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  1. Article ; Online: Lest we forget, all models are flawed but useful: the example of the COVID-19 pandemic.

    Sooknanan, J / Seemungal, T A R

    Public health

    2024  Volume 230, Page(s) e3–e4

    MeSH term(s) Humans ; COVID-19/epidemiology ; Pandemics
    Language English
    Publishing date 2024-03-21
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 427333-3
    ISSN 1476-5616 ; 0033-3506
    ISSN (online) 1476-5616
    ISSN 0033-3506
    DOI 10.1016/j.puhe.2024.02.019
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  2. Article ; Online: FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models.

    Sooknanan, Joanna / Seemungal, Terence A R

    International journal of dynamics and control

    2022  Volume 11, Issue 2, Page(s) 892–899

    Abstract: Mathematical models played in a major role in guiding policy decisions during the COVID-19 pandemic. These models while focusing on the spread and containment of the disease, largely ignored the impact of media on the disease transmission. Media plays a ... ...

    Abstract Mathematical models played in a major role in guiding policy decisions during the COVID-19 pandemic. These models while focusing on the spread and containment of the disease, largely ignored the impact of media on the disease transmission. Media plays a major role in shaping opinions, attitudes and perspectives and as the number of people online increases, online media are fast becoming a major source for news and health related information and advice. Consequently, they may influence behavior and in due course disease dynamics. Unlike traditional media, online media are themselves driven and influenced by their users and thus have unique features. The main techniques used to incorporate online media mathematically into compartmental models, with particular reference to the ongoing COVID-19 pandemic are reviewed. In doing so, features specific to online media that have yet to be fully integrated into compartmental models such as misinformation, different time scales with regards to disease transmission and information, time delays, information super spreaders, the predatory nature of online media and other factors are identified together with recommendations for their incorporation.
    Language English
    Publishing date 2022-07-13
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2714518-9
    ISSN 2195-2698 ; 2195-268X
    ISSN (online) 2195-2698
    ISSN 2195-268X
    DOI 10.1007/s40435-022-00994-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities.

    Sooknanan, Joanna / Mays, Nicholas

    Bulletin of mathematical biology

    2021  Volume 83, Issue 5, Page(s) 57

    Abstract: As COVID-19 spreads throughout the world without a straightforward treatment or widespread vaccine coverage in the near future, mathematical models of disease spread and of the potential impact of mitigation measures have been thrust into the limelight. ... ...

    Abstract As COVID-19 spreads throughout the world without a straightforward treatment or widespread vaccine coverage in the near future, mathematical models of disease spread and of the potential impact of mitigation measures have been thrust into the limelight. With their popularity and ability to disseminate information relatively freely and rapidly, information from social media platforms offers a user-generated, spontaneous insight into users' minds that may capture beliefs, opinions, attitudes, intentions and behaviour towards outbreaks of infectious disease not obtainable elsewhere. The interactive, immersive nature of social media may reveal emergent behaviour that does not occur in engagement with traditional mass media or conventional surveys. In recognition of the dramatic shift to life online during the COVID-19 pandemic to mitigate disease spread and the increasing threat of further pandemics, we examine the challenges and opportunities inherent in the use of social media data in infectious disease modelling with particular focus on their inclusion in compartmental models.
    MeSH term(s) Attitude to Health ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19/psychology ; Epidemiological Monitoring ; Health Behavior ; Health Belief Model ; Humans ; Internet/statistics & numerical data ; Mathematical Concepts ; Pandemics/prevention & control ; SARS-CoV-2 ; Social Media/statistics & numerical data
    Language English
    Publishing date 2021-04-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 184905-0
    ISSN 1522-9602 ; 0007-4985 ; 0092-8240
    ISSN (online) 1522-9602
    ISSN 0007-4985 ; 0092-8240
    DOI 10.1007/s11538-021-00895-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A public health approach to reducing violence within the CARICOM region.

    Maharaj, Sandeep / Seepersad, Randy / Sooknanan, Joanna / Anderson, Simon / Franco, Darleen / Ramdass, Amrica / Seemungal, Terence

    Frontiers in public health

    2024  Volume 12, Page(s) 1344387

    Abstract: Widespread crime has become a worldwide problem so much so that violence is now ranked fourth globally in its contribution to disability-adjusted life years in the 10 to 24 age group. Homicides, a surrogate marker of violent crime, have shown an upward ... ...

