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  1. Article ; Online: A microfluidic platform for high-purity cell free DNA extraction from plasma for non-invasive prenatal testing.

    Schneider, Lindsay / Usherwood, Thomas / Tripathi, Anubhav

    Prenatal diagnosis

    2022  Volume 42, Issue 2, Page(s) 240–253

    Abstract: Objectives: Increase the yield and purity of cell-free DNA (cfDNA) extracted from plasma for non-invasive prenatal testing (NIPT) as inefficiencies in this extraction and purification can dramatically affect the sensitivity and specificity of the test.!# ...

    Abstract Objectives: Increase the yield and purity of cell-free DNA (cfDNA) extracted from plasma for non-invasive prenatal testing (NIPT) as inefficiencies in this extraction and purification can dramatically affect the sensitivity and specificity of the test.
    Methods: This work integrates cfDNA extraction from plasma with a microfluidic chip platform by combining magnetic bead-based extraction and electroosmotic flow on the microfluidic chip. Various wash buffers and voltage conditions were simulated using COMSOL Multiphysics Modeling and tested experimentally.
    Results: When performing the first wash step of this assay on the microfluidic chip with 300 V applied across the channel there was a six-fold increase in the A
    Conclusions: This technique has the potential to improve NIPT outcomes and other clinically relevant workflows that use cfDNA as an analyte such as cancer detection.
    MeSH term(s) Biomarkers/blood ; Cell-Free Nucleic Acids/blood ; Cell-Free Nucleic Acids/isolation & purification ; Female ; Humans ; Magnets ; Microfluidics/instrumentation ; Microfluidics/methods ; Noninvasive Prenatal Testing/instrumentation ; Noninvasive Prenatal Testing/methods ; Pregnancy
    Chemical Substances Biomarkers ; Cell-Free Nucleic Acids
    Language English
    Publishing date 2022-01-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 82031-3
    ISSN 1097-0223 ; 0197-3851
    ISSN (online) 1097-0223
    ISSN 0197-3851
    DOI 10.1002/pd.6092
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1625: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: A COVID-19 model incorporating variants, vaccination, waning immunity, and population behavior.

    LaJoie, Zachary / Usherwood, Thomas / Sampath, Shailen / Srivastava, Vikas

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 20377

    Abstract: Vaccines for COVID-19 have allowed countries to combat the spread of the disease. However, new variants have resulted in significant spikes in cases and raised severe health and economic concerns. We present a COVID-19 model to predict coupled effects of ...

    Abstract Vaccines for COVID-19 have allowed countries to combat the spread of the disease. However, new variants have resulted in significant spikes in cases and raised severe health and economic concerns. We present a COVID-19 model to predict coupled effects of vaccine multiple-dose roll-out strategies, vaccine efficacy, waning immunity, population level of caution, sense of safety, under-reporting of cases, and highly prevalent variants such as the Delta (B.1.617.2) and Omicron (B.1.1.529). The modeling framework can incorporate new variants as they emerge to give critical insights into the new cases and guide public policy decision-making concerning vaccine roll-outs and reopening strategies. The model is shown to recreate the history of COVID-19 for five countries (Germany, India, Japan, South Africa, and the United States). Parameters for crucial aspects of the pandemic, such as population behavior, new variants, vaccination, and waning immunity, can be adjusted to predict pandemic scenarios. The model was used to conduct trend analysis to simulate pandemic dynamics taking into account the societal level of caution, societal sense of safety, and the proportions of individuals vaccinated with first, second, and booster doses. We used the results of serological testing studies to estimate the actual number of cases across countries. The model allows quantification of otherwise hard to quantify aspects such as the infectious power of variants and the effectiveness of government mandates and population behavior. Some example cases are presented by investigating the competitive nature of COVID variants and the effect of different vaccine distribution strategies between immunity groups.
    MeSH term(s) Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19 Vaccines ; SARS-CoV-2 ; Vaccination/methods
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-11-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-24967-z
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  3. Article ; Online: A model and predictions for COVID-19 considering population behavior and vaccination.

    Usherwood, Thomas / LaJoie, Zachary / Srivastava, Vikas

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 12051

    Abstract: The effect of vaccination coupled with the behavioral response of the population is not well understood. Our model incorporates two important dynamically varying population behaviors: level of caution and sense of safety. Level of caution increases with ... ...

