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  1. Article ; Online: Special Issue - Pacific Eclipse.

    MacIntyre, Chandini Raina

    Vaccine

    2022  Volume 40, Issue 17, Page(s) 2473

    Language English
    Publishing date 2022-03-11
    Publishing country Netherlands
    Document type Editorial
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2022.03.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Use of a risk assessment tool to determine the origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

    Chen, Xin / Kalyar, Fatema / Chughtai, Abrar Ahmad / MacIntyre, Chandini Raina

    Risk analysis : an official publication of the Society for Risk Analysis

    2024  

    Abstract: The origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is contentious. Most studies have focused on a zoonotic origin, but definitive evidence such as an intermediary animal host is lacking. We used an established risk analysis tool ... ...

    Abstract The origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is contentious. Most studies have focused on a zoonotic origin, but definitive evidence such as an intermediary animal host is lacking. We used an established risk analysis tool for differentiating natural and unnatural epidemics, the modified Grunow-Finke assessment tool (mGFT) to study the origin of SARS-COV-2. The mGFT scores 11 criteria to provide a likelihood of natural or unnatural origin. Using published literature and publicly available sources of information, we applied the mGFT to the origin of SARS-CoV-2. The mGFT scored 41/60 points (68%), with high inter-rater reliability (100%), indicating a greater likelihood of an unnatural than natural origin of SARS-CoV-2. This risk assessment cannot prove the origin of SARS-CoV-2 but shows that the possibility of a laboratory origin cannot be easily dismissed.
    Language English
    Publishing date 2024-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 778660-8
    ISSN 1539-6924 ; 0272-4332
    ISSN (online) 1539-6924
    ISSN 0272-4332
    DOI 10.1111/risa.14291
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Influenza Vaccine: Routine Secondary Prevention for Patients With Cardiovascular Disease?

    MacIntyre, Chandini Raina

    Annals of internal medicine

    2020  Volume 173, Issue 8, Page(s) 660–661

    MeSH term(s) Adult ; Cardiovascular Diseases/prevention & control ; Cross-Sectional Studies ; Humans ; Influenza Vaccines ; Influenza, Human/prevention & control ; Secondary Prevention ; Vaccination
    Chemical Substances Influenza Vaccines
    Language English
    Publishing date 2020-08-25
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 336-0
    ISSN 1539-3704 ; 0003-4819
    ISSN (online) 1539-3704
    ISSN 0003-4819
    DOI 10.7326/M20-5810
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Case isolation, contact tracing, and physical distancing are pillars of COVID-19 pandemic control, not optional choices.

    MacIntyre, Chandini Raina

    The Lancet. Infectious diseases

    2020  Volume 20, Issue 10, Page(s) 1105–1106

    MeSH term(s) Betacoronavirus ; COVID-19 ; Contact Tracing ; Coronavirus Infections/epidemiology ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2 ; Severe Acute Respiratory Syndrome
    Keywords covid19
    Language English
    Publishing date 2020-06-16
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(20)30512-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The Impact of Universal Mask Use on SARS-COV-2 in Victoria, Australia on the Epidemic Trajectory of COVID-19.

    Costantino, Valentina / Raina MacIntyre, Chandini

    Frontiers in public health

    2021  Volume 9, Page(s) 625499

    Abstract: Objective(s): ...

    Abstract Objective(s):
    MeSH term(s) COVID-19 ; Communicable Disease Control ; Epidemics ; Humans ; SARS-CoV-2 ; Victoria/epidemiology
    Language English
    Publishing date 2021-04-21
    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.2021.625499
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Case isolation, contact tracing, and physical distancing are pillars of COVID-19 pandemic control, not optional choices

    MacIntyre, Chandini Raina

    The Lancet Infectious Diseases

    2020  Volume 20, Issue 10, Page(s) 1105–1106

    Keywords Infectious Diseases ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/s1473-3099(20)30512-0
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Uptake of influenza, pneumococcal and herpes zoster vaccines among people with heart failure and atrial fibrillation.

    Kpozehouen, Elizabeth Benedict / Tan, Timothy / Macintyre, Chandini Raina

    Vaccine

    2022  Volume 40, Issue 52, Page(s) 7709–7713

    Abstract: Background: Cardiovascular diseases are the major cause of hospitalisation and death globally. Infections exacerbate cardiovascular events among cardiac patients, contributing to all-cause mortality. Vaccination is a cheap and effective intervention ... ...

