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Fulltext Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data

Ong SQ, Isawasan P, Ngesom AMM, Shahar H, Lasim AM, Nair G

Sci Rep, 2023 Nov 05;13(1):19129.
PMID: 37926755 DOI: 10.1038/s41598-023-46342-2

Machine learning algorithms (ML) are receiving a lot of attention in the development of predictive models for monitoring dengue transmission rates. Previous work has focused only on specific weather variables and algorithms, and there is still a need for a model that uses more variables and algorithms that have higher performance. In this study, we use vector indices and meteorological data as predictors to develop the ML models. We trained and validated seven ML algorithms, including an ensemble ML method, and compared their performance using the receiver operating characteristic (ROC) with the area under the curve (AUC), accuracy and F1 score. Our results show that an ensemble ML such as XG Boost, AdaBoost and Random Forest perform better than the logistics regression, Naïve Bayens, decision tree, and support vector machine (SVM), with XGBoost having the highest AUC, accuracy and F1 score. Analysis of the importance of the variables showed that the container index was the least important. By removing this variable, the ML models improved their performance by at least 6% in AUC and F1 score. Our result provides a framework for future studies on the use of predictive models in the development of an early warning system.
Fulltext Relationships among perceived quality of healthcare services, satisfaction and behavioural intentions of international students in Kuala Lumpur, Malaysia: a cross-sectional study

Aljaberi MA, Juni MH, Al-Maqtari RA, Lye MS, Saeed MA, Al-Dubai SAR, et al.

BMJ Open, 2018 09 12;8(9):e021180.
PMID: 30209153 DOI: 10.1136/bmjopen-2017-021180

OBJECTIVE: The current study aimed to investigate the relationships among the perceived quality of healthcare services, satisfaction and behavioural intentions among international students in Kuala Lumpur, Malaysia.
SETTING: A cross-sectional study on public universities in Kuala Lumpur, Malaysia.
PARTICIPANTS: All participants in this study were international students joining public universities in Kuala Lumpur, Malaysia.
PRIMARY INDEPENDENT VARIABLE: Perceived quality of healthcare services measured on a SERVQUAL scale.
PRIMARY DEPENDENT VARIABLE: Participants' satisfaction of healthcare services assessed using five items.
SECONDARY DEPENDENT VARIABLE: Behavioural intentions measured on six items.
RESULTS: Of the 556 international students, 500 (90%) completed the survey. The study used structural equation modelling (SEM) through the AMOS (Analysis of Moment Structures) software to analyse the data. SEM analyses showed that the perceived quality of healthcare services significantly and directly affected satisfaction, with a value of 89% and an effect size of 0.78. It also had a significant indirect impact on the behavioural intentions (0.78) of international students. The results indicated that participants' satisfaction had a statistically significant impact on their behavioural intentions (0.77).
CONCLUSION: Perceived quality of care is an important driver of international students' satisfaction and their behavioural intention with healthcare services. Such relations of effects among the three investigated factors were also positive and significant.
Fulltext Facing flood disaster: A cluster randomized trial assessing communities' knowledge, skills and preparedness utilizing a health model intervention

Mhd Noor MT, Kadir Shahar H, Baharudin MR, Syed Ismail SN, Abdul Manaf R, Md Said S, et al.

PLoS One, 2022;17(11):e0271258.
PMID: 36441735 DOI: 10.1371/journal.pone.0271258

Floods occur when a body of water overflows and submerges normally dry terrain. Tropical cyclones or tsunamis cause flooding. Health and safety are jeopardized during a flood. As a result, proactive flood mitigation measures are required. This study aimed to increase flood disaster preparedness among Selangor communities in Malaysia by implementing a Health Belief Model-Based Intervention (HEBI). Selangor's six districts were involved in a single-blinded cluster randomized controlled trial Community-wide implementation of a Health Belief Model-Based Intervention (HEBI). A self-administered questionnaire was used. The intervention group received a HEBI module, while the control group received a health talk on non-communicable disease. The baseline variables were compared. Immediate and six-month post-intervention impacts on outcome indicators were assessed. 284 responses with a 100% response rate. At the baseline, there were no significant differences in ethnicity, monthly household income, or past disaster experience between groups (p>0.05). There were significant differences between-group for intervention on knowledge, skills, preparedness (p<0.001), Perceived Benefit Score (p = 0.02), Perceived Barrier Score (p = 0.03), and Cues to Action (p = 0.04). GEE analysis showed receiving the HEBI module had effectively improved knowledge, skills, preparedness, Perceived Benefit Score, Perceived Barrier Score, and Cues to Action in the intervention group after controlling the covariate. Finally, community flood preparedness ensured that every crisis decision had the least impact on humans. The HEBI module improved community flood preparedness by increasing knowledge, skill, preparedness, perceived benefit, perceived barrier, and action cues. As a result, the community should be aware of this module. Clinical trial registration: The trial registry name is Thai Clinical Trials Registry, trial number TCTR20200202002.
Fulltext Self-system and mental health status among Malaysian youth attending higher educational institutions: A nationwide cross-sectional study

Mohd Azlan S, Mohamad F, Dahlan R, Ismail IZ, Kadir Shahar H, Kamaruddin KN, et al.

