METHODS: The residential addresses of 3054 notified CHIKV cases in 2009-2010 were georeferenced onto a base map of Sarawak with spatial data of rivers and roads using R software. The spatiotemporal spread was determined and clusters were detected using the space-time scan statistic with SaTScan.
RESULTS: Overall CHIKV incidence was 127 per 100 000 population (range, 0-1125 within districts). The average speed of spread was 70.1 km/wk, with a peak of 228 cases/wk and the basic reproduction number (R0) was 3.1. The highest age-specific incidence rate was 228 per 100 000 in adults aged 50-54 y. Significantly more cases (79.4%) lived in rural areas compared with the general population (46.2%, p<0.0001). Five CHIKV clusters were detected. Likely spread was mostly by road, but a fifth of rural cases were spread by river travel.
CONCLUSIONS: CHIKV initially spread quickly in rural areas mainly via roads, with lesser involvement of urban areas. Delayed spread occurred via river networks to more isolated areas in the rural interior. Understanding the patterns and timings of arboviral outbreak spread may allow targeted vector control measures at key transport hubs or in large transport vehicles.
METHODS: Three national influenza surveillance systems with different levels of development (Australia, China and Malaysia) were compared and their adherence to World Health Organization (WHO) guidance was evaluated using a structured framework previously tested in several European countries consisting of seven surveillance sub-systems, 19 comparable outcomes and five evaluation criteria. Based on the results, experts from the Asia-Pacific Alliance for the Control of Influenza (APACI) issued recommendations for the improvement of existing surveillance systems.
RESULTS: Australia demonstrated the broadest scope of influenza surveillance followed by China and Malaysia. In Australia, surveillance tools covered all sub-systems. In China, surveillance did not cover non-medically attended respiratory events, primary care consultations, and excess mortality modelling. In Malaysia, surveillance consisted of primary care and hospital sentinel schemes. There were disparities between the countries across the 5 evaluation criteria, particularly regarding data granularity from health authorities, information on data representativeness, and data communication, especially the absence of publicly available influenza epidemiological reports in Malaysia. This dual approach describing the scope of surveillance and evaluating the adherence to WHO guidance enabled APACI experts to make a number of recommendations for each country that included but were not limited to introducing new surveillance tools, broadening the use of specific existing surveillance tools, collecting and sharing data on virus characteristics, developing immunization status registries, and improving public health communication.
CONCLUSIONS: Influenza monitoring in Australia, China, and Malaysia could benefit from the expansion of existing surveillance sentinel schemes, the broadened use of laboratory confirmation and the introduction of excess-mortality modelling. The results from the evaluation can be used as a basis to support expert recommendations and to enhance influenza surveillance capabilities.
METHODS: This was a retrospective descriptive study involving all IIM patients who were managed by the Rheumatology Unit HSNZ from January 2010 to December 2019.
RESULTS: In this review we described 15 cases wherein malignancy was detected in 4 patients after the diagnosis of IIM was made and 4 patients with overlap syndrome. One third of patients with malignancy and overlap syndrome had poor treatment response and succumbed to complications of the disease. Almost all of patients received corticosteroid as the first line therapy and nearly two thirds of them responded well to either corticosteroid alone or with combination therapy.
CONCLUSION: Although this study did not represent the whole population in Malaysia, it does provide a better understanding of the disease manifestation, treatment and disease complications in our cohort of patients.
RESULTS: CoV-RNA was detected in ten specimens (47.6%, n = 21). Six alphacoronavirus and four betacoronaviruses were identified. The bat-CoVs can be phylogenetically grouped into four novel clades which are closely related to Decacovirus-1 and Decacovirus-2, Sarbecovirus, and an unclassified CoV. CoVs lineages unique to the Island of Borneo were discovered in Sarawak, Malaysia, with one of them closely related to Sarbecovirus. All of them are distant from currently known human coronaviruses.
