SLIIT International Conference on Advancements in Sciences and Humanities [SICASH] 2022

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    Impact of Health Beliefs on Covid-19 Related Preventative Health Behaviours and Coping Behaviours
    (Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Weerasinghe, W.A.S; Akuretiya, S
    Non-adherence to health regulations during the Covid-19 pandemic has been associated with health beliefs. Thus the present study studies the impact of these health beliefs on preventative health behaviours and coping behaviours. The research followed an ex-post facto survey design and convenience sampling was used to recruit a sample of 100 Sri Lankans with chronic illnesses. Data collection was carried out online using Google forms. The multiple regression analyses reveals that the Health Belief Model was a significantly useful predictor explaining 53% of the variation in preventative health behaviours. The findings reveal no significant predictive relationships between the health beliefs of perceived susceptibility, perceived severity, and perceived benefits with preventative health behaviours. Perceived barriers are found to significantly and negatively predict preventative health behaviours. Perceived selfefficacy and cues to action are found to significantly and positively predict preventative health behaviours. Educational level and marital status moderate the relationship between self-efficacy, cues to action and preventative health behaviours. In fact, selfefficacy is positively and significantly correlated with adaptive coping but not significantly correlated with maladaptive coping behaviour. Overall, the findings highlight the utility of reducing barriers, enhancing self-efficacy, and promoting health literacy through education and provision of social support, especially spousal support, to foster adherence to preventative health behaviours.
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    Modeling Weekly Covid Data in Europe and Sri Lanka: Time Series Approach
    (Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Jayakody, J. A. P. A
    Novel Corona Virus, commonly known as COVID-19 has become a global threat affecting more than 200 countries up to date. Still a vaccine that can assure of hundred percent prevention has not been discovered. All the countries are currently following WHO guidelines such as lockdowns and social distancing. This study was conducted to develop ARIMA models for COVID-19 data in Europe and Sri Lanka and validate the models. For both these regions, number of COVID-19 cases were collected considering for a period of one year in which the first real wave happened. ACF and PACF plots were used to identify the stationarity, and out of the results possible ARIMA models were developed for the two regions separately. For Europe, the best fitted model was ARIMA (0, 2, 1) and for Sri Lanka, the best fitted model was ARIMA (1,1,0). The models were evaluated using AIC criteria. The errors of the models were found to be white noise. The forecasted values that were obtained from the model showed an increase of cases in Europe and a constant flow in Sri Lanka.
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    Study on the factors that influence parental attitude and involvement in children's home learning: An exploratory study
    (Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Wijesingha, A.W.K.G.; Ranasuriya, L.H.D.L.
    Due to the sudden closure of schools during the Covid-19 pandemic, parents were required to promote home learning in order to support their children's online learning. As a result, the quality of online learning activities provided to primary school students is dependent on parental participation. Thus, this research focuses on studying the extent to which parental factors influence the management of home learning for students. The study adopted a descriptive research design and used a purposive sampling technique to select the respondents. The data was collected using a self-administered questionnaire and semistructured interviews were distributed among the sample of students (n = 30) and parents (n = 20) whose children are studying in primary classes at a school in the district of Rathnapura, Sri Lanka. In the questionnaires, participants were asked to rate how much they agreed with the statements on a five-point Likert scale, ranging from ‘strongly disagree’ to ‘strongly agree’. The quantitative data was statistically analyzed using charts and graphs, while the qualitative data was analyzed using content analysis. This study found that parents' awareness, education level, and socioeconomic background have a significant impact on children’s home learning. The findings suggest that seminars, training programs, and workshops for parents would help enhance the knowledge and skills related to home learning.