    Abstract The effect of vaccination coupled with the behavioral response of the population is not well understood. Our model incorporates two important dynamically varying population behaviors: level of caution and sense of safety. Level of caution increases with infectious cases, while an increasing sense of safety with increased vaccination lowers precautions. Our model accurately reproduces the complete time history of COVID-19 infections for various regions of the United States. We propose a parameter [Formula: see text] as a direct measure of a population's caution against an infectious disease that can be obtained from the infectious cases. The model provides quantitative measures of highest disease transmission rate, effective transmission rate, and cautionary behavior. We predict future COVID-19 trends in the United States accounting for vaccine rollout and behavior. Although a high rate of vaccination is critical to quickly ending the pandemic, a return towards pre-pandemic social behavior due to increased sense of safety during vaccine deployment can cause an alarming surge in infections. Our results predict that at the current rate of vaccination, the new infection cases for COVID-19 in the United States will approach zero by August 2021. This model can be used for other regions and for future epidemics and pandemics.
    MeSH term(s) COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19/transmission ; Health Behavior ; Humans ; Models, Statistical ; Vaccination/statistics & numerical data
    Language English
    Publishing date 2021-06-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-91514-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The Path Forward for COVID-19 Diagnostics.

    Usherwood, Thomas / Zhang, Lei / Tripathi, Anubhav

    Molecular diagnosis & therapy

    2020  Volume 24, Issue 6, Page(s) 637–639

    MeSH term(s) COVID-19/diagnosis ; Humans ; Molecular Diagnostic Techniques ; Sensitivity and Specificity
    Keywords covid19
    Language English
    Publishing date 2020-09-08
    Publishing country New Zealand
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2232796-4
    ISSN 1179-2000 ; 1177-1062
    ISSN (online) 1179-2000
    ISSN 1177-1062
    DOI 10.1007/s40291-020-00492-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5202: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: A COVID-19 model incorporating variants, vaccination, waning immunity, and population behavior

    Zachary LaJoie / Thomas Usherwood / Shailen Sampath / Vikas Srivastava

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Volume 11

    Abstract: Abstract Vaccines for COVID-19 have allowed countries to combat the spread of the disease. However, new variants have resulted in significant spikes in cases and raised severe health and economic concerns. We present a COVID-19 model to predict coupled ... ...

    Abstract Abstract Vaccines for COVID-19 have allowed countries to combat the spread of the disease. However, new variants have resulted in significant spikes in cases and raised severe health and economic concerns. We present a COVID-19 model to predict coupled effects of vaccine multiple-dose roll-out strategies, vaccine efficacy, waning immunity, population level of caution, sense of safety, under-reporting of cases, and highly prevalent variants such as the Delta (B.1.617.2) and Omicron (B.1.1.529). The modeling framework can incorporate new variants as they emerge to give critical insights into the new cases and guide public policy decision-making concerning vaccine roll-outs and reopening strategies. The model is shown to recreate the history of COVID-19 for five countries (Germany, India, Japan, South Africa, and the United States). Parameters for crucial aspects of the pandemic, such as population behavior, new variants, vaccination, and waning immunity, can be adjusted to predict pandemic scenarios. The model was used to conduct trend analysis to simulate pandemic dynamics taking into account the societal level of caution, societal sense of safety, and the proportions of individuals vaccinated with first, second, and booster doses. We used the results of serological testing studies to estimate the actual number of cases across countries. The model allows quantification of otherwise hard to quantify aspects such as the infectious power of variants and the effectiveness of government mandates and population behavior. Some example cases are presented by investigating the competitive nature of COVID variants and the effect of different vaccine distribution strategies between immunity groups.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  6. Article ; Online: A model and predictions for COVID-19 considering population behavior and vaccination

    Thomas Usherwood / Zachary LaJoie / Vikas Srivastava

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 11

    Abstract: Abstract The effect of vaccination coupled with the behavioral response of the population is not well understood. Our model incorporates two important dynamically varying population behaviors: level of caution and sense of safety. Level of caution ... ...

    Abstract Abstract The effect of vaccination coupled with the behavioral response of the population is not well understood. Our model incorporates two important dynamically varying population behaviors: level of caution and sense of safety. Level of caution increases with infectious cases, while an increasing sense of safety with increased vaccination lowers precautions. Our model accurately reproduces the complete time history of COVID-19 infections for various regions of the United States. We propose a parameter $$d_I$$ d I as a direct measure of a population’s caution against an infectious disease that can be obtained from the infectious cases. The model provides quantitative measures of highest disease transmission rate, effective transmission rate, and cautionary behavior. We predict future COVID-19 trends in the United States accounting for vaccine rollout and behavior. Although a high rate of vaccination is critical to quickly ending the pandemic, a return towards pre-pandemic social behavior due to increased sense of safety during vaccine deployment can cause an alarming surge in infections. Our results predict that at the current rate of vaccination, the new infection cases for COVID-19 in the United States will approach zero by August 2021. This model can be used for other regions and for future epidemics and pandemics.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  7. Book ; Online: Modeling and prediction of COVID-19 in the United States considering population behavior and vaccination

    Usherwood, Thomas / LaJoie, Zachary / Srivastava, Vikas

    2021  

    Abstract: COVID-19 has devastated the entire global community. Vaccines present an opportunity to mitigate the pandemic; however, the effect of vaccination coupled with the behavioral response of the population is not well understood. We propose a model that ... ...