Methods: The sociodemographic data of 3325 TB cases from January 2013 to December 2017 in Gombak district were collected from the MyTB web and TB Information System database. Environmental data were obtained from the Department of Environment, Malaysia; Department of Irrigation and Drainage, Malaysia; and Malaysian Metrological Department from July 2012 to December 2017. Multiple linear regression (MLR) and artificial neural network (ANN) were used to develop the prediction model of TB cases. The models that used sociodemographic variables as the input datasets were referred as MLR1 and ANN1, whereas environmental variables were represented as MLR2 and ANN2 and both sociodemographic and environmental variables together were indicated as MLR3 and ANN3.
Results: The ANN was found to be superior to MLR with higher adjusted coefficient of determination (R2) values in predicting TB cases; the ranges were from 0.35 to 0.47 compared to 0.07 to 0.14, respectively. The best TB prediction model, that is, ANN3 was derived from nationality, residency, income status, CO, NO2, SO2, PM10, rainfall, temperature, and atmospheric pressure, with the highest adjusted R2 value of 0.47, errors below 6, and accuracies above 96%.
Conclusions: It is envisaged that the application of the ANN algorithm based on both sociodemographic and environmental factors may enable a more accurate modeling for predicting TB cases.
METHODS: A population-based door-to-door survey was carried out throughout the country, using questionnaire for brief screening in ascertainment of epilepsy, using a questionnaire and its validated multilingual versions. Respondents who were screened positive underwent second-stage diagnostic phone interview by neurologists/ research assistants.
RESULTS: A total 16, 686 respondents participated in the survey and 646 (3.8 %) respondents were screened positive during the first stage interview. A total of 185 consented for second stage diagnostic interview and 118 (63.8 %) respondents were contacted successfully for the second stage diagnostic phone interview, of which 17 (14.4 %) respondents were diagnosed to have epilepsy. An additional 68 (57.6 %) respondents had febrile seizures only. After applying a weighting factor to each respondent to adjust for non-response and for the varying probabilities of selection, the adjusted lifetime epilepsy prevalence was 7.8 in 1000 population, and the adjusted prevalence for active epilepsy was 4.2 in 1000 population in Malaysia.
CONCLUSION: The prevalence of lifetime epilepsy in Malaysia is 7.8 per 1000 persons.
METHODS: This is a retrospective cohort study. All records for admissions to paediatric wards in Sabah for acute rheumatic fever from January 2016 to December 2018 were collected. The patient records were then traced and required information were collected.
RESULTS: A total of 52 cases of acute rheumatic fever were admitted. It was observed that the incidence of acute rheumatic fever was 74.4 per 100,000 paediatric admissions. Patients from the West Coast Division made up most of the admissions (n = 24, 46.2%). Male patients (n = 35, 67.3%) of the indigenous Kadazan-Dusun ethnicity (n = 21, 40.4%) were most commonly encountered. The mean age at time of presentation was 9.58 years. Most cases admitted (n = 38, 73.1%) were categorised as Priority 1 (severe rheumatic heart disease).
CONCLUSION: Most patients who were admitted had symptoms of heart failure and were diagnosed with severe rheumatic heart disease. Although this disease is preventable, the incidence in Sabah remains high. This study was limited as we only looked at patients who were admitted and we foresee the real incidence to be higher. Hence, there is an urgent need for a rheumatic heart disease registry in Malaysia to gather more data for prevention and early intervention.
OBJECTIVE: Drawing from the theory of conservation of resources (COR), our study aims to examine possible factors that influence turnover intention among hotel employees.
METHODS: The hypotheses were tested on 141 hotel employees from Klang Valley, Malaysia. Data were collected by means of questionnaires, purposive sampling was employed, and PLS-SEM was used in performing the data analyses.
RESULTS: Job insecurity and psychological distress were found to be the potent antecedent of turnover intention. In contrast, the role of perceived supervisor support did not significantly moderate the effects of both job insecurity and psychological distress on the quitting intention.
CONCLUSION: Re-looking at existing policies and leadership styles may be fruitful in ensuring the sustainability path of an organization. This is pivotal in growing back the entire hospitality industry that has gravely affected by COVID-19.
