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  1. Article ; Online: Epidemiological models are important tools for guiding COVID-19 interventions.

    Thompson, Robin N

    BMC medicine

    2020  Volume 18, Issue 1, Page(s) 152

    Keywords covid19
    Language English
    Publishing date 2020-05-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2131669-7
    ISSN 1741-7015 ; 1741-7015
    ISSN (online) 1741-7015
    ISSN 1741-7015
    DOI 10.1186/s12916-020-01628-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Strategies for Perioperative Optimization in Upper Extremity Fracture Care.

    Zhuang, Thompson / Kamal, Robin N

    Hand clinics

    2023  Volume 39, Issue 4, Page(s) 617–625

    Abstract: Perioperative optimization in upper extremity fracture care must balance the need for timely treatment with the benefits of medical optimization. Care pathways directed at optimizing glycemic control, chronic anticoagulation, smoking history, nutrition, ... ...

    Abstract Perioperative optimization in upper extremity fracture care must balance the need for timely treatment with the benefits of medical optimization. Care pathways directed at optimizing glycemic control, chronic anticoagulation, smoking history, nutrition, and frailty can reduce surgical risk in upper extremity fracture care. The development of multidisciplinary approaches that tie risk modification with risk stratification is needed.
    MeSH term(s) Humans ; Fractures, Bone/surgery ; Preoperative Care ; Arm Injuries ; Smoking ; Upper Extremity/surgery
    Language English
    Publishing date 2023-08-12
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1315374-2
    ISSN 1558-1969 ; 0749-0712
    ISSN (online) 1558-1969
    ISSN 0749-0712
    DOI 10.1016/j.hcl.2023.05.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Novel Coronavirus Outbreak in Wuhan, China, 2020: Intense Surveillance Is Vital for Preventing Sustained Transmission in New Locations.

    Thompson, Robin N

    Journal of clinical medicine

    2020  Volume 9, Issue 2

    Abstract: The outbreak of pneumonia originating in Wuhan, China, has generated 24,500 confirmed cases, including 492 deaths, as of 5 February 2020. The virus (2019-nCoV) has spread elsewhere in China and to 24 countries, including South Korea, Thailand, Japan and ... ...

    Abstract The outbreak of pneumonia originating in Wuhan, China, has generated 24,500 confirmed cases, including 492 deaths, as of 5 February 2020. The virus (2019-nCoV) has spread elsewhere in China and to 24 countries, including South Korea, Thailand, Japan and USA. Fortunately, there has only been limited human-to-human transmission outside of China. Here, we assess the risk of sustained transmission whenever the coronavirus arrives in other countries. Data describing the times from symptom onset to hospitalisation for 47 patients infected early in the current outbreak are used to generate an estimate for the probability that an imported case is followed by sustained human-to-human transmission. Under the assumptions that the imported case is representative of the patients in China, and that the 2019-nCoV is similarly transmissible to the SARS coronavirus, the probability that an imported case is followed by sustained human-to-human transmission is 0.41 (credible interval [0.27, 0.55]). However, if the mean time from symptom onset to hospitalisation can be halved by intense surveillance, then the probability that an imported case leads to sustained transmission is only 0.012 (credible interval [0, 0.099]). This emphasises the importance of current surveillance efforts in countries around the world, to ensure that the ongoing outbreak will not become a global pandemic.
    Keywords covid19
    Language English
    Publishing date 2020-02-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm9020498
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  5. Article ; Online: Epidemiological models are important tools for guiding COVID-19 interventions

    Robin N. Thompson

    BMC Medicine, Vol 18, Iss 1, Pp 1-

    2020  Volume 4

    Keywords COVID-19 ; Novel coronavirus ; SARS-CoV-2 ; Mathematical modelling ; Compartmental models ; Forecasting ; Medicine ; R ; covid19
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Epidemiological models are important tools for guiding COVID-19 interventions

    Thompson, Robin N.

    BMC Medicine

    2020  Volume 18, Issue 1

    Keywords General Medicine ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ISSN 1741-7015
    DOI 10.1186/s12916-020-01628-4
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Novel Coronavirus Outbreak in Wuhan, China, 2020

    Robin N. Thompson

    Journal of Clinical Medicine, Vol 9, Iss 2, p

    Intense Surveillance Is Vital for Preventing Sustained Transmission in New Locations

    2020  Volume 498

    Abstract: The outbreak of pneumonia originating in Wuhan, China, has generated 24,500 confirmed cases, including 492 deaths, as of 5 February 2020. The virus (2019-nCoV) has spread elsewhere in China and to 24 countries, including South Korea, Thailand, Japan and ... ...