    Abstract Background: Cardiovascular diseases are the major cause of hospitalisation and death globally. Infections exacerbate cardiovascular events among cardiac patients, contributing to all-cause mortality. Vaccination is a cheap and effective intervention that can prevent infection. In Australia, influenza, pneumococcal and herpes zoster vaccines are recommended and funded for high-risk adults such as cardiac patients. There is high prevalence of high-risk adults in Western Sydney.
    Objectives: This study investigates the uptake of influenza, pneumococcal and herpes zoster vaccines in patients admitted with heart failure and atrial fibrillation in a tertiary hospital in Western Sydney and factors associated with the uptake of the vaccines.
    Methods: Consecutive patients' hospitalised between 2014 and 2018 with heart failure or atrial fibrillation as principal diagnoses were identified. Information on patients' social demographic, clinical and vaccination status was collected and described using descriptive analysis. Univariate and multivariate analyses were conducted to determine factors associated with the uptake of the vaccines.
    Results: Low uptake for pneumococcal (40-45 %) and herpes zoster (15 %) vaccines were found. Prevalence of influenza vaccination was lower among participants younger than 65 (51-72 %) than in older ones (78-96 %). Australia-born participants were more likely to receive pneumococcal vaccine than those born overseas (OR 2.02, 95 % CI 1.05-3.89). Participants 65 years or older and those with comorbidities such as hypertension, COPD and chronic renal impairment were more likely to receive the vaccines.
    Conclusion: Multidisciplinary strategies are needed to improve access to vaccination, community knowledge, community engagement, and healthcare provider support to provide appropriate care to migrants and younger cardiac patients and reduce morbidity and mortality in this high-risk group.
    MeSH term(s) Adult ; Humans ; Aged ; Herpes Zoster Vaccine ; Influenza, Human/epidemiology ; Influenza, Human/prevention & control ; Atrial Fibrillation/complications ; Pneumococcal Vaccines ; Influenza Vaccines ; Vaccination ; Streptococcus pneumoniae ; Herpes Zoster/epidemiology ; Herpes Zoster/prevention & control ; Heart Failure
    Chemical Substances Herpes Zoster Vaccine ; Pneumococcal Vaccines ; Influenza Vaccines
    Language English
    Publishing date 2022-11-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2022.10.090
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Modeling on the Effects of Deliberate Release of Aerosolized Inhalational

    Costantino, Valentina / Bahl, Prateek / Doolan, Con / de Silva, Charitha / Heslop, David / Chen, Xin / Lim, Samsung / MacIntyre, Chandini Raina

    Health security

    2023  Volume 21, Issue 1, Page(s) 61–69

    Abstract: This study aimed to determine optimal mitigation strategies in the event of an aerosolized attack ... ...

    Abstract This study aimed to determine optimal mitigation strategies in the event of an aerosolized attack with
    MeSH term(s) Humans ; Bacillus anthracis ; Anthrax/prevention & control ; Australia ; Anti-Bacterial Agents/therapeutic use ; Bioterrorism/prevention & control
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-01-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2823049-8
    ISSN 2326-5108 ; 2326-5094
    ISSN (online) 2326-5108
    ISSN 2326-5094
    DOI 10.1089/hs.2022.0100
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A machine learning-based universal outbreak risk prediction tool.

    Zhang, Tianyu / Rabhi, Fethi / Chen, Xin / Paik, Hye-Young / MacIntyre, Chandini Raina

    Computers in biology and medicine

    2023  Volume 169, Page(s) 107876

    Abstract: In order to prevent and control the increasing number of serious epidemics, the ability to predict the risk caused by emerging outbreaks is essential. However, most current risk prediction tools, except EPIRISK, are limited by being designed for ... ...

    Abstract In order to prevent and control the increasing number of serious epidemics, the ability to predict the risk caused by emerging outbreaks is essential. However, most current risk prediction tools, except EPIRISK, are limited by being designed for targeting only one specific disease and one country. Differences between countries and diseases (e.g., different economic conditions, different modes of transmission, etc.) pose challenges for building models with cross-country and cross-disease prediction capabilities. The limitation of universality affects domestic and international efforts to control and prevent pandemic outbreaks. To address this problem, we used outbreak data from 43 diseases in 206 countries to develop a universal risk prediction system that can be used across countries and diseases. This system used five machine learning models (including Neural Network XGBoost, Logistic Boost, Random Forest and Kernel SVM) to predict and vote together to make ensemble predictions. It can make predictions with around 80%-90 % accuracy from economic, cultural, social, and epidemiological factors. Three different datasets were designed to test the performance of ML models under different realistic situations. This prediction system has strong predictive ability, adaptability, and generality. It can give universal outbreak risk assessment that are not limited by border or disease type, facilitate rapid response to pandemic outbreaks, government decision-making and international cooperation.
    MeSH term(s) Disease Outbreaks ; Neural Networks, Computer ; Machine Learning ; Pandemics ; Support Vector Machine
    Language English
    Publishing date 2023-12-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.107876
    Database MEDical Literature Analysis and Retrieval System OnLINE

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