    Abstract Widespread crime has become a worldwide problem so much so that violence is now ranked fourth globally in its contribution to disability-adjusted life years in the 10 to 24 age group. Homicides, a surrogate marker of violent crime, have shown an upward trend in almost all of the CARICOM countries, and homicide rates over the past 3 years have consistently increased, though the pattern of violence varies by country. This background has informed the need for greater emphasis on the need for a different approach to dealing with crime in the CARICOM region. The CARICOM governments recently hosted a symposium on crime and violence as a public health issue. The public health approach to crime has been used with measurable success in different parts of the world and, more recently in Trinidad, one of the CARICOM countries. The paper outlines the outcomes of the symposium and discusses its implications for the region.
    MeSH term(s) Public Health ; Violence/prevention & control ; Homicide/prevention & control ; Government
    Language English
    Publishing date 2024-02-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2024.1344387
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics.

    Sooknanan, J / Comissiong, D M G

    Bulletin of mathematical biology

    2020  Volume 82, Issue 7, Page(s) 86

    Abstract: Social media plays an important role in alerting and educating the public during disease outbreaks. By increasing awareness of the disease and its prevention, it can lead to a modification of behaviour which then affects contact/incidence rates. Social ... ...

    Abstract Social media plays an important role in alerting and educating the public during disease outbreaks. By increasing awareness of the disease and its prevention, it can lead to a modification of behaviour which then affects contact/incidence rates. Social media data may also be used when formulating, developing and parameterising models. As mobile technology continues to evolve and proliferate, social media is expected to occupy an increasingly prominent role in the field of infectious disease modelling to improve their predictive power. This article presents a review of existing models incorporating media in general and highlights opportunities for social media to enhance traditional compartmental models so as to make the best use of this resource in controlling the spread of disease.
    MeSH term(s) Communicable Disease Control ; Communicable Diseases/epidemiology ; Communicable Diseases/psychology ; Disease Outbreaks/prevention & control ; Health Behavior ; Health Education ; Health Risk Behaviors ; Humans ; Incidence ; Mathematical Concepts ; Models, Biological ; Models, Psychological ; Public Health ; Social Media
    Keywords covid19
    Language English
    Publishing date 2020-07-02
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 184905-0
    ISSN 1522-9602 ; 0007-4985 ; 0092-8240
    ISSN (online) 1522-9602
    ISSN 0007-4985 ; 0092-8240
    DOI 10.1007/s11538-020-00757-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  6. Article ; Online: Not so elementary - the reasoning behind a medical diagnosis.

    Sooknanan, Joanna / Seemungal, Terence

    MedEdPublish (2016)

    2019  Volume 8, Page(s) 234

    Abstract: This article was migrated. The article was marked as recommended. Making a diagnosis is a complex process involving incomplete yet dynamic information. At no other time in the history of medicine has information been so readily available and accessible ... ...

    Abstract This article was migrated. The article was marked as recommended. Making a diagnosis is a complex process involving incomplete yet dynamic information. At no other time in the history of medicine has information been so readily available and accessible resulting in a greater need for clarity of thinking. A clear understanding of the underlying reasoning processes involved is necessary so as to avoid misdiagnosis and to avoid unnecessary often costly and time-consuming tests. This article explores the main reasoning processes inherent in the making of a diagnosis - deduction, induction and abduction.
    Language English
    Publishing date 2019-12-17
    Publishing country Scotland
    Document type Journal Article
    ISSN 2312-7996
    ISSN (online) 2312-7996
    DOI 10.15694/mep.2019.000234.1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics

    Sooknanan, J / Comissiong, D M G

    Bull Math Biol

    Abstract: Social media plays an important role in alerting and educating the public during disease outbreaks. By increasing awareness of the disease and its prevention, it can lead to a modification of behaviour which then affects contact/incidence rates. Social ... ...