    Abstract The outbreak of pneumonia originating in Wuhan, China, has generated 24,500 confirmed cases, including 492 deaths, as of 5 February 2020. The virus (2019-nCoV) has spread elsewhere in China and to 24 countries, including South Korea, Thailand, Japan and USA. Fortunately, there has only been limited human-to-human transmission outside of China. Here, we assess the risk of sustained transmission whenever the coronavirus arrives in other countries. Data describing the times from symptom onset to hospitalisation for 47 patients infected early in the current outbreak are used to generate an estimate for the probability that an imported case is followed by sustained human-to-human transmission. Under the assumptions that the imported case is representative of the patients in China, and that the 2019-nCoV is similarly transmissible to the SARS coronavirus, the probability that an imported case is followed by sustained human-to-human transmission is 0.41 (credible interval [0.27, 0.55]). However, if the mean time from symptom onset to hospitalisation can be halved by intense surveillance, then the probability that an imported case leads to sustained transmission is only 0.012 (credible interval [0, 0.099]). This emphasises the importance of current surveillance efforts in countries around the world, to ensure that the ongoing outbreak will not become a global pandemic.
    Keywords 2019-ncov ; mathematical modelling ; infectious disease epidemiology ; major outbreak ; forecasting ; coronavirus ; wuhan ; sars ; Medicine ; R
    Subject code 950
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  8. Article: Are epidemic growth rates more informative than reproduction numbers?

    Parag, Kris V / Thompson, Robin N / Donnelly, Christl A

    Journal of the Royal Statistical Society. Series A, (Statistics in Society)

    2022  

    Abstract: statistics, often derived from simplified models of epidemic spread, inform public health policy in real time. The instantaneous reproduction number, ...

    Abstract statistics, often derived from simplified models of epidemic spread, inform public health policy in real time. The instantaneous reproduction number,
    Language English
    Publishing date 2022-05-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1490715-X
    ISSN 1467-985X ; 0964-1998 ; 0035-9238
    ISSN (online) 1467-985X
    ISSN 0964-1998 ; 0035-9238
    DOI 10.1111/rssa.12867
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Mathematical methods for scaling from within-host to population-scale in infectious disease systems.

    Doran, James W G / Thompson, Robin N / Yates, Christian A / Bowness, Ruth

    Epidemics

    2023  Volume 45, Page(s) 100724

    Abstract: Mathematical modellers model infectious disease dynamics at different scales. Within-host models represent the spread of pathogens inside an individual, whilst between-host models track transmission between individuals. However, pathogen dynamics at one ... ...

    Abstract Mathematical modellers model infectious disease dynamics at different scales. Within-host models represent the spread of pathogens inside an individual, whilst between-host models track transmission between individuals. However, pathogen dynamics at one scale affect those at another. This has led to the development of multiscale models that connect within-host and between-host dynamics. In this article, we systematically review the literature on multiscale infectious disease modelling according to PRISMA guidelines, dividing previously published models into five categories governing their methodological approaches (Garira (2017)), explaining their benefits and limitations. We provide a primer on developing multiscale models of infectious diseases.
    MeSH term(s) Humans ; Communicable Diseases/epidemiology ; Models, Theoretical
    Language English
    Publishing date 2023-10-30
    Publishing country Netherlands
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2467993-8
    ISSN 1878-0067 ; 1755-4365
    ISSN (online) 1878-0067
    ISSN 1755-4365
    DOI 10.1016/j.epidem.2023.100724
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Site of Service Disparities Exist for Total Joint Arthroplasty.

    Truong, Nicole M / Leversedge, Chelsea V / Zhuang, Thompson / Shapiro, Lauren M / Whittaker, Matthew / Kamal, Robin N

    Orthopedics

    2024  , Page(s) 1–6

    Abstract: Background: The rate of outpatient total joint arthroplasty procedures, including those performed at ambulatory surgical centers (ASCs) and hospital outpatient departments, is increasing. The purpose of this study was to analyze if type of insurance is ... ...

    Abstract Background: The rate of outpatient total joint arthroplasty procedures, including those performed at ambulatory surgical centers (ASCs) and hospital outpatient departments, is increasing. The purpose of this study was to analyze if type of insurance is associated with site of service (inpatient vs outpatient) for total joint arthroplasty and adverse outcomes.
    Materials and methods: We identified patients undergoing unicompartmental knee arthroplasty (UKA), total knee arthroplasty (TKA), or total hip arthroplasty (THA) using
    Results: We identified 951,568 patients for analysis; 46,703 (4.9%) patients underwent UKA, 607,221 (63.8%) underwent TKA, and 297,644 (31.3%) underwent THA. Overall, 9.6% of procedures were outpatient. Patients with Medicaid were less likely than privately insured patients to receive outpatient UKA or THA (UKA: odds ratio [OR], 0.729 [95% CI, 0.640-0.829]; THA: OR, 0.625 [95% CI, 0.557-0.702]) but more likely than patients with Medicare to receive outpatient TKA or THA (TKA: OR, 1.391 [95% CI, 1.315-1.472]; THA: OR, 1.327 [95% CI, 1.166-1.506]). Patients with Medicaid were more likely to experience complications and revision procedures.
    Conclusion: Differences in site of service and complication rates following hip and knee arthroplasty exist based on type of insurance, suggesting a disparity in care. Further exploration of drivers of this disparity is warranted and can inform interventions (eg, progressive value-based payments) to support equity in orthopedic services. [
    Language English
    Publishing date 2024-03-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 424447-3
    ISSN 1938-2367 ; 0147-7447
    ISSN (online) 1938-2367
    ISSN 0147-7447
    DOI 10.3928/01477447-20240304-01
    Database MEDical Literature Analysis and Retrieval System OnLINE

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