on both body mass and temperature, such that food consumption was greatest in the heaviest animals at the coldest temperatures. Meadow jumping mice exhibited a strong circadian rhythm of nightly activity that was disrupted during the hibernation interval. We conclude that it is possible to study hibernation phenotypes using captive-bred meadow jumping mice in a laboratory setting.


Assuntos
Hibernação/fisiologia , Locomoção/fisiologia , Animais , Cruzamento , Ritmo Circadiano/fisiologia , Comportamento Alimentar , Feminino , Masculino , Camundongos , Fenótipo , Fotoperíodo , Especificidade da Espécie , Temperatura , Aumento de Peso/fisiologia
3.
PLoS One ; 16(4): e0250110, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33852642

RESUMO

BACKGROUND: Prediction of the dynamics of new SARS-CoV-2 infections during the current COVID-19 pandemic is critical for public health planning of efficient health care allocation and monitoring the effects of policy interventions. We describe a new approach that forecasts the number of incident cases in the near future given past occurrences using only a small number of assumptions. METHODS: Our approach to forecasting future COVID-19 cases involves 1) modeling the observed incidence cases using a Poisson distribution for the daily incidence number, and a gamma distribution for the series interval; 2) estimating the effective reproduction number assuming its value stays constant during a short time interval; and 3) drawing future incidence cases from their posterior distributions, assuming that the current transmission rate will stay the same, or change by a certain degree. RESULTS: We apply our method to predicting the number of new COVID-19 cases in a single state in the U.S. and for a subset of counties within the state to demonstrate the utility of this method at varying scales of prediction. Our method produces reasonably accurate results when the effective reproduction number is distributed similarly in the future as in the past. Large deviations from the predicted results can imply that a change in policy or some other factors have occurred that have dramatically altered the disease transmission over time. CONCLUSION: We presented a modelling approach that we believe can be easily adopted by others, and immediately useful for local or state planning.


Assuntos
COVID-19/epidemiologia , Número Básico de Reprodução , COVID-19/transmissão , Transmissão de Doença Infecciosa/prevenção & controle , Transmissão de Doença Infecciosa/estatística & dados numéricos , Previsões , Humanos , Incidência , Modelos Estatísticos , Pandemias , Saúde Pública , SARS-CoV-2/isolamento & purificação , Estados Unidos/epidemiologia
4.
Methods Mol Biol ; 1385: 55-67, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26614281

RESUMO

Current systems of recombinant protein production include bacterial, insect, and mammalian cell culture. However, these platforms are expensive to build and operate at commercial scales and/or have limited abilities to produce complex proteins. In recent years, plant-based expression systems have become top candidates for the production of recombinant proteins as they are highly scalable, robust, safe, and can produce complex proteins due to having a eukaryotic endomembrane system. Newly developed "deconstructed" viral vectors delivered via Agrobacterium tumefaciens (agroinfiltration) have enabled robust plant-based production of proteins with a wide range of applications. The leafy Lactuca sativa (lettuce) plant with its strong foundation in agriculture is an excellent host for pharmaceutical protein production. Here, we describe a method for agroinfiltration of lettuce that can rapidly produce high levels of recombinant proteins in a matter of days and has the potential to be scaled up to an agricultural level.


Assuntos
Agrobacterium tumefaciens/genética , Engenharia Genética/métodos , Vetores Genéticos , Lactuca/genética , Proteínas Recombinantes , Transformação Genética , Expressão Gênica , Lactuca/metabolismo , Plantas Geneticamente Modificadas
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