Malays Fam Physician, 2024;19:12.
PMID: 38496770 DOI: 10.51866/oa.34l

INTRODUCTION: Mental health disorders (MHDs) are a global health burden with an increasing prevalence. During the COVID-19 pandemic, depression was the commonest MHD, followed by anxiety and stress. This nationwide study aimed to determine the prevalence and associated factors of depression, anxiety and stress among Malaysian students attending higher educational institutions.
METHODS: A cross-sectional study was conducted from June to December 2021. Institutions were selected via stratified random sampling and students via convenience sampling. A self-administered questionnaire comprising questions on socio-demographic characteristics, academic background, substance abuse, childhood abuse, religiosity and the Depression Anxiety Stress Scale-21 was used. Data were analysed using SPSS version 27; descriptive, point-biserial correlation, chi-square and multiple binary logistic regression analyses were conducted.
RESULTS: Sex and adverse childhood experiences significantly predicted all three MHDs (P<0.05). The students from public institutions (odds ratio [OR]=0.71, 95% confidence interval [CI]=0.56-0.90, P=0.004) had a lower risk of depression than those from private institutions. The smokers/vapers (OR=1.43, 95% CI=1.02-2.02, P=0.041) a higher risk of depression than the non-smokers/non-vapers. The social science students (OR=1.29, 95% CI= 1.01-1.65, P=0.039) had a higher risk of anxiety than the science students. The students who highly engaged in organisational religious activity (OR=0.91, 95% CI=0.84-0.98, P=0.015) had a lower risk of anxiety than their counterparts.
CONCLUSION: Anxiety is the commonest MHD among Malaysian youth, followed by depression and stress. Childhood abuse is a crucial related factor requiring further attention. Screening, surveillance, preventive measures and comprehensive interventions for MHDs should be initiated among youth.
Fulltext Study protocol for a mixed methods approach to optimize colorectal cancer screening in Malaysia: Integrating stakeholders insights and knowledge-to-action framework

Chong DW, Jayaraj VJ, Ab Rahim FI, Syed Soffian SS, Azmi MF, Mohd Yusri MY, et al.

PLoS One, 2024;19(4):e0299659.
PMID: 38593177 DOI: 10.1371/journal.pone.0299659

INTRODUCTION: Colorectal cancer is a growing global health concern and the number of reported cases has increased over the years. Early detection through screening is critical to improve outcomes for patients with colorectal cancer. In Malaysia, there is an urgent need to optimize the colorectal cancer screening program as uptake is limited by multiple challenges. This study aims to systematically identify and address gaps in screening service delivery to optimize the Malaysian colorectal cancer screening program.
METHODS: This study uses a mixed methods design. It focuses primarily on qualitative data to understand processes and strategies and to identify specific areas that can be improved through stakeholder engagement in the screening program. Quantitative data play a dual role in supporting the selection of participants for the qualitative study based on program monitoring data and assessing inequalities in screening and program implementation in healthcare facilities in Malaysia. Meanwhile, literature review identifies existing strategies to improve colorectal cancer screening. Additionally, the knowledge-to-action framework is integrated to ensure that the research findings lead to practical improvements to the colorectal cancer screening program.
DISCUSSION: Through this complex mix of qualitative and quantitative methods, this study will explore the complex interplay of population- and systems-level factors that influence screening rates. It involves identifying barriers to effective colorectal cancer screening in Malaysia, comparing current strategies with international best practices, and providing evidence-based recommendations to improve the local screening program.
Fulltext Introduction of Aedes aegypti mosquitoes carrying wAlbB Wolbachia sharply decreases dengue incidence in disease hotspots

Hoffmann AA, Ahmad NW, Keong WM, Ling CY, Ahmad NA, Golding N, et al.

iScience, 2024 Feb 16;27(2):108942.
PMID: 38327789 DOI: 10.1016/j.isci.2024.108942

Partial replacement of resident Aedes aegypti mosquitoes with introduced mosquitoes carrying certain strains of inherited Wolbachia symbionts can result in transmission blocking of dengue and other viruses of public health importance. Wolbachia strain wAlbB is an effective transmission blocker and stable at high temperatures, making it particularly suitable for hot tropical climates. Following trial field releases in Malaysia, releases using wAlbB Ae. aegypti have become operationalized by the Malaysian health authorities. We report here on an average reduction in dengue fever of 62.4% (confidence intervals 50-71%) in 20 releases sites when compared to 76 control sites in high-rise residential areas. Importantly the level of dengue reduction increased with Wolbachia frequency, with 75.8% reduction (61-87%) estimated at 100% Wolbachia frequency. These findings indicate large impacts of wAlbB Wolbachia invasions on dengue fever incidence in an operational setting, with incidence expected to further decrease as wider areas are invaded.