METHODS: This cross-sectional study analysed secondary data obtained from the health clinics in Sabah, Malaysia from January to August 2016. The Pearson Chi-square test was used to analyse the relationships between malaria infection and socio-demographic characteristics. Multivariable logistic regression was performed in order to determine the risk factors for malaria in Sabah.
RESULTS: Out of 1222 patients, 410 (33.6%) had a laboratory-confirmed malaria infection. Infection by Plasmodium knowlesi accounted for the majority of malaria reports in Sabah (n=340, 82.9%). Multivariable analysis indicated that males (prevalence odds ratio 0.023, 95% confidence interval 0.012-0.047) and those living in a rural area (prevalence odds ratio 0.004, 95% confidence interval 0.002-0.009) were at higher risk 24.0-95.9) and those living in a rural area (adjusted odds ratio 212.6, 95% confidence interval 105.8-427.2) were at higher risk of acquiring a malaria infection.
CONCLUSIONS: Malaria infections in Sabah, Malaysia are common, with P. knowlesi being the most common malaria parasite. The infection was associated with several socio-demographic and geographical factors. Thus, mitigation measures should be considered to address modifiable risk factors for malaria infection.
METHODS: A literature search of PubMed, ScienceDirect, and Scopus was carried out. The search strategy was restricted to human subjects and studies are published in English. Data on sensitivity and specificity were extracted and pooled. Heterogeneity was assumed at significance level of p < 0.10 and was tested by chi squared. Degree of heterogeneity was quantified using the I2 statistic, and values of less than 25% is considered as homogenous. All analyses were performed using the software Meta-Disc.
RESULTS: A total of eleven studies were suitable for data synthesis and analysis. Five studies were analyzed for the accuracy of genetic testing, the pooled estimate for sensitivity and specificity were 71% (95% CI: 66, 75%) and 95% (95% CI: 93, 97%) respectively. Another group of studies which had been evaluated for the accuracy of FOBT, the pooled sensitivity was 31% (95% CI: 25, 38%) while the pooled specificity was 87% (95% CI: 86, 89%).
CONCLUSIONS: FOBTs is recommended to use as population-based screening tools for colorectal cancer while genetic testing should be focusing on patients with moderate and high risk individuals.
METHOD: This is a cross sectional study that was conducted among students in a public university during the early phase of COVID-19 pandemic in Malaysia. An online validated self-administered questionnaire was used to collect the data. Mann-Whitney U and Kruskal Wallis test was used to determine the association between independent variables with knowledge, attitude, and practice score.
RESULTS: Overall response rate of this study was 92.9 (n=524). Median score of knowledge domain was 78.0 (IQR= ±12.0), median attitude score of 49.0 (IQR= ±5.0), and median practice score of 80.0 (IQR= ±11.0). The mean knowledge, attitude and practice score were significantly higher among diploma holder (vs degree holder, p<0.05), residing in main Kota Kinabalu campus (vs non-KK campus, p<0.001), studying in medical faculty (vs non-medical faculty, p<0.001), and attended COVID-19 education (vs non-attendance; p<0.05).
CONCLUSION: COVID-19 related knowledge and attitude were below satisfactory level during earlier phase of the pandemic. However, majority of respondents have positive behaviour towards COVID-19 prevention. This highlights the importance of accurate and tailored health education to improve the level of knowledge, attitude and practice of recommended measures to prevent COVID-19 spread.