METHOD: A retrospective cross-sectional study was carried out by assessing the data of COVID-19-infected HCWs in Sabah, Malaysia, from 1st March 2021 until 30th September 2021. Logistic regression analysis was used in this study.
RESULTS: Three thousand and forty HCWs were diagnosed with COVID-19 from 1st March 2021 until 30th September 2021. Of the 3040 HCWs, 2948 (97.0%) HCWs were mild, whereas 92 (3.0%) were severe. The multivariate logistic regression model showed that severe COVID-19 among HCWs in Sabah was associated with those do not receive any COVID-19 vaccination (aOR 6.061, 95% CI 3.408 - 10.780), underlying co-morbidity (aOR 3.335, 95% CI 2.183 - 5.096), and female (aOR 1.833, 95% CI 1.090 - 3.081).
CONCLUSION: HCWs should strictly adhere to preventive measures, including vaccination, personal protective equipment, and early referral to a physician upon identifying severe COVID-19 infection. Early screening and aggressive co-morbidity treatment among HCWs are essential for public health practitioners to prevent severe COVID-19 disease. Regardless of co-morbidity status, HCWs should stay up to date with COVID-19 vaccination, including booster doses.
MATERIALS AND METHODS: This was a cross-sectional study conducted amongst all government pharmacists in Perak. We excluded those who did not consent or were unreachable electronically. The researchers provided an online link that was forwarded to all heads of departments in Perak via social media. The respondents answered their demographic details, questions assessing their knowledge of NSI transmissible diseases, needle-stick handling practices, detail experiences of them suffering an NSI (all self-developed questionnaires), and their barriers in reporting an NSI (validated questionnaire). All responses were auto-tabulated in an excel sheet. A sample size of 516 pharmacists was needed for this study. A respondent was deemed to have inadequate knowledge when they answered any question wrongly about NSI knowledge-related questions and inappropriate practice in needle handling when respondents answered any questions wrongly for questions assessing practices.
RESULTS: A total of 524 pharmacists participated. The overall prevalence of NSI was 23.1% (n=121), of which, those with contaminated NSI were 10.3% (n=54, 95%CI: 7.9-13.30). Twothirds of the participants (66.6%) had inadequate knowledge and nearly all of them were unable to describe the appropriate needle-handling practices (94.7%). Amongst the reported barriers were "not knowing whose duty it was to report an NSI" (45.5%) and "busy schedules" (44.7%).
CONCLUSION: One in every five pharmacists in the state of Perak had a history of NSI, and 1 in every 10 had sustained a contaminated NSI. The barriers to reporting a NSI were mainly due to uncertainty about whose responsibility to report the incident and being too busy to report it.
RESULTS: Of 963 participants, 451 (46.8%) had depression and 512 (53.2%) had no depression who were either normal (n = 169, 17.5%) or had distress (n = 343, 35.6%). Participants had higher odds of having depression when living with two people (adjusted odds ratio [AOR] = 3.896, p = 0.001), three people (AOR = 2.622, p < 0.001) or four people (AOR = 3.135, p < 0.001). Participants with three children had higher odds of having depression (AOR = 2.084, p = 0.008), whereas having only one child was a protective factor for depression (AOR = 0.481, p = 0.01). Participants had higher odds of having depression when self-employed (AOR = 3.825, p = 0.003), retired (AOR = 4.526, p = 0.001), being housekeeper (AOR = 7.478, p = 0.004), not working by choice (AOR = 5.511, p < 0.001), or unemployed (AOR = 3.883, p = 0.009). Participants had higher odds of depression when living in a small town (AOR = 3.193, p < 0.001) or rural area (AOR = 3.467, p < 0.001). Participants with no chronic medical illness had lower odds of having depression (AOR = 0.589, p = 0.008).
CONCLUSION: In Malaysia during the COVID-19 pandemic, people who are living with two, three, or four people, having three children, living in a small town or rural areas, and having unstable income have higher odds of having depression. Urgent intervention for those at risk of depression is recommended.