    Abstract Social media plays an important role in alerting and educating the public during disease outbreaks. By increasing awareness of the disease and its prevention, it can lead to a modification of behaviour which then affects contact/incidence rates. Social media data may also be used when formulating, developing and parameterising models. As mobile technology continues to evolve and proliferate, social media is expected to occupy an increasingly prominent role in the field of infectious disease modelling to improve their predictive power. This article presents a review of existing models incorporating media in general and highlights opportunities for social media to enhance traditional compartmental models so as to make the best use of this resource in controlling the spread of disease.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #621492
    Database COVID19

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  8. Article: A mathematical model for the treatment of delinquent behaviour

    Sooknanan, J / Comissiong, D. M. G

    Socio-economic planning sciences : the international journal of public sector decision-making Vol. 63 , p. 60-69

    2018  Volume 63, Page(s) 60–69

    Author's details J. Sooknanan, D.M.G. Comissiong
    Keywords Juvenile delinquency ; Infectious disease model ; Compartmental model ; Bifurcation analysis
    Language English
    Publisher Elsevier
    Publishing place Amsterdam [u.a.]
    Document type Article
    ZDB-ID 208905-1
    ISSN 0038-0121
    Database ECONomics Information System

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  9. Article ; Online: Left Atrial Appendage Closure: What Do We Know?

    Babapoor-Farrokhran, Savalan / Alzubi, Jafar / Port, Zachary / Kaul, Risheek / Rasekhi, Roozbeh Tarighati / Farrokhran, Ali Babapour / Sooknanan, Naveen / Wiener, Philip C / Khraisha, Ola / Frishman, William H / Mainigi, Sumeet K / Aronow, Wilbert S

    Cardiology in review

    2023  

    Abstract: Atrial fibrillation (AF) is the most common arrhythmia in the United States and the most common cause of embolic cerebrovascular events, with the majority of these thrombi originating in the left atrial appendage. The left atrial appendage (LAA) has ... ...

    Abstract Atrial fibrillation (AF) is the most common arrhythmia in the United States and the most common cause of embolic cerebrovascular events, with the majority of these thrombi originating in the left atrial appendage. The left atrial appendage (LAA) has separate developmental, ultrastructural, and physiological characteristics from the left atrium. Although LAA anatomy is highly variable, it can be categorized into 4 types: cactus, cauliflower, chicken wing, and windsock. The cauliflower type is associated with higher stroke risk in patients with nonvalvular AF. Although the cornerstone of therapy to prevent embolic strokes from AF has been anticoagulation with thrombin inhibitors, a large group of patients are unable to tolerate anticoagulation due to bleeding. This has led to the development and advancement of multiple surgical and percutaneous LAA closure devices to prevent embolic cerebrovascular accidents without the need for anticoagulation. In this article, we discuss the outcomes of major studies that utilized surgical LAA occlusion and its effectiveness. Furthermore, we summarize nonsurgical methods of LAA closure and future directions regarding LAA closure.
    Language English
    Publishing date 2023-08-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1294965-6
    ISSN 1538-4683 ; 1061-5377
    ISSN (online) 1538-4683
    ISSN 1061-5377
    DOI 10.1097/CRD.0000000000000601
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  10. Article: A modified predator-prey model for the interaction of police and gangs.

    Sooknanan, J / Bhatt, B / Comissiong, D M G

    Royal Society open science

    2016  Volume 3, Issue 9, Page(s) 160083

    Abstract: A modified predator-prey model with transmissible disease in both the predator and prey species is proposed and analysed, with infected prey being more vulnerable to predation and infected predators hunting at a reduced rate. Here, the predators are the ... ...

    Abstract A modified predator-prey model with transmissible disease in both the predator and prey species is proposed and analysed, with infected prey being more vulnerable to predation and infected predators hunting at a reduced rate. Here, the predators are the police and the prey the gang members. In this system, we examine whether police control of gangs is possible. The system is analysed with the help of stability analyses and numerical simulations. The system has five steady states-four of which involve no core gang members and one in which all the populations coexist. Thresholds are identified which determine when the predator and prey populations survive and when the disease remains endemic. For parameter values where the spread of disease among the police officers is greater than the death of the police officers, the diseased predator population survives, when it would otherwise become extinct.
    Language English
    Publishing date 2016-09-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2787755-3
    ISSN 2054-5703
    ISSN 2054-5703
    DOI 10.1098/rsos.160083
    Database MEDical Literature Analysis and Retrieval System OnLINE

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