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  1. Article ; Online: Prediction and Severity Ratings of COVID-19 in the United States.

    Yue, Liping / Tu, Taotao / Geng, Xiuyuan

    Disaster medicine and public health preparedness

    2020  Volume 16, Issue 1, Page(s) 262–270

    Abstract: ... disease 2019 (COVID-19) spread in the United States. Prediction and severity ratings of COVID-19 are ... of severity ratings, different regions of the United States are classified into 4 categories. The result shows ... we apply the logistic and Gompertz model to evaluate possible turning points of the COVID-19 pandemic ...

    Abstract Objectives: The objectives of this study is to predict the possible trajectory of coronavirus disease 2019 (COVID-19) spread in the United States. Prediction and severity ratings of COVID-19 are essential for pandemic control and economic reopening in the United States.
    Method: In this study, we apply the logistic and Gompertz model to evaluate possible turning points of the COVID-19 pandemic in different regions. By combining uncertainty and severity factors, this study constructed an indicator to assess the severity of the coronavirus outbreak in various states.
    Results: Based on the index of severity ratings, different regions of the United States are classified into 4 categories. The result shows that it is possible to identify the first turning point in Montana and Hawaii. It is unclear when the rest of the states will reach the first peak. However, it can be inferred that 75% of regions will not reach the first peak of coronavirus before August 2, 2020.
    Conclusion: It is still essential for the majority of states to take proactive steps to fight against COVID-19 before August 2, 2020.
    MeSH term(s) COVID-19/epidemiology ; Disease Outbreaks ; Hawaii ; Humans ; Pandemics ; SARS-CoV-2 ; United States/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-09-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2020.343
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Prediction and Severity Ratings of COVID-19 in the United States

    Yue, Liping / Tu, Taotao / Geng, Xiuyuan

    Disaster Med Public Health Prep

    Abstract: ... disease 2019 (COVID-19) spread in the United States. Prediction and severity ratings of COVID-19 are ... the logistic and Gompertz model to evaluate possible turning points of the COVID-19 pandemic in different ... essential for pandemic control and economic reopening in the United States. METHOD: In this study, we apply ...

    Abstract OBJECTIVES: The objectives of this study is to predict the possible trajectory of coronavirus disease 2019 (COVID-19) spread in the United States. Prediction and severity ratings of COVID-19 are essential for pandemic control and economic reopening in the United States. METHOD: In this study, we apply the logistic and Gompertz model to evaluate possible turning points of the COVID-19 pandemic in different regions. By combining uncertainty and severity factors, this study constructed an indicator to assess the severity of the coronavirus outbreak in various states. RESULTS: Based on the index of severity ratings, different regions of the United States are classified into 4 categories. The result shows that it is possible to identify the first turning point in Montana and Hawaii. It is unclear when the rest of the states will reach the first peak. However, it can be inferred that 75% of regions will not reach the first peak of coronavirus before August 2, 2020. CONCLUSION: It is still essential for the majority of states to take proactive steps to fight against COVID-19 before August 2, 2020.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #752621
    Database COVID19

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  3. Article ; Online: Prediction and severity ratings of COVID-19 in the United States

    Yue, Liping / Tu, Taotao / Geng, Xiuyuan

    Disaster Medicine and Public Health Preparedness

    2020  , Page(s) 1–22

    Abstract: ... of coronavirus spread in the US. Prediction and severity ratings of COVID-19 are essential for pandemic control ... of the coronavirus outbreak in various states of the US. Results: Based on the index of severity ratings, different ... uncertainty and severity factors, this paper constructed an indicator to assess the severity ...

    Abstract Abstract Objective: The objective of this paper is to predict the possible trajectory of coronavirus spread in the US. Prediction and severity ratings of COVID-19 are essential for pandemic control and economic reopening in the US. Method: In this paper, we apply the Logistic and Gompertz model to evaluate possible turning points of COVID-19 pandemic in different regions of the US. By combining uncertainty and severity factors, this paper constructed an indicator to assess the severity of the coronavirus outbreak in various states of the US. Results: Based on the index of severity ratings, different regions of the US are classified into four categories. The result shows that it is possible to identify the first turning point in Montana and Hawaii. It is unclear when the rest of the states in the US will reach the first peak. However, it can be inferred that 75% of regions in the US won’t reach the first peak of coronavirus before August 2, 2020. Conclusion: It is still essential for the majority of states in the US to take proactive steps to fight against COVID-19 before August 2, 2020.
    Keywords Public Health, Environmental and Occupational Health ; covid19
    Language English
    Publisher Cambridge University Press (CUP)
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2020.343
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article ; Online: An immune-protein signature combining TRAIL, IP-10 and CRP for accurate prediction of severe COVID-19 outcome

    Samuel Mastboim, Niv / Angel, Alon / Shaham, Oded / Ilan Ber, Tahel / Navon, Roy / Simon, Einav / Rosenberg, Michal / Israeli, Yael / Hainrichson, Mary / Avni, Noa / Reiner, Eran / Feigin, Paul / Oved, Kfir / Tadmor, Boaz / Singer, Pierre / Kagan, Ilya / Lev, Shaul / Diker, Dror / Jarjoui, Amir /
    Kurd, Ramzi / Ben-Chetrit, Eli / Danziger, Guy / Papan, Cihan / Motov, Sergey / Shapira, Maanit / Stein, Michal / Klein, Adi / Gottlieb, Tanya Michelle / Eden, Eran

    medRxiv

    Abstract: ... centers in Israel, Germany, and the United States. Severe outcome was defined as intensive care unit ... potential for prognosticating disease severity. METHODS Adults with COVID-19 were recruited at medical ... RESULTS Between March and November 2020, 518 COVID-19 patients were enrolled, of whom 394 were eligible ...

    Abstract BACKGROUND Accurately identifying COVID-19 patients at-risk to deteriorate remains challenging. Tools integrating host-protein expression have proven useful in determining infection etiology and hold potential for prognosticating disease severity. METHODS Adults with COVID-19 were recruited at medical centers in Israel, Germany, and the United States. Severe outcome was defined as intensive care unit admission, non-invasive or invasive ventilation, or death. Tumor necrosis factor related apoptosis inducing ligand (TRAIL) and interferon gamma inducible protein-10 (IP-10; also known as CXCL10) and C-reactive protein (CRP) were measured using an analyzer providing values within 15 minutes. A signature indicating the likelihood of severe outcome was derived generating a score (0-100). Patients were assigned to 4 score bins. RESULTS Between March and November 2020, 518 COVID-19 patients were enrolled, of whom 394 were eligible, 29% meeting a severe outcome. The area under the receiver operating characteristic curve (AUC) of the signature was 0.86 (95% confidence interval: 0.81-0.91). Performance was not confounded by age, sex, or comorbidities and superior to IL-6 (AUC 0.77; p = 0.033) and CRP (AUC 0.78; p < 0.001). Likelihood of severe outcome increased significantly (p < 0.001) with higher scores. The signature differentiated patients who further deteriorated after meeting a severe outcome from those who improved (p = 0.004) and projected 14-day survival probabilities (p < 0.001). CONCLUSION The derived immune-protein signature combined with a rapid measurement platform is an accurate predictive tool for early detection of COVID-19 patients at-risk for severe outcome, facilitating timely care escalation and de-escalation and appropriate resource allocation. FUNDING MeMed funded the study
    Keywords covid19
    Language English
    Publishing date 2021-07-02
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.06.27.21259196
    Database COVID19

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