    Abstract COVID-19 has devastated the entire global community. Vaccines present an opportunity to mitigate the pandemic; however, the effect of vaccination coupled with the behavioral response of the population is not well understood. We propose a model that incorporates two important dynamically varying population behaviors: level of caution and sense of safety. Level of caution increases with the number of infectious cases, while an increasing sense of safety with increased vaccination lowers precautionary behaviors. To the best of our knowledge, this is the first model that can effectively reproduce the complete time history of COVID-19 infections for various regions of the United States and provides relatable measures of dynamic changes in the population behavior and disease transmission rates. We propose a parameter d_I as a direct measure of a population's caution against an infectious disease, that can be obtained from the ongoing new infectious cases. The model provides a method for quantitative measure of critical infectious disease attributes for a population including highest disease transmission rate, effective disease transmission rate, and disease related precautionary behavior. We predict future COVID-19 pandemic trends in the United States accounting for vaccine rollout and behavioral response. Although a high rate of vaccination is critical to quickly end the pandemic, we find that a return towards pre-pandemic social behavior due to increased sense of safety during vaccine deployment, can cause an alarming surge in infections. Our results indicate that at the current rate of vaccination, the new infection cases for COVID-19 in the United States will approach zero by the end of August 2021. The model can be used for predicting future epidemic and pandemic dynamics before and during vaccination.

    Comment: 11 pages, 7 figures
    Keywords Quantitative Biology - Populations and Evolution ; Physics - Physics and Society
    Subject code 612
    Publishing date 2021-02-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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  9. Article ; Online: The Path Forward for COVID-19 Diagnostics

    Usherwood, Thomas / Zhang, Lei / Tripathi, Anubhav

    Molecular Diagnosis & Therapy ; ISSN 1177-1062 1179-2000

    2020  

    Keywords Molecular Medicine ; Genetics ; Pharmacology ; General Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    DOI 10.1007/s40291-020-00492-5
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  10. Article: Microfluidic continuous flow synthesis of functional hollow spherical silica with hierarchical sponge-like large porous shell.

    Hao, Nanjing / Nie, Yuan / Xu, Zhe / Closson, Andrew B / Usherwood, Thomas / J Zhang, John X

    Chemical engineering journal (Lausanne, Switzerland : 1996)

    2019  Volume 366, Page(s) 433–438

    Abstract: Microfluidics brings unique opportunities for engineering micro-/nanomaterials with well-controlled physicochemical properties. Herein, using a miniaturized multi-run spiral-shaped microreactor, we develop a flow synthesis strategy to continuously ... ...

    Abstract Microfluidics brings unique opportunities for engineering micro-/nanomaterials with well-controlled physicochemical properties. Herein, using a miniaturized multi-run spiral-shaped microreactor, we develop a flow synthesis strategy to continuously produce hollow spherical silica (HSS) with hierarchical sponge-like pore sizes ranging from several nanometers to over one hundred nanometers. The formation of HSS is realized by mixing two reactant flows, one containing cetyltrimethylammonium bromide (CTAB) and diluted ammonia and the other 1,3,5-trimethylbenzene (TMB) and diluted tetraethyl orthosilicate (TEOS), at a flow rate as high as 5 mL/min. The effect of the reactant concentration and the flow rate on the structural change of the resultant materials is examined. Functional small-sized nanoparticles (magnetic nanoparticle, quantum dot, and silver nanoparticle) can be separately assembled into HSS and high molecular weight protein (bovine serum albumin) can be successfully loaded into HSS and delivered into cancer cells afterward, making them promising in the fields of separation and purification, bioimaging, catalysis, and theranostics.
    Language English
    Publishing date 2019-02-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2012137-4
    ISSN 1873-3212 ; 1385-8947
    ISSN (online) 1873-3212
    ISSN 1385-8947
    DOI 10.1016/j.cej.2019.02.095
    Database MEDical Literature Analysis and Retrieval System OnLINE

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