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  1. Artikel ; Online: Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities.

    Saidan, Motasem N / Shbool, Mohammad A / Arabeyyat, Omar Suleiman / Al-Shihabi, Sameh T / Abdallat, Yousef Al / Barghash, Mahmoud A / Saidan, Hakam

    International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

    2020  Band 98, Seite(n) 321–327

    Abstract: Background: The reproduction number (R: Objectives: In this study, we estimated the probable outbreak size of COVID-19 clusters mathematically using a simple model that can predict the number of COVID-19 cases as a function of time.: Methods: We ... ...

    Abstract Background: The reproduction number (R
    Objectives: In this study, we estimated the probable outbreak size of COVID-19 clusters mathematically using a simple model that can predict the number of COVID-19 cases as a function of time.
    Methods: We proposed a mathematical model to estimate the R
    Results: The highest R
    Conclusions: This study provides predictive COVID-19 transmission patterns in different cluster types based on different R
    Mesh-Begriff(e) Betacoronavirus/physiology ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Coronavirus Infections/virology ; Humans ; Models, Theoretical ; Pandemics/prevention & control ; Physical Distancing ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Pneumonia, Viral/virology ; SARS-CoV-2
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-07-04
    Erscheinungsland Canada
    Dokumenttyp Journal Article
    ZDB-ID 1331197-9
    ISSN 1878-3511 ; 1201-9712
    ISSN (online) 1878-3511
    ISSN 1201-9712
    DOI 10.1016/j.ijid.2020.06.105
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities

    Saidan, Motasem N. / Shbool, Mohammad A. / Arabeyyat, Omar Suleiman / Al-Shihabi, Sameh T. / Abdallat, Yousef Al / Barghash, Mahmoud A. / Saidan, Hakam

    International Journal of Infectious Diseases

    2020  Band 98, Seite(n) 321–327

    Schlagwörter Microbiology (medical) ; Infectious Diseases ; General Medicine ; covid19
    Sprache Englisch
    Verlag Elsevier BV
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ZDB-ID 1331197-9
    ISSN 1878-3511 ; 1201-9712
    ISSN (online) 1878-3511
    ISSN 1201-9712
    DOI 10.1016/j.ijid.2020.06.105
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

    Zusatzmaterialien

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 4516: Hefte anzeigen Standort:
    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)

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

  3. Artikel: Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities

    Saidan, Motasem N / Shbool, Mohammad A / Arabeyyat, Omar Suleiman / Al-Shihabi, Sameh T / Abdallat, Yousef Al / Barghash, Mahmoud A / Saidan, Hakam

    Int J Infect Dis

    Abstract: BACKGROUND: The reproduction number (R0) is vital in epidemiology to estimate the number of infected people and trace close contacts. R0 values vary depending on social activity and type of gathering events that induce infection transmissibility and its ... ...

    Abstract BACKGROUND: The reproduction number (R0) is vital in epidemiology to estimate the number of infected people and trace close contacts. R0 values vary depending on social activity and type of gathering events that induce infection transmissibility and its pathophysiology dependence. OBJECTIVES: In this study, we estimated the probable outbreak size of COVID-19 clusters mathematically using a simple model that can predict the number of COVID-19 cases as a function of time. METHODS: We proposed a mathematical model to estimate the R0 of COVID-19 in an outbreak occurring in both local and international clusters in light of published data. Different types of clusters (religious, wedding, and industrial activity) were selected based on reported events in different countries between February and April 2020. RESULTS: The highest R0 values were found in wedding party events (5), followed by religious gathering events (2.5), while the lowest value was found in the industrial cluster (2). In return, this will enable us to assess the trend of coronavirus spread by comparing the model results and observed patterns. CONCLUSIONS: This study provides predictive COVID-19 transmission patterns in different cluster types based on different R0 values. This model offers a contact-tracing task with the predicted number of cases, to decision-makers; this would help them in epidemiological investigations by knowing when to stop.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #633900
    Datenquelle COVID19

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  4. Artikel ; Online: Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities

    Saidan, Motasem N. / Shbool, Mohammad A. / Suleiman Arabeyyat, Omar / Al-Shihabi, Sameh T / Abdallat, Yousef Al / Barghash, Mahmoud A. / Saidan, Hakam

    reponame:Expeditio Repositorio Institucional UJTL ; instname:Universidad de Bogotá Jorge Tadeo Lozano

    2020  

    Abstract: Background: The reproduction number (R0) is vital in epidemiology to estimate the number infected people and trace the close contacts. The R0 values varies depending on social activity and type of gathering events that induce infection transmissibility, ... ...

    Abstract Background: The reproduction number (R0) is vital in epidemiology to estimate the number infected people and trace the close contacts. The R0 values varies depending on social activity and type of gathering events that induce infection transmissibility, in addition to its pathophysiology dependence. Objectives: In this study, we estimated the probable outbreak size of COVID-19 at clusters mathematically using a simple model that can predict the number of COVID-19 cases, as a function of time. Methods: We proposed mathematical model to estimate the R0 of COVID-19 in the outbreak occurring in both of local and international clusters in light of published data. Different types of clusters (religious, wedding, and industrial activity) were selected based on reported events in different countries between February and April 2020. Results: The highest R0 values were found in wedding party events (5), followed by religious gathering events (2.5), while the lowest value was found in the industrial cluster (2). This in return, shall enable us to assess the trend coronavirus spread by comparing the model results and observed patterns. Conclusions: This study provides a predictive COVID-19 transmission patterns in different clusters types based on different R0 values. This model offers the decision makers in the contact-tracing task the predicted number of cases, which would help them in epidemiology investigations by knowing when to stop.
    Schlagwörter Coronavirus ; COVID-19 ; Pandemic ; Mathematical model ; Reproductive number ; Síndrome respiratorio agudo grave ; SARS-CoV-2 ; covid19
    Verlag Science Direct
    Erscheinungsland co
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

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