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  1. Mohd Jamil N, Rosli N, Muhammad N
    J Public Health Res, 2021 Sep 24;11(1).
    PMID: 34558879 DOI: 10.4081/jphr.2021.2130
    BACKGROUND: This research aimed to model the outbreak of COVID-19 in Malaysia and develop a GUI-based model.

    DESIGN AND METHODS: The model is an improvement of the susceptible, infected, recovery, and death (SIRD) compartmental model.  The epidemiological parameters of the infection, recovery, and death rates were formulated as time dependent piecewise functions by incorporating the control measures of lockdown, social distancing, quarantine, lockdown lifting time and the percentage of people who abide by the rules. An improved SIRD model was solved via the 4th order Runge-Kutta (RK4) method and 14 unknown parameters were estimated by using Nelder-Mead algorithm and pattern-search technique. The publicly available data for COVID-19 outbreak in Malaysia was used to validate the performance of the model. The GUI-based SIRD model was developed to simulate the number of active cases of COVID-19 over time by considering movement control order (MCO) lifted date and the percentage of people who abide the rules.

    RESULTS: The simulator showed that the improved SIRD model adequately fitted Malaysia COVID-19 data indicated by low values of root mean square error (RMSE) as compared to other existing models. The higher the percentage of people following the SOP, the lower the spread of disease. Another key point is that the later the lifting time after the lockdown, the lower the spread of disease.

    CONCLUSIONS: These findings highlight the importance of the society to obey the intervention measures in preventing the spread of the COVID-19 disease.

  2. Ngah NF, Muhamad NA, Mohamed SO, Abdul Aziz RA, Ma'amor NH, Ahmad Tarmidzi NA, et al.
    Int J Ophthalmol, 2023;16(5):712-720.
    PMID: 37206185 DOI: 10.18240/ijo.2023.05.07
    AIM: To derive a Malaysia guideline and consensus as part of the Malaysia Retina Group's efforts for diagnosis, treatment, and best practices of diabetic macular edema (DME). The experts' panel suggests that the treatment algorithm to be divided into groups according to involvement the central macula. The purpose of DME therapy is to improve edema and achieve the best visual results with the least amount of treatment load.

    METHODS: On two different occasions, a panel of 14 retinal specialists from Malaysia, together with an external expert, responded to a questionnaire on management of DME. A consensus was sought by voting after compiling, analyzing and discussion on first-phase replies on the round table discussion. A recommendation was deemed to have attained consensus when 12 out of the 14 panellists (85%) agreed with it.

    RESULTS: The terms target response, adequate response, nonresponse, and inadequate response were developed when the DME patients' treatment responses were first characterized. The panelists reached agreement on a number of DME treatment-related issues, including the need to classify patients prior to treatment, first-line treatment options, the right time to switch between treatment modalities, and side effects associated with steroids. From this agreement, recommendations were derived and a treatment algorithm was created.

    CONCLUSION: A detail and comprehensive treatment algorithm by Malaysia Retina Group for the Malaysian population provides guidance for treatment allocation of patients with DME.

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