KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Access type: UnknownSubject: search.filters.subject.Infectious disease

Search Results

Now showing 1 - 2 of 2
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Assessing the impact of non-pharmaceutical interventions against COVID-19 on 64 notifiable infectious diseases in Australia: A Bayesian Structural Time Series model
    (2025-03-01)
    Haque, Shovanur
    ;
    Lambert, Stephen B.
    ;
    Mengersen, Kerrie
    ;
    Barr, Ian G.
    ;
    Wang, Liping
    Background: Several studies have examined the effect of non-pharmaceutical interventions (NPIs) on COVID-19 and other infectious diseases in Australia and globally. However, to our knowledge none have sufficiently explored their impact on other infectious diseases with robust time series model. In this study, we aimed to use Bayesian Structural Time Series model (BSTS) to systematically assess the impact of NPIs on 64 National Notifiable Infectious Diseases (NNIDs) by conducting a comprehensive and comparative analysis across eight disease categories within each Australian state and territory, as well as nationally. Methods: Monthly data on 64 NNIDs from eight categories were obtained from the Australian National Notifiable Disease Surveillance System. The incidence rates for each infectious disease in 2020 were compared with the 2015–2019 average and then with the expected rates in 2020 using a BSTS model. The study investigated the causal effects of 2020 interventions and analysed the impact of government policy restrictions at the national level from January 2020 to December 2022. Results: During the COVID-19 pandemic interventions in Australia, there was a 38 % (95 % Credible Interval [CI] [9 %, 54 %]) overall relative reduction in incidence reported across all disease categories compared to the 2015–2019 average. Significant reductions were observed in bloodborne diseases: 20 % (95 % CI [10 %, 29 %]), respiratory diseases: 79 % (95 % CI [52 %, 91 %]), and zoonoses: 8 % (95 % CI [1 %, 17 %]). Conversely, vector-borne diseases increased by 9 % over the same period. Reductions and intervention effects varied by state and territory, with higher policy stringency linked to fewer cases for some diseases. Conclusions: COVID-19 NPIs also impacted the transmission of other infectious diseases, with varying effects across regions reflecting diverse outcomes in response strategies throughout Australia. The findings could inform public health strategies and provide scientific evidence to support the development of early warning systems for future disease outbreaks.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Outbreak preparedness and response strategies in ASEAN member states: a scoping review
    (2024-09-01)
    Mphande-Nyasulu, Fingani Annie
    ;
    Yap, Nan Jiun
    ;
    Teo, Chin Hai
    ;
    Chang, Li Yen
    ;
    Tay, Sun Tee
    Objectives: The 21<sup>st</sup> century has witnessed significant disease outbreaks with severe impact in Association of Southeast Asian Nations (ASEAN) countries, including SARS, H1N1, H5N1, and COVID-19. This review aimed to compile and analyze outbreak preparedness and response strategies, highlighting the success of coordinated multi-sectoral approaches and policy responses within the ASEAN region. Methods: The protocol for this review was registered on the Open Science Framework and PROSPERO. A systematic analysis of publications from the 2002-2022 period was conducted following PRISMA guidelines on 4522 records retrieved from PubMed, CINAHL, Web of Science, and Scopus. The titles and abstracts were screened, and 229 articles were selected for full-text screening. Finally, 34 articles were included in this review. Results: Four preparedness pillars were identified: governance and stewardship, disease detection, disease prevention, and health care management. The pillars were crucial in preparing for and responding to the COVID-19 pandemic. Coordinated responses among the ASEAN countries and local and international stakeholders were reported. Conclusions: The findings emphasize that understanding the transmission dynamics of infectious diseases is paramount for effective disease prevention, surveillance, and timely response efforts to prevent the next pandemic. A well-coordinated multi-country and multi-agency policy response and understanding the different disease management models are crucial in addressing future outbreaks in the region. Future post-pandemic publications will shed more light on lessons learned and preparedness and response plans for future pandemics.