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.
METHOD: A cross-sectional study at government preschools in Kota Setar District was conducted from February to April 2020. Selection of preschools and students was done using multistage simple randomisation. A self-administered questionnaire containing demographic and digital device use details was filled by parents.
RESULTS: The prevalence of digital device use among preschool children was 95.9% and mostly used smartphones (94.2%). Most children (95%) did not own the device, and usage was under supervision (95.7%). The reason for supervision was to prevent exposure to inappropriate content (70.5%). The common reasons for allowing digital device use were for educational (37.4%) and entertainment purposes (36%) through videos (30.9%) and games (30.2%). Approximately 21.5% and 50.3% of the children spent more than 1 and 2 hours on digital devices during weekdays and weekends, respectively.
CONCLUSION: The prevalence of digital device use among the preschool children in Kota Setar District was very high. Most of them used digital devices for educational and entertainment purposes under parental supervision. However, some exceeded the recommended screen time on weekends. These findings could promote awareness of digital device use among young children and help design public health awareness programmes and future policies.
METHODS: A cross-sectional study was conducted among 128 caregivers of children with ASD in Kota Bharu, Kelantan from May to August 2020, using convenience sampling. Validated questionnaires were used to assess the knowledge and attitudes toward children with ASD. The data were analyzed using SPSS version 24. Descriptive statistics and simple and multiple logistic regression analyses were then performed.
RESULTS: The response rate was 100%. The proportion of good knowledge and attitudes toward children with ASD among caregivers was 85.1% and 88.3%, respectively. Factors significantly associated with good knowledge were being female (OR (95% CI) 2.79 [0.99-7.90]) and ASD children being non-first-born children (OR (95% CI) 0.41 [0.15-1.12]). Factors significantly associated with good attitudes were age of 30 years and older (OR (95% CI) 0.13 [0.03-0.62]) and caregiver having other children with other types of learning difficulties (OR (95% CI) 0.15 [0.04, 0.52]).
CONCLUSIONS: The proportion of caregivers with good knowledge of ASD and good attitudes toward children with ASD was high. The caregiver's age and sex, the position of the ASD child among the siblings, and the presence of other types of learning disorders in the family need to be considered when managing children with ASD.
METHODS: This randomized controlled trial was conducted to observe the effect of WAAP on asthma control and quality of life using the Asthma Control Questionnaire and Pediatric Asthma Quality of Life Questionnaire (PAQLQ) at baseline and after 3 months. A repeated measure analysis of variance was used to analyze the mean score difference between the two groups.
RESULTS: There was no significant difference in mean score for asthma control at baseline between groups (F[degree of freedom (df)]=1.17 [1, 119], P=0.282). However, at 3 months, a significant difference in mean scores between groups was observed (F[df]=7.32 [1, 119], P=0.008). The mean±standard deviation (SD) scores in the intervention and control groups were 0.96±0.53 and 1.21±0.49, respectively. For the analysis of the PAQLQ, no significant difference was observed in the mean score for the quality of life baseline in both groups. There were significant mean score changes for the quality of life (F[df]=10.9 [1, 119], P=0.001) at 3 months follow-up, where those in the intervention group scored a mean±SD score of 6.19±0.45, and those in the control group scored 5.94±0.38. A time-group interaction analysis using repeated-measures analysis of variance showed significant differences in mean score changes (F[df]=5.03 [1, 116], P=0.027) and (F[df]=11.55 [1, 116], P=0.001) where a lower mean score was observed in the intervention group, indicating better asthma control and quality of life, respectively. A significant (P<0.001) negative Pearson correlation between asthma control and quality of life (-0.65) indicated a moderate correlation.
CONCLUSION: WAAP, along with standard asthma treatment, improves asthma care.